1,097 results on '"Abdelalim, Ahmed"'
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2. Condition assessment of concrete structures using automated crack detection method for different concrete surface types based on image processing
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Shalaby, Yasmin M., Badawy, Mohamed, Ebrahim, Gamal A., and Abdelalim, Ahmed Mohammed
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- 2024
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3. Construction site layout planning considering travelling distance cost and safety relationships using a genetic algorithm technique
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Abdelalim Ahmed Mohammed, Kenawy Ahmed Mohamed, and Aman Khaled
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construction site layout planning (cslp) ,genetic algorithm (ga) ,temporary facility (tf) ,fixed facility (ff) ,access road (ar) ,Business ,HF5001-6182 - Abstract
Efficient planning for construction site layout is pivotal for the successful execution of a project, contributing to enhanced productivity and safety on the site. This involves identifying temporary structures or facilities required to support construction activities, choosing their size and arrangement, and strategic placing within the available space on the site. The problem of site layout planning is a challenging issue in combinatorial optimization, especially as it involves multiple objectives. Its complexity escalates with the increasing number of facilities and constraints. While existing research has proposed various analytical, heuristic, and meta-heuristic approaches to address this problem, many prior studies focused on a limited number of facilities, emphasizing the minimization of travelling distances while neglecting other pertinent cost-related and decision-making factors. This study aims to create practical and effective solutions for site layout by employing a realistic representation that takes into account not just travelling distance but also considers cost and safety relationships. A model for optimization with two objective functions has been developed to minimize travelling distance between facilities in order to minimize cost functions derived from various factors such as construction costs associated with different facility locations and transportation costs between locations, as well as to minimize risks based on the quantitative flow matrix and distance between facilities, as increasing in the frequency of interaction flow between facilities results in a higher probability of collision. In this research, a genetic algorithm (GA) is used as a heuristic optimization approach. A case study was applied to the model to highlight the benefits of the suggested approach, illustrating its effectiveness and comprehensive solutions for construction site layout planning.
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- 2024
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4. Quality indicators and patients' characteristics in relation to early outcome of Kasr-al-ainy stroke unit
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Zaki, Maha Atef, Abdelalim, Ahmed Mohamed, Mourad, Husam Salah, Saad, Abdallah Adel, and Fouad, Amr Mohamed
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- 2023
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5. Di-photon decay of a light Higgs state in the BLSSM
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Abdelalim, Ahmed Ali, Das, Biswaranjan, Khalil, Shaaban, and Moretti, Stefano
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High Energy Physics - Phenomenology - Abstract
In the context of the $B-L$ Supersymmetric Standard Model (BLSSM), we investigate the consistency of a light Higgs boson, with mass around $90-95$ GeV, with the results of a search performed by the CMS collaboration in the di-photon channel at the integrated luminosity of 35.9 fb$^{-1}$ and $\sqrt s$ = 13 TeV., Comment: 5 pages, 7 figures
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- 2020
6. Mapping routine measles vaccination in low- and middle-income countries
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Sbarra, Alyssa N, Rolfe, Sam, Nguyen, Jason Q, Earl, Lucas, Galles, Natalie C, Marks, Ashley, Abbas, Kaja M, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abegaz, Kedir Hussein, Abiy, Hailemariam Abiy Alemu, Abolhassani, Hassan, Abreu, Lucas Guimaraes, Abrigo, Michael RM, Abushouk, Abdelrahman I, Accrombessi, Manfred Mario Kokou, Adabi, Maryam, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adham, Davoud, Afarideh, Mohsen, Aghaali, Mohammad, Ahmad, Tauseef, Ahmadi, Raman, Ahmadi, Keivan, Ahmed, Muktar Beshir, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Alemnew, Birhan Tamene, Ali, Beriwan Abdulqadir, Ali, Muhammad, Alijanzadeh, Mehran, Alinia, Cyrus, Alipoor, Reza, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Amare, Bekalu, Amini, Saeed, Amini-Rarani, Mostafa, Amiri, Fatemeh, Amit, Arianna Maever L, Amugsi, Dickson A, Ancuceanu, Robert, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansari, Fereshteh, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Antriyandarti, Ernoiz, Anvari, Davood, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Armoon, Bahram, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asgari, Samaneh, Atafar, Zahra, Ausloos, Marcel, Awoke, Nefsu, Quintanilla, Beatriz Paulina Ayala, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azadmehr, Abbas, Azari, Samad, Babaee, Ebrahim, Badawi, Alaa, Badiye, Ashish D, Bahrami, Mohammad Amin, Baig, Atif Amin, Bakhtiari, Ahad, Balakrishnan, Senthilkumar, Banach, Maciej, Banik, Palash Chandra, Barac, Aleksandra, Baradaran-Seyed, Zahra, Baraki, Adhanom Gebreegziabher, Basu, Sanjay, Bayati, Mohsen, Bayou, Yibeltal Tebekaw, Bedi, Neeraj, Behzadifar, Masoud, Bell, Michelle L, Berbada, Dessalegn Ajema, Berhe, Kidanemaryam, Bhattarai, Suraj, Bhutta, Zulfiqar A, and Bijani, Ali
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Biomedical and Clinical Sciences ,Clinical Sciences ,Human Society ,Pediatric ,Immunization ,Clinical Research ,Prevention ,Vaccine Related ,3.4 Vaccines ,Prevention of disease and conditions ,and promotion of well-being ,Good Health and Well Being ,Child ,Child ,Preschool ,Developed Countries ,Geographic Mapping ,Healthcare Disparities ,Humans ,Internationality ,Measles ,Rural Health ,Uncertainty ,Urban Health ,Vaccination ,Vaccination Refusal ,Local Burden of Disease Vaccine Coverage Collaborators ,General Science & Technology - Abstract
The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1-4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5-8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children.
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- 2021
7. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021
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Ferreira, Manuela L, de Luca, Katie, Haile, Lydia M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Ferreira, Paulo H, Blyth, Fiona M, Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony D, Collins, Gary S, Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E, Cruz, Jessica A, Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Azadnajafabad, Sina, Bärnighausen, Till Winfried, Barrero, Lope H, Barrow, Amadou, Barzegar, Akbar, Bearne, Lindsay M, Bensenor, Isabela M, Berhie, Alemshet Yirga, Bhandari, Bharti Bhandari, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Brazo-Sayavera, Javier, Briggs, Andrew M, Cao, Chao, Charalampous, Periklis, Chattu, Vijay Kumar, Cicuttini, Flavia M, Clarsen, Benjamin, Cuschieri, Sarah, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Dehghan, Azizallah, Demie, Takele Gezahegn G, Denova-Gutiérrez, Edgar, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Diaz, Daniel, Didehdar, Mojtaba, Digesa, Lankamo Ena, Diress, Mengistie, Do, Hoa Thi, Doan, Linh Phuong, Ekholuenetale, Michael, Elhadi, Muhammed, Eskandarieh, Sharareh, Faghani, Shahriar, Fares, Jawad, Fatehizadeh, Ali, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Franklin, Richard Charles, Ganesan, Balasankar, Gemeda, Belete Negese Belete, Getachew, Motuma Erena, Ghashghaee, Ahmad, Gill, Tiffany K, Golechha, Mahaveer, Goleij, Pouya, Gupta, Bhawna, Hafezi-Nejad, Nima, Haj-Mirzaian, Arvin, Hamal, Pawan Kumar, Hanif, Asif, Harlianto, Netanja I, Hasani, Hamidreza, Hay, Simon I, Hebert, Jeffrey J, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Hlongwa, Mbuzeleni Mbuzeleni, Hosseini, Mohammad-Salar, Hsiao, Alexander Kevin, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilic, Irena M, Ilic, Milena D, Islam, Sheikh Mohammed Shariful, Janodia, Manthan Dilipkumar, Jha, Ravi Prakash, Jindal, Har Ashish, Jonas, Jost B, Kabito, Gebisa Guyasa, Kandel, Himal, Kaur, Rimple Jeet, Keshri, Vikash Ranjan, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Md Jobair, Khan, Moien AB, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Yun Jin, Kisa, Adnan, Klugarová, Jitka, Kolahi, Ali-Asghar, Koohestani, Hamid Reza, Koyanagi, Ai, Kumar, G Anil, Kumar, Narinder, Lallukka, Tea, Lasrado, Savita, Lee, Wei-Chen, Lee, Yo Han, Mahmoodpoor, Ata, Malagón-Rojas, Jeadran N, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malih, Narges, Mehndiratta, Man Mohan, Mehrabi Nasab, Entezar, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Mesregah, Mohamed Kamal, Miller, Ted R, Mirza-Aghazadeh-Attari, Mohammad, Mobarakabadi, Maryam, Mohammad, Yousef, Mohammadi, Esmaeil, Mohammed, Shafiu, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moni, Mohammad Ali, Mostafavi, Ebrahim, Murray, Christopher J L, Nair, Tapas Sadasivan, Nazari, Javad, Nejadghaderi, Seyed Aria, Neupane, Subas, Neupane Kandel, Sandhya, Nguyen, Cuong Tat, Nowroozi, Ali, Okati-Aliabad, Hassan, Omer, Emad, Oulhaj, Abderrahim, Owolabi, Mayowa O, Panda-Jonas, Songhomitra, Pandey, Anamika, Park, Eun-Kee, Pawar, Shrikant, Pedersini, Paolo, Pereira, Jeevan, Peres, Mario F P, Petcu, Ionela-Roxana, Pourahmadi, Mohammadreza, Radfar, Amir, Rahimi-Dehgolan, Shahram, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahmani, Amir Masoud, Rajai, Nazanin, Rao, Chythra R, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Renzaho, Andre M N, Rezaei, Negar, Rezaei, Zahed, Roever, Leonardo, Ruela, Guilherme de Andrade, Saddik, Basema, Sahebkar, Amirhossein, Salehi, Sana, Sanmarchi, Francesco, Sepanlou, Sadaf G, Shahabi, Saeed, Shahrokhi, Shayan, Shaker, Elaheh, Shamsi, MohammadBagher, Shannawaz, Mohammed, Sharma, Saurab, Shaygan, Maryam, Sheikhi, Rahim Ali, Shetty, Jeevan K, Shiri, Rahman, Shivalli, Siddharudha, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Ambrish, Singh, Jasvinder A, Slater, Helen, Solmi, Marco, Somayaji, Ranjani, Tan, Ker-Kan, Thapar, Rekha, Tohidast, Seyed Abolfazl, Valadan Tahbaz, Sahel, Valizadeh, Rohollah, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Vlassov, Vasily, Vo, Bay, Wang, Yuan-Pang, Wiangkham, Taweewat, Yadav, Lalit, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yonemoto, Naohiro, Younis, Mustafa Z, Zare, Iman, Zarrintan, Armin, Zoladl, Mohammad, Vos, Theo, and March, Lyn M
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- 2023
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8. Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017
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Kinyoki, Damaris K, Ross, Jennifer M, Lazzar-Atwood, Alice, Munro, Sandra B, Schaeffer, Lauren E, Bhattacharjee, Natalia V, Collison, Michael L, Cork, Michael A, Cormier, Natalie, Weaver, Nicole Davis, Deshpande, Aniruddha, Dharmaratne, Samath Dhamminda, Earl, Lucas, Henry, Nathaniel J, Hollerich, Gillian, Johnson, Kimberly B, Kassebaum, Nicholas J, Krohn, Kris J, Letourneau, Ian D, Marczak, Laurie B, Mayala, Benjamin K, Mokdad, Ali H, Mosser, Jonathan F, Murray, Christopher JL, Naghavi, Mohsen, Osgood-Zimmerman, Aaron E, Pickering, Brandon V, Pigott, David M, Ray, Sarah E, Sbarra, Alyssa N, Schipp, Megan F, VanderHeide, John, Wang, Haidong, Wiens, Kirsten E, Afshin, Ashkan, Hay, Simon I, Sartorius, Benn, Khalil, Ibrahim A, Abbasalizad-Farhangi, Mahdieh M, Hasankhani, Milad, Abbasi, Masoumeh, Farzam, Hossein, Moradi, Masoud, Rezaeian, Shahab, Abbastabar, Hedayat, Abdelalim, Ahmed, El-Jaafary, Shaimaa I, Shehata, Hatem Samir, Abdoli, Amir, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Deribe, Kebede, Abebo, Teshome Abuka, Abegaz, Kedir Hussein, Abolhassani, Hassan, Rezaei, Nima, Abreu, Lucas Guimaraes, Abrigo, Michael RM, Abushouk, Abdelrahman I, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adebiyi, Akindele Olupelumi, Ilesanmi, Olayinka Stephen, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adeoye, Abiodun Moshood, Adetokunboh, Olatunji O, Mahasha, Phetole Walter, Ndwandwe, Duduzile Edith, Nnaji, Chukwudi A, Sambala, Evanson Zondani, Adham, Davoud, Aduroja, Posi Emmanuel, Dipeolu, Isaac Oluwafemi, Ibitoye, Segun Emmanuel, John-Akinola, Yetunde O, Oluwasanu, Mojisola Morenike, Advani, Shailesh M, Afarideh, Mohsen, Esteghamati, Alireza, Ghajar, Alireza, Heidari, Behnam, Sayyah, Mehdi, Aghaali, Mohammad, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmed, Muktar Beshir, Gebrehiwot, Tsegaye Tewelde, Gesesew, Hailay Abrha, Ahmed, Rushdia, Das Gupta, Rajat, Ajumobi, Olufemi, Akal, Chalachew Genet, Demeke, Feleke Mekonnen, and Melese, Addisu
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Nutrition ,Pediatric ,Clinical Research ,Prevention ,Patient Safety ,Zero Hunger ,Child ,Child ,Preschool ,Demography ,Developing Countries ,Female ,Geographic Mapping ,Humans ,Income ,Infant ,Infant ,Newborn ,Male ,Malnutrition ,Nutritional Status ,Overweight ,Pediatric Obesity ,Poverty ,Prevalence ,Social Class ,Wasting Syndrome ,LBD Double Burden of Malnutrition Collaborators ,Medical and Health Sciences ,Immunology - Abstract
A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1-70.8) million) to 6.4% (58.3 (47.6-70.7) million), but is predicted to remain above the World Health Organization's Global Nutrition Target of
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- 2020
9. Criteria of selecting appropriate Delay Analysis Methods (DAM) for mega construction projects
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Abdelalim Ahmed Mohammed, Sherif Abdulfattah, and Abdelalkhaleq Hesham
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delay analysis methods ,mena-region ,claims ,criteria ,project circumstances ,relative importance ,Business ,HF5001-6182 - Abstract
Nowadays, one of the major sources of issues in the construction sector in the Middle East and North Africa (MENA) region is the Extension of time (EOT) claims, which is so hard to resolve. Authors and practitioners have started trials in numerous academic studies to show how to properly deploy Delay Analysis Methods (or "DAMs") and to give practitioners executive guidelines to support them with proper analyses and claim resolution. The awareness of the use of these methods is essential to realize their restrictions and capacity to fit in with various project circumstances and to select appropriate delay analysis methods. The main objective of this research is to provide a guide for the selection of appropriate DAM by defining a list of important criteria that have the most preference in choosing the effective method. These criteria will be rated by collecting feedback from experts in the MENA region through questionnaires. The survey was conducted in the United Arab Emirates (UAE) for the abundance of multinational firms working on mega construction projects with multicultural backgrounds and diversity of expertise in addition to the availability of carrying out interviews when needed and the widespread adoption of standard international construction contracts. Then, the possibility of ranking is calculated by using the Relative Importance Index (RII). This ranking will be considered as an important tool for the proper selection of convenient delay analysis methods. Ultimately this paper will facilitate the selection of appropriate DAM by Delay analyst through investigating project circumstances by mapping it with current ranked criteria.
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- 2023
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10. Di-photon decay of a light Higgs state in the BLSSM
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Abdelalim, Ahmed Ali, Das, Biswaranjan, Khalil, Shaaban, and Moretti, Stefano
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- 2022
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11. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Collaborators, GBD 2016 Neurology, Feigin, Valery L, Nichols, Emma, Alam, Tahiya, Bannick, Marlena S, Beghi, Ettore, Blake, Natacha, Culpepper, William J, Dorsey, E Ray, Elbaz, Alexis, Ellenbogen, Richard G, Fisher, James L, Fitzmaurice, Christina, Giussani, Giorgia, Glennie, Linda, James, Spencer L, Johnson, Catherine Owens, Kassebaum, Nicholas J, Logroscino, Giancarlo, Marin, Benoît, Mountjoy-Venning, W Cliff, Nguyen, Minh, Ofori-Asenso, Richard, Patel, Anoop P, Piccininni, Marco, Roth, Gregory A, Steiner, Timothy J, Stovner, Lars Jacob, Szoeke, Cassandra EI, Theadom, Alice, Vollset, Stein Emil, Wallin, Mitchell Taylor, Wright, Claire, Zunt, Joseph Raymond, Abbasi, Nooshin, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Aboyans, Victor, Abraha, Haftom Niguse, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Adsuar, Jose C, Afarideh, Mohsen, Agrawal, Sutapa, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Eyadhy, Ayman, Salman, Rustam Al-Shahi, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, Altirkawi, Khalid, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Antonio, Carl Abelardo T, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Asayesh, Hamid, Asghar, Rana Jawad, Atalay, Hagos Tasew, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayuk, Tambe B, Badawi, Alaa, Banach, Maciej, Banoub, Joseph Adel Mattar, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Baune, Bernhard T, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Blazes, Christopher Kynrint, Brayne, Carol, Butt, Zahid A, Campos-Nonato, Ismael R, and Cantu-Brito, Carlos
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Neurosciences ,Headaches ,Pain Research ,Aging ,Brain Disorders ,Prevention ,Neurodegenerative ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Good Health and Well Being ,Adult ,Age Factors ,Aged ,Aged ,80 and over ,Cause of Death ,Dementia ,Disability Evaluation ,Female ,Global Burden of Disease ,Humans ,Incidence ,Male ,Middle Aged ,Nervous System Diseases ,Prevalence ,Quality-Adjusted Life Years ,Risk Factors ,Sex Factors ,Socioeconomic Factors ,GBD 2016 Neurology Collaborators ,Clinical Sciences ,Neurology & Neurosurgery - Abstract
BackgroundNeurological disorders are increasingly recognised as major causes of death and disability worldwide. The aim of this analysis from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 is to provide the most comprehensive and up-to-date estimates of the global, regional, and national burden from neurological disorders.MethodsWe estimated prevalence, incidence, deaths, and disability-adjusted life-years (DALYs; the sum of years of life lost [YLLs] and years lived with disability [YLDs]) by age and sex for 15 neurological disorder categories (tetanus, meningitis, encephalitis, stroke, brain and other CNS cancers, traumatic brain injury, spinal cord injury, Alzheimer's disease and other dementias, Parkinson's disease, multiple sclerosis, motor neuron diseases, idiopathic epilepsy, migraine, tension-type headache, and a residual category for other less common neurological disorders) in 195 countries from 1990 to 2016. DisMod-MR 2.1, a Bayesian meta-regression tool, was the main method of estimation of prevalence and incidence, and the Cause of Death Ensemble model (CODEm) was used for mortality estimation. We quantified the contribution of 84 risks and combinations of risk to the disease estimates for the 15 neurological disorder categories using the GBD comparative risk assessment approach.FindingsGlobally, in 2016, neurological disorders were the leading cause of DALYs (276 million [95% UI 247-308]) and second leading cause of deaths (9·0 million [8·8-9·4]). The absolute number of deaths and DALYs from all neurological disorders combined increased (deaths by 39% [34-44] and DALYs by 15% [9-21]) whereas their age-standardised rates decreased (deaths by 28% [26-30] and DALYs by 27% [24-31]) between 1990 and 2016. The only neurological disorders that had a decrease in rates and absolute numbers of deaths and DALYs were tetanus, meningitis, and encephalitis. The four largest contributors of neurological DALYs were stroke (42·2% [38·6-46·1]), migraine (16·3% [11·7-20·8]), Alzheimer's and other dementias (10·4% [9·0-12·1]), and meningitis (7·9% [6·6-10·4]). For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7. The 84 risks quantified in GBD explain less than 10% of neurological disorder DALY burdens, except stroke, for which 88·8% (86·5-90·9) of DALYs are attributable to risk factors, and to a lesser extent Alzheimer's disease and other dementias (22·3% [11·8-35·1] of DALYs are risk attributable) and idiopathic epilepsy (14·1% [10·8-17·5] of DALYs are risk attributable).InterpretationGlobally, the burden of neurological disorders, as measured by the absolute number of DALYs, continues to increase. As populations are growing and ageing, and the prevalence of major disabling neurological disorders steeply increases with age, governments will face increasing demand for treatment, rehabilitation, and support services for neurological disorders. The scarcity of established modifiable risks for most of the neurological burden demonstrates that new knowledge is required to develop effective prevention and treatment strategies.FundingBill & Melinda Gates Foundation.
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- 2019
12. A note of thanks
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Abdulghani, M. Ossama, Shehab, Mohammad S., Aref, Hany, Nassef, Ayman, Abdelalim, Ahmed M., Abdulghani, Khaled O., Badry, Reda, Kamel, Mona S., and Elsamman, Amr
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- 2022
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13. VEIDEA: A Comprehensive Framework for Implementing Building Information Modeling-Based Value Engineering Within a Common Data Environment in Construction Projects.
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Abdelalim, Ahmed Mohammed, Elhakeem, Ahmed, Alnaser, Aljawharah A., Shibeika, Amna, and Elsayed, Ahmed Mahmoud
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ANALYTIC hierarchy process ,VALUE engineering ,COST overruns ,BUILDING information modeling ,FLOORING - Abstract
The Architecture, Engineering, and Construction (AEC) industry faces significant global challenges, including frequent project delays, budget overruns, and inadequate stakeholder collaboration. To address these issues, Value Engineering (VE) and Building Information Modeling (BIM) have been increasingly used in large-scale, complex construction projects. Although many studies highlight the benefits of integrating VE with BIM, its full practical potential has not yet been realized. This study aims to investigate the integration of VE and BIM within a Common Data Environment (CDE) to improve decision making and project outcomes. A comprehensive framework was developed, consisting of four interconnected modules: (1) Creating the CDE, (2) Developing the BIM Model, (3) Implementing Value Engineering, and (4) Conducting a Value Engineering Study. Central to this framework is the introduction of the VEIDEA" data bank, a structured system based on the OmniClass classification, which stores and organizes VE ideas. Additionally, the framework incorporates the Analytical Hierarchy Process (AHP) to automate the evaluation phase, assisting designers and VE teams in making data-driven decisions on design alternatives. Empirical results from a case study of an office building show significant cost savings, with a 20% reduction in reinforced concrete (RC) slab costs and a 39% reduction in flooring material costs. These findings demonstrate the potential for integrating VE and BIM to enhance cost-effectiveness and overall project performance. This study offers a novel approach to optimizing project collaboration, decision making, and efficiency in the AEC industry. [ABSTRACT FROM AUTHOR]
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- 2024
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14. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Murray, Christopher JL, Callender, Charlton SKH, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, and Atique, Suleman
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Health Sciences ,Behavioral and Social Science ,Contraception/Reproduction ,Basic Behavioral and Social Science ,Aging ,Aetiology ,2.4 Surveillance and distribution ,Reproductive health and childbirth ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Birth Rate ,Child ,Child ,Preschool ,Female ,Global Burden of Disease ,Global Health ,Humans ,Infant ,Infant ,Newborn ,Male ,Maternal Age ,Middle Aged ,Mortality ,Population Density ,Population Growth ,Young Adult ,GBD 2017 Population and Fertility Collaborators ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundPopulation estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods.MethodsWe estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories.FindingsFrom 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4-52·0). The TFR decreased from 4·7 livebirths (4·5-4·9) to 2·4 livebirths (2·2-2·5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3-200·8) since 1950, from 2·6 billion (2·5-2·6) to 7·6 billion (7·4-7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9-1·2) in Cyprus to a high of 7·1 livebirths (6·8-7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07-0·09) in South Korea to 2·4 livebirths (2·2-2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3-0·4) in Puerto Rico to a high of 3·1 livebirths (3·0-3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger.InterpretationPopulation trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress.FundingBill & Melinda Gates Foundation.
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- 2018
15. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Collaborators, GBD 2017 Causes of Death, Roth, Gregory A, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adib, Mina G, Admasie, Amha, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, and Badawi, Alaa
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Brain Disorders ,Pediatric ,Prevention ,Aetiology ,2.4 Surveillance and distribution ,Infection ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Cause of Death ,Child ,Child ,Preschool ,Female ,Global Burden of Disease ,Global Health ,Humans ,Infant ,Infant ,Newborn ,Life Expectancy ,Male ,Middle Aged ,Sex Distribution ,Socioeconomic Factors ,Young Adult ,GBD 2017 Causes of Death Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundGlobal development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017.MethodsThe causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries-Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised.FindingsAt the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5-74·1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9-19·6), and injuries 8·0% (7·7-8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7% (21·5-23·9), representing an additional 7·61 million (7·20-8·01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7·9% (7·0-8·8). The number of deaths for CMNN causes decreased by 22·2% (20·0-24·0) and the death rate by 31·8% (30·1-33·3). Total deaths from injuries increased by 2·3% (0·5-4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2-15·1) to 57·9 deaths (55·9-59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118·0% (88·8-148·6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36·4% (32·2-40·6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33·6% (31·2-36·1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990-neonatal disorders, lower respiratory infections, and diarrhoeal diseases-were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases.InterpretationImprovements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade.FundingBill & Melinda Gates Foundation.
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- 2018
16. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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James, Spencer L, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alouani, Mohamed ML, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Aminde, Leopold N, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Arauz, Antonio, Aremu, Olatunde, Ariani, Filippo, Armoon, Bahroom, Ärnlöv, Johan, Arora, Amit, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asghar, Rana Jawad, Ataro, Zerihun, Atre, Sachin R, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, and Bali, Ayele Geleto
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Prevention ,2.4 Surveillance and distribution ,Aetiology ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Child ,Child ,Preschool ,Disabled Persons ,Female ,Global Burden of Disease ,Global Health ,Humans ,Incidence ,Infant ,Infant ,Newborn ,Life Expectancy ,Male ,Middle Aged ,Morbidity ,Prevalence ,Sex Distribution ,Socioeconomic Factors ,Wounds and Injuries ,Young Adult ,GBD 2017 Disease and Injury Incidence and Prevalence Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data.MethodsWe estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting.FindingsGlobally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1-4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0-8·4) while the total sum of global YLDs increased from 562 million (421-723) to 853 million (642-1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6-9·2) for males and 6·5% (5·4-7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782-3252] per 100 000 in males vs s1400 [1279-1524] per 100 000 in females), transport injuries (3322 [3082-3583] vs 2336 [2154-2535]), and self-harm and interpersonal violence (3265 [2943-3630] vs 5643 [5057-6302]).InterpretationGlobal all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury.FundingBill & Melinda Gates Foundation.
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- 2018
17. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017
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Collaborators, GBD 2017 SDG, Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, and Anwari, Palwasha
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Prevention ,Pediatric ,Good Health and Well Being ,Peace ,Justice and Strong Institutions ,Female ,Global Burden of Disease ,Global Health ,Goals ,Health Status ,Health Status Indicators ,Humans ,Male ,Mortality ,Risk Factors ,Sex Offenses ,Sustainable Development ,United Nations ,GBD 2017 SDG Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundEfforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment.MethodsWe measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator.FindingsThe global median health-related SDG index in 2017 was 59·4 (IQR 35·4-67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6-14·0) to a high of 84·9 (83·1-86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030.InterpretationThe GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains-curative interventions in the case of NCDs-towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions-or inaction-today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030.FundingBill & Melinda Gates Foundation.
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- 2018
18. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Collaborators, GBD 2017 Risk Factor, Stanaway, Jeffrey D, Afshin, Ashkan, Gakidou, Emmanuela, Lim, Stephen S, Abate, Degu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abera, Semaw F, Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adane, Akilew Awoke, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Admasie, Amha, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Agarwal, Gina, Aggarwal, Anju, Aghayan, Sargis Aghasi, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akbari, Mohammad Esmaeil, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Alahdab, Fares, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Ali, Komal, Ali, Syed Mustafa, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avokpaho, Euripide FGA, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayer, Rakesh, and Ayuk, Tambe B
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Prevention ,Aetiology ,2.2 Factors relating to the physical environment ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Child ,Child ,Preschool ,Disabled Persons ,Environmental Exposure ,Female ,Global Burden of Disease ,Global Health ,Health Risk Behaviors ,Humans ,Infant ,Infant ,Newborn ,Life Expectancy ,Male ,Metabolic Diseases ,Middle Aged ,Occupational Diseases ,Occupational Exposure ,Quality-Adjusted Life Years ,Risk Assessment ,Sex Distribution ,Socioeconomic Factors ,Young Adult ,GBD 2017 Risk Factor Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk-outcome associations.MethodsWe used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.FindingsIn 2017, 34·1 million (95% uncertainty interval [UI] 33·3-35·0) deaths and 1·21 billion (1·14-1·28) DALYs were attributable to GBD risk factors. Globally, 61·0% (59·6-62·4) of deaths and 48·3% (46·3-50·2) of DALYs were attributed to the GBD 2017 risk factors. When ranked by risk-attributable DALYs, high systolic blood pressure (SBP) was the leading risk factor, accounting for 10·4 million (9·39-11·5) deaths and 218 million (198-237) DALYs, followed by smoking (7·10 million [6·83-7·37] deaths and 182 million [173-193] DALYs), high fasting plasma glucose (6·53 million [5·23-8·23] deaths and 171 million [144-201] DALYs), high body-mass index (BMI; 4·72 million [2·99-6·70] deaths and 148 million [98·6-202] DALYs), and short gestation for birthweight (1·43 million [1·36-1·51] deaths and 139 million [131-147] DALYs). In total, risk-attributable DALYs declined by 4·9% (3·3-6·5) between 2007 and 2017. In the absence of demographic changes (ie, population growth and ageing), changes in risk exposure and risk-deleted DALYs would have led to a 23·5% decline in DALYs during that period. Conversely, in the absence of changes in risk exposure and risk-deleted DALYs, demographic changes would have led to an 18·6% increase in DALYs during that period. The ratios of observed risk exposure levels to exposure levels expected based on SDI (O/E ratios) increased globally for unsafe drinking water and household air pollution between 1990 and 2017. This result suggests that development is occurring more rapidly than are changes in the underlying risk structure in a population. Conversely, nearly universal declines in O/E ratios for smoking and alcohol use indicate that, for a given SDI, exposure to these risks is declining. In 2017, the leading Level 4 risk factor for age-standardised DALY rates was high SBP in four super-regions: central Europe, eastern Europe, and central Asia; north Africa and Middle East; south Asia; and southeast Asia, east Asia, and Oceania. The leading risk factor in the high-income super-region was smoking, in Latin America and Caribbean was high BMI, and in sub-Saharan Africa was unsafe sex. O/E ratios for unsafe sex in sub-Saharan Africa were notably high, and those for alcohol use in north Africa and the Middle East were notably low.InterpretationBy quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning.FundingBill & Melinda Gates Foundation.
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- 2018
19. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Collaborators, GBD 2017 Mortality, Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, and Artaman, Al
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Behavioral and Social Science ,Pediatric ,Prevention ,Basic Behavioral and Social Science ,2.4 Surveillance and distribution ,Aetiology ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Child ,Child ,Preschool ,Female ,Global Burden of Disease ,Global Health ,Humans ,Infant ,Infant ,Newborn ,Life Expectancy ,Male ,Middle Aged ,Mortality ,Sex Distribution ,Socioeconomic Factors ,Young Adult ,GBD 2017 Mortality Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundAssessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.MethodsThe GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.FindingsGlobally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development.InterpretationThis analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing.FundingBill & Melinda Gates Foundation.
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- 2018
20. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
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Kyu, Hmwe Hmwe, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Molla, Abebe, Zegeye, Abil, Olifan Zewdie, Aboyans, Victor, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Ackerman, Ilana N, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Ademi, Zanfina, Adetokunboh, Olatunji O, Adib, Mina G, Adsuar, Jose C, Afanvi, Kossivi Agbelenko, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Anurag, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemiju, Tomi, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Mekhlafi, Hesham M, Al-Raddadi, Rajaa M, Alahdab, Fares, Alam, Khurshid, Alam, Tahiya, Alashi, Alaa, Alavian, Seyed Moayed, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Alonso, Jordi, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Aminde, Leopold N, Amini, Erfan, Amiresmaili, Mohammadreza, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Arora, Amit, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Ataro, Zerihun, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide FGA, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayer, Rakesh, Azzopardi, Peter S, Babazadeh, Arefeh, Badali, Hamid, and Balakrishnan, Kalpana
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Prevention ,Aging ,Good Health and Well Being ,Aged ,Communicable Diseases ,Disabled Persons ,Female ,Global Burden of Disease ,Health Status ,Healthy Lifestyle ,Humans ,Life Expectancy ,Male ,Mortality ,Mortality ,Premature ,Prevalence ,Quality-Adjusted Life Years ,Risk Factors ,Socioeconomic Factors ,Wounds and Injuries ,GBD 2017 DALYs and HALE Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundHow long one lives, how many years of life are spent in good and poor health, and how the population's state of health and leading causes of disability change over time all have implications for policy, planning, and provision of services. We comparatively assessed the patterns and trends of healthy life expectancy (HALE), which quantifies the number of years of life expected to be lived in good health, and the complementary measure of disability-adjusted life-years (DALYs), a composite measure of disease burden capturing both premature mortality and prevalence and severity of ill health, for 359 diseases and injuries for 195 countries and territories over the past 28 years.MethodsWe used data for age-specific mortality rates, years of life lost (YLLs) due to premature mortality, and years lived with disability (YLDs) from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 to calculate HALE and DALYs from 1990 to 2017. We calculated HALE using age-specific mortality rates and YLDs per capita for each location, age, sex, and year. We calculated DALYs for 359 causes as the sum of YLLs and YLDs. We assessed how observed HALE and DALYs differed by country and sex from expected trends based on Socio-demographic Index (SDI). We also analysed HALE by decomposing years of life gained into years spent in good health and in poor health, between 1990 and 2017, and extra years lived by females compared with males.FindingsGlobally, from 1990 to 2017, life expectancy at birth increased by 7·4 years (95% uncertainty interval 7·1-7·8), from 65·6 years (65·3-65·8) in 1990 to 73·0 years (72·7-73·3) in 2017. The increase in years of life varied from 5·1 years (5·0-5·3) in high SDI countries to 12·0 years (11·3-12·8) in low SDI countries. Of the additional years of life expected at birth, 26·3% (20·1-33·1) were expected to be spent in poor health in high SDI countries compared with 11·7% (8·8-15·1) in low-middle SDI countries. HALE at birth increased by 6·3 years (5·9-6·7), from 57·0 years (54·6-59·1) in 1990 to 63·3 years (60·5-65·7) in 2017. The increase varied from 3·8 years (3·4-4·1) in high SDI countries to 10·5 years (9·8-11·2) in low SDI countries. Even larger variations in HALE than these were observed between countries, ranging from 1·0 year (0·4-1·7) in Saint Vincent and the Grenadines (62·4 years [59·9-64·7] in 1990 to 63·5 years [60·9-65·8] in 2017) to 23·7 years (21·9-25·6) in Eritrea (30·7 years [28·9-32·2] in 1990 to 54·4 years [51·5-57·1] in 2017). In most countries, the increase in HALE was smaller than the increase in overall life expectancy, indicating more years lived in poor health. In 180 of 195 countries and territories, females were expected to live longer than males in 2017, with extra years lived varying from 1·4 years (0·6-2·3) in Algeria to 11·9 years (10·9-12·9) in Ukraine. Of the extra years gained, the proportion spent in poor health varied largely across countries, with less than 20% of additional years spent in poor health in Bosnia and Herzegovina, Burundi, and Slovakia, whereas in Bahrain all the extra years were spent in poor health. In 2017, the highest estimate of HALE at birth was in Singapore for both females (75·8 years [72·4-78·7]) and males (72·6 years [69·8-75·0]) and the lowest estimates were in Central African Republic (47·0 years [43·7-50·2] for females and 42·8 years [40·1-45·6] for males). Globally, in 2017, the five leading causes of DALYs were neonatal disorders, ischaemic heart disease, stroke, lower respiratory infections, and chronic obstructive pulmonary disease. Between 1990 and 2017, age-standardised DALY rates decreased by 41·3% (38·8-43·5) for communicable diseases and by 49·8% (47·9-51·6) for neonatal disorders. For non-communicable diseases, global DALYs increased by 40·1% (36·8-43·0), although age-standardised DALY rates decreased by 18·1% (16·0-20·2).InterpretationWith increasing life expectancy in most countries, the question of whether the additional years of life gained are spent in good health or poor health has been increasingly relevant because of the potential policy implications, such as health-care provisions and extending retirement ages. In some locations, a large proportion of those additional years are spent in poor health. Large inequalities in HALE and disease burden exist across countries in different SDI quintiles and between sexes. The burden of disabling conditions has serious implications for health system planning and health-related expenditures. Despite the progress made in reducing the burden of communicable diseases and neonatal disorders in low SDI countries, the speed of this progress could be increased by scaling up proven interventions. The global trends among non-communicable diseases indicate that more effort is needed to maximise HALE, such as risk prevention and attention to upstream determinants of health.FundingBill & Melinda Gates Foundation.
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- 2018
21. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016
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Collaborators, GBD 2016 Healthcare Access and Quality, Fullman, Nancy, Yearwood, Jamal, Abay, Solomon M, Abbafati, Cristiana, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy MX, Abu-Raddad, Laith J, Adane, Akilew Awoke, Adedoyin, Rufus Adesoji, Adetokunboh, Olatunji, Adhikari, Tara Ballav, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Aichour, Miloud Taki Eddine, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi F, Akseer, Nadia, Lami, Faris Hasan Al, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Alasfoor, Deena, Albittar, Mohammed I, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alijanzadeh, Mehran, Aljunid, Syed M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Alomari, Mahmoud A, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Antonio, Carl Abelardo T, Araújo, Valdelaine EM, Aremu, Olatunde, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Ashebir, Mengistu Mitiku, Asseffa, Netsanet Abera, Atey, Tesfay Mehari, Atre, Sachin R, Atteraya, Madhu S, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Quintanilla, Beatriz Paulina Ayala, Ayalew, Animut Alebel, Ayele, Henok Tadesse, Ayer, Rakesh, Ayuk, Tambe Betrand, Azzopardi, Peter, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Badali, Hamid, Badawi, Alaa, Banach, Maciej, Banerjee, Amitava, Banstola, Amrit, Barber, Ryan M, Barboza, Miguel A, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barrero, Lope H, Bassat, Quique, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, and Bedi, Neeraj
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Health Services and Systems ,Public Health ,Health Sciences ,Clinical Research ,Biodefense ,Prevention ,Vaccine Related ,Good Health and Well Being ,Communicable Diseases ,Global Burden of Disease ,Health Services Accessibility ,Humans ,Noncommunicable Diseases ,Quality of Health Care ,Wounds and Injuries ,GBD 2016 Healthcare Access and Quality Collaborators ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundA key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016.MethodsDrawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita.FindingsIn 2016, HAQ Index performance spanned from a high of 97·1 (95% UI 95·8-98·1) in Iceland, followed by 96·6 (94·9-97·9) in Norway and 96·1 (94·5-97·3) in the Netherlands, to values as low as 18·6 (13·1-24·4) in the Central African Republic, 19·0 (14·3-23·7) in Somalia, and 23·4 (20·2-26·8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91·5 (89·1-93·6) in Beijing to 48·0 (43·4-53·2) in Tibet (a 43·5-point difference), while India saw a 30·8-point disparity, from 64·8 (59·6-68·8) in Goa to 34·0 (30·3-38·1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4·8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20·9-point to 17·0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17·2-point to 20·4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries.InterpretationGBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage hinges upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view-and subsequent provision-of quality health care for all populations.FundingBill & Melinda Gates Foundation.
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- 2018
22. Developing Standard BIM Execution Plans for Complex Construction Projects
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Abdelalim, Ahmed Mohammed, primary, Shawky, Kamal, additional, A.AL Nasser, AlJawharah, additional, Shibeika, Amna, additional, and Sherif, Alaa, additional
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- 2024
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23. Digital Trio: Integration of BIM-EIR-IoT for Facilities Management of Mega Construction Projects
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Abdelalim, Ahmed Mohammed, primary, Essawy, Ahmed, additional, A.AL Nasser, AlJawharah, additional, Shibeika, Amna, additional, and Sherif, Alaa, additional
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- 2024
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24. Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies
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Abdelalim, Ahmed Mohammed, primary, Said, Salah Omar, additional, A.AL Naser, AlJawharah, additional, Sharaf, Ahmed, additional, ElSamadony, Adel, additional, Kontoni, Denise-Penelope N., additional, and Tantawy, Mohamed, additional
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- 2024
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25. Variations & Claims in International Construction Contracts (FIDIC) from Statistical Perspective in MENA Region for the Last Decade
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Abdelalim, Ahmed Mohammed, primary, Ezz Al Regal, Mohamed Ramadan, additional, AL Nasser, AlJawharah A., additional, Alwahaibi, Rawan, additional, and Tantawy, Mohamed, additional
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- 2024
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26. Fuzzy Decision Making and Statistical Analysis of Key Factors Affecting Claim Management Process Groups in Construction Projects
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Abdelalim, Ahmed Mohamed, primary, Badawy, Mohamed Galal, additional, A.AL Nasser, AlJawharah, additional, Alangari, Nujud Khalid, additional, and Tantawy, Mohamed, additional
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- 2024
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27. Global, regional, and national burden of stroke and its risk factors, 1990-2021 : a systematic analysis for the Global Burden of Disease Study 2021.
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Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abdulah, Deldar Morad, Abdulla, Auwal, Ärnlöv, Johan, Larsson, Anders, Zyoud, Samer H, Johnson, Catherine O, Roth, Gregory A, Nair, Balakrishnan Sukumaran, Rautalin, Ilari, Bhati, Anjali, Bisignano, Catherine, Vos, Theo, Murray, Christopher J L, Feigin, Valery L, Abate, Melsew Dagne, Abate, Yohannes Habtegiorgis, Abd ElHafeez, Samar, Abd-Allah, Foad, Abdelalim, Ahmed, Abdelkader, Atef, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Arash, Abdoun, Meriem, Abdulah, Deldar Morad, Abdulla, Auwal, Ärnlöv, Johan, Larsson, Anders, Zyoud, Samer H, Johnson, Catherine O, Roth, Gregory A, Nair, Balakrishnan Sukumaran, Rautalin, Ilari, Bhati, Anjali, Bisignano, Catherine, Vos, Theo, and Murray, Christopher J L
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BACKGROUND: Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990-2021. METHODS: We estimated incidence, prevalence, death, and disability-adjusted life-year (DALY) counts and age-standardised rates per 100 000 people per year for overall stroke, ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage, for 204 countries and territories from 1990 to 2021. We also calculated burden of stroke attributable to 23 risk factors and six risk clusters (air pollution, tobacco smoking, behavioural, dietary, environmental, and metabolic risks) at the global and regional levels (21 GBD regions and Socio-demographic Index [SDI] quintiles), using the standard GBD methodology. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS: In 2021, stroke was the third most common GBD level 3 cause of death (7·3 million [95% UI 6·6-7·8] deaths; 10·7% [9·8-11·3] of all deaths) after ischaemic heart disease and COVID-19, and the fourth most common cause of DALYs (160·5 million [147·8-171·6] DALYs; 5·6% [5·0-6·1] of all DALYs). In 2021, there were 93·8 million (89·0-99·3) prevalent and 11·9 million (10·7-13·2) incident strokes. We found disparities in stroke burden and risk factors by GBD region, country or territory, and SDI, as well as a stagnation in the reduction of incidence from 2015 onwards, and even some increases in the stroke incidence, death, prevalence, and DALY rates in southeast Asia, east Asia, and Oceania, countries with lower SDI, and people younger than 70 years. Globally, ischaemic stroke constituted 65·3% (62·4-67·7), intracerebral haemorrhage constituted 28·8% (28·3-28·8), an
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- 2024
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28. Developing Standard BIM Execution Plans for Complex Construction Projects.
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Abdelalim, Ahmed Mohammed, Shawky, Kamal, Alnaser, Aljawharah A., Shibeika, Amna, and Sherif, Alaa
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BUILDING information modeling ,DIGITAL transformation ,CONSTRUCTION projects ,INDUSTRIAL surveys ,CONSTRUCTION planning - Abstract
This study addresses the critical need for standardizing building information modeling (BIM) execution plans (BEPs) in the architecture, engineering, construction, and operations (AECO) sector. Through the analysis of 36 BEP documents from international organizations, we have identified crucial components and put forth a comprehensive framework with the objective of improving digital transformation and collaboration in intricate construction projects. This study utilizes scientometric analysis to chart the development of BEP standards and incorporates empirical data from industry surveys to verify the suggested framework. The results of our research emphasize the advantages of using standardized building execution plans (BEPs) to decrease inefficiencies and enhance project outcomes. This makes a substantial contribution to the field of building information modeling (BIM) implementation. [ABSTRACT FROM AUTHOR]
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- 2024
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29. Variations and Claims in International Construction Projects in the MENA Region from the Last Decade.
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Abdelalim, Ahmed Mohammed, Al-Sabah, Ruqaya, Salem, Mohamed, Said, Salah Omar, Tantawy, Mohamed, and Ezz Al-Regal, Mohamed Ramadan
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K-means clustering ,CRONBACH'S alpha ,STATISTICAL correlation ,CONSTRUCTION projects ,CLUSTER analysis (Statistics) - Abstract
This study delves into the dynamics of 'Variations' and 'Claims' in construction projects. This study aims to identify, categorize, and devise mitigation strategies for critical types of variations and claims that are aligned with the contract's FIDIC conditions. The research draws on input from construction industry professionals, including contract administrators and project managers, and focuses on the MENA region. The region's extensive adoption of FIDIC standards and the rapidly growing construction sector drive this choice. Data collection encompassed a questionnaire distributed to 80 industry experts, predominantly through interviews focused on countries such as Saudi Arabia, the UAE, Kuwait, and Egypt. Utilizing SPSS-V.25 for statistical analysis, this study uncovers the most prevalent and impactful causes of variations and claims, highlighting the critical need for managerial intervention. A key feature is the integration of scientometric analysis into a quantitative finding. Implementing a k-means clustering analysis is a significant addition to the methodology. The survey had high internal consistency with a Cronbach's alpha of 0.97, and the respondents reported frequent and significant claims such as delayed drawings, ambiguous documents, and client changes. The results showed that effective claims management requires clear communication and balanced contracts, while poor design and contract documentation cause variations and claims. The correlation analysis showed strong positive correlations between claim types and causes. To reduce claims and address these factors, most respondents said the survey could predict and reduce claims. [ABSTRACT FROM AUTHOR]
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- 2024
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30. Digital Trio: Integration of BIM–EIR–IoT for Facilities Management of Mega Construction Projects.
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Abdelalim, Ahmed Mohammed, Essawy, Ahmed, Alnaser, Aljawharah A., Shibeika, Amna, and Sherif, Alaa
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Facility Management (FM) has increasingly focused on integrating Building Information Modeling (BIM) with the Internet of Things (IoT), known as digital twins, in large-scale development projects. Effective BIM integration in FM requires improved cooperation among participants across various project stages. This digital revolution aims to enhance planning, construction, and asset management efficiency, benefiting all parties. However, BIM utilization in FM is limited by incomplete owner understanding, insufficient data accessibility, and stakeholders' unfamiliarity with BIM procedures and standards. Despite recognizing BIM's significance, the FM industry faces significant implementation challenges. Facility managers often lack a comprehensive understanding of BIM's benefits in streamlining operations and enhancing cost efficiency, as well as the necessary skills for its use. Addressing these barriers requires developing an Employer's Information Requirements (EIR) document at a project's outset, providing a strategic plan and vision for all involved parties. BIM and IoT are pivotal technologies for transitioning to efficient building operations and crucial for reducing time, costs, and operational challenges throughout any project. This research aims to establish a digital trio workflow, integrating BIM, EIR, and IoT to maximize stakeholder benefits. It explores how preparing the EIR through stakeholder communication can improve design processes, sustainability, efficiency, cost, and time, especially for megaprojects. [ABSTRACT FROM AUTHOR]
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- 2024
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31. Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies.
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Abdelalim, Ahmed Mohammed, Said, Salah Omar, Alnaser, Aljawharah A., Sharaf, Ahmed, ElSamadony, Adel, Kontoni, Denise-Penelope N., and Tantawy, Mohamed
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DIGITAL twins ,CONSTRUCTION management ,BUILDING information modeling ,CONSTRUCTION project management ,DECISION support systems - Abstract
In response to the critical need for enhanced resource management in the construction industry, this research develops an innovative, integrated methodology that synergistically combines Agent-Based Modeling (ABM), Building Information Modeling (BIM), and Bluetooth Low Energy (BLE) technologies. Central to our approach is a sophisticated technological framework that incorporates a Client Early Warning System (CEWS) and a Decision Support System (DSS). These systems facilitate real-time monitoring and management of construction resources, ensuring operational efficiency and optimal resource utilization. Our methodology was empirically validated through a comprehensive case study at Helwan University's College of Engineering. The results demonstrated a significant enhancement in operational efficiency, particularly in resource allocation and progress tracking. Key practical outcomes include the development of a CEWS master dashboard that provides in-depth, real-time insights into project metrics. This dashboard was crucial for managing compliance with health protocols during the COVID-19 pandemic, showcasing the framework's adaptability to critical health standards. Further, the integration of indoor tracking technology revolutionized attendance tracking by replacing outdated manual methods with automated processes. This capability not only underscores the practical applicability of our research but also establishes a new benchmark for future technological advancements in construction project management. Our study sets the stage for subsequent innovations, paving the way for a more connected, efficient, and data-driven approach in the construction industry. [ABSTRACT FROM AUTHOR]
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- 2024
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32. Risks Affecting the Delivery of Construction Projects in Egypt: Identifying, Assessing and Response
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Abdelalim, Ahmed Mohammed, Shehata, Hany Farouk, Editor-in-Chief, El-Zahaby, Khalid M., Advisory Editor, Chen, Dar Hao, Advisory Editor, Shehata, Mohamed, editor, and Rodrigues, Fernanda, editor
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- 2019
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33. RIAM; A Developed Risk Impact Assessment Model for Risk Factors Affecting Large Construction Projects
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Abdelalim, Ahmed Mohammed, Shehata, Hany Farouk, Editor-in-Chief, El-Zahaby, Khalid M., Advisory Editor, Chen, Dar Hao, Advisory Editor, Shehata, Mohamed, editor, and Rodrigues, Fernanda, editor
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- 2019
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34. Integrating BIM-Based Simulation Technique for Sustainable Building Design
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Abdelalim, Ahmed Mohammed, Abo.elsaud, Yasser, Shehata, Hany Farouk, Editor-in-Chief, El-Zahaby, Khalid M., Advisory Editor, Chen, Dar Hao, Advisory Editor, Shehata, Mohamed, editor, and Rodrigues, Fernanda, editor
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- 2019
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35. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17
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Deshpande, Aniruddha, Miller-Petrie, Molly K, Lindstedt, Paulina A, Baumann, Mathew M, Johnson, Kimberly B, Blacker, Brigette F, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R.M., Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhikari, Tara Ballav, Afarideh, Mohsen, Agudelo-Botero, Marcela, Ahmadi, Mehdi, Ahmadi, Keivan, Ahmed, Muktar Beshir, Ahmed, Anwar E, Akalu, Temesgen Yihunie, Akanda, Ali S, Alahdab, Fares, Al-Aly, Ziyad, Alam, Samiah, Alam, Noore, Alamene, Genet Melak, Alanzi, Turki M, Albright, James, Albujeer, Ammar, Alcalde-Rabanal, Jacqueline Elizabeth, Alebel, Animut, Alemu, Zewdie Aderaw, Ali, Muhammad, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J., Amini, Saeed, Amit, Arianna Maever L., Amul, Gianna Gayle Herrera, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansariadi, Ansariadi, Antonio, Carl Abelardo T., Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asmelash, Daniel, Atalay, Hagos Tasew, Athari, Seyyede Masoume, Athari, Seyyed Shamsadin, Atre, Sachin R, Ausloos, Marcel, Awasthi, Shally, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Aynalem, Yared Asmare, Azari, Samad, Azman, Andrew S, Babaee, Ebrahim, Badawi, Alaa, Bagherzadeh, Mojtaba, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Banach, Maciej, Banoub, Joseph Adel Mattar, Barac, Aleksandra, Barboza, Miguel A, Bärnighausen, Till Winfried, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Bedi, Neeraj, Beheshti, Mahya, Behzadifar, Meysam, Behzadifar, Masoud, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bennett, Derrick A., Benzian, Habib, Berbada, Dessalegn Ajema, Bernstein, Robert S, Bhat, Anusha Ganapati, Bhattacharyya, Krittika, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Bijani, Ali, Bikbov, Boris, Bin Sayeed, Muhammad Shahdaat, Biswas, Raaj Kishore, Bohlouli, Somayeh, Boufous, Soufiane, Brady, Oliver J, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Britton, Gabrielle B, Brown, Alexandria, Burugina Nagaraja, Sharath, Butt, Zahid A, Cámera, Luis Alberto, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Josip, Cárdenas, Rosario, Carvalho, Felix, Castañeda-Orjuela, Carlos A, Castro, Franz, Cerin, Ester, Chalise, Binaya, Chattu, Vijay Kumar, Chin, Ken Lee, Christopher, Devasahayam J, Chu, Dinh-Toi, Cormier, Natalie Maria, Costa, Vera Marisa, Cromwell, Elizabeth A, Dadi, Abel Fekadu Fekadu, Dahiru, Tukur, Dahlawi, Saad M A, Dandona, Rakhi, Dandona, Lalit, Dang, Anh Kim, Daoud, Farah, Darwesh, Aso Mohammad, Darwish, Amira Hamed, Daryani, Ahmad, Das, Jai K, Das Gupta, Rajat, Dash, Aditya Prasad, Dávila-Cervantes, Claudio Alberto, Davis Weaver, Nicole, De la Hoz, Fernando Pio, De Neve, Jan-Walter, Demissie, Dereje Bayissa, Demoz, Gebre Teklemariam, Denova-Gutiérrez, Edgar, Deribe, Kebede, Desalew, Assefa, Dharmaratne, Samath Dhamminda, Dhillon, Preeti, Dhimal, Meghnath, Dhungana, Govinda Prasad, Diaz, Daniel, Dipeolu, Isaac Oluwafemi, Do, Hoa Thi, Dolecek, Christiane, Doyle, Kerrie E, Dubljanin, Eleonora, Duraes, Andre Rodrigues, Edinur, Hisham Atan, Effiong, Andem, Eftekhari, Aziz, El Nahas, Nevine, El Sayed Zaki, Maysaa, El Tantawi, Maha, Elhabashy, Hala Rashad, El-Jaafary, Shaimaa I., El-Khatib, Ziad, Elkout, Hajer, Elsharkawy, Aisha, Enany, Shymaa, Endalew, Daniel Adane, Eshrati, Babak, Eskandarieh, Sharareh, Etemadi, Arash, Ezekannagha, Oluchi, Faraon, Emerito Jose A., Fareed, Mohammad, Faro, Andre, Farzadfar, Farshad, Fasil, Alebachew Fasil, Fazlzadeh, Mehdi, Feigin, Valery L., Fekadu, Wubalem, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A., Folayan, Morenike Oluwatoyin, Foroutan, Masoud, Franklin, Richard Charles, Frostad, Joseph Jon, Fukumoto, Takeshi, Gad, Mohamed M, Garcia, Gregory M, Gatotoh, Augustine Mwangi, Gayesa, Reta Tsegaye, Gebremedhin, Ketema Bizuwork, Geramo, Yilma Chisha Dea, Gesesew, Hailay Abrha, Gezae, Kebede Embaye, Ghashghaee, Ahmad, Ghazi Sherbaf, Farzaneh, Gill, Tiffany K, Gill, Paramjit Singh, Ginindza, Themba G, Girmay, Alem, Gizaw, Zemichael, Goodridge, Amador, Gopalani, Sameer Vali, Goulart, Bárbara Niegia Garcia, Goulart, Alessandra C, Grada, Ayman, Green, Manfred S, Gubari, Mohammed Ibrahim Mohialdeen, Gugnani, Harish Chander, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Gupta, Rajeev, Gupta, Rahul, Ha, Giang Hai, Haagsma, Juanita A., Hafezi-Nejad, Nima, Haile, Dessalegn H, Haile, Michael Tamene, Hall, Brian J., Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Hariyani, Ninuk, Hasaballah, Ahmed I., Hasan, Md. Mehedi, Hasanzadeh, Amir, Hassen, Hamid Yimam, Hayelom, Desta Haftu, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Hendrie, Delia, Henok, Andualem, Herteliu, Claudiu, Heydarpour, Fatemeh, Hidru, Hagos Degefa de, Hird, Thomas R, Hoang, Chi Linh, Hollerich, Gillian I, Hoogar, Praveen, Hossain, Naznin, Hosseinzadeh, Mehdi, Househ, Mowafa, Hu, Guoqing, Humayun, Ayesha, Hussain, Syed Ather, Hussen, Mamusha Aman A, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Milena D., Imani-Nasab, Mohammad Hasan, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Ivers, Rebecca Q, Iwu, Chinwe Juliana, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jayatilleke, Achala Upendra, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B., Jozwiak, Jacek Jerzy, Kabir, Ali, Kabir, Zubair, Kanchan, Tanuj, Karch, André, Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kasaye, Habtamu Kebebe, Kassa, Gebrehiwot G, Kassa, Getachew Mullu, Kayode, Gbenga A., Kebede, Mihiretu M, Keiyoro, Peter Njenga, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalilov, Rovshan, Khan, Ejaz Ahmad, Khan, Junaid, Khan, Md Nuruzzaman, Khatab, Khaled, Khater, Mona M, Khater, Amir M, Khayamzadeh, Maryam, Khazaei, Mohammad, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Ali, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Sezer, Kisa, Adnan, Kochhar, Sonali, Kolola, Tufa, Komaki, Hamidreza, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Krishan, Kewal, Kuate Defo, Barthelemy, Kugbey, Nuworza, Kumar, Pushpendra, Kumar, G Anil, Kumar, Manasi, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lal, Aparna, Lal, Dharmesh Kumar, Lam, Hilton, Lami, Faris Hasan, Lansingh, Van Charles, Lasrado, Savita, Lebedev, Georgy, Lee, Paul H, LeGrand, Kate E, Leili, Mostafa, Lenjebo, Tsegaye Lolaso, Leshargie, Cheru Tesema, Levine, Aubrey J, Lewycka, Sonia, Li, Shanshan, Linn, Shai, Liu, Shiwei, Lopez, Jaifred Christian F, Lopukhov, Platon D, Magdy Abd El Razek, Muhammed, Mahadeshwara Prasad, D.R., Mahasha, Phetole Walter, Mahotra, Narayan B., Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Mamun, Abdullah A, Manafi, Navid, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Martinez, Gabriel, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Mathur, Manu Raj, Mayala, Benjamin K, Mazidi, Mohsen, McAlinden, Colm, Meharie, Birhanu Geta, Mehndiratta, Man Mohan, Mehrabi Nasab, Entezar, Mehta, Kala M, Mekonnen, Teferi, Mekonnen, Tefera Chane, Meles, Gebrekiros Gebremichael, Meles, Hagazi Gebre, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Menezes, Ritesh G, Mereta, Seid Tiku, Meretoja, Tuomo J, Mestrovic, Tomislav, Metekiya, Workua Mekonnen, Miazgowski, Bartosz, Miller, Ted R, Mini, GK, Mirrakhimov, Erkin M, Moazen, Babak, Mohajer, Bahram, Mohammad, Yousef, Mohammad, Dara K., Mohammad Gholi Mezerji, Naser, Mohammadibakhsh, Roghayeh, Mohammed, Shafiu, Mohammed, Jemal Abdu, Mohammed, Hassen, Mohebi, Farnam, Mokdad, Ali H, Moodley, Yoshan, Moradi, Masoud, Moradi, Ghobad, Moradi-Joo, Mohammad, Moraga, Paula, Morales, Linda, Mosapour, Abbas, Mosser, Jonathan F., Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffor, Miliva, Munro, Sandra B, Muriithi, Moses K., Murray, Christopher J L, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naghavi, Mohsen, Naik, Gurudatta, Nangia, Vinay, Nascimento, Bruno Ramos, Nazari, Javad, Ndwandwe, Duduzile Edith, Negoi, Ionut, Netsere, Henok Biresaw, Ngunjiri, Josephine W., Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, QuynhAnh P, Nigatu, Solomon Gedlu, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nojomi, Marzieh, Norheim, Ole F, Noubiap, Jean Jacques, Oancea, Bogdan, Ogbo, Felix Akpojene, Oh, In-Hwan, Olagunju, Andrew T, Olusanya, Jacob Olusegun, Olusanya, Bolajoko Olubukunola, Onwujekwe, Obinna E, Ortega-Altamirano, Doris V., Osarenotor, Osayomwanbo, Osei, Frank B, Owolabi, Mayowa O, P A, Mahesh, Padubidri, Jagadish Rao., Pakhale, Smita, Pana, Adrian, Park, Eun-Kee, Patel, Sangram Kishor, Pathak, Ashish, Patle, Ajay, Paulos, Kebreab, Pepito, Veincent Christian Filipino, Perico, Norberto, Pervaiz, Aslam, Pescarini, Julia Moreira, Pesudovs, Konrad, Pham, Hai Quang, Pigott, David M, Pilgrim, Thomas, Pirsaheb, Meghdad, Poljak, Mario, Pollock, Ian, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Prada, Sergio I, Preotescu, Liliana, Quintana, Hedley, Rabiee, Navid, Rabiee, Mohammad, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi, Siavash, Rahimi-Movaghar, Vafa, Rahman, Muhammad Aziz, Rahman, Mohammad Hifz Ur, Rajati, Fatemeh, Ranabhat, Chhabi Lal, Rao, Puja C, Rasella, Davide, Rath, Goura Kishor, Rawaf, Salman, Rawal, Lal, Rawasia, Wasiq Faraz, Remuzzi, Giuseppe, Renjith, Vishnu, Renzaho, Andre M.N., Resnikoff, Serge, Riahi, Seyed Mohammad, Ribeiro, Ana Isabel, Rickard, Jennifer, Roever, Leonardo, Ronfani, Luca, Rubagotti, Enrico, Rubino, Salvatore, Saad, Anas M, Sabour, Siamak, Sadeghi, Ehsan, Saeedi Moghaddam, Sahar, Safari, Yahya, Sagar, Rajesh, Sahraian, Mohammad Ali, Sajadi, S. Mohammad, Salahshoor, Mohammad Reza, Salam, Nasir, Saleem, Ahsan, Salem, Hosni, Salem, Marwa Rashad, Salimi, Yahya, Salimzadeh, Hamideh, Samy, Abdallah M, Sanabria, Juan, Santos, Itamar S, Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Saraswathy, Sivan Yegnanarayana Iyer, Sarrafzadegan, Nizal, Sartorius, Benn, Sathian, Brijesh, Sathish, Thirunavukkarasu, Satpathy, Maheswar, Sawhney, Monika, Sayyah, Mehdi, Sbarra, Alyssa N, Schaeffer, Lauren E, Schwebel, David C, Senbeta, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Shafieesabet, Azadeh, Shaheen, Amira A, Shahid, Izza, Shaikh, Masood Ali, Shalash, Ali S, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomars, Sharma, Rajesh, Sheikh, Aziz, Shetty, B Suresh Kumar, Shiferaw, Wondimeneh Shibabaw, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Shirkoohi, Reza, Shivakumar, K M, Si, Si, Siabani, Soraya, Siddiqi, Tariq Jamal, Silva, Diego Augusto Santos, Singh, Virendra, Singh, Narinder Pal, Singh, Balbir Bagicha Singh, Singh, Jasvinder A., Singh, Ambrish, Sinha, Dhirendra Narain, Sisay, Malede Mequanent, Skiadaresi, Eirini, Smith, David L, Soares Filho, Adauto Martins, Sobhiyeh, Mohammad Reza, Sokhan, Anton, Soriano, Joan B, Sorrie, Muluken Bekele, Soyiri, Ireneous N, Spurlock, Emma Elizabeth, Sreeramareddy, Chandrashekhar T, Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Suleria, Hafiz Ansar Rasul, Sykes, Bryan L., Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadesse, Degena Bahrey, Tarigan, Ingan Ukur, Taye, Bineyam, Tefera, Yonatal Mesfin, Tehrani-Banihashemi, Arash, Tekelemedhin, Shishay Wahdey, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Tesfay, Berhe Etsay, Tesfay, Fisaha Haile, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, ThekkePurakkal, Akhil Soman, Thomas, Nihal, Thompson, Robert L, Thomson, Alan J, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Ullah, Irfan, Unnikrishnan, Bhaskaran, Usman, Muhammad Shariq, Uthman, Olalekan A, Uzochukwu, Benjamin S. 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36. Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17
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Wiens, Kirsten E, Lindstedt, Paulina A, Blacker, Brigette F, Johnson, Kimberly B, Baumann, Mathew M, Schaeffer, Lauren E, Abbastabar, Hedayat, Sr, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abejie, Ayenew Negesse, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abualhasan, Ahmed, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adedoyin, Rufus Adesoji, Sr, Adekanmbi, Victor, Adetokunboh, Olatunji O, Sr, Adhena, Beyene Meressa, Afarideh, Mohsen, Ahmad, Sohail, Ahmadi, Keivan, Ahmed, Anwar E, Ahmed, Muktar Beshir, Ahmed, Rushdia, Akalu, Temesgen Yihunie, Alahdab, Fares, Al-Aly, Ziyad, Alam, Noore, Sr, Alam, Samiah, Alamene, Genet Melak, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Ali, Beriwan Abdulqadir, Alijanzadeh, Mehran, Alipour, Vahid, Aljunid, Syed Mohamed, Almasi, Ali, Sr, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Sr, Amit, Arianna Maever L, Sr, Andrei, Catalina Liliana, Sr, Anjomshoa, Mina, Anoushiravani, Amir, Sr, Ansari, Fereshteh, Antonio, Carl Abelardo T, Antony, Benny, Antriyandarti, Ernoiz, Arabloo, Jalal, Aref, Hany Mohamed Amin, Sr, Aremu, Olatunde, Armoon, Bahram, Arora, Amit, Sr, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Atalay, Hagos Tasew, Athari, Seyyed Shamsadin, Sr, Athari, Seyyede Masoume, Atre, Sachin R, Ausloos, Marcel, Awoke, Nefsu, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Sr, Aynalem IV, Yared Asmare, Azari, Samad, Azzopardi, Peter S, Babaee, Ebrahim, Babalola, Tesleem Kayode, Badawi, Alaa, Sr, Bairwa, Mohan, Bakkannavar, Shankar M, Balakrishnan, Senthilkumar, Bali, Ayele Geleto, Banach, Maciej, Sr, Banoub, Joseph Adel Mattar, Sr, Barac, Aleksandra, Bärnighausen, Till Winfried, Basaleem, Huda, Basu, Sanjay, Bay, Vo Dinh, Bayati, Mohsen, Baye, Estifanos, Bedi, Neeraj, Beheshti, Mahya Mahya Beheshti, 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Gugnani, Harish Chander, Sr, Guido, Davide, Guimarães, Rafael Alves, Guo, Yuming, Sr, Gupta, Rajeev, Hafezi-Nejad, Nima, Haile, Dessalegn H, Sr, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Handiso, Demelash Woldeyohannes, Haririan, Hamidreza, Sr, Hariyani, Ninuk, Hasaballah, Ahmed I, Hasan, Md Mehedi, Hasanpoor, Edris, Hasanzadeh, Amir, Hassankhani, Hadi, Hassen, Hamid Yimam, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Behnam, Hendrie, Delia, Sr, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hidru I, Hagos Degefa de, Hird, Thomas R, Hoang, Chi Linh, Homaie Rad, Enayatollah, Hoogar, Praveen, Hoseini, Mohammad, Hossain, Naznin, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Househ, Mowafa, Hsairi, Mohamed, Sr, Hu, Guoqing, Hussen, Mohammedaman Mama, Ibitoye, Segun Emmanuel, Igumbor, Ehimario U, Sr, Ilesanmi, Olayinka Stephen, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Iwu, Chinwe Juliana, Izadi, Neda, Sr, Jaca, Anelisa, Jahanmehr, Nader, Jakovljevic, Mihajlo, Jalali, Amir, Jayatilleke, Achala Upendra, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Sr, Jonas, Jost B, Jozwiak, Jacek Jerzy, Kabir, Ali, Kabir, Zubair, Sr, Kahsay, Amaha, Kalani, Hamed, Kanchan, Tanuj, Karami Matin, Behzad, Karch, André, Karim, Mohd Anisul, Karimi-Sari, Hamidreza, Karki, Surendra, Kasaeian, Amir, Kasahun, Gebremicheal Gebreslassie, Kasahun, Yawukal chane, Kasaye, Habtamu Kebebe, Kassa, Gebrehiwot G, Kassa, Getachew Mullu, Kayode, Gbenga A, Kazemi Karyani, Ali, Kebede, Mihiretu M, Keiyoro, Peter Njenga, Kelbore, Abraham Getachew, Sr, Kengne, Andre Pascal, Sr, Ketema, Daniel Bekele, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalilov, Rovshan, Khan, Ejaz Ahmad, Sr, Khan, Junaid, Khan I, Md Nuruzzaman, Khan, Muhammad Shahzeb, Khatab, Khaled, Sr, Khater, Amir M, Khater, Mona M, Khayamzadeh, Maryam, Khazaei, Mohammad, Khazaei, Salman, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Ali, Kim, Yun Jin, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Kissoon, Niranjan, Sr, KMShivakumar, Shivakumar KM Marulasiddaiah M, Sr, Kochhar, Sonali, Kolola, Tufa, Sr, Komaki, Hamidreza, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kraemer, Moritz U G, Krishan, Kewal, Kugbey, Nuworza, Kumar, G Anil, Kumar, Manasi, Sr, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lad, Sheetal D, Lal, Dharmesh Kumar, Lam, Felix, Lami, Faris Hasan, Sr, Lamichhane, Prabhat, Lansingh, Van Charles, Lasrado, Savita, Laxmaiah, Avula, Lee, Paul H, Sr, LeGrand, Kate E, Leili, Mostafa, Lenjebo, Tsegaye Lolaso, Leshargie, Cheru Tesema, Sr, Levine, Aubrey J, Li, Shanshan, Sr, Linn, Shai, Liu, Shiwei, Liu, Simin, Lodha, Rakesh, Longbottom, Joshua, Lopez, Jaifred Christian F, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahadeshwara Prasad, D R, Mahasha, Phetole Walter, Sr, Mahotra, Narayan B, 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Mohammed, Jemal Abdu, Sr, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moodley, Yoshan, Sr, Moore, Catrin E, Sr, Moradi, Ghobad, Moradi, Masoud, Moradi-Joo, Mohammad, Moradi-Lakeh, Maziar, Moraga, Paula, Morales, Linda, Moreno Velásquez, Ilais, Mosapour, Abbas, Mouodi, Simin, Mousavi, Seyyed Meysam, Mozaffor I, Miliva, Muchie, Kindie Fentahun, Sr, Mulaw, Getahun Fentaw, Sr, Munro, Sandra B, Muriithi, Moses K, Murray, Christopher J L, Murthy, GVS, Musa, Kamarul Imran, Mustafa, Ghulam, Sr, Muthupandian, Saravanan, Sr, Nabhan, Ashraf F, Naderi, Mehdi, Nagarajan, Ahamarshan Jayaraman, Naidoo, Kovin S, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Sr, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Sr, Nazari, Javad, Ndwandwe, Duduzile Edith, Sr, Negoi, Ionut, Sr, Netsere, Henok Biresaw Netsere, Sr, Ngunjiri, Josephine W, Sr, Nguyen, Cuong Tat, Nguyen, Huong Lan Thi, Nguyen, Trang Huyen, Nigatu, Dabere, Nigatu, Solomon Gedlu, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nojomi, Marzieh, Nong, Vuong Minh, Norheim, Ole F, Sr, Noubiap, Jean Jacques, Nouraei Motlagh, Soraya, Oancea, Bogdan, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Olagunju, Andrew T, Olagunju, Tinuke O, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Onwujekwe, Obinna E, Sr, Oren, Eyal, Ortega-Altamirano, Doris V V, Sr, Osarenotor, Osayomwanbo, Osei, Frank B, Sr, Owolabi, Mayowa O, P A, Mahesh, Sr, Padubidri, Jagadish Rao, Pakhale, Smita, Patel, Sangram Kishor, Paternina-Caicedo, Angel J, Sr, Pathak, Ashish, Sr, Patton, George C, Paudel, Deepak, Sr, Paulos, Kebreab, Sr, Pepito, Veincent Christian Filipino, Pereira, Alexandre, Perico, Norberto, Pervaiz, Aslam, Pescarini, Julia Moreira, Piroozi, Bakhtiar, Pirsaheb, Meghdad, Postma, Maarten J, Pourjafar, Hadi, Pourmalek, Farshad, Sr, Pourshams, Akram, Poustchi, Hossein, Prada, Sergio I, Sr, Prasad, Narayan, Preotescu, Liliana, Quintana, Hedley, Rabiee, Navid, Radfar, Amir, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, SHAFIUR, Rajati, Fatemeh, Sr, Rana, Saleem Muhammad, Sr, Ranabhat, Chhabi Lal, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Sr, Rawal, Lal, Rawasia, Wasiq Faraz, Renjith, Vishnu, Renzaho, Andre M N, Sr, Resnikoff, Serge, Sr, Reta, Melese Abate, Rezaei, Negar, Rezai, Mohammad sadegh, Riahi, Seyed Mohammad, Ribeiro, Ana Isabel, Rickard, Jennifer, Sr, Rios-Blancas, Maria, Roever, Leonardo, Ronfani, Luca, Roro, Elias Merdassa, Sr, Ross, Jennifer M, Rubagotti, Enrico, Rubino, Salvatore, Saad, Anas M, Sabde, Yogesh Damodar, Sabour, Siamak, Sadeghi, Ehsan, Sr, Safari, Yahya, Safari-Faramani, Roya, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, S Mohammad, Salahshoor, Mohammad Reza, Salam, Nasir, Sr, Salamati, Payman, Salem, Hosni, Salem I, Marwa R Rashad, Salimi, Yahya, Salimzadeh, Hamideh, Samy, Abdallah M, Sanabria, Juan, Sr, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Saraswathy, Sivan Yegnanarayana Iyer, Sarkar, Kaushik, Sr, Sarker, Abdur Razzaque, Sarrafzadegan I, Nizal, Sartorius, Benn, Sathian, Brijesh, Sathish, Thirunavukkarasu, Sawhney, Monika, Saxena, Sonia, Sr, Schwebel, David C, Sr, Senbeta IV, Anbissa Muleta, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serván-Mori, Edson, Sr, Shabaninejad, Hosein, Shafieesabet, Azadeh, Sr, Shaikh, Masood Ali, Shalash, Ali S, Sr, Shallo, Seifadin Ahmed, Shams-Beyranvand, Mehran, Shamsi, MohammadBagher, Shamsizadeh, Morteza, Shannawaz, Mohammed, Sharafi, Kiomars, Sharifi, Hamid, Shehata, Hatem Samir, Sr, Sheikh, Aziz, Shetty, B Suresh Kumar, Sr, Shibuya, Kenji, Sr, Shiferaw, Wondimeneh Shibabaw, Sr, Shifti, Desalegn Markos, Shigematsu, Mika, Shin, Jae Il, Shiri, Rahman, Sr, Shirkoohi, Reza, Siabani, Soraya, Siddiqi, Tariq Jamal, Silva, Diego Augusto Santos, Singh, Ambrish, Singh, Jasvinder A, Singh, Narinder Pal, Singh, Virendra, Sisay, Malede Mequanent, Skiadaresi, Eirini, Sobhiyeh, Mohammad Reza, Sr, Sokhan, Anton, Soltani, Shahin, Somayaji, Ranjani, Soofi, Moslem, Sorrie, Muluken Bekele, Sr, Soyiri, Ireneous N, Sreeramareddy, Chandrashekhar T, Sudaryanto, Agus, Sufiyan, Mu'awiyyah Babale, Sr, Suleria, Hafiz Ansar Rasul, Sultana, Marufa, Sunguya, Bruno Fokas, Sykes, Bryan L, Tabarés-Seisdedos, Rafael, Tabuchi, Takahiro, Tadesse, Degena Bahrey, Jr, Tarigan, Ingan Ukur, Tasew, Aberash Abay, Tefera, Yonatal Mesfin, Sr, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Tesfay I, Berhe Etsay, Tesfay, Fisaha Haile Haile, Tessema, Belay, Tessema, Zemenu Tadesse, Thankappan, Kavumpurathu Raman, Thomas, Nihal, Toma, Alemayehu Toma, Sr, Topor-Madry, Roman, Tovani-Palone, Marcos Roberto Roberto, Traini, Eugenio, Tran, Bach Xuan, Tran, Khanh Bao, Ullah, Irfan, Unnikrishnan, Bhaskaran, Usman, Muhammad Shariq, Sr, Uzochukwu, Benjamin S Chudi, Sr, Valdez, Pascual R, Varughese, Santosh, Sr, Violante, Francesco S, Sr, Vollmer, Sebastian, Sr, W/hawariat, Feleke Gebremeskel, Sr, Waheed, Yasir, Wallin, Mitchell Taylor, Wang, Yafeng, Wang, Yuan-Pang, Weaver, Marcia, Weji, Bedilu Girma, Weldesamuel, Girmay Teklay, Welgan, Catherine A, Werdecker, Andrea, Westerman, Ronny, Sr, Wiangkham, Taweewat, Wiysonge, Charles Shey, Sr, Wolde, Haileab Fekadu, Sr, Wondafrash, Dawit Zewdu, Wonde, Tewodros Eshete, Sr, Worku, Getasew Taddesse, Sr, Wu, Ai-Min, Xu, Gelin, Yadollahpour, Ali, Yahyazadeh Jabbari, Seyed Hossein, Yamada, Tomohide, Sr, Yatsuya, Hiroshi, Yeshaneh, Alex, Yilgwan, Christopher Sabo, Yilma, Mekdes Tigistu, Yip, Paul, Sr, Yisma, Engida, Yonemoto, Naohiro, Sr, Yoon, Seok-Jun, Younis, Mustafa Z, Yousefifard, Mahmoud, Yousof, Hebat-Allah Salah A, Yu, Chuanhua, Yusefzadeh, Hasan, Zadey, Siddhesh, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zepro, Nejimu Biza, Zerfu, Taddese Alemu, Zhang, Yunquan, Zhao, Xiu-Ju George, Ziapour, Arash, Zodpey, Sanjay, Sr, Zuniga, Yves Miel H, Hay, Simon I, and Reiner, Robert C, Jr
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- 2020
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37. Study of Higgs boson decay to muon-antimuon pairs at center of mass energy 14 TeV
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Beshr, Aya, primary, Morsy, Zeinab, additional, and Abdelalim, Ahmed, additional
- Published
- 2023
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38. Clinical predictors to cognitive impairment in multiple sclerosis patients
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Elshebawy, Haidy, Fahmy, Ebtesam Mohamed, Elfayoumy, Nervana Mohamed, Abdelalim, Ahmed Mohamed, and Ismail, Rania Shehata
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- 2021
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39. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Feigin, Valery L, Nichols, Emma, Alam, Tahiya, Bannick, Marlena S, Beghi, Ettore, Blake, Natacha, Culpepper, William J, Dorsey, E Ray, Elbaz, Alexis, Ellenbogen, Richard G, Fisher, James L, Fitzmaurice, Christina, Giussani, Giorgia, Glennie, Linda, James, Spencer L, Johnson, Catherine Owens, Kassebaum, Nicholas J, Logroscino, Giancarlo, Marin, Benoît, Mountjoy-Venning, W Cliff, Nguyen, Minh, Ofori-Asenso, Richard, Patel, Anoop P, Piccininni, Marco, Roth, Gregory A, Steiner, Timothy J, Stovner, Lars Jacob, Szoeke, Cassandra E I, Theadom, Alice, Vollset, Stein Emil, Wallin, Mitchell Taylor, Wright, Claire, Zunt, Joseph Raymond, Abbasi, Nooshin, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Aboyans, Victor, Abraha, Haftom Niguse, Acharya, Dilaram, Adamu, Abdu A, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Adsuar, Jose C, Afarideh, Mohsen, Agrawal, Sutapa, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Eyadhy, Ayman, Al-Shahi Salman, Rustam, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, Altirkawi, Khalid, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Antonio, Carl Abelardo T, Arabloo, Jalal, Aremu, Olatunde, Ärnlöv, Johan, Asayesh, Hamid, Asghar, Rana Jawad, Atalay, Hagos Tasew, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayuk, Tambe B, Badawi, Alaa, Banach, Maciej, Banoub, Joseph Adel Mattar, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Baune, Bernhard T, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Blazes, Christopher Kynrint, Brayne, Carol, Butt, Zahid A, Campos-Nonato, Ismael R, Cantu-Brito, Carlos, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castro, Franz, Catalá-López, Ferrán, Cerin, Ester, Chaiah, Yazan, Chang, Jung-Chen, Chatziralli, Irini, Chiang, Peggy Pei-Chia, Christensen, Hanne, Christopher, Devasahayam J, Cooper, Cyrus, Cortesi, Paolo Angelo, Costa, Vera M, Criqui, Michael H, Crowe, Christopher Stephen, Damasceno, Albertino Antonio Moura, Daryani, Ahmad, De la Cruz-Góngora, Vanessa, De la Hoz, Fernando Pio, De Leo, Diego, Demoz, Gebre Teklemariam, Deribe, Kebede, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Dinberu, Mesfin Tadese, Djalalinia, Shirin, Doku, David Teye, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Edvardsson, David, El-Khatib, Ziad, Endres, Matthias, Endries, Aman Yesuf, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Farhadi, Farzaneh, Faro, Andre, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fatima, Batool, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morsaleh, Gankpe, Fortune Gbetoho, Garcia-Gordillo, Miguel A, Gebre, Abadi Kahsu, Gebremichael, Teklu Gebrehiwo, Gelaw, Belayneh K, Geleijnse, Johanna M, Geremew, Demeke, Gezae, Kebede Embaye, Ghasemi-Kasman, Maryam, Gidey, Mahari Y, Gill, Paramjit Singh, Gill, Tiffany K, Girma, Efrata Tufa, Gnedovskaya, Elena V, Goulart, Alessandra C, Grada, Ayman, Grosso, Giuseppe, Guo, Yuming, Gupta, Rahul, Gupta, Rajeev, Haagsma, Juanita A, Hagos, Tekleberhan B, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Hankey, Graeme J, Hao, Yuantao, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Heidari, Behnam, Henok, Andualem, Heydarpour, Fatemeh, Hoang, Chi Linh, Hole, Michael K, Homaie Rad, Enayatollah, Hosseini, Seyed Mostafa, Hu, Guoqing, Igumbor, Ehimario U, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Jakovljevic, Mihajlo, Javanbakht, Mehdi, Jha, Ravi Prakash, Jobanputra, Yash B, Jonas, Jost B, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kahsay, Amaha, Kalani, Rizwan, Kalkonde, Yogeshwar, Kamil, Teshome Abegaz, Kanchan, Tanuj, Karami, Manoochehr, Karch, André, Karimi, Narges, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kaul, Anil, Kefale, Adane Teshome, Keiyoro, Peter Njenga, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Khazaie, Habibolah, Kiadaliri, Aliasghar A, Kiirithio, Daniel N, Kim, Anthony S, Kim, Daniel, Kim, Young-Eun, Kim, Yun Jin, Kisa, Adnan, Kokubo, Yoshihiro, Koyanagi, Ai, Krishnamurthi, Rita V, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, Manasi, Lacey, Ben, Lafranconi, Alessandra, Lansingh, Van C, Latifi, Arman, Leshargie, Cheru Tesema, Li, Shanshan, Liao, Yu, Linn, Shai, Lo, Warren David, Lopez, Jaifred Christian F, Lorkowski, Stefan, Lotufo, Paulo A, Lucas, Robyn M, Lunevicius, Raimundas, Mackay, Mark T, Mahotra, Narayan Bahadur, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malta, Deborah Carvalho, Manafi, Navid, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, März, Winfried, Mashamba-Thompson, Tivani Phosa, Massenburg, Benjamin Ballard, Mate, Kedar K V, McAlinden, Colm, McGrath, John J, Mehta, Varshil, Meier, Toni, Meles, Hagazi Gebre, Melese, Addisu, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mini, GK, Mirrakhimov, Erkin M, Moazen, Babak, Mohajer, Bahram, Mohammad Gholi Mezerji, Naser, Mohammadi, Moslem, Mohammadi-Khanaposhtani, Maryam, Mohammadibakhsh, Roghayeh, Mohammadnia-Afrouzi, Mousa, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Monasta, Lorenzo, Mondello, Stefania, Moodley, Yoshan, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Moreno Velásquez, Ilais, Morrison, Shane Douglas, Mousavi, Seyyed Meysam, Muhammed, Oumer Sada, Muruet, Walter, Musa, Kamarul Imran, Mustafa, Ghulam, Naderi, Mehdi, Nagel, Gabriele, Naheed, Aliya, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Negoi, Ionut, Negoi, Ruxandra Irina, Newton, Charles Richard James, Ngunjiri, Josephine W, Nguyen, Cuong Tat, Nguyen, Long Hoang, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nixon, Molly R, Norrving, Bo, Noubiap, Jean Jacques, Nourollahpour Shiadeh, Malihe, Nyasulu, Peter S, Ogah, Okechukwu Samuel, Oh, In-Hwan, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Onwujekwe, Obinna E, Oren, Eyal, Owolabi, Mayowa Ojo, PA, Mahesh, Pakpour, Amir H, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandian, Jeyaraj Durai, Patel, Sangram Kishor, Pereira, David M, Petzold, Max, Pillay, Julian David, Piradov, Michael A, Polanczyk, Guilherme V, Polinder, Suzanne, Postma, Maarten J, Poulton, Richie, Poustchi, Hossein, Prakash, Swayam, Prakash, V, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rajati, Fatemeh, Ram, Usha, Ranta, Anna, Rawaf, David Laith, Rawaf, Salman, Reinig, Nickolas, Reis, Cesar, Renzaho, Andre M N, Resnikoff, Serge, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Rios González, Carlos Miguel, Roberts, Nicholas L S, Roever, Leonardo, Ronfani, Luca, Roro, Elias Merdassa, Roshandel, Gholamreza, Rostami, Ali, Sabbagh, Parisa, Sacco, Ralph L, Sachdev, Perminder S, Saddik, Basema, Safari, Hosein, Safari-Faramani, Roya, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salamati, Payman, Salehi Zahabi, Saleh, Salimi, Yahya, Samy, Abdallah M, Sanabria, Juan, Santos, Itamar S, Santric Milicevic, Milena M, Sarrafzadegan, Nizal, Sartorius, Benn, Sarvi, Shahabeddin, Sathian, Brijesh, Satpathy, Maheswar, Sawant, Arundhati R, Sawhney, Monika, Schneider, Ione J C, Schöttker, Ben, Schwebel, David C, Seedat, Soraya, Sepanlou, Sadaf G, Shabaninejad, Hosein, Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakir, Raad A, Shams-Beyranvand, Mehran, Shamsizadeh, Morteza, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, She, Jun, Sheikh, Aziz, Sheth, Kevin N, Shigematsu, Mika, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Siabani, Soraya, Siddiqi, Tariq J, Sigfusdottir, Inga Dora, Sigurvinsdottir, Rannveig, Silberberg, Donald H, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Smith, Mari, Sobaih, Badr Hasan, Sobhani, Soheila, Soofi, Moslem, Soyiri, Ireneous N, Sposato, Luciano A, Stein, Dan J, Stein, Murray B, Stokes, Mark A, Sufiyan, Mu'awiyyah Babale, Sykes, Bryan L, Sylaja, PN, Tabarés-Seisdedos, Rafael, Te Ao, Braden James, Tehrani-Banihashemi, Arash, Temsah, Mohamad-Hani, Temsah, Omar, Thakur, Jarnail Singh, Thrift, Amanda G, Topor-Madry, Roman, Tortajada-Girbés, Miguel, Tovani-Palone, Marcos Roberto, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Tsadik, Afewerki Gebremeskel, Tudor Car, Lorainne, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Valdez, Pascual R, Vasankari, Tommi Juhani, Vasanthan, Rajagopalan, Veisani, Yousef, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Vlassov, Vasily, Vosoughi, Kia, Vu, Giang Thu, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Wang, Yuan-Pang, Weiderpass, Elisabete, Weiss, Jordan, Whiteford, Harvey A, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles D A, Xu, Gelin, Yadollahpour, Ali, Yamada, Tomohide, Yano, Yuichiro, Yaseri, Mehdi, Yatsuya, Hiroshi, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zandian, Hamed, Zare, Zohreh, Zhang, Yunquan, Zodpey, Sanjay, Naghavi, Mohsen, Murray, Christopher J L, and Vos, Theo
- Published
- 2019
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40. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Johnson, Catherine Owens, Nguyen, Minh, Roth, Gregory A, Nichols, Emma, Alam, Tahiya, Abate, Degu, Abd-Allah, Foad, Abdelalim, Ahmed, Abraha, Haftom Niguse, Abu-Rmeileh, Niveen ME, Adebayo, Oladimeji M, Adeoye, Abiodun Moshood, Agarwal, Gina, Agrawal, Sutapa, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Alahdab, Fares, Ali, Raghib, Alvis-Guzman, Nelson, Anber, Nahla Hamed, Anjomshoa, Mina, Arabloo, Jalal, Arauz, Antonio, Ärnlöv, Johan, Arora, Amit, Awasthi, Ashish, Banach, Maciej, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Basu, Sanjay, Belachew, Abate Bekele, Belayneh, Yaschilal Muche, Bennett, Derrick A., Bensenor, Isabela M, Bhattacharyya, Krittika, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bin Sayeed, Muhammad Shahdaat, Butt, Zahid A, Cahuana-Hurtado, Lucero, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castro, Franz, Catalá-López, Ferrán, Chaiah, Yazan, Chiang, Peggy Pei-Chia, Choi, Jee-Young J, Christensen, Hanne, Chu, Dinh-Toi, Cortinovis, Monica, Damasceno, Albertino Antonio Moura, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davletov, Kairat, de Courten, Barbora, De la Cruz-Góngora, Vanessa, Degefa, Meaza Girma, Dharmaratne, Samath Dhamminda, Diaz, Daniel, Dubey, Manisha, Duken, Eyasu Ejeta, Edessa, Dumessa, Endres, Matthias, FARAON, EMERITO JOSE A, Farzadfar, Farshad, Fernandes, Eduarda, Fischer, Florian, Flor, Luisa Sorio, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebremichael, Teklu Gebrehiwo, Geta, Birhanu, Gezae, Kebede Embaye, Gill, Paramjit Singh, Gnedovskaya, Elena V., Gómez-Dantés, Hector, Goulart, Alessandra C, Grosso, Giuseppe, Guo, Yuming, Gupta, Rajeev, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamidi, Samer, Hankey, Graeme J., Hassen, Hamid Yimam, Hay, Simon I., Hegazy, Mohamed I, Heidari, Behnam, Herial, Nabeel A, Hosseini, Mohammad Ali, Hostiuc, Sorin, Irvani, Seyed Sina Naghibi, Islam, Sheikh Mohammed Shariful, Jahanmehr, Nader, Javanbakht, Mehdi, Jha, Ravi Prakash, Jonas, Jost B., Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kahsay, Amaha, Kalani, Rizwan, Kalkonde, Yogeshwar, Kamil, Teshome Abegaz, Kanchan, Tanuj, Karch, André, Karimi, Narges, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kazemeini, Hossein, Kefale, Adane Teshome, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun Jin, Kisa, Adnan, Kivimäki, Mika, Koyanagi, Ai, Krishnamurthi, Rita K, Kumar, G Anil, Lafranconi, Alessandra, Lewington, Sarah, Li, Shanshan, Lo, Warren David, Lopez, Alan D, Lorkowski, Stefan, Lotufo, Paulo A., Mackay, Mark T, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Manafi, Navid, Mansournia, Mohammad Ali, Mehndiratta, Man Mohan, Mehta, Varshil, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mirrakhimov, Erkin M, Mohajer, Bahram, Mohammad, Yousef, Mohammadoo-khorasani, Milad, Mohammed, Shafiu, Mohebi, Farnam, Mokdad, Ali H, Mokhayeri, Yaser, Moradi, Ghobad, Morawska, Lidia, Moreno Velásquez, Ilais, Mousavi, Seyyed Meysam, Muhammed, Oumer Sada S, Muruet, Walter, Naderi, Mehdi, Naghavi, Mohsen, Naik, Gurudatta, Nascimento, Bruno Ramos, Negoi, Ruxandra Irina, Nguyen, Cuong Tat, Nguyen, Long Hoang, Nirayo, Yirga Legesse, Norrving, Bo, Noubiap, Jean Jacques, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Owolabi, Mayowa Ojo, Pandian, Jeyaraj Durai, Patel, Shanti, Perico, Norberto, Piradov, Michael A, Polinder, Suzanne, Postma, Maarten J, Poustchi, Hossein, Prakash, V, Qorbani, Mostafa, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M.N., Ricci, Stefano, Roberts, Nicholas L S, Robinson, Stephen R, Roever, Leonardo, Roshandel, Gholamreza, Sabbagh, Parisa, Safari, Hosein, Safari, Saeed, Safiri, Saeid, Sahebkar, Amirhossein, Salehi Zahabi, Saleh, Samy, Abdallah M., Santalucia, Paola, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sartorius, Benn, Sawant, Arundhati R, Schutte, Aletta Elisabeth, Sepanlou, Sadaf G., Shafieesabet, Azadeh, Shaikh, Masood Ali, Shams-Beyranvand, Mehran, Sheikh, Aziz, Sheth, Kevin N., Shibuya, Kenji, Shigematsu, Mika, Shin, Min-Jeong, Shiue, Ivy, Siabani, Soraya, Sobaih, Badr Hasan, Sposato, Luciano A., Sutradhar, Ipsita, Sylaja, PN, Szoeke, Cassandra E I, Te Ao, Braden James, Temsah, Mohamad-Hani, Temsah, Omar, Thrift, Amanda G, Tonelli, Marcello, Topor-Madry, Roman, Tran, Bach Xuan, Tran, Khanh Bao, Truelsen, Thomas Clement, Tsadik, Afewerki Gebremeskel, Ullah, Irfan, Uthman, Olalekan A, Vaduganathan, Muthiah, Valdez, Pascual R, Vasankari, Tommi Juhani, Vasanthan, Rajagopalan, Venketasubramanian, Narayanaswamy, Vosoughi, Kia, Vu, Giang Thu, Waheed, Yasir, Weiderpass, Elisabete, Weldegwergs, Kidu Gidey, Westerman, Ronny, Wolfe, Charles D A, Wondafrash, Dawit Zewdu, Xu, Gelin, Yadollahpour, Ali, Yamada, Tomohide, Yatsuya, Hiroshi, Yimer, Ebrahim M, Yonemoto, Naohiro, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zamani, Mohammad, Zarghi, Afshin, Zhang, Yunquan, Zodpey, Sanjay, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
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- 2019
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41. Global, regional, and national burden of brain and other CNS cancer, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Patel, Anoop P, Fisher, James L, Nichols, Emma, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abraha, Haftom Niguse, Agius, Dominic, Alahdab, Fares, Alam, Tahiya, Allen, Christine A, Anber, Nahla Hamed, Awasthi, Ashish, Badali, Hamid, Belachew, Abate Bekele, Bijani, Ali, Bjørge, Tone, Carvalho, Félix, Catalá-López, Ferrán, Choi, Jee-Young J, Daryani, Ahmad, Degefa, Meaza Girma, Demoz, Gebre Teklemariam, Do, Huyen Phuc, Dubey, Manisha, Fernandes, Eduarda, Filip, Irina, Foreman, Kyle J, Gebre, Abadi Kahsu, Geramo, Yilma Chisha Dea, Hafezi-Nejad, Nima, Hamidi, Samer, Harvey, James D, Hassen, Hamid Yimam, Hay, Simon I, Irvani, Seyed Sina Naghibi, Jakovljevic, Mihajlo, Jha, Ravi Prakash, Kasaeian, Amir, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khang, Young-Ho, Kim, Yun Jin, Mengistu, Getnet, Mohammad, Karzan Abdulmuhsin, Mokdad, Ali H, Nagel, Gabriele, Naghavi, Mohsen, Naik, Gurudatta, Nguyen, Huong Lan Thi, Nguyen, Long Hoang, Nguyen, Trang Huyen, Nixon, Molly R, Olagunju, Andrew T, Pereira, David M, Pinilla-Monsalve, Gabriel David, Poustchi, Hossein, Qorbani, Mostafa, Radfar, Amir, Reiner, Robert C, Roshandel, Gholamreza, Safari, Hosein, Safiri, Saeid, Samy, Abdallah M, Sarvi, Shahabeddin, Shaikh, Masood Ali, Sharif, Mehdi, Sharma, Rajesh, Sheikhbahaei, Sara, Shirkoohi, Reza, Singh, Jasvinder A, Smith, Mari, Tabarés-Seisdedos, Rafael, Tran, Bach Xuan, Tran, Khanh Bao, Ullah, Irfan, Weiderpass, Elisabete, Weldegwergs, Kidu Gidey, Yimer, Ebrahim M, Zadnik, Vesna, Zaidi, Zoubida, Ellenbogen, Richard G, Vos, Theo, Feigin, Valery L, Murray, Christopher J L, and Fitzmaurice, Christina
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- 2019
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42. Global, regional, and national burden of epilepsy, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Beghi, Ettore, Giussani, Giorgia, Nichols, Emma, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abraha, Haftom Niguse, Adib, Mina G., Agrawal, Sutapa, Alahdab, Fares, Awasthi, Ashish, Ayele, Yohanes, Barboza, Miguel A, Belachew, Abate Bekele, Biadgo, Belete, Bijani, Ali, Bitew, Helen, Carvalho, Félix, Chaiah, Yazan, Daryani, Ahmad, Do, Huyen Phuc, Dubey, Manisha, Endries, Aman Yesuf Yesuf, Eskandarieh, Sharareh, Faro, Andre, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fijabi, Daniel Obadare, Filip, Irina, Fischer, Florian, Gebre, Abadi Kahsu, Tsadik, Afewerki Gebremeskel, Gebremichael, Teklu Gebrehiwo, Gezae, Kebede Embaye, Ghasemi-Kasman, Maryam, Weldegwergs, Kidu Gidey, Degefa, Meaza Girma, Gnedovskaya, Elena V., Hagos, Tekleberhan B, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hassen, Hamid Yimam, Hay, Simon I, Jakovljevic, Mihajlo, Kasaeian, Amir, Kassa, Tesfaye Dessale, Khader, Yousef Saleh, Khalil, Ibrahim, Khan, Ejaz Ahmad, Khubchandani, Jagdish, Kisa, Adnan, Krohn, Kristopher J, Kulkarni, Chanda, Nirayo, Yirga Legesse, Mackay, Mark T, Majdan, Marek, Majeed, Azeem, Manhertz, Treh, Mehndiratta, Man Mohan, Mekonen, Tesfa, Meles, Hagazi Gebre, Mengistu, Getnet, Mohammed, Shafiu, Naghavi, Mohsen, Mokdad, Ali H, Mustafa, Ghulam, Irvani, Seyed Sina Naghibi, Nguyen, Long Hoang, Nixon, Molly R, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Owolabi, Mayowa Ojo, Phillips, Michael R, Pinilla-Monsalve, Gabriel David, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Vafa, Reinig, Nickolas, Sachdev, Perminder S, Safari, Hosein, Safari, Saeed, Safiri, Saeid, Sahraian, Mohammad Ali, Samy, Abdallah M., Sarvi, Shahabeddin, Sawhney, Monika, Shaikh, Masood A, Sharif, Mehdi, Singh, Gagandeep, Smith, Mari, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Temsah, Mohamad-Hani, Temsah, Omar, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tsegay, Amanuel Amanuel Tesfay, Ullah, Irfan, Venketasubramanian, Narayanaswamy, Westerman, Ronny, Winkler, Andrea Sylvia, Yimer, Ebrahim M, Yonemoto, Naohiro, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
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- 2019
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43. Global, regional, and national burden of motor neuron diseases 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Logroscino, Giancarlo, Piccininni, Marco, Marin, Benoît, Nichols, Emma, Abd-Allah, Foad, Abdelalim, Ahmed, Alahdab, Fares, Asgedom, Solomon Weldegebreal, Awasthi, Ashish, Chaiah, Yazan, Daryani, Ahmad, Do, Huyen Phuc, Dubey, Manisha, Elbaz, Alexis, Eskandarieh, Sharareh, Farhadi, Farzaneh, Farzadfar, Farshad, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Filip, Irina, Foreman, Kyle J., Gebre, Abadi Kahsu, Gnedovskaya, Elena V., Hamidi, Samer, Hay, Simon I., Irvani, Seyed Sina Naghibi, Ji, John S., Kasaeian, Amir, Kim, Yun Jin, Mantovani, Lorenzo Giovanni, Mashamba-Thompson, Tivani Phosa, Mehndiratta, Man Mohan, Mokdad, Ali H., Nagel, Gabriele, Nguyen, Trang Huyen, Nixon, Molly R, Olagunju, Andrew T, Owolabi, Mayowa Ojo, Piradov, Michael A, Qorbani, Mostafa, Radfar, Amir, Reiner, Robert C, Sahraian, Mohammad Ali, Sarvi, Shahabeddin, Sharif, Mehdi, Temsah, Omar, Tran, Bach Xuan, Truong, Nu Thi, Venketasubramanian, Narayanaswamy, Winkler, Andrea Sylvia, Yimer, Ebrahim M, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
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- 2018
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44. Global, regional, and national burden of meningitis, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Zunt, Joseph Raymond, Kassebaum, Nicholas J, Blake, Natacha, Glennie, Linda, Wright, Claire, Nichols, Emma, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Adamu, Abdu A, Adib, Mina G., Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akseer, Nadia, Al-Raddadi, Rajaa M, Alahdab, Fares, Alene, Kefyalew Addis, Aljunid, Syed Mohamed, AlMazroa, Mohammad A, Altirkawi, Khalid, Alvis-Guzman, Nelson, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansha, Mustafa Geleto, Asghar, Rana Jawad, Avokpaho, Euripide F G A, Awasthi, Ashish, Badali, Hamid, Barac, Aleksandra, Bärnighausen, Till Winfried, Bassat, Quique, Bedi, Neeraj, Belachew, Abate Bekele, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bijani, Ali, Butt, Zahid A, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Chitheer, Abdulaal, Choi, Jee-Young J, Christopher, Devasahayam J, Dang, Anh Kim, Daryani, Ahmad, Demoz, Gebre Teklemariam, Djalalinia, Shirin, Do, Huyen Phuc, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, El Sayed Zaki, Maysaa, Elyazar, Iqbal RF, Fakhim, Hamed, Fernandes, Eduarda, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morsaleh, Gebre, Abadi Kahsu, Gebremeskel, Afewerki, Gessner, Bradford D, Gopalani, Sameer Vali, Guo, Yuming, Gupta, Rahul, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arvin, Hamidi, Samer, Hay, Simon I., Henok, Andualem, Irvani, Seyed Sina Naghibi, Jha, Ravi Prakash, JÜRISSON, Mikk, Kahsay, Amaha, Karami, Manoochehr, Karch, André, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale Dessale, Kefale, Adane Teshome, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khang, Young-Ho, Khubchandani, Jagdish, Kimokoti, Ruth W, Kisa, Adnan, Lami, Faris Hasan, Levi, Miriam, Li, Shanshan, Loy, Clement T., Majdan, Marek, Majeed, Azeem, Mantovani, Lorenzo Giovanni, Martins-Melo, Francisco Rogerlândio, Mcalinden, Colm, Mehta, Varshil, Melese, Addisu, Memish, Ziad A, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miazgowski, Bartosz, Milosevic, Branko, Mokdad, Ali H., Monasta, Lorenzo, Moradi, Ghobad, Moraga, Paula, Mousavi, Seyyed Meysam, Mueller, Ulrich Otto, Murthy, Srinivas, Mustafa, Ghulam, Naghavi, Mohsen, Naheed, Aliya, Naik, Gurudatta, Newton, Charles Richard James, Nirayo, Yirga Legesse, Nixon, Molly R, Ofori-Asenso, Richard, Ogbo, Felix Akpojene, Olagunju, Andrew T, Olagunju, Tinuke O, Olusanya, Bolajoko Olubukunola, Ortiz, Justin R, Owolabi, Mayowa Ojo, Patel, Shanti, Pinilla-Monsalve, Gabriel D., Postma, Maarten J, Qorbani, Mostafa, Rafiei, Alireza, Rahimi-Movaghar, Vafa, Reiner, Robert C, Renzaho, Andre M.N., Rezai, Mohammad Sadegh, Roba, Kedir Teji, Ronfani, Luca, Roshandel, Gholamreza, Rostami, Ali, Safari, Hosein, Safari, Saeed, Safiri, Saeid, Sagar, Rajesh, Samy, Abdallah M., Santric Milicevic, Milena M, Sartorius, Benn, Sarvi, Shahabeddin, Sawhney, Monika, Saxena, Sonia, Shafieesabet, Azadeh, Shaikh, Masood Ali, Sharif, Mehdi, Shigematsu, Mika, Si, Si, Skiadaresi, Eirini, Smith, Mari, Somayaji, Ranjani, Sufiyan, Mu'awiyyah Babale, Tawye, Nega Yimer, Temsah, Mohamad-Hani, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Vujcic, Isidora S, Wagnew, Fasil Shiferaw, Waheed, Yasir, Weldegwergs, Kidu Gidey, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wiyeh, Alison B., Wyper, Grant M.A., Yimer, Ebrahim M., Yonemoto, Naohiro, Zaidi, Zoubida, Zenebe, Zerihun Menlkalew, Feigin, Valery L., Vos, Theo, and Murray, Christopher J L
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- 2018
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45. Global, regional, and national burden of migraine and tension-type headache, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Stovner, Lars Jacob, Nichols, Emma, Steiner, Timothy J, Abd-Allah, Foad, Abdelalim, Ahmed, Al-Raddadi, Rajaa M, Ansha, Mustafa Geleto, Barac, Aleksandra, Bensenor, Isabela M, Doan, Linh Phuong, Edessa, Dumessa, Endres, Matthias, Foreman, Kyle J, Gankpe, Fortune Gbetoho, Gopalkrishna, Gururaj, Goulart, Alessandra C, Gupta, Rahul, Hankey, Graeme J, Hay, Simon I, Hegazy, Mohamed I, Hilawe, Esayas Haregot, Kasaeian, Amir, Kassa, Dessalegn H, Khalil, Ibrahim, Khang, Young-Ho, Khubchandan, Jagdish, Kim, Yun Jin, Kokubo, Yoshihiro, Mohammed, Mohammed A, Mokdad, Ali H, Moradi-Lakeh, Maziar, Nguyen, Huong Lan Thi, Nirayo, Yirga Legesse, Qorbani, Mostafa, Ranta, Anna, Roba, Kedir T, Safiri, Saeid, Santos, Itamar S, Satpathy, Maheswar, Sawhney, Monika, Shiferaw, Mekonnen Sisay, Shiue, Ivy, Smith, Mari, Szoeke, Cassandra E I, Truong, Nu Thi, Venketasubramanian, Narayanaswamy, weldegwergs, Kidu gidey, Westerman, Ronny, Wijeratne, Tissa, Tran, Bach Xuan, Yonemoto, Naohiro, Feigin, Valery L, Vos, Theo, and Murray, Christopher J L
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- 2018
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46. Global, regional, and national burden of Parkinson's disease, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Dorsey, E. Ray, Elbaz, Alexis, Nichols, Emma, Abbasi, Nooshin, Abd-Allah, Foad, Abdelalim, Ahmed, Adsuar, Jose C., Ansha, Mustafa Geleto, Brayne, Carol, Choi, Jee-Young J, Collado-Mateo, Daniel, Dahodwala, Nabila, Do, Huyen Phuc, Edessa, Dumessa, Endres, Matthias, Fereshtehnejad, Seyed-Mohammad, Foreman, Kyle J, Gankpe, Fortune Gbetoho, Gupta, Rahul, Hamidi, Samer, Hankey, Graeme J., Hay, Simon I., Hegazy, Mohamed I, Hibstu, Desalegn T., Kasaeian, Amir, Khader, Yousef, Khalil, Ibrahim, Khang, Young-Ho, Kim, Yun Jin, Kokubo, Yoshihiro, Logroscino, Giancarlo, Massano, João, Mohamed Ibrahim, Norlinah, Mohammed, Mohammed A., Mohammadi, Alireza, Moradi-Lakeh, Maziar, Naghavi, Mohsen, Nguyen, Binh Thanh, Nirayo, Yirga Legesse, Ogbo, Felix Akpojene, Owolabi, Mayowa Ojo, Pereira, David M., Postma, Maarten J, Qorbani, Mostafa, Rahman, Muhammad Aziz, Roba, Kedir T., Safari, Hosein, Safiri, Saeid, Satpathy, Maheswar, Sawhney, Monika, Shafieesabet, Azadeh, Shiferaw, Mekonnen Sisay, Smith, Mari, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Truong, Nu Thi, Ukwaja, Kingsley Nnanna, Venketasubramanian, Narayanaswamy, Villafaina, Santos, weldegwergs, Kidu gidey, Westerman, Ronny, Wijeratne, Tissa, Winkler, Andrea S., Xuan, Bach Tran, Yonemoto, Naohiro, Feigin, Valery L, Vos, Theo, and Murray, Christopher J L
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- 2018
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47. A study of diffusion tensor imaging of median nerve in diabetic peripheral neuropathy
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Edward, Ramy, Abdelalim, Ahmed M., Ashour, Amal S., Afifi, Lamia, and Al-Athwari, Aussan
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- 2020
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48. Measurements of the azimuthal anisotropy of prompt and nonprompt charmonia in PbPb collisions at $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV
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Tumasyan, Armen, Adam, Wolfgang, Krammer, Natascha, Dos Santos Sousa, Vitor, Kim, Bobae, Kim, Dong Hee, Kim, Gui Nyun, Kim, Jiwoong, Lee, Jeongeun, Lee, Seh Wook, Moon, Chang-Seong, Oh, Young Do, Pak, Sang Il, Ryu, Min Sang, Fonseca De Souza, Sandro, Sekmen, Sezen, Yang, Yu Chul, Bak, Gyeonghwan, Gwak, Piljun, Kim, Hyunchul, Moon, Dong Ho, Asilar, Ece, Kim, Tae Jeong, Park, Jiwon, Choi, Suyong, Martins, Jordan, Han, Seyoung, Hong, Byung-Sik, Lee, Kisoo, Lee, Kyong Sei, Lim, Jaehoon, Park, Jaebeom, Park, Sung Keun, Yoo, Jaehyeok, Goh, Junghwan, Kim, Hyunsoo, Mora Herrera, Clemencia, Kim, Yongsun, Lee, Seungjun, Almond, John, Bhyun, Ji Hwan, Choi, Junho, Jeon, Sihyun, Kim, Junho, Kim, Jae Sung, Ko, Sanghyun, Kwon, Hyejin, Mota Amarilo, Kevin, Lee, Haneol, Lee, Sangeun, Oh, Byung Hun, Oh, Sung Bin, Seo, Hyonsan, Yang, Unki, Yoon, Inseok, Jang, Woojin, Kang, Da Young, Kang, Yechan, Mundim, Luiz, Kim, Donghyun, Kim, Seulgi, Ko, Byeonghak, Lee, Jason Sang Hun, Lee, Yunjae, Merlin, Jeremie Alexandre, Park, Inkyu, Roh, Youn, Song, Donghyun, Watson, Ian, Nogima, Helio, Yang, Seungjin, Ha, Seungkyu, Yoo, Hwi Dong, Choi, Minuk, Kim, Mi Ran, Lee, Heewon, Lee, Yonghoon, Lee, Younghoon, Yu, Intae, Beyrouthy, Taha, Santoro, Alberto, Maghrbi, Yasser, Dreimanis, Karlis, Pikurs, Guntis, Seidel, Markus, Veckalns, Viesturs, Ambrozas, Marijus, Carvalho Antunes De Oliveira, Alexandra, Juodagalvis, Andrius, Rinkevicius, Aurelijus, Tamulaitis, Gintautas, Silva Do Amaral, Sheila Mara, Bin Norjoharuddeen, Nurfikri, Hoh, Siew Yan, Yusuff, Imran, Zolkapli, Zukhaimira, Benitez, Jose F., Castaneda Hernandez, Alfredo, Encinas Acosta, Hedwin Aaron, Gallegos Maríñez, Luis Gabriel, León Coello, Moisés, Murillo Quijada, Javier Alberto, Sznajder, Andre, Sehrawat, Ashish, Valencia Palomo, Lizardo, Ayala, Gabriel, Castilla-Valdez, Heriberto, Heredia-De La Cruz, Ivan, Lopez-Fernandez, Ricardo, Mondragon Herrera, Cesar Atzin, Perez Navarro, Daniel Alejandro, Sánchez Hernández, Alberto, Oropeza Barrera, Cristina, Lechner, Lukas, Thiel, Mauricio, Vazquez Valencia, Fabiola, Pedraza, Isabel, Salazar Ibarguen, Humberto Antonio, Uribe Estrada, Cecilia, Bubanja, Itana, Mijuskovic, Jelena, Raicevic, Natasa, Ahmad, Ashfaq, Asghar, Muhammad Irfan, Awais, Ali, Torres Da Silva De Araujo, Felipe, Awan, Muhammad Imran Malik, Gul, Muhammad, Hoorani, Hafeez R., Khan, Wajid Ali, Shoaib, Muhammad, Waqas, Muhammad, Avati, Valentina, Grzanka, Leszek, Malawski, Maciej, Bialkowska, Helena, Vilela Pereira, Antonio, Bluj, Michal, Boimska, Bozena, Górski, Maciej, Kazana, Malgorzata, Szleper, Michal, Zalewski, Piotr, Bunkowski, Karol, Doroba, Krzysztof, Kalinowski, Artur, Konecki, Marcin, Bernardes, Cesar Augusto, Krolikowski, Jan, Araujo, Mariana, Bargassa, Pedrame, Bastos, Diogo, Boletti, Alessio, Faccioli, Pietro, Gallinaro, Michele, Hollar, Jonathan, Leonardo, Nuno, Niknejad, Tahereh Sadat, Calligaris, Luigi, Pisano, Matteo, Seixas, Joao, Varela, Joao, Adzic, Petar, Dordevic, Milos, Milenovic, Predrag, Milosevic, Jovan, Aguilar-Benitez, Manuel, Alcaraz Maestre, Juan, Álvarez Fernández, Adrian, Tomei, Thiago, Barrio Luna, Mar, Fernandez Bedoya, Cristina, Carrillo Montoya, Camilo Andres, Cepeda, Maria, Cerrada, Marcos, Colino, Nicanor, De La Cruz, Begona, Delgado Peris, Antonio, Fernández Del Val, Diego, Fernández Ramos, Juan Pablo, De Moraes Gregores, Eduardo, Flix, Jose, Fouz, Maria Cruz, Gonzalez Lopez, Oscar, Goy Lopez, Silvia, Hernandez, Jose M., Josa, Maria Isabel, León Holgado, Jaime, Moran, Dermot, Perez Dengra, Carlos, Pérez-Calero Yzquierdo, Antonio María, Mercadante, Pedro G., Puerta Pelayo, Jesus, Redondo, Ignacio, Redondo Ferrero, David Daniel, Romero, Luciano, Sánchez Navas, Sergio, Sastre, Javier, Urda Gómez, Lourdes, Vazquez Escobar, Julia, Willmott, Carlos, de Trocóniz, Jorge F., Novaes, Sergio F., Alvarez Gonzalez, Barbara, Cuevas, Javier, Fernandez Menendez, Javier, Folgueras, Santiago, Gonzalez Caballero, Isidro, González Fernández, Juan Rodrigo, Palencia Cortezon, Enrique, Ramón Álvarez, Clara, Rodríguez Bouza, Víctor, Soto Rodríguez, Alejandro, Padula, Sandra, Trapote, Andrea, Vico Villalba, Carlos, Brochero Cifuentes, Javier Andres, Cabrillo, Iban Jose, Calderon, Alicia, Duarte Campderros, Jordi, Fernandez, Marcos, Fernandez Madrazo, Celia, García Alonso, Andrea, Gomez, Gervasio, Liko, Dietrich, Aleksandrov, Aleksandar, Lasaosa García, Clara, Martinez Rivero, Celso, Martinez Ruiz del Arbol, Pablo, Matorras, Francisco, Matorras Cuevas, Pablo, Piedra Gomez, Jonatan, Prieels, Cédric, Ruiz-Jimeno, Alberto, Scodellaro, Luca, Vila, Ivan, Antchev, Georgy, Vizan Garcia, Jesus Manuel, Malagalage, Kithsiri, Kailasapathy, Balashangar, Sonnadara, Don Upul Jayasiri, Dhammage, Deshitha Chamikara Wickramarathna, Dharmaratna, Welathantri G. D., Liyanage, Kalpanie, Perera, Nimantha, Wickramage, Nadeesha, Abbaneo, Duccio, Hadjiiska, Roumyana, Alimena, Juliette, Auffray, Etiennette, Auzinger, Georg, Baechler, Joachim, Baillon, Paul, Barney, David, Bendavid, Joshua, Bianco, Michele, Bilin, Bugra, Bocci, Andrea, Iaydjiev, Plamen, Brondolin, Erica, Caillol, Cécile, Camporesi, Tiziano, Cerminara, Gianluca, Chernyavskaya, Nadezda, Chhibra, Simranjit Singh, Choudhury, Somnath, Cipriani, Marco, Cristella, Leonardo, D'Enterria, David, Misheva, Milena, Dabrowski, Anne, David Tinoco Mendes, Andre, De Roeck, Albert, Defranchis, Matteo Maria, Deile, Mario, Dobson, Marc, Dünser, Marc, Dupont, Niels, Fallavollita, Francesco, Florent, Alice, Rodozov, Mircho, Forthomme, Laurent, Franzoni, Giovanni, Funk, Wolfgang, Ghosh, Saranya, Giani, Simone, Gigi, Dominique, Gill, Karl, Glege, Frank, Gouskos, Loukas, Govorkova, Ekaterina, Shopova, Mariana, Haranko, Mykyta, Hegeman, Jeroen, Innocente, Vincenzo, James, Thomas, Janot, Patrick, Kaspar, Jan, Kieseler, Jan, Kratochwil, Nicolaus, Laurila, Santeri, Lecoq, Paul, Sultanov, Georgi, Leutgeb, Elias, Lourenco, Carlos, Maier, Benedikt, Malgeri, Luca, Mannelli, Marcello, Marini, Andrea Carlo, Meijers, Frans, Mersi, Stefano, Meschi, Emilio, Moortgat, Filip, Dimitrov, Anton, Mulders, Martijn, Orfanelli, Styliani, Orsini, Luciano, Pantaleo, Felice, Perez, Emmanuel, Peruzzi, Marco, Petrilli, Achille, Petrucciani, Giovanni, Pfeiffer, Andreas, Pierini, Maurizio, Ivanov, Todor, Piparo, Danilo, Pitt, Michael, Qu, Huilin, Quast, Thorben, Rabady, Dinyar, Racz, Attila, Reales Gutiérrez, Guillermo, Rovere, Marco, Sakulin, Hannes, Salfeld-Nebgen, Jakob, Mikulec, Ivan, Litov, Leander, Scarfi, Simone, Selvaggi, Michele, Sharma, Archana, Silva, Pedro, Sphicas, Paraskevas, Stahl Leiton, Andre Govinda, Summers, Sioni, Tatar, Kaya, Tavolaro, Vittorio Raoul, Treille, Daniel, Pavlov, Borislav, Tropea, Paola, Tsirou, Andromachi, Wanczyk, Joanna, Wozniak, Kinga Anna, Zeuner, Wolfram Dietrich, Caminada, Lea, Ebrahimi, Aliakbar, Erdmann, Wolfram, Horisberger, Roland, Ingram, Quentin, Petkov, Peicho, Kaestli, Hans-Christian, Kotlinski, Danek, Lange, Clemens, Missiroli, Marino, Noehte, Lars, Rohe, Tilman, Aarrestad, Thea Klaeboe, Androsov, Konstantin, Backhaus, Malte, Berger, Pirmin, Petrov, Anton, Calandri, Alessandro, Datta, Kaustuv, De Cosa, Annapaola, Dissertori, Günther, Dittmar, Michael, Donegà, Mauro, Eble, Florian, Galli, Massimiliano, Gedia, Krunal, Glessgen, Franz, Shumka, Elton, Gómez Espinosa, Tirso Alejandro, Grab, Christoph, Hits, Dmitry, Lustermann, Werner, Lyon, Anne-mazarine, Manzoni, Riccardo Andrea, Marchese, Luigi, Martin Perez, Cristina, Mascellani, Anna, Nessi-Tedaldi, Francesca, Thakur, Shalini, Niedziela, Jeremi, Pauss, Felicitas, Perovic, Vasilije, Pigazzini, Simone, Ratti, Maria Giulia, Reichmann, Michael, Reissel, Christina, Reitenspiess, Thomas, Ristic, Branislav, Riti, Federica, Cheng, Tongguang, Ruini, Daniele, Sanz Becerra, Diego Alejandro, Steggemann, Jan, Valsecchi, Davide, Wallny, Rainer, Amsler, Claude, Bärtschi, Pascal, Botta, Cristina, Brzhechko, Danyyl, Canelli, Maria Florencia, Javaid, Tahir, Cormier, Kyle, De Wit, Adinda, Del Burgo, Riccardo, Heikkilä, Jaana Kristiina, Huwiler, Marc, Jin, Weijie, Jofrehei, Arash, Kilminster, Benjamin, Leontsinis, Stefanos, Liechti, Sascha Pascal, Mittal, Monika, Macchiolo, Anna, Meiring, Peter, Mikuni, Vinicius Massami, Molinatti, Umberto, Neutelings, Izaak, Reimers, Arne, Robmann, Peter, Sanchez Cruz, Sergio, Schweiger, Korbinian, Senger, Matias, Yuan, Li, Takahashi, Yuta, Adloff, Catherine, Kuo, Chia-Ming, Lin, Willis, Rout, Prasant Kumar, Yu, Shin-Shan, Ceard, Ludivine, Chao, Yuan, Chen, Kai-Feng, Chen, Pu-sheng, Paulitsch, Peter, Ahmad, Muhammad, Cheng, Huajie, Hou, George Wei-Shu, Khurana, Raman, Kole, Gouranga, Li, You-ying, Lu, Rong-Shyang, Paganis, Efstathios, Psallidas, Andreas, Steen, Arnaud, Wu, Hsin-yeh, Bauer, Gerry, Yazgan, Efe, Yu, Pei-rong, Asawatangtrakuldee, Chayanit, Srimanobhas, Norraphat, Agyel, Doruk, Boran, Fatma, Demiroglu, Zuhal Seyma, Dolek, Furkan, Dumanoglu, Isa, Eskut, Eda, Hu, Zhen, Guler, Yalcin, Gurpinar Guler, Emine, Isik, Candan, Kara, Ozgun, Kayis Topaksu, Aysel, Kiminsu, Ugur, Onengut, Gulsen, Ozdemir, Kadri, Polatoz, Ayse, Simsek, Ali Eren, Lezki, Samet, Tali, Bayram, Tok, Ufuk Guney, Turkcapar, Semra, Uslan, Ebru, Zorbakir, Ibrahim Soner, Karapinar, Guler, Ocalan, Kadir, Yalvac, Metin, Akgun, Bora, Atakisi, Ismail Okan, Yi, Kai, Gulmez, Erhan, Kaya, Mithat, Kaya, Ozlem, Tekten, Sevgi, Cakir, Altan, Cankocak, Kerem, Komurcu, Yildiray, Sen, Sercan, Aydilek, Orhan, Cerci, Salim, Chen, Guo-Ming, Hacisahinoglu, Burak, Hos, Ilknur, Isildak, Bora, Kaynak, Berkan, Ozkorucuklu, Suat, Simsek, Cagdas, Sunar Cerci, Deniz, Grynyov, Boris, Levchuk, Leonid, Anthony, David, Chen, He-Sheng, Bhal, Eshwen, Brooke, James John, Bundock, Aaron, Clement, Emyr, Cussans, David, Flacher, Henning, Glowacki, Maciej, Goldstein, Joel, Heath, Greg P., Heath, Helen F., Chen, Mingshui, Kreczko, Lukasz, Krikler, Benjamin, Paramesvaran, Sudarshan, Seif El Nasr-Storey, Sarah, Smith, Vincent J., Stylianou, Nicolas, Walkingshaw Pass, Katie, White, Robert, Ball, Austin, Bell, Ken W., Iemmi, Fabio, Belyaev, Alexander, Brew, Christopher, Brown, Robert M., Cockerill, David J. A., Cooke, Charlotte, Ellis, Katherine Victoria, Harder, Kristian, Harper, Sam, Holmberg, Mei-li, Jain, Shilpi, Jiang, Chun-Hua, Linacre, Jacob, Manolopoulos, Konstantinos, Newbold, Dave M., Olaiya, Emmanuel, Petyt, David, Reis, Thomas, Salvi, Giovanna, Schuh, Thomas, Shepherd-Themistocleous, Claire, Tomalin, Ian R., Pitters, Florian Michael, Kapoor, Anshul, Williams, Thomas, Bainbridge, Robert, Bloch, Philippe, Bonomally, Shameena, Borg, Johan, Brown, Christopher Edward, Buchmuller, Oliver, Cacchio, Vincenzo, Cepaitis, Vilius, Chahal, Gurpreet Singh, Kou, Hanjun, Colling, David, Dancu, Julia Suzana, Dauncey, Paul, Davies, Gavin, Davies, Joe, Della Negra, Michel, Fayer, Simon, Fedi, Giacomo, Hall, Geoffrey, Hassanshahi, Mohammad Hassan, Liao, Hongbo, Howard, Alexander, Iles, Gregory, Langford, Jonathon, Lyons, Louis, Magnan, Anne-Marie, Malik, Sarah, Martelli, Arabella, Mieskolainen, Mikael, Monk, David Gabriel, Nash, Jordan, Liu, Zhenan, Pesaresi, Mark, Radburn-Smith, Benjamin Charles, Raymond, David Mark, Richards, Alexander, Rose, Andrew, Scott, Edward, Seez, Christopher, Shukla, Raghunandan, Tapper, Alexander, Uchida, Kirika, Milosevic, Vukasin, Uttley, George Peter, Vage, Liv Helen, Virdee, Tejinder, Vojinovic, Milos, Wardle, Nicholas, Webb, Samuel Nathan, Winterbottom, Daniel, Coldham, Kathryn, Cole, Joanne, Khan, Akram, Monti, Fabio, Kyberd, Paul, Reid, Ivan, Abdullin, Salavat, Brinkerhoff, Andrew, Caraway, Bryan, Dittmann, Jay, Hatakeyama, Kenichi, Kanuganti, Ankush Reddy, McMaster, Brooks, Saunders, Mark, Sharma, Ramkrishna, Sawant, Siddhesh, Sutantawibul, Chosila, Wilson, Jonathan, Bartek, Rachel, Dominguez, Aaron, Uniyal, Rishabh, Vargas Hernandez, Andres Mateus, Cooper, Seth, Di Croce, Davide, Gleyzer, Sergei V., Tao, Junquan, Henderson, Conor, Perez, Cilicia Uzziel, Rumerio, Paolo, West, Christopher, Akpinar, Alp, Albert, Andreas, Arcaro, Daniel, Cosby, Christopher, Demiragli, Zeynep, Erice, Carlos, Thomas-Wilsker, Joshuha, Fontanesi, Elisa, Gastler, Daniel, May, Samuel, Rohlf, James, Salyer, Kaitlin, Sperka, David, Spitzbart, Daniel, Suarez, Indara, Tsatsos, Anna, Yuan, Siqi, Wang, Jin, Benelli, Gabriele, Burkle, Bjorn, Coubez, Xavier, Cutts, David, Hadley, Mary, Heintz, Ulrich, Hogan, Julie Managan, Kwon, Taeun, Landsberg, Greg, Lau, Ka Tung, Schieck, Jochen, Zhang, Huaqiao, Li, Daniel, Luo, Jingyu, Narain, Meenakshi, Pervan, Nikolas, Sagir, Sinan, Simpson, Farrah, Usai, Emanuele, Wong, Wing Yan, Yan, Xuli, Yu, David, Zhao, Jingzhou, Zhang, Wenyu, Bonilla, Johan, Brainerd, Christopher, Breedon, Richard, Calderon De La Barca Sanchez, Manuel, Chertok, Maxwell, Conway, John, Cox, Peter Timothy, Erbacher, Robin, Haza, Grace, Agapitos, Antonis, Jensen, Frank, Kukral, Ota, Mocellin, Giovanni, Mulhearn, Michael, Pellett, Dave, Regnery, Brendan, Yao, Yao, Zhang, Fengwangdong, Bachtis, Michail, Cousins, Robert, An, Ying, Datta, Abhisek, Hamilton, David, Hauser, Jay, Ignatenko, Mikhail, Iqbal, Muhammad Ansar, Lam, Tyler, Manca, Elisabetta, Nash, William Arthur, Regnard, Simon, Saltzberg, David, Ban, Yong, Stone, Brent, Valuev, Vyacheslav, Clare, Robert, Gary, J. William, Gordon, Michael, Hanson, Gail, Karapostoli, Georgia, Long, Owen Rosser, Manganelli, Nicholas, Si, Weinan, Chen, Cheng, Wimpenny, Stephen, Branson, James G., Chang, Philip, Cittolin, Sergio, Cooperstein, Stephane, Diaz, Daniel, Duarte, Javier, Gerosa, Raffaele, Giannini, Leonardo, Guiang, Jonathan, Levin, Andrew, Kansal, Raghav, Krutelyov, Vyacheslav, Lee, Robert, Letts, James, Masciovecchio, Mario, Mokhtar, Farouk, Pieri, Marco, Sathia Narayanan, Balaji Venkat, Sharma, Vivek, Tadel, Matevz, Li, Congqiao, Vourliotis, Emmanouil, Würthwein, Frank, Xiang, Yifan, Yagil, Avraham, Amin, Nick, Campagnari, Claudio, Citron, Matthew, Collura, Giulia, Dorsett, Alex, Dutta, Valentina, Li, Qiang, Incandela, Joe, Kilpatrick, Matthew, Kim, Jaebak, Li, Amina Jinzi, Masterson, Phillip, Mei, Hualin, Oshiro, Michael, Quinnan, Melissa, Richman, Jeffrey, Sarica, Ulascan, Lyu, Xudong, Schmitz, Ryan, Setti, Francesco, Sheplock, James, Siddireddy, Prasanna, Stuart, David, Wang, Sicheng, Bornheim, Adolf, Cerri, Olmo, Dutta, Irene, Latorre, Anthony, Schöfbeck, Robert, Mao, Yajun, Lawhorn, Jay Mathew, Lu, Nan, Mao, Jiajing, Newman, Harvey B., Nguyen, Thong, Spiropulu, Maria, Vlimant, Jean-Roch, Wang, Christina, Xie, Si, Zhu, Ren-Yuan, Qian, Si-Jin, Alison, John, An, Sitong, Andrews, Michael Benjamin, Bryant, Patrick, Ferguson, Thomas, Harilal, Abhirami, Liu, Chuyuan, Mudholkar, Tanmay, Murthy, Sindhu, Paulini, Manfred, Sun, Xiaohu, Roberts, Andrew, Sanchez, Alejandro, Terrill, Wesley, Cumalat, John Perry, Ford, William T., Hassani, Abbas, Karathanasis, George, MacDonald, Emily, Marini, Filippo, Perloff, Alexx, Wang, Dayong, Savard, Claire, Schonbeck, Nicolas, Stenson, Kevin, Ulmer, Keith, Wagner, Stephen Robert, Zipper, Noah, Alexander, James, Bright-Thonney, Samuel, Chen, Xuan, Cranshaw, Derek James, Xiao, Jie, Fan, Jason, Fan, Xingchen, Gadkari, Divya, Hogan, Shaun, Monroy, Jose, Patterson, Juliet Ritchie, Quach, Dan, Reichert, Joseph, Reid, Michael, Ryd, Anders, Yang, Heng, Thom, Julia, Wittich, Peter, Zou, Rui, Albrow, Michael, Alyari, Maral, Apollinari, Giorgio, Apresyan, Artur, Bauerdick, Lothar A. T., Berry, Douglas, Berryhill, Jeffrey, Lu, Meng, Bhat, Pushpalatha C., Burkett, Kevin, Butler, Joel Nathan, Canepa, Anadi, Cerati, Giuseppe Benedetto, Cheung, Harry, Chlebana, Frank, Di Petrillo, Karri Folan, Dickinson, Jennet, Elvira, Victor Daniel, You, Zhengyun, Feng, Yongbin, Freeman, Jim, Gandrakota, Abhijith, Gecse, Zoltan, Gray, Lindsey, Green, Dan, Grünendahl, Stefan, Guerrero, Daniel, Gutsche, Oliver, Harris, Robert M., Gao, Xuyang, Heller, Ryan, Herwig, Theodor Christian, Hirschauer, James, Horyn, Lesya, Jayatilaka, Bodhitha, Jindariani, Sergo, Johnson, Marvin, Joshi, Umesh, Klijnsma, Thomas, Klima, Boaz, Leggat, Duncan, Kwok, Ka Hei Martin, Lammel, Stephan, Lincoln, Don, Lipton, Ron, Liu, Tiehui, Madrid, Christopher, Maeshima, Kaori, Mantilla, Cristina, Mason, David, McBride, Patricia, Schwarz, Dennis, Okawa, Hideki, Merkel, Petra, Mrenna, Stephen, Nahn, Steve, Ngadiuba, Jennifer, Noonan, Daniel, Papadimitriou, Vaia, Pastika, Nathaniel, Pedro, Kevin, Pena, Cristian, Ravera, Fabio, Zhang, Yu, Reinsvold Hall, Allison, Ristori, Luciano, Sexton-Kennedy, Elizabeth, Smith, Nicholas, Soha, Aron, Spiegel, Leonard, Strait, James, Taylor, Lucas, Tkaczyk, Slawek, Tran, Nhan Viet, Lin, Zhen, Uplegger, Lorenzo, Vaandering, Eric Wayne, Zoi, Irene, Avery, Paul, Bourilkov, Dimitri, Cadamuro, Luca, Cherepanov, Vladimir, Field, Richard D., Kim, Mugeon, Koenig, Evan, Lu, Chenfeng, Konigsberg, Jacobo, Korytov, Andrey, Kuznetsova, Ekaterina, Lo, Kin Ho, Matchev, Konstantin, Menendez, Nicholas, Mitselmakher, Guenakh, Muthirakalayil Madhu, Arun, Rawal, Neha, Rosenzweig, Daniel, Xiao, Meng, Rosenzweig, Suzanne, Shi, Kun, Wang, Jian, Wu, Zhenbin, Adams, Todd, Askew, Andrew, Habibullah, Redwan, Hagopian, Vasken, Kolberg, Ted, Martinez, German, Avila, Carlos, Prosper, Harrison, Viazlo, Oleksandr, Wulansatiti, Meutia, Yohay, Rachel, Zhang, Jingyu, Baarmand, Marc M., Butalla, Stephen, Elkafrawy, Tamer, Hohlmann, Marcus, Kumar Verma, Ravindra, Barbosa Trujillo, Diego Andres, Rahmani, Mehdi, Yumiceva, Francisco, Adams, Mark Raymond, Becerril Gonzalez, Hugo, Cavanaugh, Richard, Dittmer, Susan, Evdokimov, Olga, Gerber, Cecilia Elena, Hofman, David Jonathan, De Souza Lemos, Dener, Cabrera, Andrés, Merritt, Anna Henckel, Mills, Corrinne, Nandu, Shirsendu, Oh, Geonhee, Roy, Titas, Rudrabhatla, Sahithi, Tonjes, Marguerite, Varelas, Nikos, Wang, Xiao, Ye, Zhenyu, Florez, Carlos, Yoo, Jieun, Alhusseini, Mohammad, Dilsiz, Kamuran, Emediato, Luiz, Gandrajula, Reddy Pratap, Karaman, Gurkan, Köseyan, Ohannes Kamer, Merlo, Jean-Pierre, Mestvirishvili, Alexi, Nachtman, Jane, Fraga, Jorge, Neogi, Orgho, Ogul, Hasan, Onel, Yasar, Penzo, Aldo, Snyder, Christina, Tiras, Emrah, Amram, Oz, Blumenfeld, Barry, Corcodilos, Lucas, Davis, Jeffrey, Sonawane, Mangesh, Mejia Guisao, Jhovanny, Gritsan, Andrei, Kyriacou, Savvas, Maksimovic, Petar, Roskes, Jeffrey, Sekhar, Sanjana, Swartz, Morris, Vámi, Tamás Álmos, Abreu, Andrés, Alcerro Alcerro, Luis Fernando, Anguiano, Justin, Ramirez, Felipe, Baringer, Philip, Bean, Alice, Flowers, Zachary, Isidori, Tommaso, King, Jack, Krintiras, Georgios, Lazarovits, Margaret, Le Mahieu, Cole, Lindsey, Cole, Marquez, Juan, Rodriguez, Manuel, Minafra, Nicola, Murray, Michael, Nickel, Matthew, Rogan, Christopher, Royon, Christophe, Salvatico, Riccardo, Sanders, Stephen, Smith, Caleb, Wang, Quan, Williams, Justin, Ruiz Alvarez, José David, Wilson, Graham, Allmond, Braden, Duric, Senka, Ivanov, Andrew, Kaadze, Ketino, Kim, Doyeong, Maravin, Yurii, Mitchell, Tyler, Modak, Atanu, Nam, Kyungwook, Giljanovic, Duje, Roy, Dennis, Rebassoo, Finn, Wright, Douglas, Adams, Eric, Baden, Drew, Baron, Owen, Belloni, Alberto, Bethani, Agni, Eno, Sarah Catherine, Hadley, Nicholas John, Godinovic, Nikola, Jabeen, Shabnam, Kellogg, Richard G., Koeth, Timothy, Lai, Yihui, Lascio, Samuel, Mignerey, Alice, Nabili, Sara, Palmer, Christopher, Papageorgakis, Christos, Wang, Long, Lelas, Damir, Wong, Kak, Abercrombie, Daniel, Busza, Wit, Cali, Ivan Amos, Chen, Yi, D'Alfonso, Mariarosaria, Eysermans, Jan, Freer, Chad, Gomez Ceballos, Guillelmo, Goncharov, Maxim, Puljak, Ivica, Harris, Philip, Hu, Miao, Kovalskyi, Dmytro, Krupa, Jeffrey, Lee, Yen-Jie, Long, Kenneth, Mironov, Camelia, Paus, Christoph, Rankin, Dylan, Roland, Christof, Antunovic, Zeljko, Roland, Gunther, Shi, Zhaozhong, Stephans, George, Wang, Jing, Wang, Zhangqier, Wyslouch, Bolek, Yang, Tianyu, Chatterjee, Rajdeep Mohan, Crossman, Bryan, Evans, Andrew, Kovac, Marko, Hiltbrand, Joshua, Joshi, Bhargav Madhusudan, Kapsiak, Charles, Krohn, Michael, Kubota, Yuichi, Mans, Jeremy, Revering, Michael, Rusack, Roger, Saradhy, Rohith, Schroeder, Neil, Andrejkovic, Janik Walter, Templ, Sebastian, Sculac, Toni, Strobbe, Nadja, Wadud, Mohammad Abrar, Cremaldi, Lucien Marcus, Bloom, Kenneth, Bryson, Miranda, Claes, Daniel R., Fangmeier, Caleb, Finco, Linda, Golf, Frank, Joo, Changwoo, Brigljevic, Vuko, Kamalieddin, Rami, Kravchenko, Ilya, Reed, Ian, Siado, Joaquin Emilo, Snow, Gregory R., Tabb, William, Wightman, Andrew, Yan, Furong, Zecchinelli, Angelo Giacomo, Agarwal, Garvita, Chitroda, Bhakti Kanulal, Bandyopadhyay, Hirak, Hay, Lauren, Iashvili, Ia, Kharchilava, Avto, McLean, Christine, Morris, Margaret, Nguyen, Duong, Pekkanen, Juska, Rappoccio, Salvatore, Williams, Ac, Ferencek, Dinko, Alverson, George, Barberis, Emanuela, Haddad, Yacine, Han, Yixiao, Krishna, Amrutha, Li, Jingyan, Lidrych, Jindrich, Madigan, Gabriel, Marzocchi, Badder, Morse, David Michael, Mishra, Saswat, Nguyen, Vivan, Orimoto, Toyoko, Parker, Ashley, Skinnari, Louise, Tishelman-Charny, Abraham, Wamorkar, Tanvi, Wang, Bingran, Wisecarver, Andrew, Wood, Darien, Bhattacharya, Saptaparna, Roguljic, Matej, Bueghly, James, Chen, Ziheng, Gilbert, Andrew, Hahn, Kristan Allan, Liu, Yihan, Odell, Nathaniel, Schmitt, Michael Henry, Velasco, Mayda, Band, Reyer, Bucci, Rachael, Starodumov, Andrei, Cremonesi, Matteo, Das, Abhishek, Goldouzian, Reza, Hildreth, Michael, Hurtado Anampa, Kenyi, Jessop, Colin, Lannon, 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Laha, Arnab, Pandey, Shubham, Rastogi, Angira, Sharma, Seema, Bakhshiansohi, Hamed, Khazaie, Elham, Zeinali, Maryam, Chenarani, Shirin, Bury, Florian Joel J., Etesami, Seyed Mohsen, Khakzad, Mohsen, Mohammadi Najafabadi, Mojtaba, Grunewald, Martin, Abbrescia, Marcello, Aly, Reham, Aruta, Caterina, Colaleo, Anna, Creanza, Donato, De Filippis, Nicola, Caputo, Claudio, De Palma, Mauro, Di Florio, Adriano, Elmetenawee, Walaa, Errico, Filippo, Fiore, Luigi, Iaselli, Giuseppe, Ince, Merve, Maggi, Giorgio, Maggi, Marcello, Margjeka, Ilirjan, David, Pieter, Mastrapasqua, Vincenzo, My, Salvatore, Nuzzo, Salvatore, Pellecchia, Antonello, Pompili, Alexis, Pugliese, Gabriella, Radogna, Raffaella, Ramos, Dayron, Ranieri, Antonio, Selvaggi, Giovanna, Delaere, Christophe, Silvestris, Lucia, Simone, Federica Maria, Sözbilir, Ümit, Stamerra, Anna, Venditti, Rosamaria, Verwilligen, Piet, Abbiendi, Giovanni, Battilana, Carlo, Bonacorsi, Daniele, Borgonovi, Lisa, Donertas, Izzeddin Suat, Brigliadori, Luca, Campanini, Renato, Capiluppi, Paolo, Castro, Andrea, Cavallo, Francesca Romana, Cuffiani, Marco, Dallavalle, Gaetano-Marco, Diotalevi, Tommaso, Fabbri, Fabrizio, Fanfani, Alessandra, Giammanco, Andrea, Giacomelli, Paolo, Giommi, Luca, Grandi, Claudio, Guiducci, Luigi, Lo Meo, Sergio, Lunerti, Leonardo, Marcellini, Stefano, Masetti, Gianni, Navarria, Francesco, Perrotta, Andrea, Jaffel, Khawla, Primavera, Federica, Rossi, Antonio, Rovelli, Tiziano, Siroli, Gian Piero, Costa, Salvatore, Di Mattia, Alessandro, Potenza, Renato, Tricomi, Alessia, Tuve, Cristina, Barbagli, Giuseppe, Jain, Sandhya, Bardelli, Giulio, Camaiani, Benedetta, Cassese, Antonio, Ceccarelli, Rudy, Ciulli, Vitaliano, Civinini, Carlo, D'Alessandro, Raffaello, Focardi, Ettore, Latino, Giuseppe, Lenzi, Piergiulio, Hussain, Priya Sajid, Lemaitre, Vincent, Lizzo, Mattia, Meschini, Marco, Paoletti, Simone, Seidita, Roberto, Sguazzoni, Giacomo, Viliani, Lorenzo, Benussi, Luigi, Bianco, Stefano, Meola, Sabino, Piccolo, Davide, Mondal, Kuntal, Bozzo, Marco, Chatagnon, Pierre, Ferro, Fabrizio, Mulargia, Roberto, Robutti, Enrico, Tosi, Silvano, Benaglia, Andrea, Boldrini, Giacomo, Brivio, Francesco, Cetorelli, Flavia, Taliercio, Angela, De Guio, Federico, Dinardo, Mauro Emanuele, Dini, Paolo, Gennai, Simone, Ghezzi, Alessio, Govoni, Pietro, Guzzi, Luca, Lucchini, Marco Toliman, Malberti, Martina, Malvezzi, Sandra, Tran, Tu Thong, Massironi, Andrea, Menasce, Dario, Moroni, Luigi, Paganoni, Marco, Pedrini, Daniele, Pinolini, Bianca Sofia, Ragazzi, Stefano, Redaelli, Nicola, Tabarelli de Fatis, Tommaso, Zuolo, Davide, Vischia, Pietro, Buontempo, Salvatore, Carnevali, Francesco, Cavallo, Nicola, De Iorio, Agostino, Fabozzi, Francesco, Iorio, Alberto Orso Maria, Lista, Luca, Paolucci, Pierluigi, Rossi, Biagio, Sciacca, Crisostomo, Wertz, Sébastien, Azzi, Patrizia, Bisello, Dario, Bortignon, Pierluigi, Bragagnolo, Alberto, Carlin, Roberto, Checchia, Paolo, Dorigo, Tommaso, Gasparini, Fabrizio, Gasparini, Ugo, Gozzelino, Andrea, Alves, Gilvan, Grosso, Gaia, Layer, Lukas, Lusiani, Enrico, Margoni, Martino, Meneguzzo, Anna Teresa, Pazzini, Jacopo, Ronchese, Paolo, Rossin, Roberto, Simonetto, Franco, Strong, Giles, Coelho, Eduardo, Tosi, Mia, Yarar, Hevjin, Zanetti, Marco, Zotto, Pierluigi, Zucchetta, Alberto, Zumerle, Gianni, Abu Zeid, Shimaa, Aimè, Chiara, Braghieri, Alessandro, Calzaferri, Simone, Hensel, Carsten, Fiorina, Davide, Montagna, Paolo, Re, Valerio, Riccardi, Cristina, Salvini, Paola, Vai, Ilaria, Vitulo, Paolo, Asenov, Patrick, Bilei, Gian Mario, Ciangottini, Diego, Moraes, Arthur, Fanò, Livio, Magherini, Matteo, Mantovani, Giancarlo, Mariani, Valentina, Menichelli, Mauro, Moscatelli, Francesco, Piccinelli, Andrea, Presilla, Matteo, Rossi, Alessandro, Santocchia, Attilio, Jeitler, Manfred, Rebello Teles, Patricia, Spiga, Daniele, Tedeschi, Tommaso, Azzurri, Paolo, Bagliesi, Giuseppe, Bertacchi, Valerio, Bhattacharya, Rajarshi, Bianchini, Lorenzo, Boccali, Tommaso, Bossini, Edoardo, Bruschini, Davide, Aldá Júnior, Walter Luiz, Castaldi, Rino, Ciocci, Maria Agnese, D'Amante, Valeria, Dell'Orso, Roberto, Di Domenico, Maria Rosaria, Donato, Silvio, Giassi, Alessandro, Ligabue, Franco, Mandorli, Giulio, Matos Figueiredo, Diego, Alves Gallo Pereira, Miguel, Messineo, Alberto, Musich, Marco, Palla, Fabrizio, Parolia, Shubhi, Ramirez-Sanchez, Gabriel, Rizzi, Andrea, Rolandi, Gigi, Roy Chowdhury, Suvankar, Sarkar, Tanmay, Scribano, Angelo, Barroso Ferreira Filho, Mapse, Shafiei, Negin, Spagnolo, Paolo, Tenchini, Roberto, Tonelli, Guido, Turini, Nicola, Venturi, Andrea, Verdini, Piero Giorgio, Barria, Patrizia, Campana, Mattia, Cavallari, Francesca, Brandao Malbouisson, Helena, Del Re, Daniele, Di Marco, Emanuele, Diemoz, Marcella, Longo, Egidio, Meridiani, Paolo, Organtini, Giovanni, Pandolfi, Francesco, Paramatti, Riccardo, Quaranta, Claudio, Rahatlou, Shahram, Carvalho, Wagner, Rovelli, Chiara, Santanastasio, Francesco, Soffi, Livia, Tramontano, Raffaella, Amapane, Nicola, Arcidiacono, Roberta, Argiro, Stefano, Arneodo, Michele, Bartosik, Nazar, Bellan, Riccardo, Chinellato, Jose, Bellora, Andrea, Biino, Cristina, Cartiglia, Nicolo, Costa, Marco, Covarelli, Roberto, Demaria, Natale, Grippo, Michael, Kiani, Bilal, Legger, Federica, Mariotti, Chiara, Da Costa, Eliza Melo, Maselli, Silvia, Mecca, Alberto, Migliore, Ernesto, Monteil, Ennio, Monteno, Marco, Obertino, Maria Margherita, Ortona, Giacomo, Pacher, Luca, Pastrone, Nadia, Pelliccioni, Mario, Da Silveira, Gustavo Gil, Ruspa, Marta, Shchelina, Ksenia, Siviero, Federico, Sola, Valentina, Solano, Ada, Soldi, Dario, Staiano, Amedeo, Tornago, Marta, Trocino, Daniele, Umoret, Giulio, De Jesus Damiao, Dilson, Vagnerini, Antonio, Belforte, Stefano, Candelise, Vieri, Casarsa, Massimo, Cossutti, Fabio, Da Rold, Alessandro, Della Ricca, Giuseppe, Sorrentino, Giulia, Dogra, Sunil, Huh, Changgi, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), and CMS
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charmonium ,CMS ,heavy ion, scattering ,FOS: Physical sciences ,High Energy Physics - Experiment ,High Energy Physics - Experiment (hep-ex) ,meson, transverse momentum ,dimuon, decay ,angular distribution, anisotropy ,parton, energy loss ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,quark gluon, plasma ,TeV ,heavy quark ,nucleon, pair - Abstract
The second-order ($v_2$) and third-order ($v_3$) Fourier coefficients describing the azimuthal anisotropy of prompt and nonprompt (from b-hadron decays) J/$\psi$, as well as prompt $\psi$(2S) mesons are measured in lead-lead collisions at a center-of-mass energy per nucleon pair of $\sqrt{s_\mathrm{NN}}$ = 5.02 TeV. The analysis uses a data set corresponding to an integrated luminosity of 1.61 nb$^{-1}$ recorded with the CMS detector. The J/$\psi$ and $\psi$(2S) mesons are reconstructed using their dimuon decay channel. The $v_2$ and $v_3$ coefficients are extracted using the scalar product method and studied as functions of meson transverse momentum and collision centrality. The measured $v_2$ values for prompt J/$\psi$ mesons are found to be larger than those for nonprompt J/$\psi$ mesons. The prompt J/$\psi$ $v_2$ values at high $p_\mathrm{T}$ are found to be underpredicted by a model incorporating only parton energy loss effects in a quark-gluon plasma medium. Prompt and nonprompt J/$\psi$ meson $v_3$ and prompt $\psi$(2S) $v_2$ and $v_3$ values are also reported for the first time, providing new information about heavy quark interactions in the hot and dense medium created in heavy ion collisions., Comment: Submitted to the Journal of High Energy Physics. All figures and tables can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/HIN-21-008 (CMS Public Pages)
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- 2023
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49. Risk Identification of Building Construction Projects in Egypt
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Yousri, Elhosin, primary, Sayed, Ahmed El Badawy, additional, Farag, Moataz A. M., additional, and Abdelalim, Ahmed Mohammed, additional
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- 2023
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50. Global, regional, and national burden of low back pain, 1990–2020, its attributable risk factors, and projections to 2050:a systematic analysis of the Global Burden of Disease Study 2021
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Ferreira, Manuela L., de Luca, Katie, Haile, Lydia M., Steinmetz, Jaimie D., Culbreth, Garland T., Cross, Marita, Kopec, Jacek A., Ferreira, Paulo H., Blyth, Fiona M., Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai Min, Safiri, Saeid, Woolf, Anthony D., Collins, Gary S., Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E., Cruz, Jessica A., Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Charalampous, Periklis, Yang, Lin, Ferreira, Manuela L., de Luca, Katie, Haile, Lydia M., Steinmetz, Jaimie D., Culbreth, Garland T., Cross, Marita, Kopec, Jacek A., Ferreira, Paulo H., Blyth, Fiona M., Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai Min, Safiri, Saeid, Woolf, Anthony D., Collins, Gary S., Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E., Cruz, Jessica A., Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali, Akinyemi, Rufus Olusola, Alamer, Abayneh Tadesse, Alem, Adugnaw Zeleke, Alimohamadi, Yousef, Alshehri, Mansour Abdullah, Alshehri, Mohammed Mansour, Alzahrani, Hosam, Amini, Saeed, Amiri, Sohrab, Amu, Hubert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Benny, Arabloo, Jalal, Arulappan, Judie, Arumugam, Ashokan, Ashraf, Tahira, Athari, Seyyed Shamsadin, Awoke, Nefsu, Charalampous, Periklis, and Yang, Lin
- Abstract
Background: Low back pain is highly prevalent and the main cause of years lived with disability (YLDs). We present the most up-to-date global, regional, and national data on prevalence and YLDs for low back pain from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021. Methods: Population-based studies from 1980 to 2019 identified in a systematic review, international surveys, US medical claims data, and dataset contributions by collaborators were used to estimate the prevalence and YLDs for low back pain from 1990 to 2020, for 204 countries and territories. Low back pain was defined as pain between the 12th ribs and the gluteal folds that lasted a day or more; input data using alternative definitions were adjusted in a network meta-regression analysis. Nested Bayesian meta-regression models were used to estimate prevalence and YLDs by age, sex, year, and location. Prevalence was projected to 2050 by running a regression on prevalence rates using Socio-demographic Index as a predictor, then multiplying them by projected population estimates. Findings: In 2020, low back pain affected 619 million (95% uncertainty interval 554–694) people globally, with a projection of 843 million (759–933) prevalent cases by 2050. In 2020, the global age-standardised rate of YLDs was 832 per 100 000 (578–1070). Between 1990 and 2020, age-standardised rates of prevalence and YLDs decreased by 10·4% (10·9–10·0) and 10·5% (11·1–10·0), respectively. A total of 38·8% (28·7–47·0) of YLDs were attributed to occupational factors, smoking, and high BMI. Interpretation: Low back pain remains the leading cause of YLDs globally, and in 2020, there were more than half a billion prevalent cases of low back pain worldwide. While age-standardised rates have decreased modestly over the past three decades, it is projected that globally in 2050, more than 800 million people will have low back pain. Challenges persist in obtaining primary country-level data on low back pain, and there
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- 2023
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