685 results on '"Ansari, Hossein"'
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2. Effectiveness of the application of an educational program based on the Theory of Planned Behavior (TPB) in adopting preventive behaviors among mothers who have thalassemia children in Iran: a randomized controlled trial
- Author
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Zareban, Iraj, Oudi-Akbari, Zahra, Jadgal, Mohammad Saeed, Ansari, Hossein, and Hosseinzehi Zamani, Jamshid
- Published
- 2024
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3. Estimation of water balance components by Noah-MP land surface model for the Neyshaboor watershed, Khorasan Razavi, Iran
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Mirshafee, Samira, Ansari, Hossein, Davary, Kamran, Ziaei, Ali-Naghi, Faridhosseini, Alireza, and Choi, Yong-Sang
- Published
- 2024
- Full Text
- View/download PDF
4. The prevalence of seat belt use among drivers and passengers: a systematic review and meta-analysis
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Kargar, Shiva, Ansari-Moghaddam, Alireza, and Ansari, Hossein
- Published
- 2023
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5. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Ferrari, Alize J, Santomauro, Damian Francesco, Aali, Amirali, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdollahi, Arash, Abdullahi, Auwal, Abegaz, Kedir Hussein, Abeldaño Zuñiga, Roberto Ariel, Aboagye, Richard Gyan, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abualruz, Hasan, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Ackerman, Ilana N, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adepoju, Abiola Victor, Adewuyi, Habeeb Omoponle, Afyouni, Shadi, Afzal, Saira, Afzal, Sina, Agodi, Antonella, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Shahzaib, Ahmed, Ali, Ahmed, Luai A, Ahmed, Muktar Beshir, Ajami, Marjan, Akinosoglou, Karolina, Akkaif, Mohammed Ahmed, Al Hasan, Syed Mahfuz, Alalalmeh, Samer O, Al-Aly, Ziyad, Albashtawy, Mohammed, Aldridge, Robert W, Alemu, Meseret Desalegn, Alemu, Yihun Mulugeta, Alene, Kefyalew Addis, Al-Gheethi, Adel Ali Saeed, Alharrasi, Maryam, Alhassan, Robert Kaba, Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait Shujait, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Al-Marwani, Sabah, Almazan, Joseph Uy, Alomari, Mahmoud A, Al-Omari, Basem, Altaany, Zaid, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Alwafi, Hassan, Al-Wardat, Mohammad Sami, Al-Worafi, Yaser Mohammed, Aly, Safwat, Alzoubi, Karem H, Amare, Azmeraw T, Amegbor, Prince M, Ameyaw, Edward Kwabena, Amin, Tarek Tawfik, Amindarolzarbi, Alireza, Amiri, Sohrab, Amugsi, Dickson A, Ancuceanu, Robert, Anderlini, Deanna, Anderson, David B, Andrade, Pedro Prata, Andrei, Catalina Liliana, Ansari, Hossein, Antony, Catherine M, Anwar, Saleha, Anwar, Sumadi Lukman, Anwer, Razique, Anyanwu, Philip Emeka, Arab, Juan Pablo, Arabloo, Jalal, Arafat, Mosab, Araki, Daniel T, Aravkin, Aleksandr Y, Arkew, Mesay, Armocida, Benedetta, Arndt, Michael Benjamin, Arooj, Mahwish, Artamonov, Anton A, Aruleba, Raphael Taiwo, Arumugam, Ashokan, Ashbaugh, Charlie, Ashemo, Mubarek Yesse, Ashraf, Muhammad, Asika, Marvellous O, Askari, Elaheh, Astell-Burt, Thomas, Athari, Seyyed Shamsadin, Atorkey, Prince, Atout, Maha Moh'd Wahbi, Atreya, Alok, Aujayeb, Avinash, Ausloos, Marcel, Avan, Abolfazl, Awotidebe, Adedapo Wasiu, Awuviry-Newton, Kofi, Ayala Quintanilla, Beatriz Paulina, Ayuso-Mateos, Jose L, Azadnajafabad, Sina, Azevedo, Rui M S, Babu, Abraham Samuel, Badar, Muhammad, Badiye, Ashish D, Baghdadi, Soroush, Bagheri, Nasser, Bah, Sulaiman, Bai, Ruhai, Baker, Jennifer L, Bakkannavar, Shankar M, Bako, Abdulaziz T, Balakrishnan, Senthilkumar, Bam, Kiran, Banik, Palash Chandra, Barchitta, Martina, Bardhan, Mainak, Bardideh, Erfan, Barker-Collo, Suzanne Lyn, Barqawi, Hiba Jawdat, Barrow, Amadou, Barteit, Sandra, Barua, Lingkan, Bashiri Aliabadi, Somaye, Basiru, Afisu, Basu, Sanjay, Basu, Saurav, Bathini, Prapthi Persis, Batra, Kavita, Baune, Bernhard T, Bayileyegn, Nebiyou Simegnew, Behnam, Babak, Behnoush, Amir Hossein, Beiranvand, Maryam, Bejarano Ramirez, Diana Fernanda, Bell, Michelle L, Bello, Olorunjuwon Omolaja, Beloukas, Apostolos, Bensenor, Isabela M, Berezvai, Zombor, Bernabe, Eduardo, Bernstein, Robert S, Bettencourt, Paulo J G, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Dinesh, Bhargava, Ashish, Bhaskar, Sonu, Bhat, Vivek, Bhatti, Gurjit Kaur, Bhatti, Jasvinder Singh, Bhatti, Manpreet S, Bhatti, Rajbir, Bhutta, Zulfiqar A, Bikbov, Boris, Bishai, Jessica Devin, Bisignano, Catherine, Bitra, Veera R, Bjørge, Tone, Bodolica, Virginia, Bodunrin, Aadam Olalekan, Bogale, Eyob Ketema, Bonakdar Hashemi, Milad, Bonny, Aime, Bora Basara, Berrak, Borhany, Hamed, Boxe, Christopher, Brady, Oliver J, Bragazzi, Nicola Luigi, Braithwaite, Dejana, Brant, Luisa C, Brauer, Michael, Breitner, Susanne, Brenner, Hermann, Brown, Julie, Brugha, Traolach, Bulamu, Norma B, Buonsenso, Danilo, Burkart, Katrin, Burns, Richard A, Busse, Reinhard, Bustanji, Yasser, Butt, Zahid A, Byun, Justin, Caetano dos Santos, Florentino Luciano, Calina, 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Paulo H, Fischer, Florian, Flavel, Joanne, Flood, David, Flor, Luisa S, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Force, Lisa M, Fortuna, Daniela, Foschi, Matteo, Franklin, Richard Charles, Freitas, Alberto, Fukumoto, Takeshi, Furtado, João M, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Gaihre, Santosh, Galali, Yaseen, Ganbat, Mandukhai, Gandhi, Aravind P, Ganesan, Balasankar, Ganie, Mohd Ashraf, Ganiyani, Mohammad Arfat, Gardner, William M, Gebi, Tilaye Gebru, Gebregergis, Miglas W, Gebrehiwot, Mesfin, Gebremariam, Tesfay B B, Gebremeskel, Teferi Gebru, Gela, Yibeltal Yismaw, Georgescu, Simona Roxana, Getachew Obsa, Abera, Gething, Peter W, Getie, Molla, Ghadiri, Keyghobad, Ghadirian, Fataneh, Ghailan, Khalid Yaser, Ghajar, Alireza, Ghasemi, MohammadReza, Ghasempour Dabaghi, Ghazal, Ghasemzadeh, Afsaneh, Ghazy, Ramy Mohamed, Gholamrezanezhad, Ali, Ghorbani, Mahsa, Ghotbi, Elena, Gibson, Ruth Margaret, Gill, Tiffany K, Ginindza, Themba G, Girmay, Alem, Glasbey, James C, Göbölös, Laszlo, Godinho, Myron Anthony, Goharinezhad, Salime, Goldust, Mohamad, Golechha, Mahaveer, Goleij, Pouya, Gona, Philimon N, Gorini, Giuseppe, Goulart, Alessandra C, Grada, Ayman, Grivna, Michal, Guan, Shi-Yang, Guarducci, Giovanni, Gubari, Mohammed Ibrahim Mohialdeen, Gudeta, Mesay Dechasa, Guha, Avirup, Guicciardi, Stefano, Gulati, Snigdha, Gulisashvili, David, Gunawardane, Damitha Asanga, Guo, Cui, Gupta, Anish Kumar, Gupta, Bhawna, Gupta, Ishita, Gupta, Mohak, Gupta, Rajeev, Gupta, Veer Bala, Gupta, Vijai Kumar, Gupta, Vivek Kumar, Gutiérrez, Reyna Alma, Habibzadeh, Farrokh, Habibzadeh, Parham, Haddadi, Rasool, Hadi, Najah R, Haep, Nils, Hafezi-Nejad, Nima, Hafiz, Abdul, Hagins, Hailey, Halboub, Esam S, Halimi, Aram, Haller, Sebastian, Halwani, Rabih, Hamilton, Erin B, Hankey, Graeme J, Hannan, Md Abdul, Haque, Md Nuruzzaman, Harapan, Harapan, Haro, Josep Maria, Hartvigsen, Jan, Hasaballah, Ahmed I, Hasan, Ikramul, Hasanian, Mohammad, Hasnain, Md Saquib, Hassan, Amr, Haubold, Johannes, Havmoeller, Rasmus J, Hay, Simon I, Hayat, Khezar, Hebert, Jeffrey J, Hegazi, Omar E, Heidari, Golnaz, Helfer, Bartosz, Hemmati, Mehdi, Hendrie, Delia, Henson, Claire A, Hezam, Kamal, Hiraike, Yuta, Hoan, Nguyen Quoc, Holla, Ramesh, Hon, Julia, Hossain, Md Mahbub, Hosseinzadeh, Hassan, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hsu, Johnathan M, Huang, Junjie, Hugo, Fernando N, Hushmandi, Kiavash, Hussain, Javid, Hussein, Nawfal R, Huynh, Chantal K, Huynh, Hong-Han, Hwang, Bing-Fang, Iannucci, Vincent C, Ihler, Audrey L, Ikiroma, Adalia I, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Irham, Lalu Muhammad, Islam, Md Rabiul, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Ismail, Faisal, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, Iwu, Chidozie C D, Iyer, Mahalaxmi, Jaafari, Jalil, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Jafarinia, Morteza, Jaggi, 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Keller, Cathleen, Kempen, John H, Kerr, Jessica A, Keshtkar, Kamyab, Kesse-Guyot, Emmanuelle, Keykhaei, Mohammad, Khajuria, Himanshu, Khalaji, Amirmohammad, Khalid, Asaad, Khalid, Nauman, Khalilian, Alireza, Khamesipour, Faham, Khan, Asaduzzaman, Khan, Ikramullah, Khan, Maseer, Khan, Moien AB, Khanmohammadi, Shaghayegh, Khatab, Khaled, Khatami, Fatemeh, Khatatbeh, Moawiah Mohammad, Khater, Amir M, Khayat Kashani, Hamid Reza, Khidri, Feriha Fatima, Khodadoust, Elaheh, Khormali, Moein, Khorrami, Zahra, Kifle, Zemene Demelash, Kim, Min Seo, Kimokoti, Ruth W, Kisa, Adnan, Kisa, Sezer, Knudsen, Ann Kristin Skrindo, Kocarnik, Jonathan M, Kochhar, Sonali, Koh, Hyun Yong, Kolahi, Ali-Asghar, Kompani, Farzad, Koren, Gerbrand, Korzh, Oleksii, Kosen, Soewarta, Koulmane Laxminarayana, Sindhura Lakshmi, Krishan, Kewal, Krishna, Varun, Krishnamoorthy, Vijay, Kuate Defo, Barthelemy, Kuddus, Md Abdul, Kuddus, Mohammed, Kuitunen, Ilari, Kulkarni, Vishnutheertha, Kumar, Manasi, Kumar, Nithin, Kumar, Rakesh, Kurmi, Om P, Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Ladan, Muhammad Awwal, Laflamme, Lucie, Lafranconi, Alessandra, Lahariya, Chandrakant, Lai, Daphne Teck Ching, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lallukka, Tea, Lám, Judit, Lan, Qing, Lan, Tuo, Landires, Iván, Lanfranchi, Francesco, Langguth, Berthold, Laplante-Lévesque, Ariane, Larijani, Bagher, Larsson, Anders O, Lasrado, Savita, Lauriola, Paolo, Le, Huu-Hoai, Le, Long Khanh Dao, Le, Nhi Huu Hanh, Le, Trang Diep Thanh, Leasher, Janet L, Ledda, Caterina, Lee, Munjae, Lee, Paul H, Lee, Sang-woong, Lee, Seung Won, Lee, Wei-Chen, Lee, Yo Han, LeGrand, Kate E, Lenzi, Jacopo, Leong, Elvynna, Leung, Janni, Li, Ming-Chieh, Li, Wei, Li, Xiaopan, Li, Yichong, Li, Yongze, Lim, Lee-Ling, Lim, Stephen S, Lindstrom, Megan, Linn, Shai, Liu, Gang, Liu, Runben, Liu, Shiwei, Liu, Wei, Liu, Xiaofeng, Liu, Xuefeng, Llanaj, Erand, Lo, Chun-Han, López-Bueno, Rubén, Loreche, Arianna Maever, Lorenzovici, László, Lozano, Rafael, Lubinda, Jailos, Lucchetti, Giancarlo, Lunevicius, Raimundas, Lusk, Jay B, lv, hengliang, Ma, Zheng Feei, Machairas, Nikolaos, Madureira-Carvalho, Áurea M, Magaña Gómez, Javier A, Maghazachi, Azzam A, Maharjan, Preeti, Mahasha, Phetole Walter, Maheri, Mina, Mahjoub, Soleiman, Mahmoud, Mansour Adam, Mahmoudi, Elham, Majeed, Azeem, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malhotra, Kashish, Malik, Ahmad Azam, Malik, Iram, Malta, Deborah Carvalho, Manla, Yosef, Mansour, Ali, Mansouri, Pejman, Mansournia, Mohammad Ali, Mantilla Herrera, Ana M, Mantovani, Lorenzo Giovanni, Manu, Emmanuel, Marateb, Hamid Reza, Mardi, Parham, Martinez, Gabriel, Martinez-Piedra, Ramon, Martini, Daniela, Martins-Melo, Francisco Rogerlândio, Martorell, Miquel, Marx, Wolfgang, Maryam, Sharmeen, Marzo, Roy Rillera, Mathangasinghe, Yasith, Mathieson, Stephanie, Mathioudakis, Alexander G, Mattumpuram, Jishanth, Maugeri, Andrea, Mayeli, Mahsa, Mazidi, Mohsen, Mazzotti, Antonio, McGrath, John J, McKee, Martin, McKowen, Anna Laura W, McPhail, Michael A, Mehrabani-Zeinabad, Kamran, Mehrabi Nasab, Entezar, Mekene Meto, Tesfahun, Mendoza, Walter, Menezes, Ritesh G, Mensah, George A, Mentis, Alexios-Fotios A, Meo, Sultan Ayoub, Meresa, Haftu Asmerom, Meretoja, Atte, Meretoja, Tuomo J, Mersha, Abera M, Mestrovic, Tomislav, Mettananda, Kukulege Chamila Dinushi, Mettananda, Sachith, Michalek, Irmina Maria, Miller, Paul Anthony, Miller, Ted R, Mills, Edward J, Minh, Le Huu Nhat, Mirijello, Antonio, Mirrakhimov, Erkin M, Mirutse, Mizan Kiros, Mirza-Aghazadeh-Attari, Mohammad, Mirzaei, Maryam, Mirzaei, Roya, Misganaw, Awoke, Mishra, Ajay Kumar, Mitchell, Philip B, Mittal, Chaitanya, Moazen, Babak, Moberg, Madeline E, Mohamed, Jama, Mohamed, Mouhand F H, Mohamed, Nouh Saad, Mohammadi, Esmaeil, Mohammadi, Soheil, Mohammed, Hussen, Mohammed, Salahuddin, Mohammed, Shafiu, Mohr, Robin M, Mokdad, Ali H, Molinaro, Sabrina, Momtazmanesh, Sara, Monasta, Lorenzo, Mondello, Stefania, Moodi Ghalibaf, AmirAli, Moradi, Maryam, Moradi, Yousef, Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreira, Rafael Silveira, Morovatdar, Negar, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mosser, Jonathan F, Mossialos, Elias, Motappa, Rohith, Mougin, Vincent, Mouodi, Simin, Mrejen, Matías, Msherghi, Ahmed, Mubarik, Sumaira, Mueller, Ulrich Otto, Mulita, Francesk, Munjal, Kavita, Murillo-Zamora, Efrén, Murlimanju, BV, Mustafa, Ghulam, Muthu, Sathish, Muzaffar, Muhammad, Myung, Woojae, Nagarajan, Ahamarshan Jayaraman, Naghavi, Pirouz, Naik, Ganesh R, Nainu, Firzan, Nair, Sanjeev, Najmuldeen, Hastyar Hama Rashid, Nangia, Vinay, Naqvi, Atta Abbas, Narayana, Aparna Ichalangod, Nargus, Shumaila, Nascimento, Gustavo G, Nashwan, Abdulqadir J, Nasrollahizadeh, Ali, Nasrollahizadeh, Amir, Natto, Zuhair S, Nayak, Biswa Prakash, Nayak, Vinod C, Nduaguba, Sabina Onyinye, Negash, Hadush, Negoi, Ionut, Negoi, Ruxandra Irina, Nejadghaderi, Seyed Aria, Nesbit, Olivia D, Netsere, Henok Biresaw, Ng, Marie, Nguefack-Tsague, Georges, Ngunjiri, Josephine W, Nguyen, Dang H, Nguyen, Hien Quang, Niazi, Robina Khan, Nikolouzakis, Taxiarchis Konstantinos, Nikoobar, Ali, Nikoomanesh, Fatemeh, Nikpoor, Amin Reza, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Nomura, Shuhei, Norrving, Bo, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nurrika, Dieta, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Odetokun, Ismail A, O'Donnell, Martin James, Oguntade, Ayodipupo Sikiru, Oguta, James Odhiambo, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olasupo, Omotola O, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Omar, Hany A, Omer, Goran Latif, Omonisi, Abidemi E Emmanuel, Onie, Sandersan, Onwujekwe, Obinna E, Ordak, Michal, Orish, Verner N, Ortega-Altamirano, Doris V, Ortiz, Alberto, Ortiz-Brizuela, Edgar, Osman, Wael M S, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, P A, Mahesh Padukudru, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Palicz, Tamás, Palladino, Claudia, Pan, Feng, Pandi-Perumal, Seithikurippu R, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantea Stoian, Anca Mihaela, Pardhan, Shahina, Parikh, Romil R, Pashaei, Ava, Pasovic, Maja, Passera, Roberto, Patel, Jay, Patel, Sangram Kishor, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pedersini, Paolo, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Peprah, Prince, Perdigão, João, Pereira, Maria Odete, Perianayagam, Arokiasamy, Perico, Norberto, Pesudovs, Konrad, Petermann-Rocha, Fanny Emily, Petri, William A, Pham, Hoang Tran, Philip, Anil K, Phillips, Michael R, Pigeolet, Manon, Pigott, David M, Pillay, Julian David, Piracha, Zahra Zahid, Pirouzpanah, Saeed, Plass, Dietrich, Plotnikov, Evgenii, Poddighe, Dimitri, Polinder, Suzanne, Postma, Maarten J, Pourtaheri, Naeimeh, Prada, Sergio I, Pradhan, Pranil Man Singh, Prakash, V, Prasad, Manya, Prates, Elton Junio Sady, Priscilla, Tina, Pritchett, Natalie, Puri, Pooja, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Rabiee Rad, Mehrdad, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Raggi, Alberto, Raghav, Pankaja Raghav, Rahim, Md Jillur, Rahman, Md Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Shayan, Rahmanian, Mohammad, Rahmawaty, Setyaningrum, Rajaa, Sathish, Ramadan, Mahmoud Mohammed, Ramasamy, Shakthi Kumaran, Ramasubramani, Premkumar, Ramazanu, Sheena, Rana, Kritika, Ranabhat, Chhabi Lal, Rancic, Nemanja, 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Theo, and Murray, Christopher J L
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6. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, 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Konstantinos, Nikoobar, Ali, Nikoomanesh, Fatemeh, Nikpoor, Amin Reza, Ningrum, Dina Nur Anggraini, Nnaji, Chukwudi A, Nnyanzi, Lawrence Achilles, Noman, Efaq Ali, Nomura, Shuhei, Noreen, Mamoona, Noroozi, Nafise, Norrving, Bo, Noubiap, Jean Jacques, Novotney, Amanda, Nri-Ezedi, Chisom Adaobi, Ntaios, George, Ntsekhe, Mpiko, Nuñez-Samudio, Virginia, Nurrika, Dieta, Nutor, Jerry John, Oancea, Bogdan, Obamiro, Kehinde O, Oboh, Mary Aigbiremo, Odetokun, Ismail A, Odogwu, Nkechi Martina, O'Donnell, Martin James, Oduro, Michael Safo, Ofakunrin, Akinyemi O D, Ogunkoya, Abiola, Oguntade, Ayodipupo Sikiru, Oh, In-Hwan, Okati-Aliabad, Hassan, Okeke, Sylvester Reuben, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olaiya, Muideen Tunbosun, Olatubi, Matthew Idowu, Oliveira, Gláucia Maria Moraes, Olufadewa, Isaac Iyinoluwa, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oluwafemi, Yinka Doris, Omar, Hany A, Omar Bali, Ahmed, Omer, Goran Latif, Ondayo, Maureene Auma, Ong, Sokking, Onwujekwe, Obinna E, Onyedibe, Kenneth Ikenna, Ordak, Michal, Orisakwe, Orish Ebere, Orish, Verner N, Ortega-Altamirano, Doris V, Ortiz, Alberto, Osman, Wael M S, Ostroff, Samuel M, Osuagwu, Uchechukwu Levi, Otoiu, Adrian, Otstavnov, Nikita, Otstavnov, Stanislav S, Ouyahia, Amel, Ouyang, Guoqing, Owolabi, Mayowa O, Ozten, Yaz, P A, Mahesh Padukudru, Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pal, Pramod Kumar, Palicz, Tamás, Palladino, Claudia, Palladino, Raffaele, Palma-Alvarez, Raul Felipe, Pan, Feng, Pan, Hai-Feng, Pana, Adrian, Panda, Paramjot, Panda-Jonas, Songhomitra, Pandi-Perumal, Seithikurippu R, Pangaribuan, Helena Ullyartha, Panos, Georgios D, Panos, Leonidas D, Pantazopoulos, Ioannis, Pantea Stoian, Anca Mihaela, Papadopoulou, Paraskevi, Parikh, Romil R, Park, Seoyeon, Parthasarathi, Ashwaghosha, Pashaei, Ava, Pasovic, Maja, Passera, Roberto, Pasupula, Deepak Kumar, Patel, Hemal M, Patel, Jay, Patel, Sangram Kishor, Patil, Shankargouda, Patoulias, Dimitrios, Patthipati, Venkata Suresh, Paudel, Uttam, Pazoki Toroudi, Hamidreza, Pease, Spencer A, Peden, Amy E, Pedersini, Paolo, Pensato, Umberto, Pepito, Veincent Christian Filipino, Peprah, Emmanuel K, Peprah, Prince, Perdigão, João, Pereira, Marcos, Peres, Mario F P, Perianayagam, Arokiasamy, Perico, Norberto, Pestell, Richard G, Pesudovs, Konrad, Petermann-Rocha, Fanny Emily, Petri, William A, Pham, Hoang Tran, Philip, Anil K, Phillips, Michael R, Pierannunzio, Daniela, Pigeolet, Manon, Pigott, David M, Pilgrim, Thomas, Piracha, Zahra Zahid, Piradov, Michael A, Pirouzpanah, Saeed, Plakkal, Nishad, Plotnikov, Evgenii, Podder, Vivek, Poddighe, Dimitri, Polinder, Suzanne, Polkinghorne, Kevan R, Poluru, Ramesh, Ponkilainen, Ville T, Porru, Fabio, Postma, Maarten J, Poudel, Govinda Raj, Pourshams, Akram, Pourtaheri, Naeimeh, Prada, Sergio I, Pradhan, Pranil Man Singh, Prakasham, Thejeswar N, Prasad, Manya, Prashant, Akila, Prates, Elton Junio Sady, Prieto Alhambra, Daniel, PRISCILLA, TINA, Pritchett, Natalie, Purohit, Bharathi M, Puvvula, Jagadeesh, Qasim, Nameer Hashim, Qattea, Ibrahim, Qazi, Asma Saleem, Qian, Gangzhen, Qiu, Suli, Qureshi, Maryam Faiz, Rabiee Rad, Mehrdad, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi Shahraki, Hadi, Rafferty, Quinn, Raggi, Alberto, Raghav, Pankaja Raghav, Raheem, Nasiru, Rahim, Fakher, Rahim, Md Jillur, Rahimi-Movaghar, Vafa, Rahman, Md Mosfequr, Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajaa, Sathish, Rajput, Prashant, Rakovac, Ivo, Ramasamy, Shakthi Kumaran, Ramazanu, Sheena, Rana, Kritika, Ranabhat, Chhabi Lal, Rancic, Nemanja, Rane, Amey, Rao, Chythra R, Rao, Indu Ramachandra, Rao, Mithun, Rao, Sowmya J, Rasali, Drona Prakash, Rasella, Davide, Rashedi, Sina, Rashedi, Vahid, Rashidi, Mohammad-Mahdi, Rasouli-Saravani, Ashkan, Rasul, Azad, Rathnaiah Babu, Giridhara, Rauniyar, Santosh Kumar, Ravangard, Ramin, Ravikumar, Nakul, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Rawlley, Bharat, Raza, Rabail Zehra, Razo, Christian, Redwan, Elrashdy Moustafa Mohamed, Rehman, Faizan Ur, Reifels, Lennart, Reiner Jr, Robert C, Remuzzi, Giuseppe, Reyes, Luis Felipe, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaeian, Mohsen, Rhee, Taeho Gregory, Riaz, Mavra A, Ribeiro, Antonio Luiz P, Rickard, Jennifer, Riva, Hannah R, Robinson-Oden, Hannah Elizabeth, Rodrigues, Célia Fortuna, Rodrigues, Mónica, Roever, Leonardo, Rogowski, Emma Lynn Best, Rohloff, Peter, Romadlon, Debby Syahru, Romero-Rodríguez, Esperanza, Romoli, Michele, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A, Rout, Himanshu Sekhar, Roy, Nitai, Roy, Priyanka, Rubagotti, Enrico, Ruela, Guilherme de Andrade, Rumisha, Susan Fred, Runghien, Tilleye, Rwegerera, Godfrey M, Rynkiewicz, Andrzej, S N, Chandan, Saad, Aly M A, Saadatian, Zahra, Saber, Korosh, Saber-Ayad, Maha Mohamed, SaberiKamarposhti, Morteza, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Sachdeva, Rajesh, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghian, Farideh, Saeb, Mohammad Reza, Saeed, Umar, Safaeinejad, Fahimeh, Safi, Sher Zaman, Sagar, Rajesh, Saghazadeh, Amene, Sagoe, Dominic, Saheb Sharif-Askari, Fatemeh, Saheb Sharif-Askari, Narjes, Sahebkar, Amirhossein, Sahoo, Soumya Swaroop, Sahoo, Umakanta, Sahu, Monalisha, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salamati, Payman, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salehi, Sana, Salem, Marwa Rashad, Salem, Mohammed Z Y, Salimi, Sohrab, Samadi Kafil, Hossein, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sanna, Francesca, Santomauro, Damian Francesco, Santos, Itamar S, Santric-Milicevic, Milena M, Sao Jose, Bruno Piassi, Sarasmita, Made Ary, Saraswathy, Sivan Yegnanarayana Iyer, Saravanan, Aswini, Saravi, Babak, Sarikhani, Yaser, Sarkar, Tanmay, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathish, Thirunavukkarasu, Satpathy, Maheswar, Sayeed, Abu, Sayeed, Md Abu, Saylan, Mete, Sayyah, Mehdi, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schlaich, Markus P, Schlee, Winfried, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schuermans, Art, Schumacher, Austin E, Schutte, Aletta Elisabeth, Schwarzinger, Michaël, Schwebel, David C, Schwendicke, Falk, Šekerija, Mario, Selvaraj, Siddharthan, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Serban, Dragos, Sethi, Yashendra, Sha, Feng, Shabany, Maryam, Shafaat, Amir, Shafie, Mahan, Shah, Nilay S, Shah, Pritik A, Shah, Syed Mahboob, Shahabi, Saeed, Shahbandi, Ataollah, Shahid, Izza, Shahid, Samiah, Shahid, Wajeehah, Shahsavari, Hamid R, Shahwan, Moyad Jamal, Shaikh, Ahmed, Shaikh, Masood Ali, Shakeri, Alireza, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shams-Beyranvand, Mehran, Shamshad, Hina, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Sharfaei, Sadaf, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Rajesh, Sharma, Saurab, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Sheikh, Aziz, Sheikhi, Rahim Ali, Shen, Jiabin, Shetty, Adithi, Shetty, B Suresh Kumar, Shetty, Pavanchand H, Shi, Peilin, Shibuya, Kenji, Shiferaw, Desalegn, Shigematsu, Mika, Shin, Min-Jeong, Shin, Youn Ho, Shiri, Rahman, Shirkoohi, Reza, Shitaye, Nebiyu Aniley, Shittu, Aminu, Shiue, Ivy, Shivakumar, K M, Shivarov, Velizar, Shokraneh, Farhad, Shokri, Azad, Shool, Sina, Shorofi, Seyed Afshin, Shrestha, Sunil, Shuval, Kerem, Siddig, Emmanuel Edwar, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Garima, Singh, Jasbir, Singh, Narinder Pal, Singh, Paramdeep, Singh, Surjit, Sinha, Dhirendra Narain, Sinto, Robert, Siraj, Md Shahjahan, Sirota, Sarah Brooke, Sitas, Freddy, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Sreeramareddy, Chandrashekhar T, Srivastava, Vijay Kumar, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stark, Benjamin A, Starnes, Joseph R, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stevanović, Aleksandar, Stockfelt, Leo, Stokes, Mark A, Stortecky, Stefan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Haitong Zhe, Sun, Jing, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabish, Mohammad, TADAKAMADLA, JYOTHI, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tang, Hong K, Tarigan, Ingan Ukur, Tariku, Mengistie Kassahun, Tariqujjaman, Md, Tarkang, Elvis Enowbeyang, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tefera, Yibekal Manaye, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesler, Riki, Teye-Kwadjo, Enoch, Thakur, Rishu, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Tharwat, Samar, Thayakaran, Rasiah, Thomas, Nihal, Thomas, Nikhil Kenny, Thomson, Azalea M, Thrift, Amanda G, Thum, Chern Choong Chern, Thygesen, Lau Caspar, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Topor-Madry, Roman, Toriola, Adetunji T, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Nghia Minh, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Irfan, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van de Velde, Sarah M, Van den Eynde, Jef, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Ning, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Watson, Stephanie Louise Watson, Weerakoon, Kosala Gayan, Wei, Melissa Y, Weintraub, Robert G, Weiss, Daniel J, Westerman, Ronny, Whisnant, Joanna L, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wojewodzic, Marcin W, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wolfe, Charles D A, Wondimagegene, Yohannes Addisu, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Ai-Min, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xie, Yang, Xu, Suowen, Xu, Wang-Dong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadollahpour, Ali, Yamagishi, Kazumasa, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesiltepe, Metin, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yigezu, Amanuel, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yismaw, Malede Berihun, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yoon, Seok-Jun, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuh, Faith H, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zangiabadian, Moein, Zar, Heather J, Zare, Iman, Zarrintan, Armin, Zeariya, Mohammed G M, Zeinali, Zahra, Zhang, Haijun, Zhang, Jianrong, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L
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- 2024
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7. The Effect of Oral Acetaminophen on Open Arterial Duct Closure in Premature Infants Less Than 32 Weeks
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Noori Noor Mohammad, Teimouri Alireza, Dehvari Abdollah, Bagheie Somayeh, and Ansari Hossein
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paracetamol ,open arterial duct ,preterm ,Internal medicine ,RC31-1245 - Abstract
In most term neonates, the ductus arteriosus closes functionally on the first day of life, and a permanently open ductus arteriosus is abnormal.
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- 2023
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8. Prevalence of dyslipidemias in the Middle East region: A systematic review & meta-analysis study
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Kargar, Shiva and Ansari, Hossein
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- 2023
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9. Bariatric Surgery in Migraine patients: CGRP Level and Weight Loss
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Etefagh, Helia Hemasian, Shahmiri, Shahab Shahabi, Melali, Hamid, Sayadi, Masoud, Ansari, Hossein, Shahzamani, Arvin, and Deyhimi, Mitra Sadat
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- 2022
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10. Optimization of Applied Water Depth Under Water Limiting Conditions
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Kamali, Mohammad Ismaeil, Ansari, Hossein, and Nazari, Rouzbeh
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- 2022
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11. Diagnosis of Moisture Content in Oil-Paper Bushings Using Statistical Indicators Based on Frequency Domain Spectroscopy
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Taghizade Ansari, Hossein, Vahedi, Abolfazl, Khlyupin, Pavel Alexandrovich, Mahmoudi, Nami, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Ronzhin, Andrey, editor, and Shishlakov, Vladislav, editor
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- 2022
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12. A modified version of the SMAR model for estimating root-zone soil moisture from time-series of surface soil moisture
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Faridani, Farid, Farid, Alireza, Ansari, Hossein, and Manfreda, Salvatore
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- 2017
13. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016
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Feigin, Valery L, Nguyen, Grant, Cercy, Kelly, Johnson, Catherine O, Alam, Tahiya, Parmar, Priyakumari G, Abajobir, Amanuel A, Abate, Kalkidan H, Abd-Allah, Foad, Abejie, Ayenew N, Abyu, Gebre Y, Ademi, Zanfina, Agarwal, Gina, Ahmed, Muktar B, Akinyemi, Rufus O, Al-Raddadi, Rajaa, Aminde, Leopold N, Amlie-Lefond, Catherine, Ansari, Hossein, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay M, Ayele, Henok T, Banach, Maciej, Banerjee, Amitava, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barregard, Lars, Basu, Sanjay, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Derbew F, Boneya, Dube J, Brainin, Michael, Campos-Nonato, Ismael R, Caso, Valeria, Castañeda-Orjuela, Carlos A, Rivas, Jacquelin C, Catalá-López, Ferrán, Christensen, Hanne, Criqui, Michael H, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, de Courten, Barbora, deVeber, Gabrielle, Dokova, Klara, Edessa, Dumessa, Endres, Matthias, Faraon, Emerito JA, Farvid, Maryam S, Fischer, Florian, Foreman, Kyle, Forouzanfar, Mohammad H, Gall, Seana L, Gebrehiwot, Tsegaye T, Geleijnse, Johanna M, Gillum, Richard F, Giroud, Maurice, Goulart, Alessandra C, Gupta, Rahul, Gupta, Rajeev, Hachinski, Vladimir, Hamadeh, Randah R, Hankey, Graeme J, Hareri, Habtamu A, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Hibstu, Desalegn T, James, Spencer L, Jeemon, Panniyammakal, John, Denny, Jonas, Jost B, Jóźwiak, Jacek, Kalani, Rizwan, Kandel, Amit, Kasaeian, Amir, Kengne, Andre P, Khader, Yousef S, Khan, Abdur R, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J, Kivimaki, Mika, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kravchenko, Michael, Krishnamurthi, Rita, Kumar, G Anil, Lafranconi, Alessandra, and Lavados, Pablo M
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Aging ,Brain Disorders ,Stroke ,Prevention ,Aetiology ,2.4 Surveillance and distribution ,Good Health and Well Being ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Cause of Death ,Female ,Global Burden of Disease ,Global Health ,Humans ,Incidence ,Male ,Middle Aged ,Risk ,Sex Distribution ,Socioeconomic Factors ,GBD 2016 Lifetime Risk of Stroke Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundThe lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.MethodsWe used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.ResultsThe estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation.ConclusionsIn 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
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- 2018
14. Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016.
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GBD 2016 Lifetime Risk of Stroke Collaborators, Feigin, Valery L, Nguyen, Grant, Cercy, Kelly, Johnson, Catherine O, Alam, Tahiya, Parmar, Priyakumari G, Abajobir, Amanuel A, Abate, Kalkidan H, Abd-Allah, Foad, Abejie, Ayenew N, Abyu, Gebre Y, Ademi, Zanfina, Agarwal, Gina, Ahmed, Muktar B, Akinyemi, Rufus O, Al-Raddadi, Rajaa, Aminde, Leopold N, Amlie-Lefond, Catherine, Ansari, Hossein, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay M, Ayele, Henok T, Banach, Maciej, Banerjee, Amitava, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barregard, Lars, Basu, Sanjay, Bedi, Neeraj, Behzadifar, Masoud, Béjot, Yannick, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Derbew F, Boneya, Dube J, Brainin, Michael, Campos-Nonato, Ismael R, Caso, Valeria, Castañeda-Orjuela, Carlos A, Rivas, Jacquelin C, Catalá-López, Ferrán, Christensen, Hanne, Criqui, Michael H, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, de Courten, Barbora, deVeber, Gabrielle, Dokova, Klara, Edessa, Dumessa, Endres, Matthias, Faraon, Emerito JA, Farvid, Maryam S, Fischer, Florian, Foreman, Kyle, Forouzanfar, Mohammad H, Gall, Seana L, Gebrehiwot, Tsegaye T, Geleijnse, Johanna M, Gillum, Richard F, Giroud, Maurice, Goulart, Alessandra C, Gupta, Rahul, Gupta, Rajeev, Hachinski, Vladimir, Hamadeh, Randah R, Hankey, Graeme J, Hareri, Habtamu A, Havmoeller, Rasmus, Hay, Simon I, Hegazy, Mohamed I, Hibstu, Desalegn T, James, Spencer L, Jeemon, Panniyammakal, John, Denny, Jonas, Jost B, Jóźwiak, Jacek, Kalani, Rizwan, Kandel, Amit, Kasaeian, Amir, Kengne, Andre P, Khader, Yousef S, Khan, Abdur R, Khang, Young-Ho, Khubchandani, Jagdish, Kim, Daniel, Kim, Yun J, Kivimaki, Mika, Kokubo, Yoshihiro, Kolte, Dhaval, Kopec, Jacek A, Kosen, Soewarta, Kravchenko, Michael, Krishnamurthi, Rita, Kumar, G Anil, and Lafranconi, Alessandra
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GBD 2016 Lifetime Risk of Stroke Collaborators ,Humans ,Incidence ,Cause of Death ,Risk ,Age Distribution ,Sex Distribution ,Socioeconomic Factors ,Adult ,Aged ,Aged ,80 and over ,Middle Aged ,Female ,Male ,Stroke ,Global Health ,Global Burden of Disease ,Brain Disorders ,Aging ,Prevention ,2.4 Surveillance and distribution ,General & Internal Medicine ,Medical and Health Sciences - Abstract
BackgroundThe lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.MethodsWe used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.ResultsThe estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation.ConclusionsIn 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).
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- 2018
15. Optimal power quality monitor placement to ensure reliable monitoring of sensitive loads in the presence of voltage sags and harmonic resonances conditions
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Shakeri, Sina, Rezaeian Koochi, Mohammad Hossein, Ansari, Hossein, and Esmaeili, Saeid
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- 2022
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16. Adverse events following COVID-19 vaccination: A systematic review and meta-analysis
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Kouhpayeh, Hamidreza and Ansari, Hossein
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- 2022
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17. Epidemiological and clinical risk factors related to severe COVID-19 in Iran: a multi-center study
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Hashemi-Shahri, Seyed Mohammad, Tabatabaei, Seyed Mohammad Nasiraldin, Ansari-Moghaddam, Alireza, Mohammadi, Mahdi, Okati-Aliabad, Hassan, Tabatabaei, Seyed Mehdi, Ansari, Hossein, Abbasi, Mohammadhadi, Sheikhzadeh, Khodadad, Baygi, Mehdi Zanganeh, Sartipi, Majid, Sanei-Sistani, Sharareh, Khorashad, Ali Reza Salimi, Ansari-Moghadam, Fatemeh, Torab, Neda, Khalili, Tahereh, and Miri-Aliabad, Ghasem
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- 2022
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18. Evaluating the insulation condition of oil‐impregnated paper bushings based on the time constant database.
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Taghizade Ansari, Hossein, Vahedi, Abolfazl, and Mahmoudi, Nami
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Assessing the insulation condition of oil‐impregnated paper (OIP) bushings is necessary to guarantee the safe operation of power transformers. Moisture is the main threat to the insulation of OIP bushings. Therefore, accurately estimating their moisture value is crucial to keep power systems running smoothly. However, it has been suggested that the ageing status of OIP bushings should be considered while assessing the moisture. Dielectric frequency‐domain spectroscopy (FDS) has been extensively employed for assessing insulation condition of OIP insulations due to its benefits. A new approach was proposed to assess the insulation condition of OIP bushings using FDS results. Various OIP samples with various moisture levels and degrees of polymerisation (DP) were selected. The extended Debye model (EDM) parameters related to each sample were calculated using their tanδ − f curve. A time constant database (TCD) was created using the obtained time constants of EDM, which includes the dominant time constant and time constant related to the R0 – C0 branch, and their corresponding insulation condition. Then, a method was introduced based on the created TCD to estimate the insulation condition of OIP bushings. The results showed that the average relative error of moisture and DP estimation is 8.33% and 6.32%, respectively. [ABSTRACT FROM AUTHOR]
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- 2024
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19. 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
20. 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
21. 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
22. 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
23. Optimal Design of Water Distribution Networks Incorporating Reliability Criteria
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Moghaddam, Alireza, Ziaei, Ali Naghi, Miller, Carol, Fahim, Zahra, Ansari, Hossein, Attarzadeh, Fatemeh, Rouholamini, Mahdi, Moghbeli, Mohammadamin, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, O. Gawad, Iman, Editorial Board Member, Amer, Mourad, Series Editor, Naddeo, Vincenzo, editor, Balakrishnan, Malini, editor, and Choo, Kwang-Ho, editor
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- 2020
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24. Headache or facial pain attributed to disorder of the cranium, eyes, ears, nose, sinuses, teeth, mouth, or other facial structure
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Ansari, Hossein, primary and Haghighi, Samaneh, additional
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- 2022
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25. Cervicogenic headache
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Ansari, Hossein, primary
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- 2022
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26. Contributors
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Abolhasani, Maryam, primary, Ansari, Hossein, additional, Ansari, Behnaz, additional, Arzani, Mahsa, additional, Asefi, Hoda, additional, Azadvari, Mohaddeseh, additional, Bolay, Hayrunnisa, additional, Etesam, Farnaz, additional, Faraji, Fardin, additional, Ghafarpour, Majid, additional, Haghighi, Samaneh, additional, Jafari, Elham, additional, Mohammadianinejad, Seyed Ehsan, additional, Naderi Behdani, Fereshteh, additional, Nasergivehchi, Somayeh, additional, Okhovat, Ali Asghar, additional, Ozge, Aynur, additional, Razeghi Jahromi, Soodeh, additional, Togha, Mansoureh, additional, Vahabi, Zahra, additional, and Vuralli, Doga, additional
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- 2022
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27. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Collaborators, GBD 2016 Risk Factors, Gakidou, Emmanuela, Afshin, Ashkan, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Abyu, Gebre Yitayih, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afarideh, Mohsen, Agrawal, Anurag, Agrawal, Sutapa, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Akinyemi, Rufus Olusola, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alasfoor, Deena, Alene, Kefyalew Addis, Ali, Komal, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Ansari, Hossein, Antó, Josep M, Antonio, Carl Abelardo T, Anwari, Palwasha, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Ballew, Shoshana H, Barac, Aleksandra, Barber, Ryan M, Barker-Collo, Suzanne L, Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Batis, Carolina, Battle, Katherine E, Baumgarner, Blair R, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhansali, Anil, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Blosser, Christopher D, Boneya, Dube Jara, Bou-Orm, Ibrahim R, Brauer, Michael, and Breitborde, Nicholas JK
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Epidemiology ,Health Sciences ,Prevention ,Aetiology ,2.2 Factors relating to the physical environment ,Good Health and Well Being ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Air Pollution ,Body Mass Index ,Cause of Death ,Child ,Child ,Preschool ,Communicable Diseases ,Disabled Persons ,Environmental Health ,Female ,Global Burden of Disease ,Humans ,Infant ,Infant ,Newborn ,Life Expectancy ,Male ,Metabolic Diseases ,Middle Aged ,Noncommunicable Diseases ,Occupational Diseases ,Quality-Adjusted Life Years ,Risk Assessment ,Sex Distribution ,Smoking ,Water Supply ,Young Adult ,GBD 2016 Risk Factors Collaborators ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundThe Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of risk factor exposure and attributable burden of disease. By providing estimates over a long time series, this study can monitor risk exposure trends critical to health surveillance and inform policy debates on the importance of addressing risks in context.MethodsWe used the comparative risk assessment 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 clusters of risks from 1990 to 2016. This study included 481 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk (RR) and exposure estimates from 22 717 randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources, according to the GBD 2016 source counting methods. 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. Finally, we explored four drivers of trends in attributable burden: population growth, population ageing, trends in risk exposure, and all other factors combined.FindingsSince 1990, exposure increased significantly for 30 risks, did not change significantly for four risks, and decreased significantly for 31 risks. Among risks that are leading causes of burden of disease, child growth failure and household air pollution showed the most significant declines, while metabolic risks, such as body-mass index and high fasting plasma glucose, showed significant increases. In 2016, at Level 3 of the hierarchy, the three leading risk factors in terms of attributable DALYs at the global level for men were smoking (124·1 million DALYs [95% UI 111·2 million to 137·0 million]), high systolic blood pressure (122·2 million DALYs [110·3 million to 133·3 million], and low birthweight and short gestation (83·0 million DALYs [78·3 million to 87·7 million]), and for women, were high systolic blood pressure (89·9 million DALYs [80·9 million to 98·2 million]), high body-mass index (64·8 million DALYs [44·4 million to 87·6 million]), and high fasting plasma glucose (63·8 million DALYs [53·2 million to 76·3 million]). In 2016 in 113 countries, the leading risk factor in terms of attributable DALYs was a metabolic risk factor. Smoking remained among the leading five risk factors for DALYs for 109 countries, while low birthweight and short gestation was the leading risk factor for DALYs in 38 countries, particularly in sub-Saharan Africa and South Asia. In terms of important drivers of change in trends of burden attributable to risk factors, between 2006 and 2016 exposure to risks explains an 9·3% (6·9-11·6) decline in deaths and a 10·8% (8·3-13·1) decrease in DALYs at the global level, while population ageing accounts for 14·9% (12·7-17·5) of deaths and 6·2% (3·9-8·7) of DALYs, and population growth for 12·4% (10·1-14·9) of deaths and 12·4% (10·1-14·9) of DALYs. The largest contribution of trends in risk exposure to disease burden is seen between ages 1 year and 4 years, where a decline of 27·3% (24·9-29·7) of the change in DALYs between 2006 and 2016 can be attributed to declines in exposure to risks.InterpretationIncreasingly detailed understanding of the trends in risk exposure and the RRs for each risk-outcome pair provide insights into both the magnitude of health loss attributable to risks and how modification of risk exposure has contributed to health trends. Metabolic risks warrant particular policy attention, due to their large contribution to global disease burden, increasing trends, and variable patterns across countries at the same level of development. GBD 2016 findings show that, while it has huge potential to improve health, risk modification has played a relatively small part in the past decade.FundingThe Bill & Melinda Gates Foundation, Bloomberg Philanthropies.
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- 2017
28. Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016
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Collaborators, GBD 2016 Causes of Death, Naghavi, Mohsen, Abajobir, Amanuel Alemu, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abera, Semaw Ferede, Aboyans, Victor, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Ahmadi, Alireza, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Miloud Taki Eddine, Aichour, Ibtihel, Aiyar, Sneha, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Tahiya, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alizadeh-Navaei, Reza, Alkaabi, Juma M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andersen, Hjalte H, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon W, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Balakrishnan, Kalpana, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne L, Barquera, Simon, Barregard, Lars, Barrero, Lope H, Baune, Bernhard T, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Bhatt, Samir, Biadgilign, Sibhatu, Bienhoff, Kelly, Bikbov, Boris, Bisanzio, Donal, Bourne, Rupert RA, Breitborde, Nicholas JK, Bulto, Lemma Negesa Bulto, Bumgarner, Blair R, Butt, Zahid A, Cahuana-Hurtado, Lucero, Cameron, Ewan, Campuzano, Julio Cesar, Car, Josip, Cárdenas, Rosario, Carrero, Juan Jesus, Carter, Austin, Casey, Daniel C, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Charlson, Fiona J, Chibueze, Chioma Ezinne, and Chimed-Ochir, Odgerel
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Pediatric ,Clinical Research ,Infant Mortality ,Infectious Diseases ,2.4 Surveillance and distribution ,Aetiology ,Infection ,Cardiovascular ,Good Health and Well Being ,Adolescent ,Adult ,Age Distribution ,Aged ,Aged ,80 and over ,Cause of Death ,Child ,Child ,Preschool ,Communicable Diseases ,Disasters ,Female ,Global Burden of Disease ,Global Health ,Humans ,Infant ,Infant ,Newborn ,Male ,Middle Aged ,Noncommunicable Diseases ,Nutrition Disorders ,Pregnancy ,Pregnancy Complications ,Socioeconomic Factors ,Wounds and Injuries ,Young Adult ,GBD 2016 Causes of Death Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundMonitoring levels and trends in premature mortality is crucial to understanding how societies can address prominent sources of early death. The Global Burden of Disease 2016 Study (GBD 2016) provides a comprehensive assessment of cause-specific mortality for 264 causes in 195 locations from 1980 to 2016. This assessment includes evaluation of the expected epidemiological transition with changes in development and where local patterns deviate from these trends.MethodsWe estimated cause-specific deaths and years of life lost (YLLs) by age, sex, geography, and year. YLLs were calculated from the sum of each death multiplied by the standard life expectancy at each age. We used the GBD cause of death database composed of: vital registration (VR) data corrected for under-registration and garbage coding; national and subnational verbal autopsy (VA) studies corrected for garbage coding; and other sources including surveys and surveillance systems for specific causes such as maternal mortality. To facilitate assessment of quality, we reported on the fraction of deaths assigned to GBD Level 1 or Level 2 causes that cannot be underlying causes of death (major garbage codes) by location and year. Based on completeness, garbage coding, cause list detail, and time periods covered, we provided an overall data quality rating for each location with scores ranging from 0 stars (worst) to 5 stars (best). We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to generate estimates for each location, year, age, and sex. We assessed observed and expected levels and trends of cause-specific deaths in relation to the Socio-demographic Index (SDI), a summary indicator derived from measures of average income per capita, educational attainment, and total fertility, with locations grouped into quintiles by SDI. Relative to GBD 2015, we expanded the GBD cause hierarchy by 18 causes of death for GBD 2016.FindingsThe quality of available data varied by location. Data quality in 25 countries rated in the highest category (5 stars), while 48, 30, 21, and 44 countries were rated at each of the succeeding data quality levels. Vital registration or verbal autopsy data were not available in 27 countries, resulting in the assignment of a zero value for data quality. Deaths from non-communicable diseases (NCDs) represented 72·3% (95% uncertainty interval [UI] 71·2-73·2) of deaths in 2016 with 19·3% (18·5-20·4) of deaths in that year occurring from communicable, maternal, neonatal, and nutritional (CMNN) diseases and a further 8·43% (8·00-8·67) from injuries. Although age-standardised rates of death from NCDs decreased globally between 2006 and 2016, total numbers of these deaths increased; both numbers and age-standardised rates of death from CMNN causes decreased in the decade 2006-16-age-standardised rates of deaths from injuries decreased but total numbers varied little. In 2016, the three leading global causes of death in children under-5 were lower respiratory infections, neonatal preterm birth complications, and neonatal encephalopathy due to birth asphyxia and trauma, combined resulting in 1·80 million deaths (95% UI 1·59 million to 1·89 million). Between 1990 and 2016, a profound shift toward deaths at older ages occurred with a 178% (95% UI 176-181) increase in deaths in ages 90-94 years and a 210% (208-212) increase in deaths older than age 95 years. The ten leading causes by rates of age-standardised YLL significantly decreased from 2006 to 2016 (median annualised rate of change was a decrease of 2·89%); the median annualised rate of change for all other causes was lower (a decrease of 1·59%) during the same interval. Globally, the five leading causes of total YLLs in 2016 were cardiovascular diseases; diarrhoea, lower respiratory infections, and other common infectious diseases; neoplasms; neonatal disorders; and HIV/AIDS and tuberculosis. At a finer level of disaggregation within cause groupings, the ten leading causes of total YLLs in 2016 were ischaemic heart disease, cerebrovascular disease, lower respiratory infections, diarrhoeal diseases, road injuries, malaria, neonatal preterm birth complications, HIV/AIDS, chronic obstructive pulmonary disease, and neonatal encephalopathy due to birth asphyxia and trauma. Ischaemic heart disease was the leading cause of total YLLs in 113 countries for men and 97 countries for women. Comparisons of observed levels of YLLs by countries, relative to the level of YLLs expected on the basis of SDI alone, highlighted distinct regional patterns including the greater than expected level of YLLs from malaria and from HIV/AIDS across sub-Saharan Africa; diabetes mellitus, especially in Oceania; interpersonal violence, notably within Latin America and the Caribbean; and cardiomyopathy and myocarditis, particularly in eastern and central Europe. The level of YLLs from ischaemic heart disease was less than expected in 117 of 195 locations. Other leading causes of YLLs for which YLLs were notably lower than expected included neonatal preterm birth complications in many locations in both south Asia and southeast Asia, and cerebrovascular disease in western Europe.InterpretationThe past 37 years have featured declining rates of communicable, maternal, neonatal, and nutritional diseases across all quintiles of SDI, with faster than expected gains for many locations relative to their SDI. A global shift towards deaths at older ages suggests success in reducing many causes of early death. YLLs have increased globally for causes such as diabetes mellitus or some neoplasms, and in some locations for causes such as drug use disorders, and conflict and terrorism. Increasing levels of YLLs might reflect outcomes from conditions that required high levels of care but for which effective treatments remain elusive, potentially increasing costs to health systems.FundingBill & Melinda Gates Foundation.
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- 2017
29. Measuring progress and projecting attainment on the basis of past trends of the health-related Sustainable Development Goals in 188 countries: an analysis from the Global Burden of Disease Study 2016
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Collaborators, GBD 2016 SDG, Fullman, Nancy, Barber, Ryan M, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M, Abd-Allah, Foad, Abdulkader, Rizwan Suliankatchi, Abdulle, Abdishakur M, Abera, Semaw Ferede, Aboyans, Victor, Abu-Raddad, Laith J, Abu-Rmeileh, Niveen ME, Adedeji, Isaac Akinkunmi, Adetokunboh, Olatunji, Afshin, Ashkan, Agrawal, Anurag, Agrawal, Sutapa, Kiadaliri, Aliasghar Ahmad, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibtihel, Aiyar, Sneha, Akinyemi, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Alene, Kefyalew Addis, Alizadeh-Navaei, Reza, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Ansari, Hossein, Antonio, Carl Abelardo T, Anwari, Palwasha, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G Arthur, Awasthi, Ashish, Azzopardi, Peter, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Bannick, Marlena S, Barac, Aleksandra, Barker-Collo, Suzanne L, Bärnighausen, Till, Barrero, Lope H, Basu, Sanjay, Battle, Katherine E, Baune, Bernhard T, Beardsley, Justin, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bell, Michelle L, Bennett, Derrick A, Bennett, James R, Bensenor, Isabela M, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Betsu, Balem Demtsu, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhatt, Samir, Bhutta, Zulfiqar A, Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Bilal, Arebu I, Birungi, Charles, Biryukov, Stan, Bizuayehu, Habtamu Mellie, Blosser, Christopher D, Boneya, Dube Jara, Bose, Dipan, and Bou-Orm, Ibrahim R
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Infectious Diseases ,Pediatric ,Prevention ,Rare Diseases ,Good Health and Well Being ,Adolescent ,Adult ,Child ,Child Abuse ,Sexual ,Child ,Preschool ,Conservation of Natural Resources ,Female ,Global Burden of Disease ,Global Health ,Health Status ,Health Status Indicators ,Humans ,Infant ,Infant Mortality ,Infant ,Newborn ,Male ,Middle Aged ,Noncommunicable Diseases ,Quality-Adjusted Life Years ,Sex Offenses ,Young Adult ,GBD 2016 SDG Collaborators ,Medical and Health Sciences ,General & Internal Medicine - Abstract
BackgroundThe UN's Sustainable Development Goals (SDGs) are grounded in the global ambition of "leaving no one behind". Understanding today's gains and gaps for the health-related SDGs is essential for decision makers as they aim to improve the health of populations. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016), we measured 37 of the 50 health-related SDG indicators over the period 1990-2016 for 188 countries, and then on the basis of these past trends, we projected indicators to 2030.MethodsWe used standardised GBD 2016 methods to measure 37 health-related indicators from 1990 to 2016, an increase of four indicators since GBD 2015. We substantially revised the universal health coverage (UHC) measure, which focuses on coverage of essential health services, to also represent personal health-care access and quality for several non-communicable diseases. We transformed each indicator on a scale of 0-100, with 0 as the 2·5th percentile estimated between 1990 and 2030, and 100 as the 97·5th percentile during that time. An index representing all 37 health-related SDG indicators was constructed by taking the geometric mean of scaled indicators by target. On the basis of past trends, we produced projections of indicator values, using a weighted average of the indicator and country-specific annualised rates of change from 1990 to 2016 with weights for each annual rate of change based on out-of-sample validity. 24 of the currently measured health-related SDG indicators have defined SDG targets, against which we assessed attainment.FindingsGlobally, the median health-related SDG index was 56·7 (IQR 31·9-66·8) in 2016 and country-level performance markedly varied, with Singapore (86·8, 95% uncertainty interval 84·6-88·9), Iceland (86·0, 84·1-87·6), and Sweden (85·6, 81·8-87·8) having the highest levels in 2016 and Afghanistan (10·9, 9·6-11·9), the Central African Republic (11·0, 8·8-13·8), and Somalia (11·3, 9·5-13·1) recording the lowest. Between 2000 and 2016, notable improvements in the UHC index were achieved by several countries, including Cambodia, Rwanda, Equatorial Guinea, Laos, Turkey, and China; however, a number of countries, such as Lesotho and the Central African Republic, but also high-income countries, such as the USA, showed minimal gains. Based on projections of past trends, the median number of SDG targets attained in 2030 was five (IQR 2-8) of the 24 defined targets currently measured. Globally, projected target attainment considerably varied by SDG indicator, ranging from more than 60% of countries projected to reach targets for under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria, to less than 5% of countries projected to achieve targets linked to 11 indicator targets, including those for childhood overweight, tuberculosis, and road injury mortality. For several of the health-related SDGs, meeting defined targets hinges upon substantially faster progress than what most countries have achieved in the past.InterpretationGBD 2016 provides an updated and expanded evidence base on where the world currently stands in terms of the health-related SDGs. Our improved measure of UHC offers a basis to monitor the expansion of health services necessary to meet the SDGs. Based on past rates of progress, many places are facing challenges in meeting defined health-related SDG targets, particularly among countries that are the worst off. In view of the early stages of SDG implementation, however, opportunity remains to take actions to accelerate progress, as shown by the catalytic effects of adopting the Millennium Development Goals after 2000. With the SDGs' broader, bolder development agenda, multisectoral commitments and investments are vital to make the health-related SDGs within reach of all populations.FundingBill & Melinda Gates Foundation.
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- 2017
30. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015
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Roth, Gregory A, Johnson, Catherine, Abajobir, Amanuel, Abd-Allah, Foad, Abera, Semaw Ferede, Abyu, Gebre, Ahmed, Muktar, Aksut, Baran, Alam, Tahiya, Alam, Khurshid, Alla, François, Alvis-Guzman, Nelson, Amrock, Stephen, Ansari, Hossein, Ärnlöv, Johan, Asayesh, Hamid, Atey, Tesfay Mehari, Avila-Burgos, Leticia, Awasthi, Ashish, Banerjee, Amitava, Barac, Aleksandra, Bärnighausen, Till, Barregard, Lars, Bedi, Neeraj, Ketema, Ezra Belay, Bennett, Derrick, Berhe, Gebremedhin, Bhutta, Zulfiqar, Bitew, Shimelash, Carapetis, Jonathan, Carrero, Juan Jesus, Malta, Deborah Carvalho, Castañeda-Orjuela, Carlos Andres, Castillo-Rivas, Jacqueline, Catalá-López, Ferrán, Choi, Jee-Young, Christensen, Hanne, Cirillo, Massimo, Cooper, Leslie, Criqui, Michael, Cundiff, David, Damasceno, Albertino, Dandona, Lalit, Dandona, Rakhi, Davletov, Kairat, Dharmaratne, Samath, Dorairaj, Prabhakaran, Dubey, Manisha, Ehrenkranz, Rebecca, Zaki, Maysaa El Sayed, Faraon, Emerito Jose A, Esteghamati, Alireza, Farid, Talha, Farvid, Maryam, Feigin, Valery, Ding, Eric L, Fowkes, Gerry, Gebrehiwot, Tsegaye, Gillum, Richard, Gold, Audra, Gona, Philimon, Gupta, Rajeev, Habtewold, Tesfa Dejenie, Hafezi-Nejad, Nima, Hailu, Tesfaye, Hailu, Gessessew Bugssa, Hankey, Graeme, Hassen, Hamid Yimam, Abate, Kalkidan Hassen, Havmoeller, Rasmus, Hay, Simon I, Horino, Masako, Hotez, Peter J, Jacobsen, Kathryn, James, Spencer, Javanbakht, Mehdi, Jeemon, Panniyammakal, John, Denny, Jonas, Jost, Kalkonde, Yogeshwar, Karimkhani, Chante, Kasaeian, Amir, Khader, Yousef, Khan, Abdur, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah T, Khubchandani, Jagdish, Kim, Daniel, Kolte, Dhaval, Kosen, Soewarta, Krohn, Kristopher J, Kumar, G Anil, Kwan, Gene F, Lal, Dharmesh Kumar, Larsson, Anders, Linn, Shai, Lopez, Alan, Lotufo, Paulo A, and Razek, Hassan Magdy Abd El
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Prevention ,Cardiovascular ,Burden of Illness ,Heart Disease ,Aging ,Aetiology ,2.4 Surveillance and distribution ,Good Health and Well Being ,Adult ,Aged ,Cardiovascular Diseases ,Cause of Death ,Female ,Global Health ,Humans ,Life Expectancy ,Male ,Middle Aged ,Morbidity ,Prevalence ,Prospective Studies ,Retrospective Studies ,Risk Assessment ,Risk Factors ,Sex Distribution ,Survival Rate ,Young Adult ,cause of death ,epidemiology ,global health ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology - Abstract
BackgroundThe burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world.ObjectivesThe GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden.MethodsCVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age-specific CVD deaths by a reference life expectancy. A sociodemographic index (SDI) was created for each location based on income per capita, educational attainment, and fertility.ResultsIn 2015, there were an estimated 422.7 million cases of CVD (95% uncertainty interval: 415.53 to 427.87 million cases) and 17.92 million CVD deaths (95% uncertainty interval: 17.59 to 18.28 million CVD deaths). Declines in the age-standardized CVD death rate occurred between 1990 and 2015 in all high-income and some middle-income countries. Ischemic heart disease was the leading cause of CVD health lost globally, as well as in each world region, followed by stroke. As SDI increased beyond 0.25, the highest CVD mortality shifted from women to men. CVD mortality decreased sharply for both sexes in countries with an SDI >0.75.ConclusionsCVDs remain a major cause of health loss for all regions of the world. Sociodemographic change over the past 25 years has been associated with dramatic declines in CVD in regions with very high SDI, but only a gradual decrease or no change in most regions. Future updates of the GBD study can be used to guide policymakers who are focused on reducing the overall burden of noncommunicable disease and achieving specific global health targets for CVD.
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- 2017
31. The Association Between Dietary Acid Load and Odds of Migraine: A Case–Control Survey
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Mousavi, Maryam, Jahromi, Soodeh Razeghi, Togha, Mansoureh, Ghorbani, Zeinab, Hekmatdoost, Azita, Rafiee, Pegah, Torkan, Boshra, Shirani, Pedram, Ansari, Hossein, Karami, Ahmadreza, Nourmohammadi, Morvarid, and Khorsha, Faezeh
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- 2021
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32. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Naghavi, M, Ong, K, Aali, A, Ababneh, H, Abate, Y, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M, Abdoun, M, Abdulah, D, Abdullahi, A, Abebe, M, Abebe, S, Abedi, A, Abegaz, K, Abhilash, E, Abidi, H, Abiodun, O, Aboagye, R, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, G, Abreu, L, Abrha, W, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, N, Aburuz, S, Abu-Zaid, A, Accrombessi, M, Adal, T, Adamu, A, Addo, I, Addolorato, G, Adebiyi, A, Adekanmbi, V, Adepoju, A, Adetunji, C, Adetunji, J, Adeyeoluwa, T, Adeyinka, D, Adeyomoye, O, Admass, B, Adnani, Q, Adra, S, Afolabi, A, Afzal, M, Afzal, S, Agampodi, S, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, M, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, A, Ahmed, A, Ahmed, H, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Aji, B, Akara, E, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, M, Akyirem, S, Al Hamad, H, Al Hasan, S, Alahdab, F, Alalalmeh, S, Alalwan, T, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, R, Alanezi, F, Alanzi, T, Al-Azzam, S, Albakri, A, Albashtawy, M, Albataineh, M, Alcalde-Rabanal, J, Aldawsari, K, Aldhaleei, W, Aldridge, R, Alema, H, Alemayohu, M, Alemi, S, Alemu, Y, Al-Gheethi, A, Alhabib, K, Alhalaiqa, F, Al-Hanawi, M, Ali, A, Ali, L, Ali, M, Ali, R, Ali, S, Alicandro, G, Alif, S, Alikhani, R, Alimohamadi, Y, Aliyi, A, Aljasir, M, Aljunid, S, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, S, Almazan, J, Al-Mekhlafi, H, Almidani, L, Almidani, O, Alomari, M, Al-Omari, B, Alonso, J, Alqahtani, J, Alqalyoobi, S, Alqutaibi, A, Al-Sabah, S, Altaany, Z, Altaf, A, Al-Tawfiq, J, Altirkawi, K, Aluh, D, Alvis-Guzman, N, Alwafi, H, Al-Worafi, Y, Aly, H, Aly, S, Alzoubi, K, Amani, R, Amare, A, Amegbor, P, Ameyaw, E, Amin, T, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, M, Amu, H, Amugsi, D, Amusa, G, Ancuceanu, R, Anderlini, D, Anderson, D, Andrade, P, Andrei, C, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, C, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwer, R, Anyasodor, A, Aqeel, M, Arab, J, Arabloo, J, Arafat, M, Aravkin, A, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, M, Ärnlöv, J, Arooj, M, Artamonov, A, Arulappan, J, Aruleba, R, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, A, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, S, Atinafu, B, Atlaw, H, Atorkey, P, Atout, M, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, A, Aweke, A, Ayala Quintanilla, B, Ayatollahi, H, Ayuso-Mateos, J, Ayyoubzadeh, S, Azadnajafabad, S, Azevedo, R, Azzam, A, B, D, Babu, A, Badar, M, Badiye, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, A, Baker, J, Bako, A, Bakshi, R, Balakrishnan, S, Balasubramanian, M, Baltatu, O, Bam, K, Banach, M, Bandyopadhyay, S, Banik, P, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, S, Bärnighausen, T, Barone-Adesi, F, Barqawi, H, Barrero, L, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, J, Basting, A, Basu, S, Batra, K, Baune, B, Bayati, M, Bayileyegn, N, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, A, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, D, Béjot, Y, Belay, S, Belete, C, Bell, M, Bello, M, Bello, O, Belo, L, Beloukas, A, Bender, R, Bensenor, I, Beran, A, Berezvai, Z, Berhie, A, Berice, B, Bernstein, R, Bertolacci, G, Bettencourt, P, Beyene, K, Bhagat, D, Bhagavathula, A, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, M, Bhatti, R, Bhutta, Z, Bikbov, B, Bishai, J, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, B, Bitra, V, Bjørge, T, Boachie, M, Boampong, M, Bobirca, A, Bodolica, V, Bodunrin, A, Bogale, E, Bogale, K, Bohlouli, S, Bolarinwa, O, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, E, Brady, O, Braithwaite, D, Brant, L, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, N, Breitner, S, Brenner, H, Briko, A, Briko, N, Britton, G, Brown, J, Brugha, T, Bulamu, N, Bulto, L, Buonsenso, D, Burns, R, Busse, R, Bustanji, Y, Butt, N, Butt, Z, Caetano dos Santos, F, Calina, D, Cámera, L, Campos, L, Campos-Nonato, I, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, J, Carugno, A, Carvalheiro, C, Carvalho, F, Carvalho, M, Castaldelli-Maia, J, Castañeda-Orjuela, C, Castelpietra, G, Catalá-López, F, Catapano, A, Cattaruzza, M, Cederroth, C, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, K, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, P, Chan, J, Chan, R, Chandika, R, Chandrasekar, E, Chang, C, Chang, J, Chanie, G, Charalampous, P, Chattu, V, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, A, Chen, C, Chen, H, Chen, M, Chen, S, Cheng, C, Cheng, E, Cherbuin, N, Cheru, W, Chien, J, Chimed-Ochir, O, Chimoriya, R, Ching, P, Chirinos-Caceres, J, Chitheer, A, Cho, W, Chong, B, Chopra, H, Choudhari, S, Chowdhury, R, Christopher, D, Chukwu, I, Chung, E, Chung, S, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, M, Claro, R, Coberly, K, Cogen, R, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, P, Costa, V, Costanzo, S, Cousin, E, Couto, R, Cowden, R, Cramer, K, Criqui, M, Cruz-Martins, N, Cuadra-Hernández, S, Culbreth, G, Cullen, P, Cunningham, M, Curado, M, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, L, Damiani, G, Darega Gela, J, Das, J, Das, S, Dascalu, A, Dash, N, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, C, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, A, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, B, Demetriades, A, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, D, Desai, H, Desai, R, Devanbu, V, Dewan, S, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, V, Dias da Silva, D, Diaz, D, Diaz, M, Dima, A, Ding, D, Ding, H, Dinis-Oliveira, R, Dirac, M, Djalalinia, S, Do, T, do Prado, C, Doaei, S, Dodangeh, M, Dohare, S, Dokova, K, Dolecek, C, Dominguez, R, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, E, dos Santos, W, Doshi, R, Doshmangir, L, Dowou, R, Driscoll, T, Dsouza, H, Dsouza, V, Du, M, Dube, J, Duncan, B, Duraes, A, Duraisamy, S, Durojaiye, O, Dwyer-Lindgren, L, Dzianach, P, Dziedzic, A, E'Mar, A, Eboreime, E, Ebrahimi, A, Echieh, C, Edinur, H, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, D, Eikemo, T, Eini, E, Ekholuenetale, M, Ekundayo, T, El 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Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L
- Published
- 2024
33. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
- Author
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Reiner Jr, Robert C, Remuzzi, Giuseppe, Renzaho, Andre M N, Reshmi, Bhageerathy, Reyes, Luis Felipe, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei Hachesu, Peyman, Rezaeian, Mohsen, Rickard, Jennifer, Rodrigues, Célia Fortuna, Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Rotimi, Kunle, Rout, Himanshu Sekhar, Roy, Bedanta, Roy, Nitai, Roy, Priyanka, Rubagotti, Enrico, S N, Chandan, Saad, Aly M A, Saber-Ayad, Maha Mohamed, Sabour, Siamak, Sacco, Simona, Sachdev, Perminder S, Saddik, Basema, Saddler, Adam, Sadee, Bashdar Abuzed, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeb, Mohammad Reza, Saeed, Umar, Safi, Sher Zaman, Sagar, Rajesh, Sagoe, Dominic, Saif, Zahra, Sajid, Mirza Rizwan, Sakshaug, Joseph W, Salam, Nasir, Salami, Afeez Abolarinwa, Salaroli, Luciane B, Saleh, Mohamed A, Salem, Marwa Rashad, Salem, Mohammed Z Y, Sallam, Malik, Samadzadeh, Sara, Samargandy, Saad, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sanna, Francesca, Santos, Itamar S, Santric-Milicevic, Milena M, Sarasmita, Made Ary, Sarikhani, Yaser, Sarmiento-Suárez, Rodrigo, Sarode, Gargi Sachin, Sarode, Sachin C, Sarveazad, Arash, Sathian, Brijesh, Sathyanarayan, Anudeep, Satpathy, Maheswar, Sawhney, Monika, Scarmeas, Nikolaos, Schaarschmidt, Benedikt Michael, Schmidt, Maria Inês, Schneider, Ione Jayce Ceola, Schumacher, Austin E, Schwebel, David C, Schwendicke, Falk, Sedighi, Mansour, Senapati, Sabyasachi, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Sethi, Yashendra, Setoguchi, Soko, Seylani, Allen, Shadid, Jamileh, Shafie, Mahan, Shah, Humaira, Shah, Nilay S, Shah, Pritik A, Shahbandi, Ataollah, Shahid, Samiah, Shahid, Wajeehah, Shahwan, Moyad Jamal, Shaikh, Masood Ali, Shakeri, Alireza, Shalash, Ali S, Sham, Sunder, Shamim, Muhammad Aaqib, Shamshirgaran, Mohammad Ali, Shamsi, Mohammad Anas, Shanawaz, Mohd, Shankar, Abhishek, Shannawaz, Mohammed, Sharath, Medha, Sharifan, Amin, Sharifi-Rad, Javad, Sharma, Manoj, Sharma, Rajesh, Sharma, Saurab, Sharma, Ujjawal, Sharma, Vishal, Shastry, Rajesh P, Shavandi, Amin, Shayan, Amir Mehdi, Shayan, Maryam, Shehabeldine, Amr Mohamed Elsayed, Shetty, Pavanchand H, Shibuya, Kenji, Shifa, Jemal Ebrahim, Shiferaw, Desalegn, Shiferaw, Wondimeneh Shibabaw, Shigematsu, Mika, Shiri, Rahman, Shitaye, Nebiyu Aniley, Shittu, Aminu, Shivakumar, K M, Shivarov, Velizar, Shokati Eshkiki, Zahra, Shool, Sina, Shrestha, Sunil, Shuval, Kerem, Sibhat, Migbar Mekonnen, Siddig, Emmanuel Edwar, Sigfusdottir, Inga Dora, Silva, Diego Augusto Santos, Silva, João Pedro, Silva, Luís Manuel Lopes Rodrigues, Silva, Soraia, Simpson, Colin R, Singal, Anjali, Singh, Abhinav, Singh, Balbir Bagicha, Singh, Harmanjit, Singh, Jasvinder A, Singh, Mahendra, Singh, Paramdeep, Skou, Søren T, Sleet, David A, Slepak, Erica Leigh N, Solanki, Ranjan, Soliman, Sameh S M, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Sreeramareddy, Chandrashekhar T, Stark, Benjamin A, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steiner, Caitlyn, Steiner, Timothy J, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stockfelt, Leo, Stokes, Mark A, Subedi, Narayan Subedi, Subramaniyan, Vetriselvan, Suemoto, Claudia Kimie, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sundström, Johan, Swain, Chandan Kumar, Szarpak, Lukasz, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabche, Celine, Tabish, Mohammad, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taherkhani, Amir, Taiba, Jabeen, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Teimoori, Mojtaba, Temsah, Mohamad-Hani, Teramoto, Masayuki, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Thapar, Rekha, Thayakaran, Rasiah, Thirunavukkarasu, Sathish, Thomas, Nihal, Thomas, Nikhil Kenny, Thum, Chern Choong Chern, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Mai Thi Ngoc, Tran, Nghia Minh, Tran, Ngoc-Ha, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tyrovolas, Stefanos, Udoh, Arit, Umair, Muhammad, Umakanthan, Srikanth, Umar, Tungki Pratama, Undurraga, Eduardo A, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Van den Eynde, Jef, Varga, Orsolya, Varma, Ravi Prasad, Vart, Priya, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Violante, Francesco S, Vlassov, Vasily, Vollset, Stein Emil, Volovat, Simona Ruxandra, Vongpradith, Avina, Waheed, Yasir, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Shu, Wang, Yanzhong, Wang, Yuan-Pang, Ward, Paul, Wassie, Emebet Gashaw, Weaver, Marcia R, Weerakoon, Kosala Gayan, Weintraub, Robert G, Weiss, Daniel J, Weldemariam, Abrha Hailay, Wells, Katherine M, Wen, Yi Feng, Whisnant, Joanna L, Whiteford, Harvey A, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wimo, Anders, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wong, Yen Jun, Woolf, Anthony D, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Wulf Hanson, Sarah, Xia, Yanjie, Xiao, Hong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadav, Lalit, Yadollahpour, Ali, Yaghoubi, Sajad, Yamagishi, Kazumasa, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Yazdanpanah, Mohammad Hosein, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesuf, Subah Abderehim, Yezli, Saber, Yiğit, Arzu, Yiğit, Vahit, Yigzaw, Zeamanuel Anteneh, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Younis, Mustafa Z, Yu, Chuanhua, Yu, Yong, Yusuf, Hadiza, Zahid, Mondal Hasan, Zakham, Fathiah, Zaki, Leila, Zaki, Nazar, Zaman, Burhan Abdullah, Zamora, Nelson, Zand, Ramin, Zandieh, Ghazal G Z, Zar, Heather J, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zhang, Haijun, Zhang, Ning, Zhang, Yunquan, Zhao, Hanqing, Zhong, Chenwen, Zhong, Panliang, Zhou, Juexiao, Zhu, Zhaohua, Ziafati, Makan, Zielińska, Magdalena, Zimsen, Stephanie R M, Zoladl, Mohammad, Zumla, Alimuddin, Zyoud, Samer H, Vos, Theo, and Murray, Christopher J L
- Abstract
Background: Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. Methods: The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause.
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- 2024
34. Healthy eating index 2015 might be associated with migraine headaches: Results from a Case–Control study.
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Fotros, Danial, Noormohammadi, Morvarid, Togha, Mansoureh, Ghorbani, Zeinab, Hekmatdoost, Azita, Rafiee, Pegah, Torkan, Zahra, Shirani, Pedram, Ansari, Hossein, Karami, Ahmadreza, Khorsha, Faezeh, and Razeghi Jahromi, Soodeh
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MIGRAINE ,FOOD habits ,SUMATRIPTAN ,CASE-control method ,BODY mass index ,ACTIVE aging - Abstract
Migraine headaches are the most prevalent disabling primary headaches, affecting individuals at an active age. Dietary interventions are considered low‐cost and practical approaches to migraine prophylaxis. Hence, the present study aimed to assess the association between adherence to the Healthy Eating Index 2015 (HEI‐2015) and migraine headaches. The present case–control study was conducted on 476 newly diagnosed adults with migraine headaches, based on the International Classification of Headache Disorders 3rd edition (ICHDIII criteria(, and 512 healthy controls. Participants' dietary intakes were collected using a validated, 168‐item semi‐quantitative food frequency questionnaire (FFQ). The association between HEI‐2015 and migraine headaches was assessed using logistic regression models. Although the trend was not statistically significant, being in the 4th quantile of the HEI‐2015 was associated with about 50% lower odds of migraine headaches in both primary (adjusted for age and gender) (odds ratios (OR): 0.51, 95% confidence intervals (CI): 0.33, 0.78) and fully adjusted models (additionally adjusted for body mass index (BMI) and total calories) (adjusted OR: 0.50, 95%CI: 0.32, 0.77). Intriguingly, the odds of migraine headaches were significantly higher in those in the last quantile of "Total Fruits," which is equal to more than 237 g per 1000 kcal (aOR: 2.96, 95%CI: 1.99, 4.41) and "Whole Fruits," which is equal to more than 233 g per 1000 kcal (aOR: 2.90, 95%CI: 1.94, 4.31). Similarly, higher intakes of "Dairy," which is equal to more than 138 g per 1000 kcal (aOR: 2.66, 95%CI: 1.71, 4.14), and "Total Protein Foods," which is equal to more than 259 g per 1000 kcal (aOR: 2.41, 95%CI: 1.58, 3.70), were associated with higher odds of migraine headaches. The current study revealed an indirect association between HEI‐2015 and its components, including "Greens and Beans," "Whole Grains," "Refined Grains," and "Added Sugars" and lower odds of migraine headaches. [ABSTRACT FROM AUTHOR]
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- 2024
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35. Remdesivir-Related Cardiac Adverse Effects in COVID-19 Patients: A Case-Control Study.
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Abedipour, Fatemah, Mirzaei, Hossein Hadavand, Ansari, Hossein, Ehsanzadeh, Neda, Rashki, Amin, Vahedi, Mohammad Mahdi, and Rashki, Asma
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- 2024
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36. A new model for simulation of collection and conveyance sections of Qanat
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Naghedifar, Seyed Mohammadreza, Ziaei, Ali Naghi, Naghedifar, Seyyed Ali, and Ansari, Hossein
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- 2020
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37. Moisture evaluation of OIP bushings using artificial neural networks and dielectric frequency response
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Ansari, Hossein Taghizade, primary and Vahedi, Abolfazl, additional
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- 2024
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38. Neurological features and outcome in COVID-19: dementia can predict severe disease
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Ghaffari, Mehran, Ansari, Hossein, Beladimoghadam, Nahid, Aghamiri, Seyed Hossein, Haghighi, Mehrdad, Nabavi, Mahmoud, Mansouri, Behnam, Mehrpour, Masoud, Assarzadegan, Farhad, Hesami, Omid, Sedaghat, Meghdad, Farahbakhsh, Mohammad, and Lima, Behnam Safarpour
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- 2021
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39. Diagnosis of Moisture Content in Oil-Paper Bushings Using Statistical Indicators Based on Frequency Domain Spectroscopy
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Taghizade Ansari, Hossein, primary, Vahedi, Abolfazl, additional, Khlyupin, Pavel Alexandrovich, additional, and Mahmoudi, Nami, additional
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- 2021
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40. Assessing the moisture content of oil‐impregnated paper bushings with a simple and fast method
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Ansari, Hossein Taghizade, primary and Vahedi, Abolfazl, additional
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- 2023
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41. Bariatric surgery in migraine patients: CGRP level and weight loss
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Deyhimi, Mitra, primary, Etefagh, Helia Hemasian, additional, Shahmiri, Shahab Shahabi, additional, Melali, Hamid, additional, Shahraki, Masoud Sayadi, additional, Ansari, Hossein, additional, and Shahzamani, Arvin, additional
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- 2023
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42. The pattern of gene copy number alteration (CNAs) in hepatocellular carcinoma: an in silico analysis
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Shahrisa, Arman, Tahmasebi-Birgani, Maryam, Ansari, Hossein, Mohammadi, Zahra, Carloni, Vinicio, and Mohammadi Asl, Javad
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- 2021
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43. Numerical analysis and optimization of triggered furrow irrigation system
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Naghedifar, Seyed Mohammadreza, Ziaei, Ali Naghi, and Ansari, Hossein
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- 2020
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44. Studying the effect of a supportive communication techniques program on the quality gap among women who gave birth in local childbirth outposts, south-east Iran
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Moudi, Zahra, Talebi, Behnaz, Faramarzi, Mahbobeh, and Ansari, Hossein
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- 2020
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45. Human health risk assessment of trace elements in drinking tap water in Zahedan city, Iran
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Dashtizadeh, Mohadeseh, Kamani, Hossein, Ashrafi, Seyed Davoud, Panahi, Ayat Hossein, Mahvi, Amir Hossein, Balarak, Davoud, Hoseini, Mohammad, Ansari, Hossein, Bazrafshan, Edris, and Parsafar, Fatemeh
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- 2019
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46. Effect of selenium supplementation on antioxidant markers: a systematic review and meta-analysis of randomized controlled trials
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Hasani, Motahareh, Djalalinia, Shirin, Khazdooz, Maryam, Asayesh, Hamid, Zarei, Maryam, Gorabi, Armita Mahdavi, Ansari, Hossein, Qorbani, Mostafa, and Heshmat, Ramin
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- 2019
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47. Defective mitosis-linked DNA damage response and chromosomal instability in liver cancer
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Tahmasebi-Birgani, Maryam, Ansari, Hossein, and Carloni, Vinicio
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- 2019
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48. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016
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James, Spencer L, Theadom, Alice, Ellenbogen, Richard G, Bannick, Marlena S, Montjoy-Venning, Wcliff, Lucchesi, Lydia R, Abbasi, Nooshin, Abdulkader, Rizwan, Abraha, Haftom Niguse, 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, Alahdab, Fares, Alebel, Animut, Alghnam, Suliman A, Ali, Beriwan Abdulqadir, Alsharif, Ubai, Altirkawi, Khalid, Andrei, Catalina Liliana, Anjomshoa, Mina, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Ariani, Filippo, Asefa, Nigus Gebremedhin, Asgedom, Solomon Weldegebreal, Atique, Suleman, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayuk, Tambe B, Azzopardi, Peter S, Badali, Hamid, Badawi, Alaa, Balalla, Shivanthi, Banstola, Amrit, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Bedi, Neeraj, Behzadifar, Masoud, Behzadifar, Meysam, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Yihalem Abebe, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Beuran, Mircea, Bhalla, Ashish, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biffino, Marco, Bijani, Ali, Bililign, Nigus, Birungi, Charles, Boufous, Soufiane, Brazinova, Alexandra, Brown, Allen W, Car, Mate, Cárdenas, Rosario, Carrero, Juan J, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Catalá-López, Ferrán, Chaiah, Yazan, Champs, Ana Paula, Chang, Jung-Chen, Choi, Jee-Young J, Christopher, Devasahayam J, Cooper, Cyrus, Crowe, Christopher Stephen, Dandona, Lalit, Dandona, Rakhi, Daryani, Ahmad, Davitoiu, Dragos Virgil, Degefa, Meaza Girma, Demoz, Gebre Teklemariam, Deribe, Kebede, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Drake, Thomas M, Dubey, Manisha, Dubljanin, Eleonora, El-Khatib, Ziad, Ofori-Asenso, Richard, Eskandarieh, Sharareh, Esteghamati, Alireza, Esteghamati, Sadaf, Faro, Andre, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Feyissa, Garumma Tolu, Filip, Irina, Fischer, Florian, Fukumoto, Takeshi, Ganji, Morasaleh, Gankpe, Fortune Gbetoho, Gebre, Abadi Kahsu, Gebrehiwot, Tsegaye Tewelde, Gezae, Kebede Embaye, Gopalkrishna, Gururaj, Goulart, Alessandra C, Haagsma, Juanita A, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Hamadeh, Randah R, Hamidi, Samer, Haro, Josep Maria, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hawley, Caitlin, Hay, Simon I, Hegazy, Mohamed I, Hendrie, Delia, Henok, Andualem, Hibstu, Desalegn Tsegaw, Hoffman, Howard J, Hole, Michael K, Homaie Rad, Enayatollah, Hosseini, Seyed Mostafa, Hostiuc, Sorin, Hu, Guoqing, Hussen, Mamusha Aman, Ilesanmi, Olayinka Stephen, Irvani, Seyed Sina Naghibi, Jakovljevic, Mihajlo, Jayaraman, Sudha, Jha, Ravi Prakash, Jonas, Jost B, Jones, Kelly M, Jorjoran Shushtari, Zahra, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Karch, André, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kengne, Andre Pascal, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khalid, Nauman, Khalil, Ibrahim, Khan, Ejaz Ahmad, Khan, Muhammad Shahzeb, Khang, Young-Ho, Khazaie, Habibolah, Khoja, Abdullah T, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kim, Daniel, Kim, Young-Eun, Kisa, Adnan, Koyanagi, Ai, Krohn, Kristopher J, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kumar, G Anil, Kumar, Manasi, Lalloo, Ratilal, Lami, Faris Hasan, Lansingh, Van C, Laryea, Dennis Odai, Latifi, Arman, Leshargie, Cheru Tesema, Levi, Miriam, Li, Shanshan, Liben, Misgan Legesse, Lotufo, Paulo A, Lunevicius, Raimundas, Mahotra, Narayan Bahadur, Majdan, Marek, Majeed, Azeem, Malekzadeh, Reza, Manda, Ana-Laura, Mansournia, Mohammad Ali, Massenburg, Benjamin Ballard, Mate, Kedar K V, Mehndiratta, Man Mohan, Mehta, Varshil, Meles, Hagazi, Melese, Addisu, Memiah, Peter T N, Mendoza, Walter, Mengistu, Getnet, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Miazgowski, Tomasz, Miller, Ted R, Mini, GK, Mirica, Andreea, Mirrakhimov, Erkin M, Moazen, Babak, Mohammadi, Moslem, Mohammed, Shafiu, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Mondello, Stefania, Moosazadeh, Mahmood, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Morrison, Shane Douglas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Murthy, Srinivas, Musa, Kamarul Imran, Mustafa, Ghulam, Naghavi, Mohsen, Naik, Gurudatta, Najafi, Farid, Nangia, Vinay, Nascimento, Bruno Ramos, Negoi, Ionut, Nguyen, Trang Huyen, Nichols, Emma, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nyasulu, Peter S, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Otstavnov, Stanislav S, Owolabi, Mayowa Ojo, P A, Mahesh, Pakhale, Smita, Pandey, Achyut Raj, Pesudovs, Konrad, Pinilla-Monsalve, Gabriel D, Polinder, Suzanne, Poustchi, Hossein, Prakash, Swayam, Qorbani, Mostafa, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Muhammad Aziz, Rai, Rajesh Kumar, Rajati, Fatemeh, Ram, Usha, Rawaf, David Laith, Rawaf, Salman, Reiner, Robert C, Reis, Cesar, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roy, Nobhojit, Ruhago, George Mugambage, Saddik, Basema, Safari, Hosein, Safiri, Saeid, Sahraian, Mohammad Ali, Salamati, Payman, Saldanha, Raphael de Freitas, Samy, Abdallah M, Sanabria, Juan, Santos, João Vasco, Santric Milicevic, Milena M M, Sartorius, Benn, Satpathy, Maheswar, Savuon, Kim, Schneider, Ione J C, Schwebel, David C, Sepanlou, Sadaf G, Shabaninejad, Hosein, Shaikh, Masood A Ali, Shams-Beyranvand, Mehran, Sharif, Mehdi, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, She, Jun, Sheikh, Aziz, Shen, Jiabin, Sheth, Kevin N, Shibuya, Kenji, Shiferaw, Mekonnen Sisay, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shoman, Haitham, Siabani, Soraya, Siddiqi, Tariq J, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Sinha, Dhirendra Narain, Smith, Mari, Soares Filho, Adauto Martins, Sobhani, Soheila, Soofi, Moslem, Soriano, Joan B, Soyiri, Ireneous N, Stein, Dan J, Stokes, Mark A, Sufiyan, Mu'awiyyah Babale, Sunguya, Bruno F, Sunshine, Jacob E, Sykes, Bryan L, Szoeke, Cassandra E I, Tabarés-Seisdedos, Rafael, Te Ao, Braden James, Tehrani-Banihashemi, Arash, Tekle, Merhawi Gebremedhin, Temsah, Mohamad-Hani, Temsah, Omar, Topor-Madry, Roman, Tortajada-Girbés, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tudor Car, Lorainne, Ukwaja, Kingsley Nnanna, Ullah, Irfan, Usman, Muhammad Shariq, Uthman, Olalekan A, Valdez, Pascual R, Vasankari, Tommi Juhani, Venketasubramanian, Narayanaswamy, Violante, Francesco S, Wagnew, Fasil Wagnew Shiferaw, Waheed, Yasir, Wang, Yuan-Pang, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Wijeratne, Tissa, Winkler, Andrea Sylvia, Wyper, Grant M A, Yano, Yuichiro, Yaseri, Mehdi, Yasin, Yasin Jemal, Ye, Pengpeng, Yimer, Ebrahim M, Yip, Paul, Yisma, Engida, Yonemoto, Naohiro, Yoon, Seok-Jun, Yost, Michael G, Younis, Mustafa Z, Yousefifard, Mahmoud, Yu, Chuanhua, Zaidi, Zoubida, Zaman, Sojib Bin, Zamani, Mohammad, Zenebe, Zerihun Menlkalew, Zodpey, Sanjay, Feigin, Valery L, Vos, Theo, and Murray, Christopher J L
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- 2019
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49. Assessing the moisture content of oil‐impregnated paper bushings with a simple and fast method.
- Author
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Ansari, Hossein Taghizade and Vahedi, Abolfazl
- Subjects
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MOISTURE , *SYSTEM safety , *EXPLOSIONS , *TIME measurements , *TRANSFORMER insulation , *DIELECTRICS , *BUSHINGS , *POWER transformers - Abstract
Power outages can cause harm to both society and individual health. Among the crucial elements of power systems, power transformers play a vital role, and their failures can lead to incidents and disruptions. According to statistics, almost 50% of the explosions and fires in the power transformer are caused by oil‐impregnated paper (OIP) bushing failures. Moreover, moisture is a crucial factor that affects the health of OIP bushings, and assessing the moisture level in OIP bushings is vital to guarantee the safety of power systems. While the frequency‐domain dielectric spectroscopy (FDS) method has been widely used to assess the moisture content of OIP bushings on‐site, it has the disadvantage of requiring a long measurement time. Therefore, a novel technique was proposed in this study that involves measuring the OIP bushing dissipation factor (tanδ) at 1 Hz to estimate the moisture content in a significantly shorter time. Five samples of OIP with various moisture levels have been selected, and an equation based on the OIPs' value of tanδ at 1 Hz was proposed to assess the moisture level of OIP bushings. Furthermore, the validity of the proposed method was successfully verified, proving its precision and time efficiency. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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50. Evaluation of Tumor Markers (CEA, CA 15-3, CA 125) in Endometrial Cancer Differentiation and Abnormal Uterine Bleeding.
- Author
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Sasanpour, Pegah, Ghasemi, Marzieh, Nazemian, Maryam, Noori, Narjes, and Ansari, Hossein
- Subjects
T-test (Statistics) ,STATISTICAL sampling ,TUMOR markers ,HOSPITALS ,GLYCOPROTEINS ,DESCRIPTIVE statistics ,ENDOMETRIAL tumors ,UTERINE hemorrhage ,CASE-control method ,MEDICAL records ,TUMOR antigens ,DATA analysis software - Abstract
Background & Objective: Endometrial cancer is the most prevalent type of genital system cancers. It is needed to assess discrimination power of CEA, CA 15-3, CA 125 tumor markers in endometrial cancer patients and moreover in cases with abnormal uterine bleeding. We examined tumor markers (CA 15-3, CA 125, CEA) in differentiating endometrial cancer and unusual uterine bleeding. Materials & Methods: The present case-control study was conducted on 60 women with endometrial cancer and evidence of abnormal uterine bleeding who referred to Ali Ibn Abitaleb Hospital in Zahedan in 2021. The sampling method was easy and accessible and was used to collect observation information, examination, and data form data. For data analysis, SPSS software version 26, statistical graphs and independent ttest were used. Results: The difference in serum levels of CEA marker tumor in patients of case (endometrial cancer patients) and control (abnormal uterine bleeding patients) was statistically significant. Differences in serum levels of CA 15-3 tumor marker in patients between case group (endometrial cancer patients) and control (patients with abnormal uterine bleeding) and difference in serum levels of CA 125 tumor marker in patients between case (endometrial cancer patients) and control groups (bleeding patients) uterine abnormalities were not statistically significant. Conclusion: Serum level of CEA tumor marker has a statistically significant relationship with endometrial cancer patients and abnormal bleeding patients, but serum tumor marker level CA 15-3 and serum tumor marker CA 125 and with endometrial cancer patients and abnormal bleeding patients do not have. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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