Author: "Shankar, M." / Topic: business - Searchworks@Jio Institute Digital Library Search Results

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1. An update on COVID-19: SARS-CoV-2 life cycle, immunopathology, and BCG vaccination

Author: Jyoti Srivastava, Shivraj M. Yabaji, and Shankar M Khade
Subjects: 0106 biological sciences, COVID-19 Vaccines, viruses, Population, medicine.disease_cause, Antiviral Agents, Mass Vaccination, 01 natural sciences, Biochemistry, Immune system, 010608 biotechnology, Immunopathology, Pandemic, Humans, Medicine, education, Pandemics, Coronavirus, education.field_of_study, SARS-CoV-2, 010405 organic chemistry, business.industry, COVID-19, virus diseases, General Medicine, Mycobacterium bovis, COVID-19 Drug Treatment, 0104 chemical sciences, Vaccination, Vaccination policy, Immunology, BCG Vaccine, business, BCG vaccine, Biotechnology
Abstract: The causative agent of novel coronavirus disease (COVID-19) is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The SARS-CoV-2 possesses RNA as a genetic material with 79% of the match with the bat SARS-CoV genome, which became epidemic in 2002. The SARS-CoV-2 peripheral Spike-Fc protein binds specifically to the ACE2 receptors present on bronchial epithelial cells and alveolar pneumocytes to downmodulates its expression which leads to severe acute respiratory failure. The disease is super infectious from human to human and the symptoms are similar to flu. The old aged and immunocompromised population are severely affected, and healthcare providers globally applied various strategies for treatment including the repurposing of drugs including antimalarial drug, hydroxychloroquine and anti-viral drugs.Herein, we described the SARS-CoV-2 pandemic, immune responses, possible drug targets, vaccines under the trials and correlated the possibility of trained immunity induced by BCG vaccination over control of SARS-CoV-2 infection. The countries with constraint BCG vaccination policy are struggling badly compared to countries with BCG vaccination policy. The BCG vaccination policy supports either lowering the total number of COVID-19 cases or the increasing recovery rate.
Published: 2020
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2. Mortality from snakebite envenomation: an analysis from the Global Burden of Disease Study 2019

Author: Mohsen Naghavi, Ali H. Mokdad, Amin Soheili, Félix Carvalho, Catalina Liliana Andrei, M. Mofizul Islam, Davood Anvari, Ali Bijani, Scott Zeng, Richard C. Franklin, Vahid Alipour, Sowmya J. Rao, Virginia Núñez-Samudio, Marcel Ausloos, Hoa Do, Eduarda Fernandes, Archith Boloor, Simon I. Hay, Bach Xuan Tran, Lalit Dandona, Iván Landires, Erin B Hamilton, Syed Haque, Dinh-Toi Chu, Rakhi Dandona, Neeti Kapoor, Cuong Tat Nguyen, Firooz Esmaeilzadeh, Olayinka Stephen Ilesanmi, Atalel Fentahun Awedew, Ahmad Ghashghaee, Vinod C Nayak, Jagnoor Jagnoor, Masood Ali Shaikh, Mohammed Madadin, Khezar Hayat, Navid Manafi, Ashish Bhalla, Francis Monteiro, Venkatesh Maled, Christopher J L Murray, Theo Vos, Emily Johnson, Zhi-Jiang Zhang, Tuomo J. Meretoja, Huong Thanh Nguyen, Robert Reiner, Nicholas L S Roberts, Nithin Kumar, Jalal Arabloo, Anna Aleksandrovna Skryabina, Jagadish Rao Padubidri, Zahiruddin Quazi Syed, Maryam Moradi, Irina Filip, Navid Rabiee, Mark A. Stokes, Mahaveer Golechha, Stephen S Lim, Salman Rawaf, Prateek Rastogi, David C. Schwebel, Marcos Roberto Tovani-Palone, Rekha Thapar, Kanyin Ong, Ritesh G. Menezes, Samer Hamidi, Ravensara S. Travillian, Robert Ancuceanu, Kewal Krishan, Ted R. Miller, Mahalaqua Nazli Khatib, Amir Radfar, Ashish Badiye, Majid Pirestani, David Laith Rawaf, Claudiu Herteliu, Masoud Foroutan, Birhan Gebresillassie Gebregiorgis, Spencer L. James, Nikha Bhardwaj, Fares Alahdab, Vafa Rahimi-Movaghar, Subramanian Senthilkumaran, Tianji Cai, Pankaj Bhardwaj, Roba Khundkar, Diana Zuleika Velazquez, Abhay Gaidhane, Soumyadeep Bhaumik, Xiaochen Dai, Monika Sawhney, Shankar M Bakkannavar, Berhe Gebremichael, G Anil Kumar, Ejaz Ahmad Khan, Amir Abdoli, Aziz Eftekhari, Rosa A. S. Couto, Hai Pham, Marina Pinheiro, Tanuj Kanchan, Abebaw Alemayehu Desta, Abdollah Mohammadian-Hafshejani, Farshad Farzadfar, Valentin Yurievich Skryabin, Lucas Earl, David M. Pigott, Samuel M. Ostroff, Laurie B. Marczak, Amirhossein Sahebkar, and Abdallah M. Samy
Subjects: Burden of disease, medicine.medical_specialty, business.industry, medicine, Intensive care medicine, Envenomation, business
Abstract: Venomous snakebite is an important cause of preventable death. The World Health Organization (WHO) set a goal to halve snakebite mortality by 2030. We used verbal autopsy and vital registration data to model the proportion of venomous animal deaths due to snakes by location, age, year, and sex, and applied these proportions to venomous animal contact mortality estimates from the Global Burden of Disease 2019 study. In 2019, 63,400 people (95% uncertainty interval 38,900–78,600) died globally from snakebites, which was equal to an age-standardized mortality rate (ASMR) of 0.8 deaths (0.5–1.0) per 100,000 and represents a 36% (2–49) decrease in ASMR since 1990. India had the greatest number of deaths in 2019, equal to an ASMR of 4.0 per 100,000 (2.3-5.0). We forecast mortality will continue to decline, but not sufficiently to meet the WHO’s goals. Improved data collection should be prioritized to help target interventions, improve burden estimation, and monitor progress.
Published: 2021
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3. Analysis and Classification of ECG Signal based on Whale Optimization with Compact Multiclass Support Vector Machine

Author: Dharun D, Bhavani K, Priyanka G S, Gowri Shankar M, and Ganesh Babu C
Subjects: Support vector machine, business.industry, Computer science, Dimensionality reduction, Waveform, General pattern, Pattern recognition, Artificial intelligence, Sensitivity (control systems), Ecg signal, business, Isomap, Signal
Abstract: A Non-stationary signal called an electrocardiogram (ECG) is utilized to evaluate the rate of cardiac beats. Doctors can identify potential illnesses by comparing the general pattern and shape of the ECG waveform. Electrocardiogram (ECG) signals are the most often utilized technology in the diagnosis and analysis of arrhythmias. Dimensionality reduction technique like Isomap has been used to minimize the dimensions of the ECG data in this study. Whale Optimization Algorithm (WOA) and Compact Multiclass Support Vector Machine (CMSVM) were being used to classify the dimensionally reduced data. Isomap are classified using WOA+CMSVM, the analysis reveals that a specificity of 96.64%, sensitivity of 92.51% and overall accuracy of 97.69 % are achieved.
Published: 2021
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4. Coordinated Factor Analysis and Water Wave Optimization (WWO) Classifier for Classification of Arrhythmias from ECG Signal

Author: Gowri Shankar M, Priyanka G S, Madhumitha S, Rakshaa Shree M, and Ganesh Babu C
Subjects: Computer science, business.industry, Multifunction cardiogram, Low-pass filter, Pattern recognition, Classifier (linguistics), Preprocessor, cardiovascular diseases, Artificial intelligence, Sensitivity (control systems), High-pass filter, business, Linear filter, Active noise control
Abstract: The Electrocardiogram (ECG) is a bioelectric record of heart activity. ECG signal classification is crucial for heart disease diagnosis. It is difficult to make an appropriate ECG classification. In this study, MIT-BIH Arrhythmia ECG data base from physionet has been used to classify Cardiogram Signals. The very first, raw ECG signal is preprocessed by using noise cancellation (filtering) methods are Adaptive noise cancellation techniques, low pass linear noise cancellation techniques and high pass linear filter. After preprocessing reduces the dimensionality of data by using Coordinated Factor Analysis (CFA) and finally, dimensionally reduced signals are classified by using Water Wave Optimization (WWO) classifier. The Performance metrics like Performance Index, Accuracy, Sensitivity, and Specificity are evaluated using WWO to analyze the classification of arrhythmias from ECG signals.
Published: 2021
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5. Histopathological Spectrum of Ovarian Tumors: A 3-Year Retrospective Study in a Tertiary Care Centre in Southern India

Author: Shankar M Bakkannavar, Manna Valiathan, Muralidhar V. Pai, Anugnya P Ranjoalkar, Kanthilatha Pai, and Swati Sharma
Subjects: Pediatrics, medicine.medical_specialty, business.industry, Medicine, Retrospective cohort study, business, Tertiary care, Pathology and Forensic Medicine
Published: 2020
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6. Cyto-Histologic Correlation in Hashimoto’s/ Lymphocytic Thyroiditis With Emphasis on Genetics of Autoimmune Thyroiditis

Author: Shankar M Bakkannavar, Mary Mathew, Swati Sharma, Kanthilatha Pai, and Ashish Gupta
Subjects: Autoimmune thyroiditis, Pathology, medicine.medical_specialty, business.industry, Medicine, business, medicine.disease, Histological correlation, Lymphocytic Thyroiditis, Pathology and Forensic Medicine
Published: 2020
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7. Granulomatous Mastitis — Clinicopathological Review of 38 Cases: A 3 Year Study with a Brief Review of Literature

Author: Shankar M Bakkannavar, Swati Sharma, Manna Valiathan, and Riti Bhattacharya
Subjects: medicine.medical_specialty, business.industry, medicine, Granulomatous mastitis, business, medicine.disease, Dermatology, Pathology and Forensic Medicine
Published: 2020
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8. Performance Analysis for Arrhythmia Classification using PSO, GWO and SVM

Author: Haris Mita J, Gowri Shankar M, and Ganesh Babu C
Subjects: 0303 health sciences, Heartbeat, Computer science, business.industry, Wavelet transform, Particle swarm optimization, Cardiac arrhythmia, Pattern recognition, 02 engineering and technology, Reduction (complexity), Support vector machine, 03 medical and health sciences, ComputingMethodologies_PATTERNRECOGNITION, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), 020201 artificial intelligence & image processing, Sensitivity (control systems), Artificial intelligence, business, 030304 developmental biology
Abstract: Proper heart rate or heart rhythm leads to healthy lifestyle. Improper heart rhythm means heartbeat will be sometimes too fast or too slow. Such preternatural condition of heart is named as Cardiac arrhythmia. Arrhythmia occurs when there is no proper working of electrical impulses present in the heart. An earlier detection of irregular heart rhythm is necessary in order to rescue ones survival. Classification of arrhythmia is needed for diagnosis. This paper confers the Principle component analysis as feature reduction process to reduce high dimensional input without influencing classification methods and two classification techniques such as Particle swarm optimization (PSO), Grey wolf optimizer (GWO) and Support Vector Machine (SVM). Performance Analysis for these three techniques is compared where it is used to classify various arrhythmias. The result explores the performance metrics for PSO, GWO, SVM and also integration of two methods such as PSO with SVM, GWO with SVO and shows that GWO integrated with SVM has 99.89% accuracy and performance better than other algorithms.
Published: 2021
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9. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: William M. Gardner, Rawlance Ndejjo, Govinda Prasad Dhungana, Fereshteh Ansari, Kathleen Pillsbury Hopf, João Pedro Silva, M. Mofizul Islam, Cong Zhu, Abdul Hafiz, Irmina Maria Michalek, Syed Mohamed Aljunid, Leonardo Roever, Mustefa Glagn, Davood Anvari, Tessa M. Pilz, Sameer Vali Gopalani, Joel M. Francis, Man Mohan Mehndiratta, Rakhi Dandona, Abbas Sheikhtaheri, Mansour Ghafourifard, Simon Øverland, David Laith Rawaf, Jaykaran Charan, Akram Pourshams, Mostafa Dianatinasab, Morteza Mahmoudi, Alton Lu, Alyssa N. Sbarra, Lorainne Tudor Car, Franz Castro, Hafiz Ansar Rasul Suleria, Luca Ronfani, Marina Pinheiro, Mehran Asadi-Aliabadi, Maziar Moradi-Lakeh, Hoa Thi Do, Whitney L. Teagle, Sofia Androudi, Carl Abelardo T. Antonio, Myron Anthony Godinho, Bhaskaran Unnikrishnan, Oluchi Ezekannagha, Getinet Ayano, Seyyed Shamsadin Athari, Dimas Ria Angga Pribadi, Kyle E. Simpson, Muluken Bekele Sorrie, Vivekanand Jha, Chukwuma David Umeokonkwo, Akshaya Srikanth Bhagavathula, Cuong Tat Nguyen, Amr Hassan, Akine Eshete Abosetugn, Hailay Abrha Gesesew, Anna V. Korotkova, Brijesh Sathian, Marcello Tonelli, Olatunde Aremu, Mohammad Reza Salahshoor, Juan Jesus Carrero, Cameron J. Kneib, Ravi Prakash Jha, David H. Shaw, Hossein Samadi Kafil, Tanuj Kanchan, Khezar Hayat, Hamid Sharifi, Morteza Shamsizadeh, Muktar Omer Omer, Fatemeh Amiri, Hamidreza Pazoki Toroudi, David Edvardsson, Xiu Ju George Zhao, Hannah Han, Leticia Avila-Burgos, Adam E. Berman, Jemal Abdu Mohammed, Thomas Pilgrim, Leila Doshmangir, Mu'awiyyah Babale Sufiyan, David M. Pigott, Hadi Hassankhani, Beatriz Paulina Ayala Quintanilla, Teklemariam Gultie, Arash Ziapour, Seyed Sina Naghibi Irvani, Ilse N. Dippenaar, Jean Jacques Noubiap, Emmanuela Gakidou, Abiyu Mekonnen Gebrehiwot, Maha El Tantawi, Xuefeng Liu, Zulfiqar A. Bhutta, Keyghobad Ghadiri, João Mauricio Castaldelli-Maia, Behzad Karami Matin, Yunquan Zhang, Vera Marisa Costa, Iyad Sultan, Mostafa Hosseini, Abdulaziz Khalid Abu Haimed, Haidong Wang, Kaleab Alemayehu Zewdie, Celine M. Barthelemy, Hosna Janjani, Bartosz Miazgowski, Jobert Richie Nansseu, Arianna Maever L. Amit, John S. Ji, Ata Rafiee, Maria Inês Schmidt, Alireza Rafiei, Somayeh Bohlouli, Joana Morgado-da-Costa, Huong Lan Thi Nguyen, Pradyumna Agasthi, Tiffany K. Gill, Martin McKee, Khaled Khatab, Jae Il Shin, Animut Tagele Tamiru, Giancarlo Logroscino, Hassan Abolhassani, Syed Saoud Zaidi, Sivan Yegnanarayana Iyer Saraswathy, Garumma Tolu Feyissa, Ahmad Daryani, Ziyad Al-Aly, Gebreamlak Gebremedhn Gebremeskel, Michael T. Chung, Amirhossein Sahebkar, Mehedi Hasan, Saeed Shahabi, Diep Ngoc Nguyen, Yohannes Kinfu, Nicholas L S Roberts, Jagadish Rao Padubidri, Mika Shigematsu, Lucero Cahuana-Hurtado, Deepa Jahagirdar, Islam Y. Elgendy, Erkin M. Mirrakhimov, Tanvir M. Huda, Fakher Rahim, Dara K. Mohammad, Yingxi Zhao, Ruxandra Irina Negoi, Vinod C. Nayak, Reinhard Busse, Andrew T. Leever, Muhammad Aziz Rahman, Kathryn Mei Ming Lau, Stefania Mondello, Vivian Chia-Rong Hsieh, Kris J. Krohn, Reza Rawassizadeh, Vishnu Renjith, Jianing Ma, Moses K. Muriithi, Mark G. Shrime, Mayowa O. Owolabi, Nobuyuki Horita, Seyed Hossein Yahyazadeh Jabbari, Daniel Y. Cho, Miloje Savic, Moslem Soofi, Iqbal R. F. Elyazar, Freweini Gebrearegay G. Tela, Jonathan F. Mosser, Palash Chandra Banik, Andre Rodrigues Duraes, Yuan-Pang Wang, Natalie C. Galles, Rashid Abdi Guled, Abdallah M. Samy, Hadi Pourjafar, Roman Topor-Madry, Ayesha Humayun, Leila Zaki, Nuworza Kugbey, Maryam Khayamzadeh, Naznin Hossain, Jiregna Darega Gela, Jordi Alonso, Ruth W Kimokoti, A. A. Fomenkov, Jalal Arabloo, Aletta E. Schutte, Biruk Wogayehu Taddele, Teklehaimanot Gereziher Haile, Diego Augusto Santos Silva, Seyed Mohammad Kazem Aghamir, Maciej Banach, Deanna Anderlini, Moses J. Bockarie, Saleem Muhammad Rana, Randah R. Hamadeh, Farhad Islami, Olalekan A. Uthman, S. Mohammad Sajadi, Francisco Rogerlândio Martins-Melo, Shankar M Bakkannavar, Kairat Davletov, Soraya Seedat, Alan D. Lopez, Masoud Behzadifar, Benjamin B. Massenburg, Santosh Varughese, Ingan Ukur Tarigan, Amin Soheili, Félix Carvalho, Yun Jin Kim, Catalina Liliana Andrei, Caleb Mackay Salpeter Irvine, Mojgan Gitimoghaddam, G Anil Kumar, Rasmus J. Havmoeller, Hiroyasu Iso, Atte Meretoja, Yasir Waheed, João M. Furtado, Christian Razo, Neeti Kapoor, Mowafa Househ, Rajaa Al-Raddadi, Mohammad Khammarnia, Santi Martini, Feng Sha, Marco Vacante, Jacek A. Kopec, Hunduma Amensisa Bojia, Jacob Olusegun Olusanya, Kate E. LeGrand, Nikolay Ivanovich Briko, Robert S. Bernstein, Arun Balachandran, Davoud Adham, Ahad Bakhtiari, Shafiu Mohammed, Leake G. Gebremeskel, Smita Pakhale, Ejaz Ahmad Khan, Daniel Cury Ribeiro, Yousef Mohammad, Bernhard T. Baune, Azeem Majeed, Luis Camera, Mohammad Ali Jahani, Hasan Yusefzadeh, Rahman Shiri, Massimo Cirillo, Nikita Otstavnov, Vahid Yazdi-Feyzabadi, Paolo Lauriola, Irfan Ullah, Aruna M Kamath, Maryam Mirzaei, Zabihollah Yousefi, Iman El Sayed, Mohammad Farahmand, Yetunde O. John-Akinola, Khem Narayan Pokhrel, Felix Akpojene Ogbo, Megan Knight, Nelson J. Alvis-Zakzuk, Teferi Mekonnen, Iván Landires, Robert G. Weintraub, Chukwudi A Nnaji, Lauren E. Schaeffer, Paulo A. Lotufo, Mehdi Naderi, Tomislav Mestrovic, André Faro, Mohsen Bayati, Raffaele Palladino, Shahin Soltani, Vladimir Andreevich Korshunov, Birhanu Geta Meharie, Mihajlo Jakovljevic, Abdiwahab Hashi, Olatunji O. Adetokunboh, Dejana Braithwaite, Sergio I. Prada, Bárbara Niegia Garcia de Goulart, Reza Pourmirza Kalhori, Jee-Young Jasmine Choi, Ernoiz Antriyandarti, Ronny Westerman, Meghdad Pirsaheb, Paul S. F. Yip, Mehdi Mirzaei-Alavijeh, Gebremariam Woldu, Rashmi Gupta, Onome Bright Oghenetega, Shane D. Morrison, Inga Dora Sigfusdottir, Marcel Ausloos, Mehdi Hosseinzadeh, Marcos Roberto Tovani-Palone, K M Shivakumar, Alireza Ansari-Moghaddam, Archith Boloor, Aidin Abedi, Binyam Minuye Birihane, Mohammad Ali Mansournia, Nihad A. Almasri, Simachew Animen Bante, Carlo Eduardo Medina-Solís, Leeberk Raja Inbaraj, Edgar Denova-Gutiérrez, Antonio Biondi, Valentin Yurievich Skryabin, Srinivasa Vittal Katikireddi, Sarika Chaturvedi, Francesco Saverio Violante, Abhay Gaidhane, George A. Mensah, Naohiro Yonemoto, Ahmad Ghashghaee, Ebrahim Babaee, Saman Esmaeilnejad, Sharath Burugina Nagaraja, Avina Vongpradith, Javad Nazari, Amir Khater, Michael K. Hole, Ben Lacey, Razique Anwer, Łukasz Szumowski, Ai Koyanagi, Rajesh Sagar, Ali Rajabpour-Sanati, Seyed M Karimi, Yordanos Gizachew Yeshitila, Mona Pathak, Nithin Kumar, Masoud Foroutan, Mehdi Fazlzadeh, Anusha Ganapati Bhat, Abbas Mosapour, Kebede Deribe, Nermin Ghith, Vaman Kulkarni, Sanjay Zodpey, Asadollah Gholamian, Mohammed Shannawaz, Nancy Fullman, Benn Sartorius, Giulio Castelpietra, Ghulam Mustafa, Silvia Schiavolin, Nelson Alvis-Guzman, Jeffrey D. Stanaway, Rafael Lozano, Christopher J L Murray, Guoqing Hu, Andrew M. Briggs, Ashish Badiye, Yousef Khader, Masoud Moghadaszadeh, Rahmatollah Moradzadeh, Valery L. Feigin, Claudia I. Mastrogiacomo, Emma Smith, Yasser Vasseghian, Saeed Amini, Asif Hanif, Achala Upendra Jayatilleke, Maryam Adabi, Sarah Wulf Hanson, Bhaskar Thakur, Ravi Mehrotra, Virginia Núñez-Samudio, Lalit Dandona, Segun Emmanuel Ibitoye, Simon I. Hay, Kiirithio N. Ngari, Obinna Onwujekwe, Deborah Carvalho Malta, Lorenzo Monasta, Neda Kianipour, Khurshid Alam, Luisa Sorio Flor, Priya Rathi, Ali Bijani, Khalid A Altirkawi, Jaimie Adelson, Hamed Zandian, Frank Tanser, Dharmesh Kumar Lal, John Everett Mumford, Morteza Oladnabi, Telma Zahirian Moghadam, Rodrigo Sarmiento-Suárez, Masoud Moradi, Maseer Khan, Mohammad Ali Sahraian, Amy E. Peden, Dhirendra N Sinha, Shanshan Li, Shailesh Advani, Behshad Naghshtabrizi, Matilde Leonardi, Lope H Barrero, Nicholas Steel, Dinh-Toi Chu, Claudio Alberto Dávila-Cervantes, Pushpendra Singh, Adrian Otoiu, Fabrizio Tediosi, Yonas Getaye Tefera, Pawan Faris, George C. Patton, Christopher Troeger, Mohammed Madadin, Jeffrey V. Lazarus, Paul H. Lee, Mohammad Amin Bahrami, Wondimeneh Shibabaw Shiferaw, Emmanuel Wandera Okunga, Biniyam Sahiledengle Geberemariyam, Samer Hamidi, Young-Ho Khang, Rufus Akinyemi, Farhad Jadidi-Niaragh, Godfrey Mutashambara Rwegerera, Naser Mohammad Gholi Mezerji, Rupak Desai, Eduardo Bernabé, Jamal A. Yearwood, Nima Rezaei, Emerito Jose A. Faraon, Vasily Vlassov, Stanislav S. Otstavnov, Reed J D Sorensen, Elena V. Gnedovskaya, Johan Ärnlöv, Mukhammad David Naimzada, Tahereh Javaheri, Tamer H. Farag, Paolo Cortesi, Gbenga A. Kayode, Lucas Guimarães Abreu, Manu Raj Mathur, Getie Lake Aynalem, Narayanaswamy Venketasubramanian, Doris V.V. Ortega-Altamirano, Giorgia Giussani, Liliana G Ciobanu, Suraj Bhattarai, Basema Saddik, Mustafa Z. Younis, Ensiyeh Jenabi, Ira Martopullo, Mohamed M. Gad, Kanyin L. Ong, Addisu Melese, Fotis Topouzis, Hanne Christensen, In-Hwan Oh, Arash Sarveazad, Shuhei Nomura, Peter Memiah, Sergej M. Ostojic, Santosh Kumar Tadakamadla, Dinesh Bhandari, Ahmed Omar Bali, Farahnaz Joukar, Arielle Wilder Eagan, Emma Elizabeth Spurlock, Ferrán Catalá-López, Caroline Stein, Jonathan M. Kocarnik, Stephen S Lim, Siamak Sabour, Kelly Compton, Shoaib Hassan, Rannveig Sigurvinsdottir, Claudiu Herteliu, Aso Mohammad Darwesh, Muluken Altaye Ayza, Angela Y. Chang, Leila R Kalankesh, Rafael Alves Guimarães, Abdollah Mohammadian-Hafshejani, Lal B. Rawal, Soewarta Kosen, Degena Bahrey Tadesse, Theo Vos, Paula Moraga, Soheil Hassanipour, Abdelrahman Ibrahim Abushouk, Oladimeji Adebayo, Mikk Jürisson, Tuomo J. Meretoja, Ireneous N. Soyiri, Carlo La Vecchia, Khalil Eskandari, Aziz Sheikh, Jagdish Khubchandani, James Leigh, Morteza Arab-Zozani, Sheikh Mohammed Shariful Islam, Stefan Kohler, Olayinka Stephen Ilesanmi, Kazumasa Yamagishi, Michele Romoli, Jasvinder A. Singh, Neeraj Bedi, Ivo Iavicoli, Alyssa Pennini, Subas Neupane, Emmanuel Peprah, Sojib Bin Zaman, Marwa Rashad Salem, Mohammed Ibrahim Mohialdeen Gubari, Ramesh Holla, Bayisa Abdissa Baye, Robert Ancuceanu, Eduarda Fernandes, Chandrashekhar T Sreeramareddy, Ettore Beghi, Quique Bassat, B Reshmi, Masood Ali Shaikh, Ionut Negoi, Peter Azzopardi, Florian Fischer, Kerem Shuval, Sorin Hostiuc, Hmwe H Kyu, Ver Bilano, Siddhesh Zadey, Davide Rasella, Vahid Alipour, Sowmya J. Rao, Radoslaw Sierpinski, Irina Filip, Michelle L. Bell, Malke Asaad, Ravensara S. Travillian, Christopher R. Cederroth, Rafael Tabarés-Seisdedos, Ashkan Afshin, Saqib Ali, Mahalaqua Nazli Khatib, Saad M.A. Dahlawi, Hedayat Abbastabar, Zahid A Butt, Sagun Paudel, Vahid Rashedi, B. Suresh Kumar Shetty, Thomas R. Hird, Shokofeh Maleki, Atif Amin Baig, Reza Heidari-Soureshjani, Shaun Wen Huey Lee, Jorge R. Ledesma, Ai-Min Wu, Fablina Sharara, Zemenu Tadesse Tessema, Ratilal Lalloo, Rohollah Kalhor, Rosario Cárdenas, Amir Radfar, Salime Goharinezhad, Fereshteh Mehri, Katarzyna Kissimova-Skarbek, Spencer A. Pease, Diana Silva, Amir Hossein Goudarzian, Samath D Dharmaratne, Darshan B B, Mariya Vladimirovna Titova, Dickson A. Amugsi, Lee Ling Lim, Agegnehu Bante, Charles D.A. Wolfe, Majid A Almadi, Seyed Mohammad Riahi, Nader Jahanmehr, Yuming Guo, Tauseef Ahmad, Platon D. Lopukhov, Takahiro Tabuchi, Nicholas J Kassebaum, Jacek Jerzy Jozwiak, Ritesh G. Menezes, Giovanni Damiani, Delia Hendrie, Mostafa Amini-Rarani, Sanjay Basu, Mohammad Hossein Bakhshaei, Gholamreza Roshandel, Borhan Mansouri, Enrico Rubagotti, Anurag Agrawal, Alireza Esteghamati, Paramjit Gill, Graeme J. Hankey, Mikhail Sergeevich Zastrozhin, Nima Hafezi-Nejad, Bruce Bartholow Duncan, Silvano Gallus, Jeevan Pereira, Ahamarshan Jayaraman Nagarajan, Giulia Carreras, Fariba Dorostkar, Pietro Ferrara, Andrea Farioli, Christoph Nowak, Ahmed I. Hasaballah, Vijay Kumar Chattu, Bolajoko O. Olusanya, Perminder S. Sachdev, Era Upadhyay, Tommi Vasankari, Susan M Sawyer, Adnan Kisa, Farshad Pourmalek, Kiomars Sharafi, Golnaz Heidari, Mohammad Abdollahi, Georges Nguefack-Tsague, Sajid Hameed, Sanni Yaya, Bach Xuan Tran, Ole Frithjof Norheim, Robert Kaba Alhassan, Morenike Oluwatoyin Folayan, Ismail Tareque, Phetole Walter Mahasha, Kewal Krishan, Soraya Siabani, Aleksandr Y. Aravkin, Helena Ullyartha Pangaribuan, Maryam Zamanian, Joshua A. Salomon, Bianca S. Zlavog, Vinay Nangia, Falk Schwendicke, Takeshi Fukumoto, Hung Chak Ho, Jordan Weiss, Maha Atout, Tariku Tesfaye Bekuma, Efat Mohamadi, Nikolaos Dervenis, Joan B. Soriano, Syed Amir Gilani, Victor Adekanmbi, Marina Karanikolos, Alberto Raggi, Michael R.M. Abrigo, Weijia Fu, Reza Shirkoohi, Aditya Prasad Dash, Peng Jia, Masoumeh Sadeghi, Ashraf Nabhan, Isabela M. Benseñor, Morteza Jafarinia, Joht Singh Chandan, Usman Iqbal, Amira Shaheen, Deepak Saxena, Lauren B. Wilner, Nataliya A. Foigt, Jeadran N. Malagón-Rojas, David C. Schwebel, Gail Davey, Milena Ilic, Josep Maria Haro, Peter Njenga Keiyoro, Stein Emil Vollset, Andrea Werdecker, Zahiruddin Quazi Syed, Yared Asmare Aynalem, Entezar Mehrabi Nasab, Yihun Mulugeta Alemu, Muhammad Ali, Mona M. Khater, Ehsan Sadeghi, Thirunavukkarasu Sathish, Pascual R. Valdez, Jennifer Rickard, Mark A. Stokes, Davide Sattin, Ewerton Cousin, Oliver J. Brady, Krittika Bhattacharyya, Mika Kivimäki, Andrew T Olagunju, Jost B. Jonas, Dian Kusuma, Goura Kishor Rath, Alberto Ortiz, Samad Azari, Nayu Ikeda, James L. 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Peng, Zhu, Cong, Ziapour, Arash, Zlavog, Bianca S, Zodpey, Sanjay, Murray, Christopher J L, Lacey, B, Sartorius, B, Sálfræðideild (HR), Department of Psychology (RU), Samfélagssvið (HR), School of Social Sciences (RU), Háskólinn í Reykjavík, Reykjavik University, Lozano, R, Fullman, N, Mumford, J, Knight, M, Barthelemy, C, Abbafati, C, Abbastabar, H, Abd-Allah, F, Abdollahi, M, Abedi, A, Abolhassani, H, Abosetugn, A, Abreu, L, Abrigo, M, Abu Haimed, A, Abushouk, A, Adabi, M, Adebayo, O, Adekanmbi, V, Adelson, J, Adetokunboh, O, Adham, D, Advani, S, Afshin, A, Agarwal, G, Agasthi, P, Aghamir, S, Agrawal, A, Ahmad, T, Akinyemi, R, Alahdab, F, Al-Aly, Z, Alam, K, Albertson, S, Alemu, Y, Alhassan, R, Ali, M, Ali, S, Alipour, V, Aljunid, S, Alla, F, Almadi, M, Almasi, A, Almasi-Hashiani, A, Almasri, N, Al-Mekhlafi, H, Almulhim, A, Alonso, J, Al-Raddadi, R, Altirkawi, K, Alvis-Guzman, N, Alvis-Zakzuk, N, Amini, S, Amini-Rarani, M, Amiri, F, Amit, A, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, C, Androudi, S, Ansari, F, Ansari-Moghaddam, A, Antonio, C, Antony, C, Antriyandarti, E, Anvari, D, Anwer, R, Arabloo, J, Arab-Zozani, M, Aravkin, A, Aremu, O, Ärnlöv, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, A, Ashbaugh, C, Athari, S, Atout, M, Ausloos, M, Avila-Burgos, L, Ayala Quintanilla, B, Ayano, G, Ayanore, M, Aynalem, Y, Aynalem, G, Ayza, M, Azari, S, Azzopardi, P, B, D, Babaee, E, Badiye, A, Bahrami, M, Baig, A, Bakhshaei, M, Bakhtiari, A, Bakkannavar, S, Balachandran, A, Balassyano, S, Banach, M, Banerjee, S, Banik, P, Bante, A, Bante, S, Barker-Collo, S, Bärnighausen, T, Barrero, L, Bassat, Q, Basu, S, Baune, B, Bayati, M, Baye, B, Bedi, N, Beghi, E, Behzadifar, M, Bekuma, T, Bell, M, Bensenor, I, Berman, A, Bernabe, E, Bernstein, R, Bhagavathula, A, Bhandari, D, Bhardwaj, P, Bhat, A, Bhattacharyya, K, Bhattarai, S, Bhutta, Z, Bijani, A, Bikbov, B, Bilano, V, Biondi, A, Birihane, B, Bockarie, M, Bohlouli, S, Bojia, H, Bolla, S, Boloor, A, Brady, O, Braithwaite, D, Briant, P, Briggs, A, Briko, N, Burugina Nagaraja, S, Busse, R, Butt, Z, Caetano dos Santos, F, Cahuana-Hurtado, L, Cámera, L, Cárdenas, R, Carreras, G, Carrero, J, Carvalho, F, Castaldelli-Maia, J, Castañeda-Orjuela, C, Castelpietra, G, Castro, F, Catalá-López, F, Causey, K, Cederroth, C, Cercy, K, Cerin, E, Chandan, J, Chang, A, Charan, J, Chattu, V, Chaturvedi, S, Chin, K, Cho, D, Choi, J, Christensen, H, Chu, D, Chung, M, Ciobanu, L, Cirillo, M, Comfort, H, Compton, K, Cortesi, P, Costa, V, Cousin, E, Dahlawi, S, Damiani, G, Dandona, L, Dandona, R, Darega Gela, J, Darwesh, A, Daryani, A, Dash, A, Davey, G, Dávila-Cervantes, C, Davletov, K, De Neve, J, Denova-Gutiérrez, E, Deribe, K, Dervenis, N, Desai, R, Dharmaratne, S, Dhungana, G, Dianatinasab, M, Dias da Silva, D, Diaz, D, Dippenaar, I, Do, H, Dorostkar, F, Doshmangir, L, Duncan, B, Duraes, A, Eagan, A, Edvardsson, D, El Sayed, I, El Tantawi, M, Elgendy, I, Elyazar, I, Eskandari, K, Eskandarieh, S, Esmaeilnejad, S, Esteghamati, A, Ezekannagha, O, Farag, T, Farahmand, M, Faraon, E, Farinha, C, Farioli, A, Faris, P, Faro, A, Fazlzadeh, M, Feigin, V, Fernandes, E, Ferrara, P, Feyissa, G, Filip, I, Fischer, F, Fisher, J, Flor, L, Foigt, N, Folayan, M, Fomenkov, A, Foroutan, M, Francis, J, Fu, W, Fukumoto, T, Furtado, J, Gad, M, Gaidhane, A, Gakidou, E, Galles, N, Gallus, S, Gardner, W, Geberemariyam, B, Gebrehiwot, A, Gebremeskel, L, Gebremeskel, G, Gesesew, H, Ghadiri, K, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamian, A, Gilani, S, Gill, P, Gill, T, Ginindza, T, Gitimoghaddam, M, Giussani, G, Glagn, M, Gnedovskaya, E, Godinho, M, Goharinezhad, S, Gopalani, S, Goudarzian, A, Goulart, B, Gubari, M, Guimarães, R, Guled, R, Gultie, T, Guo, Y, Gupta, R, Hafezi-Nejad, N, Hafiz, A, Haile, T, Hamadeh, R, Hameed, S, Hamidi, S, Han, C, Han, H, Handiso, D, Hanif, A, Hankey, G, Haro, J, Hasaballah, A, Hasan, M, Hashi, A, Hassan, S, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Heidari-Soureshjani, R, Hendrie, D, Herteliu, C, Hird, T, Ho, H, Hole, M, Holla, R, Hollingsworth, B, Hoogar, P, Hopf, K, Horita, N, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsieh, V, Hu, G, Huda, T, Humayun, A, Hwang, B, Iavicoli, I, Ibitoye, S, Ikeda, N, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Iqbal, U, Irvani, S, Irvine, C, Islam, M, Islam, S, Islami, F, Iso, H, Iwu, C, Jaafari, J, Jadidi-Niaragh, F, Jafarinia, M, Jahagirdar, D, Jahani, M, Jahanmehr, N, Jakovljevic, M, Janjani, H, Javaheri, T, Jayatilleke, A, Jenabi, E, Jha, R, Jha, V, Ji, J, Jia, P, John-Akinola, Y, Jonas, J, Joukar, F, Jozwiak, J, Jürisson, M, Kabir, Z, Kalankesh, L, Kalhor, R, Kamath, A, Kanchan, T, Kapoor, N, Karami Matin, B, Karanikolos, M, Karimi, S, Kassebaum, N, Katikireddi, S, Kayode, G, Keiyoro, P, Khader, Y, Khammarnia, M, Khan, M, Khan, E, Khang, Y, Khatab, K, Khater, A, Khater, M, Khatib, M, Khayamzadeh, M, Khubchandani, J, Kianipour, N, Kim, Y, Kimokoti, R, Kinfu, Y, Kisa, A, Kissimova-Skarbek, K, Kivimäki, M, Kneib, C, Kocarnik, J, Kochhar, S, Kohler, S, Kopec, J, Korotkova, A, Korshunov, V, Kosen, S, Kotlo, A, Koul, P, Koyanagi, A, Krishan, K, Krohn, K, Kugbey, N, Kulkarni, V, Kumar, G, Kumar, N, Kumar, M, Kurmi, O, Kusuma, D, Kyu, H, La Vecchia, C, Lal, D, Lalloo, R, Landires, I, Lansingh, V, Larsson, A, Lasrado, S, Lau, K, Lauriola, P, Lazarus, J, Ledesma, J, Lee, P, Lee, S, Leever, A, Legrand, K, Leigh, J, Leonardi, M, Li, S, Lim, S, Lim, L, Liu, X, Logroscino, G, Lopez, A, Lopukhov, P, Lotufo, P, Lu, A, Ma, J, Madadin, M, Mahasha, P, Mahmoudi, M, Majeed, A, Malagón-Rojas, J, Maleki, S, Malta, D, Mansouri, B, Mansournia, M, Martini, S, Martins-Melo, F, Martopullo, I, Massenburg, B, Mastrogiacomo, C, Mathur, M, Mcalinden, C, Mckee, M, Medina-Solís, C, Meharie, B, Mehndiratta, M, Mehrabi Nasab, E, Mehri, F, Mehrotra, R, Mekonnen, T, Melese, A, Memiah, P, Mendoza, W, Menezes, R, Mensah, G, Meretoja, T, Meretoja, A, Mestrovic, T, Miazgowski, B, Michalek, I, Mirrakhimov, E, Mirzaei, M, Mirzaei-Alavijeh, M, Mitchell, P, Moazen, B, Moghadaszadeh, M, Mohamadi, E, Mohammad, Y, Mohammad, D, Mohammad Gholi Mezerji, N, Mohammadian-Hafshejani, A, Mohammed, S, Mohammed, J, Mokdad, A, Monasta, L, Mondello, S, Moradi, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morgado-da-Costa, J, Morrison, S, Mosapour, A, Mosser, J, Mousavi Khaneghah, A, Muriithi, M, Mustafa, G, Nabhan, A, Naderi, M, Nagarajan, A, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Nangia, V, Nansseu, J, Nayak, V, Nazari, J, Ndejjo, R, Negoi, I, Negoi, R, Neupane, S, Ngari, K, Nguefack-Tsague, G, Ngunjiri, J, Nguyen, C, Nguyen, D, Nguyen, H, Nnaji, C, Nomura, S, Norheim, O, Noubiap, J, Nowak, C, Nunez-Samudio, V, Otoiu, A, Ogbo, F, Oghenetega, O, Oh, I, Okunga, E, Oladnabi, M, Olagunju, A, Olusanya, J, Olusanya, B, Oluwasanu, M, Omar Bali, A, Omer, M, Ong, K, Onwujekwe, O, Ortega-Altamirano, D, Ortiz, A, Ostojic, S, Otstavnov, N, Otstavnov, S, Øverland, S, Owolabi, M, Padubidri, J, Pakhale, S, Palladino, R, Pana, A, Panda-Jonas, S, Pangaribuan, H, Pathak, M, Patton, G, Paudel, S, Pazoki Toroudi, H, Pease, S, Peden, A, Pennini, A, Peprah, E, Pereira, J, Pigott, D, Pilgrim, T, Pilz, T, Pinheiro, M, Piradov, M, Pirsaheb, M, Pokhrel, K, Postma, M, Pourjafar, H, Pourmalek, F, Pourmirza Kalhori, R, Pourshams, A, Prada, S, Pribadi, D, Pupillo, E, Quazi Syed, Z, Radfar, A, Rafiee, A, Rafiei, A, Raggi, A, Rahim, F, Rahman, M, Rajabpour-Sanati, A, Rana, S, Ranabhat, C, Rao, S, Rasella, D, Rashedi, V, Rath, G, Rathi, P, Rawaf, S, Rawaf, D, Rawal, L, Rawassizadeh, R, Razo, C, Renjith, V, Renzaho, A, Reshmi, B, Rezaei, N, Riahi, S, Ribeiro, D, Rickard, J, Roberts, N, Roever, L, Romoli, M, Ronfani, L, Roshandel, G, Rubagotti, E, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, M, Sadeghi, E, Safari, Y, Sagar, R, Sahebkar, A, Sahraian, M, Sajadi, S, Salahshoor, M, Salem, M, Salem, H, Salomon, J, Samadi Kafil, H, Samy, A, Sanabria, 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M, Tarigan, I, Teagle, W, Tediosi, F, Tefera, Y, Tela, F, Tessema, Z, Thakur, B, Titova, M, Tonelli, M, Topor-Madry, R, Topouzis, F, Tovani-Palone, M, Tran, B, Travillian, R, Troeger, C, Tudor Car, L, Uddin, R, Ullah, I, Umeokonkwo, C, Unnikrishnan, B, Upadhyay, E, Uthman, O, Vacante, M, Valdez, P, Varughese, S, Vasankari, T, Vasseghian, Y, Venketasubramanian, N, Violante, F, Vlassov, V, Vollset, S, Vongpradith, A, Vos, T, Waheed, Y, Walters, M, Wamai, R, Wang, H, Wang, Y, Weintraub, R, Weiss, J, Werdecker, A, Westerman, R, Wilner, L, Woldu, G, Wolfe, C, Wu, A, Wulf Hanson, S, Xie, Y, Xu, R, Yahyazadeh Jabbari, S, Yamagishi, K, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yearwood, J, Yeshitila, Y, Yip, P, Yonemoto, N, Younis, M, Yousefi, Z, Yousefinezhadi, T, Yusefzadeh, H, Zadey, S, Zahirian Moghadam, T, Zaidi, S, Zaki, L, Zaman, S, Zamani, M, Zamanian, M, Zandian, H, Zastrozhin, M, Zewdie, K, Zhang, Y, Zhao, X, Zhao, Y, Zheng, P, Zhu, C, Ziapour, A, Zlavog, B, Zodpey, S, Murray, C, Tampere University, Health Sciences, 10922180 - Schutte, Aletta Elisabeth, Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Abu Haimed, A. K., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., Adelson, J., Adetokunboh, O. O., Adham, D., Advani, S. M., Afshin, A., Agarwal, G., Agasthi, P., Aghamir, S. M. K., Agrawal, A., Ahmad, T., Akinyemi, R. O., Alahdab, F., Al-Aly, Z., Alam, K., Albertson, S. B., Alemu, Y. M., Alhassan, R. K., Ali, M., Ali, S., Alipour, V., Aljunid, S. M., Alla, F., Almadi, M. A. H., Almasi, A., Almasi-Hashiani, A., Almasri, N. A., Al-Mekhlafi, H. M., Almulhim, A. M., Alonso, J., Al-Raddadi, R. M., Altirkawi, K. A., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Amini, S., Amini-Rarani, M., Amiri, F., Amit, A. M. L., Amugsi, D. A., Ancuceanu, R., Anderlini, D., Andrei, C. L., Androudi, S., Ansari, F., Ansari-Moghaddam, A., Antonio, C. A. T., Antony, C. M., Antriyandarti, E., Anvari, D., Anwer, R., Arabloo, J., Arab-Zozani, M., Aravkin, A. Y., Aremu, O., Arnlov, J., Asaad, M., Asadi-Aliabadi, M., Asadi-Pooya, A. A., Athari, S. S., Atout, M. M. W., Ausloos, M., Avila-Burgos, L., Ayala Quintanilla, B. P., Ayano, G., Ayanore, M. A., Aynalem, Y. A., Aynalem, G. L., Ayza, M. A., Azari, S., Azzopardi, P. S., B, D. B., Babaee, E., Badiye, A. D., Bahrami, M. A., Baig, A. A., Bakhshaei, M. H., Bakhtiari, A., Bakkannavar, S. M., Balachandran, A., Banach, M., Banerjee, S. K., Banik, P. C., Bante, A. B., Bante, S. A., Barker-Collo, S. L., Barnighausen, T. W., Barrero, L. H., Bassat, Q., Basu, S., Baune, B. T., Bayati, M., Baye, B. A., Bedi, N., Beghi, E., Behzadifar, M., Bekuma, T. T. T., Bell, M. L., Bensenor, I. M., Berman, A. E., Bernabe, E., Bernstein, R. S., Bhagavathula, A. S., Bhandari, D., Bhardwaj, P., Bhat, A. G., Bhattacharyya, K., Bhattarai, S., Bhutta, Z. A., Bijani, A., Bikbov, B., Bilano, V., Biondi, A., Birihane, B. M., Bockarie, M. J., Bohlouli, S., Bojia, H. A., Bolla, S. R. R., Boloor, A., Brady, O. J., Braithwaite, D., Briggs, A. M., Briko, N. I., Burugina Nagaraja, S., Busse, R., Butt, Z. A., Caetano dos Santos, F. L., Cahuana-Hurtado, L., Camera, L. A., Cardenas, R., Carreras, G., Carrero, J. J., Carvalho, F., Castaldelli-Maia, J. M., Castaneda-Orjuela, C. A., Castelpietra, G., Castro, F., Catala-Lopez, F., Cederroth, C. R., Cerin, E., Chandan, J. S., Chang, A. Y., Charan, J., Chattu, V. K., Chaturvedi, S., Chin, K. L., Cho, D. Y., Choi, J. -Y. J., Christensen, H., Chu, D. -T., Chung, M. T., Ciobanu, L. G., Cirillo, M., Compton, K., Cortesi, P. A., Costa, V. M., Cousin, E., Dahlawi, S. M. A., Damiani, G., Dandona, L., Dandona, R., Darega Gela, J., Darwesh, A. M., Daryani, A., Dash, A. P., Davey, G., Davila-Cervantes, C. A., Davletov, K., De Neve, J. -W., Denova-Gutierrez, E., Deribe, K., Dervenis, N., Desai, R., Dharmaratne, S. D., Dhungana, G. P., Dianatinasab, M., Dias da Silva, D., Diaz, D., Dippenaar, I. N., Do, H. T., Dorostkar, F., Doshmangir, L., Duncan, B. B., Duraes, A. R., Eagan, A. W., Edvardsson, D., El Sayed, I., El Tantawi, M., Elgendy, I. Y., Elyazar, I. R., Eskandari, K., Eskandarieh, S., Esmaeilnejad, S., Esteghamati, A., Ezekannagha, O., Farag, T., Farahmand, M., Faraon, E. J. A., Farinha, C. S. E. S., Farioli, A., Faris, P. S., Faro, A., Fazlzadeh, M., Feigin, V. L., Fernandes, E., Ferrara, P., Feyissa, G. T., Filip, I., Fischer, F., Fisher, J. L., Flor, L. S., Foigt, N. A., Folayan, M. O., Fomenkov, A. A., Foroutan, M., Francis, J. M., Fu, W., Fukumoto, T., Furtado, J. M., Gad, M. M., Gaidhane, A. M., Gakidou, E., Galles, N. C., Gallus, S., Gardner, W. M., Geberemariyam, B. S., Gebrehiwot, A. M., Gebremeskel, L. G., Gebremeskel, G. G., Gesesew, H. A., Ghadiri, K., Ghafourifard, M., Ghashghaee, A., Ghith, N., Gholamian, A., Gilani, S. A., Gill, P. S., Gill, T. K., Ginindza, T. 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Subjects: Index (economics), Servicios de Salud, SUSTAINABLE DEVELOPMENT GOALS, 030204 cardiovascular system & hematology, universal health coverage, sustaibale develpment goal, global burden of disease, performance, systematic analysis, Global Burden of Disease, 0302 clinical medicine, Universal Health Insurance, RA0421, 11. Sustainability, Per capita, Medical economics, Disease, 030212 general & internal medicine, 10. No inequality, 11 Medical and Health Sciences, effective coverage of health services, GBD 2019 Universal Health Coverage Collaborators, education.field_of_study, Public health, Medical care, Sjúkdómar, 4. Education, 1. No poverty, Health coverage, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Hälsovetenskaper, 3142 Public health care science, environmental and occupational health, Health services, 3. Good health, Global burden of disease, Health Expenditures, Humans, World Health Organization, Purchasing power parity, Scale (social sciences), Lýðheilsa, universal health coverag, CANCER SURVIVAL, ACCESS, Human, Heilsuhagfræði, medicine.medical_specialty, Health coverage, GBD, GBD, Universal health, GBD 2019, Population, Health expenditures, 3122 Cancers, Population health, 03 medical and health sciences, Health systems, Heilbrigðisvísindi, SDG 3 - Good Health and Well-being, General & Internal Medicine, Development economics, Health Sciences, medicine, Heilbrigðisstefna, Alþjóðaheilbrigðisstofnunin, QUALITY, Global Burden of Disease Study, education, PROGRESS, Disease burden, Health services accessibility, CARE, Heilbrigðisþjónusta, purl.org/pe-repo/ocde/ford#3.02.00 [https], Health Expenditure, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, 3121 General medicine, internal medicine and other clinical medicine, Morbility, Administración de los Servicios de Salud, Medical policy, Business, Heilbrigðiskerfi
Abstract: Publisher's version (útgefin grein), Background Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages. Methods Based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we assessed UHC effective coverage for 204 countries and territories from 1990 to 2019. Drawing from a measurement framework developed through WHO's GPW13 consultation, we mapped 23 effective coverage indicators to a matrix representing health service types (eg, promotion, prevention, and treatment) and five population-age groups spanning from reproductive and newborn to older adults (>= 65 years). Effective coverage indicators were based on intervention coverage or outcome-based measures such as mortality-to-incidence ratios to approximate access to quality care; outcome-based measures were transformed to values on a scale of 0-100 based on the 2.5th and 97.5th percentile of location-year values. We constructed the UHC effective coverage index by weighting each effective coverage indicator relative to its associated potential health gains, as measured by disability-adjusted life-years for each location-year and population-age group. For three tests of validity (content, known-groups, and convergent), UHC effective coverage index performance was generally better than that of other UHC service coverage indices from WHO (ie, the current metric for SDG indicator 3.8.1 on UHC service coverage), the World Bank, and GBD 2017. We quantified frontiers of UHC effective coverage performance on the basis of pooled health spending per capita, representing UHC effective coverage index levels achieved in 2019 relative to country-level government health spending, prepaid private expenditures, and development assistance for health. To assess current trajectories towards the GPW13 UHC billion target-1 billion more people benefiting from UHC by 2023-we estimated additional population equivalents with UHC effective coverage from 2018 to 2023. Findings Globally, performance on the UHC effective coverage index improved from 45.8 (95% uncertainty interval 44.2-47.5) in 1990 to 60.3 (58.7-61.9) in 2019, yet country-level UHC effective coverage in 2019 still spanned from 95 or higher in Japan and Iceland to lower than 25 in Somalia and the Central African Republic. Since 2010, sub-Saharan Africa showed accelerated gains on the UHC effective coverage index (at an average increase of 2.6% [1.9-3.3] per year up to 2019); by contrast, most other GBD super-regions had slowed rates of progress in 2010-2019 relative to 1990-2010. Many countries showed lagging performance on effective coverage indicators for non-communicable diseases relative to those for communicable diseases and maternal and child health, despite non-communicable diseases accounting for a greater proportion of potential health gains in 2019, suggesting that many health systems are not keeping pace with the rising non-communicable disease burden and associated population health needs. In 2019, the UHC effective coverage index was associated with pooled health spending per capita (r=0.79), although countries across the development spectrum had much lower UHC effective coverage than is potentially achievable relative to their health spending. Under maximum efficiency of translating health spending into UHC effective coverage performance, countries would need to reach $1398 pooled health spending per capita (US$ adjusted for purchasing power parity) in order to achieve 80 on the UHC effective coverage index. From 2018 to 2023, an estimated 388.9 million (358.6-421.3) more population equivalents would have UHC effective coverage, falling well short of the GPW13 target of 1 billion more people benefiting from UHC during this time. Current projections point to an estimated 3.1 billion (3.0-3.2) population equivalents still lacking UHC effective coverage in 2023, with nearly a third (968.1 million [903.5-1040.3]) residing in south Asia. Interpretation The present study demonstrates the utility of measuring effective coverage and its role in supporting improved health outcomes for all people-the ultimate goal of UHC and its achievement. Global ambitions to accelerate progress on UHC service coverage are increasingly unlikely unless concerted action on non-communicable diseases occurs and countries can better translate health spending into improved performance. Focusing on effective coverage and accounting for the world's evolving health needs lays the groundwork for better understanding how close-or how far-all populations are in benefiting from UHC., Lucas Guimaraes Abreu acknowledges support from Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior -Brasil (Capes) -Finance Code 001, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq) and Fundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG). Olatunji O Adetokunboh acknowledges South African Department of Science & Innovation, and National Research Foundation. Anurag Agrawal acknowledges support from the Wellcome Trust DBT India Alliance Senior Fellowship IA/CPHS/14/1/501489. Rufus Olusola Akinyemi acknowledges Grant U01HG010273 from the National Institutes of Health (NIH) as part of the H3Africa Consortium. Rufus Olusola Akinyemi is further supported by the FLAIR fellowship funded by the UK Royal Society and the African Academy of Sciences. Syed Mohamed Aljunid acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. Marcel Ausloos, Claudiu Herteliu, and Adrian Pana acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDSUEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. Till Winfried Barnighausen acknowledges support from the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research. Juan J Carrero was supported by the Swedish Research Council (2019-01059). Felix Carvalho acknowledges UID/MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/MCTES through national funds. Vera Marisa Costa acknowledges support from grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundacao para a Ciencia e a Tecnologia (FCT), IP, under the Norma TransitA3ria DL57/2016/CP1334/CT0006. Jan-Walter De Neve acknowledges support from the Alexander von Humboldt Foundation. Kebede Deribe acknowledges support by Wellcome Trust grant number 201900/Z/16/Z as part of his International Intermediate Fellowship. Claudiu Herteliu acknowledges partial support by a grant co-funded by European Fund for Regional Development through Operational Program for Competitiveness, Project ID P_40_382. Praveen Hoogar acknowledges the Centre for Bio Cultural Studies (CBiCS), Manipal Academy of Higher Education(MAHE), Manipal and Centre for Holistic Development and Research (CHDR), Kalghatgi. Bing-Fang Hwang acknowledges support from China Medical University (CMU108-MF-95), Taichung, Taiwan. Mihajlo Jakovljevic acknowledges the Serbian part of this GBD contribution was co-funded through the Grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. Aruna M Kamath acknowledges funding from the National Institutes of Health T32 grant (T32GM086270). Srinivasa Vittal Katikireddi acknowledges funding from the Medical Research Council (MC_UU_12017/13 & MC_UU_12017/15), Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15) and an NRS Senior Clinical Fellowship (SCAF/15/02). Yun Jin Kim acknowledges support from the Research Management Centre, Xiamen University Malaysia (XMUMRF/2018-C2/ITCM/0001). Kewal Krishan acknowledges support from the DST PURSE grant and UGC Center of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India. Manasi Kumar acknowledges support from K43 TW010716 Fogarty International Center/NIMH. Ben Lacey acknowledges support from the NIHR Oxford Biomedical Research Centre and the BHF Centre of Research Excellence, Oxford. Ivan Landires is a member of the Sistema Nacional de InvestigaciA3n (SNI), which is supported by the Secretaria Nacional de Ciencia Tecnologia e Innovacion (SENACYT), Panama. Jeffrey V Lazarus acknowledges support by a Spanish Ministry of Science, Innovation and Universities Miguel Servet grant (Instituto de Salud Carlos III/ESF, European Union [CP18/00074]). Peter T N Memiah acknowledges CODESRIA; HISTP. Subas Neupane acknowledges partial support from the Competitive State Research Financing of the Expert Responsibility area of Tampere University Hospital. Shuhei Nomura acknowledges support from the Ministry of Education, Culture, Sports, Science, and Technology of Japan (18K10082). Alberto Ortiz acknowledges support by ISCIII PI19/00815, DTS18/00032, ISCIII-RETIC REDinREN RD016/0009 Fondos FEDER, FRIAT, Comunidad de Madrid B2017/BMD-3686 CIFRA2-CM. These funding sources had no role in the writing of the manuscript or the decision to submit it for publication. George C Patton acknowledges support from a National Health & Medical Research Council Fellowship. Marina Pinheiro acknowledges support from FCT for funding through program DL 57/2016 -Norma transitA3ria. Alberto Raggi, David Sattin, and Silvia Schiavolin acknowledge support by a grant from the Italian Ministry of Health (Ricerca Corrente, Fondazione Istituto Neurologico C Besta, Linea 4 -Outcome Research: dagli Indicatori alle Raccomandazioni Cliniche). Daniel Cury Ribeiro acknowledges support from the Sir Charles Hercus Health Research Fellowship -Health Research Council of New Zealand (18/111). Perminder S Sachdev acknowledges funding from the NHMRC Australia. Abdallah M Samy acknowledges support from a fellowship from the Egyptian Fulbright Mission Program. Milena M Santric-Milicevic acknowledges support from the Ministry of Education, Science and Technological Development of the Republic of Serbia (Contract No. 175087). Rodrigo Sarmiento-Suarez acknowledges institutional support from University of Applied and Environmental Sciences in Bogota, Colombia, and Carlos III Institute of Health in Madrid, Spain. Maria Ines Schmidt acknowledges grants from the Foundation for the Support of Research of the State of Rio Grande do Sul (IATS and PrInt) and the Brazilian Ministry of Health. Sheikh Mohammed Shariful Islam acknowledges a fellowship from the National Heart Foundation of Australia and Deakin University. Aziz Sheikh acknowledges support from Health Data Research UK. Kenji Shibuya acknowledges Japan Ministry of Education, Culture, Sports, Science and Technology. Joan B Soriano acknowledges support by Centro de Investigacion en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. Rafael Tabares-Seisdedos acknowledges partial support from grant PI17/00719 from ISCIII-FEDER. Santosh Kumar Tadakamadla acknowledges support from the National Health and Medical Research Council Early Career Fellowship, Australia. Marcello Tonelli acknowledges the David Freeze Chair in Health Services Research at the University of Calgary, AB, Canada., "Peer Reviewed"
Published: 2020
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10. Devil’s trumpet poisoning: A case report

Author: Yajnesh Kidiyoor, Shankar M Bakkannavar, Ranjit Immanuel James, and Kavitha Saravu
Subjects: medicine.medical_specialty, Forensic pathology, biology, business.industry, fungi, biology.organism_classification, medicine.disease, Datura, Forensic psychiatry, Accidental, Forensic nursing, medicine, Intentional poisoning, Medical emergency, Thorn apple, Accidental poisoning, business
Abstract: Datura is a common plant in India that grows abundantly in the wild across the country. The common names of datura plant are Jimson weed, Stinkweed, Devil’s trumpet, Mad apple and Thorn apple etc. It is considered as a deliriant poison. Very few cases of intentional poisoning with Datura are reported in the literature. But accidental poisonings are though rare but not uncommon.Hereby we present a case of 37 years old male, who got poisoned by datura accidentally, following which he developed giddiness and was brought to our hospital. The diagnosis and treatment of the datura poisoning will be discussed. Keywords: Dhatura, Deliriant, Accidental poisoning.
Published: 2021
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11. Implementation of distributed floor control protocols on overlay networks

Author: Banik, Shankar M., Radhakrishnan, Sridhar, Sarangan, Venkatesh, and Sekharan, Chandra N.
Subjects: Distributed processing (Computers) -- Evaluation, Distributed processing (Computers), Business, Computers, Electronics, Electronics and electrical industries
Abstract: ALOHA, carrier sense multiple access (CSMA) and distributed queue dual bus (DQDB) are three well-known distributed MAC protocols for floor control on the overlay network. Analytical and experimental studies prove that DQDB is more efficient in comparison to ALOHA and CSMA.
Published: 2008

12. Cyber as a Service: Automating First Responders’ Service in the Cyberspace

Author: Shankar M. Banik, Eric Lilling, Matthew Blair, and Davis Jeffords
Subjects: Guard (information security), Service (systems architecture), Computer science, business.industry, Client, computer.file_format, Computer security, computer.software_genre, Software, Executable, business, Cyberspace, Communications protocol, computer, Host (network)
Abstract: Due to increasing number of attacks in the cyberspace that deals with different types of users, it is imperative that an automated responder service will be efficient to help the users detect and mitigate different types of attacks in their systems. In this research, we propose to replicate the framework of emergency responder service (911) of the physical space to the cyberspace. Towards this we propose a framework for Cyber-as-a-Service for end-users. In our proposed model, we have three entities: the Dispatch Center, the Guard, and the Client Software. These entities will communicate with each other to detect and extinguish any malicious activity on the host computer. The host machine will run a software that scans and detects any abnormal or malicious activity and communicates this activity to the Guard, which then replies with an executable resolution back to the host. Meanwhile, the Dispatch Center manages connections between hosts and Guards to ensure that hosts are connected to the optimal Guard. We propose algorithms that will place and distribute the Dispatch Center and the Guards. These algorithms allow for fair distribution of Guards, as well as balance the workload among the Guards. We propose the communication protocol that will take place between the Client software, Guards and the Dispatch Center. Our goal is to design the framework for Cyber-as-a-Service for everyday users in the cyberspace who do not have sufficient technical skills to manage tools to detect different attacks.
Published: 2020
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13. Safe Selfie

Author: Davis Jeffords, Eric Lilling, Matthew Blair, and Shankar M. Banik
Subjects: Phone, Proof of concept, business.industry, Accidental, Internet privacy, Geologic hazards, Computational intelligence, Selfie, business
Abstract: In this paper, we discuss the importance and proof of concept for a picture-taking app that will remind the user of their surroundings. The background to this issue is that several people die a year because they are in a situation unsafe for taking pictures, but are too preoccupied with their phone to realise the danger. This application will take many factors into consideration, including user velocity, local emergency contact information, and geological hazards to warn the user of safety issues. The goal of this application is to reduce the amount of accidental injuries or deaths related to taking pictures in unsafe areas.
Published: 2020
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14. Knowledge Engineering in Higher Education

Author: Vijaykumar N. Patil, Shankar M. Patil, Shilpa M. Satre, and Sonali .J. Mane
Subjects: Knowledge management, Higher education, business.industry, Computer science, Knowledge engineering, Significant part, 020206 networking & telecommunications, 02 engineering and technology, Domain (software engineering), Work (electrical), Engineering education, Map reduce, ComputingMilieux_COMPUTERSANDEDUCATION, 0202 electrical engineering, electronic engineering, information engineering, Domain knowledge, 020201 artificial intelligence & image processing, business
Abstract: Data analysis shows significant part in assessment provision regardless of the kind of industries like industrial or an education institutes. EDM anxieties with emerging techniques for determining knowledge from didactic domain data. EDM techniques are applied to analyze undergraduate learners’ assessment. The performance focuses on problematic of domain-wise and subject-wise strong/weak graduates in their respective domain knowledge. In this research work, extract valuable knowledge of data gathered from Bharati Vidyapeeth (BV) College of Engineering. The data includes complete one batch of semester examinations during 2015--2019. HDFS and Map-Reduce framework is used because data is non-relational and unstructured from various departments. Using Map-Reduce classification students are assessed on their performance of knowledge domains as a strong and weak graduate in the given batch.
Published: 2020
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15. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Soufiane Boufous, Yousef Veisani, Mehran Asadi-Aliabadi, Sharath Burugina Nagaraja, Maziar Moradi-Lakeh, Getachew Mullu Kassa, Edward J Mills, Dimas Ria Angga Pribadi, William James Dangel, Mohamad-Hani Temsah, Catherine O. Johnson, Gregory A. Roth, Giuseppe Gorini, Fariborz Mansour-Ghanaei, Alberto Ortiz, Samad Azari, Assefa Ayalew Ayalew Ayalew Gebreslassie, Salime Goharinezhad, Stephanie R. M. Zimsen, Peng Zheng, Michael Assmus, Elisabetta Pupillo, Bach Xuan Tran, Lal B. Rawal, Narayanaswamy Venketasubramanian, Noushin Mohammadifard, Stephen S Lim, Ata Rafiee, Maria Inês Schmidt, Vincent C. Iannucci, Suzanne Lyn Barker-Collo, Leah E. Cahill, Tauseef Ahmad, Platon D. Lopukhov, Kazumasa Yamagishi, Abdullah Al Mamun, Iqbal R. F. Elyazar, Giovanni Damiani, Mohammad Hossein Bakhshaei, Mehdi Fazlzadeh, Virginia Núñez-Samudio, Alyssa Pennini, Dietrich Plass, Atkilt Esaiyas Etisso, Gebre Teklemariam Demoz, Alexandrea Watson, Arvin Haj-Mirzaian, Paul S Briant, Frank B. Osei, Blair R. Bumgarner, Maciej Banach, Ravensara S. Travillian, Kai-Lan Chang, Shirin Djalalinia, Hasan Yusefzadeh, Silvano Gallus, Seyyed Meysam Mousavi, Bernhard T. Baune, Aaron van Donkelaar, Azeem Majeed, Hans Kromhout, Robert Ancuceanu, Blessing J. Akombi, Pushpendra Singh, Nayu Ikeda, William M. Gardner, Zahid A Butt, Mohammad Abdollahi, Temesgen Yihunie Akalu, Rahman Shiri, Benn Sartorius, Ai-Min Wu, Bing Fang Hwang, Flavia M. Cicuttini, Hiroyasu Iso, Luis Camera, Amin Soheili, Félix Carvalho, Yun Jin Kim, Caleb Mackay Salpeter Irvine, Mehdi Mirzaei-Alavijeh, Iman Halvaei, Saqib Ali, Giulio Castelpietra, Catalina Liliana Andrei, Ali Kazemi Karyani, Parkes J Kendrick, Hamidreza Haririan, Lucas Guimarães Abreu, Mukhammad David Naimzada, Jeff T. 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Djalalinia, S, Do, H, Dokova, K, Dorostkar, F, Doshmangir, L, Driscoll, T, Duncan, B, Duraes, A, Eagan, A, Edvardsson, D, El Nahas, N, El Sayed, I, El Tantawi, M, Elbarazi, I, Elgendy, I, El-Jaafary, S, Elyazar, I, Emmons-Bell, S, Erskine, H, Eskandarieh, S, Esmaeilnejad, S, Esteghamati, A, Estep, K, Etemadi, A, Etisso, A, Fanzo, J, Farahmand, M, Fareed, M, Faridnia, R, Farioli, A, Faro, A, Faruque, M, Farzadfar, F, Fattahi, N, Fazlzadeh, M, Feigin, V, Feldman, R, Fereshtehnejad, S, Fernandes, E, Ferrara, G, Ferrari, A, Ferreira, M, Filip, I, Fischer, F, Fisher, J, Flor, L, Foigt, N, Folayan, M, Fomenkov, A, Force, L, Foroutan, M, Franklin, R, Freitas, M, Fu, W, Fukumoto, T, Furtado, J, Gad, M, Gakidou, E, Gallus, S, Garcia-Basteiro, A, Gardner, W, Geberemariyam, B, Ayalew Gebreslassie, A, Geremew, A, Gershberg Hayoon, A, Gething, P, Ghadimi, M, Ghadiri, K, Ghaffarifar, F, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Ghiasvand, H, Ghith, N, Gholamian, A, Ghosh, R, Gill, P, Ginindza, T, Giussani, G, Gnedovskaya, E, Goharinezhad, S, Gopalani, S, Gorini, G, Goudarzi, H, Goulart, A, Greaves, F, Grivna, M, Grosso, G, Gubari, M, Gugnani, H, Guimaraes, R, Guled, R, Guo, G, Guo, Y, Gupta, R, Gupta, T, Haddock, B, Hafezi-Nejad, N, Hafiz, A, Haj-Mirzaian, A, Hall, B, Halvaei, I, Hamadeh, R, Hamidi, S, Hammer, M, Hankey, G, Haririan, H, Haro, J, Hasaballah, A, Hasan, M, Hasanpoor, E, Hashi, A, Hassanipour, S, Hassankhani, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Heidari-Soureshjani, R, Henrikson, H, Herbert, M, Herteliu, C, Heydarpour, F, Hird, T, Hoek, H, Holla, R, Hoogar, P, Hosgood, H, Hossain, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Hsieh, V, Hu, G, Hu, K, Huda, T, Humayun, A, Huynh, C, Hwang, B, Iannucci, V, Ibitoye, S, Ikeda, N, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Inbaraj, L, Ippolito, H, Iqbal, U, Irvani, S, Irvine, C, Islam, M, Islam, S, Iso, H, Ivers, R, Iwu, C, Iyamu, I, Jaafari, J, Jacobsen, K, Jafari, H, Jafarinia, M, Jahani, M, Jakovljevic, M, Jalilian, F, James, S, Janjani, H, Javaheri, T, Javidnia, J, Jeemon, P, Jenabi, E, Jha, R, Jha, V, Ji, J, Johansson, L, John, O, John-Akinola, Y, Johnson, C, Jonas, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kabir, Z, Kalani, H, Kalani, R, Kalankesh, L, Kalhor, R, Kanchan, T, Kapoor, N, Matin, B, Karch, A, Karim, M, Kassa, G, Katikireddi, S, Kayode, G, Kazemi Karyani, A, Keiyoro, P, Keller, C, Kemmer, L, Kendrick, P, Khalid, N, Khammarnia, M, Khan, E, Khan, M, Khatab, K, Khater, M, Khatib, M, Khayamzadeh, M, Khazaei, S, Kieling, C, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Knibbs, L, Knudsen, A, Kocarnik, J, Kochhar, S, Kopec, J, Korshunov, V, Koul, P, Koyanagi, A, Kraemer, M, Krishan, K, Krohn, K, Kromhout, H, Kuate Defo, B, Kumar, G, Kumar, V, Kurmi, O, Kusuma, D, La Vecchia, C, Lal, D, Lalloo, R, Lallukka, T, Lami, F, Landires, I, Lang, J, Langan, S, Larsson, A, Lasrado, S, Lauriola, P, Lazarus, J, Lee, P, Lee, S, Legrand, K, Leigh, J, Leonardi, M, Lescinsky, H, Leung, J, Levi, M, Li, S, Lim, L, Linn, S, Liu, S, Liu, Y, Lo, J, Lopez, A, Lopez, J, Lopukhov, P, Lorkowski, S, Lotufo, P, Lu, A, Lugo, A, Maddison, E, Mahasha, P, Mahdavi, M, Mahmoudi, M, Majeed, A, Maleki, A, Maleki, S, Malekzadeh, R, Malta, D, Mamun, A, Manda, A, Manguerra, H, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantilla Herrera, A, Maravilla, J, Marks, A, Martin, R, Martini, S, Martins-Melo, F, Masaka, A, Masoumi, S, Mathur, M, Matsushita, K, Maulik, P, Mcalinden, C, Mcgrath, J, Mckee, M, Mehndiratta, M, Mehri, F, Mehta, K, Memish, Z, Mendoza, W, Menezes, R, Mengesha, E, Mereke, A, Mereta, S, Meretoja, A, Meretoja, T, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mills, E, Mini, G, Miri, M, Mirica, A, Mirrakhimov, E, Mirzaei, H, Mirzaei, M, Mirzaei, R, Mirzaei-Alavijeh, M, Misganaw, A, Mithra, P, Moazen, B, Mohammad, D, Mohammad, Y, Mohammad Gholi Mezerji, N, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammadpourhodki, R, Mohammed, A, Mohammed, H, Mohammed, J, Mohammed, S, Mokdad, A, Molokhia, M, Monasta, L, Mooney, M, Moradi, G, Moradi, M, Moradi-Lakeh, M, Moradzadeh, R, Moraga, P, Morawska, L, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mosser, J, Mouodi, S, Mousavi, S, Khaneghah, A, Mueller, U, Mukhopadhyay, S, Mullany, E, Musa, K, Muthupandian, S, Nabhan, A, Naderi, M, Nagarajan, A, Nagel, G, Naghavi, M, Naghshtabrizi, B, Naimzada, M, Najafi, F, Nangia, V, Nansseu, J, Naserbakht, M, Nayak, V, Negoi, I, Ngunjiri, J, Nguyen, C, Nguyen, H, Nguyen, M, Nigatu, Y, Nikbakhsh, R, Nixon, M, Nnaji, C, Nomura, S, Norrving, B, Noubiap, J, Nowak, C, Nunez-Samudio, V, Oancea, B, Odell, C, Ogbo, F, Oh, I, Okunga, E, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omer, M, Ong, K, Onwujekwe, O, Orpana, H, Ortiz, A, Osarenotor, O, Osei, F, Ostroff, S, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, Mahesh, P, Padubidri, J, Palladino, R, Panda-Jonas, S, Pandey, A, Parry, C, Pasovic, M, Pasupula, D, Patel, S, Pathak, M, Patten, S, Patton, G, Toroudi, H, Peden, A, Pennini, A, Pepito, V, Peprah, E, Pereira, D, Pesudovs, K, Pham, H, Phillips, M, Piccinelli, C, Pilz, T, Piradov, M, Pirsaheb, M, Plass, D, Polinder, S, Polkinghorne, K, Pond, C, Postma, M, Pourjafar, H, Pourmalek, F, Poznanska, A, Prada, S, Prakash, V, Pribadi, D, Pupillo, E, Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahman, M, Rajabpour-Sanati, A, Rajati, F, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, C, Rao, P, Rao, S, Rashedi, V, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawat, R, Razo, C, Redford, S, Reiner, R, Reitsma, M, Remuzzi, G, Renjith, V, Renzaho, A, Resnikoff, S, Rezaei, N, Rezapour, A, Rhinehart, P, Riahi, S, Ribeiro, D, Rickard, J, Rivera, J, Roberts, N, Rodriguez-Ramirez, S, Roever, L, Ronfani, L, Room, R, Roshandel, G, Roth, G, Rothenbacher, D, Rubagotti, E, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Sadeghi, M, Saeedi, R, Saeedi Moghaddam, S, Safari, Y, Safi, S, Safiri, S, Sagar, R, Sahebkar, A, Sajadi, S, Salam, N, Salamati, P, Salem, H, Salem, M, Salimzadeh, H, Salman, O, Salomon, J, Samad, Z, Samadi Kafil, H, Sambala, E, Samy, A, Sanabria, J, Sanchez-Pimienta, T, Santomauro, D, Santos, I, Santos, J, Santric-Milicevic, M, Saraswathy, S, Sarmiento-Suarez, R, Sarrafzadegan, N, Sarveazad, A, Sathian, B, Sathish, T, Sattin, D, Saxena, S, Schaeffer, L, Schiavolin, S, Schlaich, M, Schmidt, M, Schutte, A, Schwebel, D, Schwendicke, F, Senbeta, A, Senthilkumaran, S, Sepanlou, S, Serdar, B, Serre, M, Shadid, J, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shalash, A, Shams-Beyranvand, M, Shamsizadeh, M, Sharafi, K, Sheikh, A, Sheikhtaheri, A, Shibuya, K, Shield, K, Shigematsu, M, Shin, J, Shin, M, Shiri, R, Shirkoohi, R, Shuval, K, Siabani, S, Sierpinski, R, Sigfusdottir, I, Sigurvinsdottir, R, Silva, J, Simpson, K, Singh, J, Singh, P, Skiadaresi, E, Skou, S, Skryabin, V, Smith, E, Soheili, A, Soltani, S, Soofi, M, Sorensen, R, Soriano, J, Sorrie, M, Soshnikov, S, Soyiri, I, Spencer, C, Spotin, A, Sreeramareddy, C, Srinivasan, V, Stanaway, J, Stein, C, Stein, D, Steiner, C, Stockfelt, L, Stokes, M, Straif, K, Stubbs, J, Sufiyan, M, Suleria, H, Suliankatchi Abdulkader, R, Sulo, G, Sultan, I, Tabares-Seisdedos, R, Tabb, K, Tabuchi, T, Taherkhani, A, Tajdini, M, Takahashi, K, Takala, J, Tamiru, A, Taveira, N, Tehrani-Banihashemi, A, Temsah, M, Tesema, G, Tessema, Z, Thurston, G, Titova, M, Tohidinik, H, Tonelli, M, Topor-Madry, R, Topouzis, F, Torre, A, Touvier, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsatsakis, A, Tudor Car, L, Tyrovolas, S, Uddin, R, Umeokonkwo, C, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valdez, P, van Donkelaar, A, Vasankari, T, Vasseghian, Y, Veisani, Y, Venketasubramanian, N, Violante, F, Vlassov, V, Vollset, S, Vos, T, Vukovic, R, Waheed, Y, Wallin, M, Wang, Y, Watson, A, Wei, J, Wei, M, Weintraub, R, Weiss, J, Werdecker, A, West, J, Westerman, R, Whisnant, J, Whiteford, H, Wiens, K, Wolfe, C, Wozniak, S, Wu, A, Wu, J, Wulf Hanson, S, Xu, G, Xu, R, Yadgir, S, Yahyazadeh Jabbari, S, Yamagishi, K, Yaminfirooz, M, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeheyis, T, Yilgwan, C, Yilma, M, Yip, P, Yonemoto, N, Younis, M, Younker, T, Yousefi, B, Yousefi, Z, Yousefinezhadi, T, Yousuf, A, Yu, C, Yusefzadeh, H, Moghadam, T, Zamani, M, Zamanian, M, Zandian, H, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, J, Zhao, X, Zhao, Y, Zheng, P, Zhou, M, Ziapour, A, Zimsen, S, Lim, S, Murray, C, GBD 2019 Risk Factors Collaborator, Violante FS, Biosciences, Department of Public Health, Clinicum, Department of Neurosciences, HUS Comprehensive Cancer Center, Environmental Sciences, Sub Foundations&PhilosophyofNaturSc begr, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Public Health, Bin Sayeed, M. S. B., Caetano Dos Santos, F. L., Camera, L. A., Elyazar, I. R. F., Ayalew Gebreslassie, A. A. A., Ginindza, T. G., Matin, B. K., Morgado-Da-Costa, J., Khaneghah, A. M., Mahesh, P. A., Toroudi, H. P., Syed, Z. Q., Salem, M. R., Skou, S. T., Tovani-Palone, M. R., Tudor Car, L. T., and Moghadam, T. Z.
Subjects: Male, Nutritional Sciences, Specific risk, Contaminación del Aire Interior, 030204 cardiovascular system & hematology, Socioeconomic Factor, systematic analysis, Global Health, Body Mass Index, Global Burden of Disease, Health Risk Behavior, Health Risk Behaviors, Disease studies, 0302 clinical medicine, Risk Factors, METABOLIC RISKS, 030212 general & internal medicine, 11 Medical and Health Sciences, Factores de Riesgo, 2. Zero hunger, education.field_of_study, Public health, Injuries, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, GBD, risck factors, attributable burden of disease, 3142 Public health care science, environmental and occupational health, 3. Good health, Relative risk, Environmental health, Health, Hypertension, Global Burden of Diseases, Injuries, Risk Factors, A990 Medicine and Dentistry not elsewhere classified, Female, Leading risk factors, Global Health Metrics, Cohort study, Human, medicine.medical_specialty, Substance-Related Disorders, Population, UNITED-STATES, Risk Assessment, DIET, ITC-HYBRID, 03 medical and health sciences, Life Expectancy, MORTALITY, DISABILITY, POLLUTION, CLUSTERS, SDG 3 - Good Health and Well-being, General & Internal Medicine, medicine, Humans, Global Burden of Disease Study, Risk factor, education, Global burden, business.industry, Risk Factor, Malnutrition, Klinisk medicin, Global Burden of Diseases, Environmental Exposure, medicine.disease, Enfermedades, purl.org/pe-repo/ocde/ford#3.02.00 [https], Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, Socioeconomic Factors, Risk factors, Disease study, Hyperglycemia, ITC-ISI-JOURNAL-ARTICLE, NA, Clinical Medicine, business, RA
Abstract: Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease. Methods GBD 2019 estimated attributable mortality, years of life lost (YLLs), years of life lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 87 risk factors and combinations of risk factors, at the global level, regionally, and for 204 countries and territories. GBD uses a hierarchical list of risk factors so that specific risk factors (eg, sodium intake), and related aggregates (eg, diet quality), are both evaluated. This method has six analytical steps. (1) We included 560 risk-outcome pairs that met criteria for convincing or probable evidence on the basis of research studies. 12 risk-outcome pairs included in GBD 2017 no longer met inclusion criteria and 47 risk-outcome pairs for risks already included in GBD 2017 were added based on new evidence. (2) Relative risks were estimated as a function of exposure based on published systematic reviews, 81 systematic reviews done for GBD 2019, and meta-regression. (3) Levels of exposure in each age-sex-location-year included in the study were estimated based on all available data sources using spatiotemporal Gaussian process regression, DisMod-MR 2.1, a Bayesian meta-regression method, or alternative methods. (4) We determined, from published trials or cohort studies, the level of exposure associated with minimum risk, called the theoretical minimum risk exposure level. (5) Attributable deaths, YLLs, YLDs, and DALYs were computed by multiplying population attributable fractions (PAFs) by the relevant outcome quantity for each age-sex-location-year. (6) PAFs and attributable burden for combinations of risk factors were estimated taking into account mediation of different risk factors through other risk factors. Across all six analytical steps, 30 652 distinct data sources were used in the analysis. Uncertainty in each step of the analysis was propagated into the final estimates of attributable burden. Exposure levels for dichotomous, polytomous, and continuous risk factors were summarised with use of the summary exposure value to facilitate comparisons over time, across location, and across risks. Because the entire time series from 1990 to 2019 has been re-estimated with use of consistent data and methods, these results supersede previously published GBD estimates of attributable burden. Findings The largest declines in risk exposure from 2010 to 2019 were among a set of risks that are strongly linked to social and economic development, including household air pollution; unsafe water, sanitation, and handwashing; and child growth failure. Global declines also occurred for tobacco smoking and lead exposure. The largest increases in risk exposure were for ambient particulate matter pollution, drug use, high fasting plasma glucose, and high body-mass index. In 2019, the leading Level 2 risk factor globally for attributable deaths was high systolic blood pressure, which accounted for 10.8 million (95% uncertainty interval [UI] 9.51-12.1) deaths (19.2% [16.9-21.3] of all deaths in 2019), followed by tobacco (smoked, second-hand, and chewing), which accounted for 8.71 million (8.12-9.31) deaths (15.4% [14.6-16.2] of all deaths in 2019). The leading Level 2 risk factor for attributable DALYs globally in 2019 was child and maternal malnutrition, which largely affects health in the youngest age groups and accounted for 295 million (253-350) DALYs (11.6% [10.3-13.1] of all global DALYs that year). The risk factor burden varied considerably in 2019 between age groups and locations. Among children aged 0-9 years, the three leading detailed risk factors for attributable DALYs were all related to malnutrition. Iron deficiency was the leading risk factor for those aged 10-24 years, alcohol use for those aged 25-49 years, and high systolic blood pressure for those aged 50-74 years and 75 years and older. Interpretation Overall, the record for reducing exposure to harmful risks over the past three decades is poor. Success with reducing smoking and lead exposure through regulatory policy might point the way for a stronger role for public policy on other risks in addition to continued efforts to provide information on risk factor harm to the general public. Copyright (C) 2020 The Author(s). Published by Elsevier Ltd.
Published: 2020
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16. The burden of unintentional drowning : global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study

Author: Amrit Banstola, Rushdia Ahmed, Carl Abelardo T. Antonio, Ritesh G. Menezes, Ziad El-Khatib, Ashish Pathak, Cuong Tat Nguyen, Akine Eshete Abosetugn, Shankar M Bakkannavar, Berhe Gebremichael, Alan D. Lopez, G Anil Kumar, Hafiz Ansar Rasul Suleria, Keyvan Pakshir, Amy E. Peden, Soumyadeep Bhaumik, Baye Dagnew, Aseb Arba Kinfe Arba, Archith Boloor, Simon I. Hay, Erin B Hamilton, Zichen Liu, Eduarda Fernandes, Achala Upendra Jayatilleke, Tanuj Kanchan, M. Mofizul Islam, Spencer L. James, Zachary V Dingels, Florian Fischer, Tim Driscoll, Zahra Sadat Dibaji Forooshani, Irina Filip, David C. Schwebel, Pengpeng Ye, Ahmad Daryani, Leeberk Raja Inbaraj, Berhe Etsay Tesfay, Saeed Safari, Kewal Krishan, Michael K. Hole, Ali H. Mokdad, Ted R. Miller, Rebecca Ivers, Venkatesh Maled, Pankaj Singh, Abdollah Mohammadian-Hafshejani, Delia Hendrie, Sorin Hostiuc, Amir Kasaeian, Fares Alahdab, Subramanian Senthilkumaran, Abdur Razzaque Sarker, Zhi-Jiang Zhang, Akbar Barzegar, Hoa Thi Do, Mowafa Househ, Shoaib Hassan, Jennifer Rickard, Arielle Wilder Eagan, Sojib Bin Zaman, Mohammed Madadin, Huong Lan Thi Nguyen, Samantha M. Colquhoun, Naohiro Yonemoto, Rohollah Kalhor, Ali Manafi, Gaurav Gupta, Suzanne Polinder, Amir Radfar, Ionut Negoi, Henok Dagne, Zulfiqar A Bhutta, Mariam Molokhia, Yousef Veisani, Mohsen Bayati, Jae Il Shin, Maciej Banach, Farahnaz Joukar, Marek Majdan, Jagdish Khubchandani, Hasan Yusefzadeh, Rakhi Dandona, Navid Manafi, Chris D Castle, Catherine Bisignano, Tinuke O Olagunju, Faramarz Shaahmadi, Amin Soheili, Félix Carvalho, Martin McKee, Ingan Ukur Tarigan, Saleem M Rana, Dillon O Sylte, Palash Chandra Banik, Catalina Liliana Andrei, Mark A. Stokes, Pankaj Bhardwaj, Reza Mohammadpourhodki, Payman Salamati, Farnam Mohebi, Andrew T Olagunju, Ashish Badiye, Ejaz Ahmad Khan, Neeti Kapoor, Dinh-Toi Chu, Abdallah M. Samy, Seyed Sina Naghibi Irvani, Jalal Arabloo, Olayinka Stephen Ilesanmi, Prasanna Mithra, Nicholas L S Roberts, Jagadish Rao Padubidri, Masood Ali Shaikh, Navid Rabiee, Mohiuddin Ahsanul Kabir Chowdhury, Paolo Lauriola, Chuanhua Yu, Pascual R. Valdez, Ramesh Holla, Gdiom Gebreheat Abady, Lalit Dandona, Samath D Dharmaratne, Suzanne Barker-Collo, Ali Bijani, Hagazi Gebre Meles, Theo Vos, Tuomo J. Meretoja, Chi Linh Hoang, Richard C. Franklin, Juanita A. Haagsma, Maseer Khan, Dimas Ria Angga Pribadi, Mohamad-Hani Temsah, Ghulam Mustafa, HUS Comprehensive Cancer Center, Clinicum, University of Helsinki, Helsinki University Hospital Area, and Public Health
Subjects: Burden of disease, ADJUSTED LIFE-YEARS, Uncertainty interval, Population, 195 COUNTRIES, Poison control, burden of disease, Occupational safety and health, 03 medical and health sciences, 0302 clinical medicine, AGE, Injury prevention, SYSTEMATIC ANALYSIS, INJURY, Medicine, 030212 general & internal medicine, education, health care economics and organizations, POPULATION, education.field_of_study, SEX-SPECIFIC MORTALITY, business.industry, drowning, Mortality rate, DISABILITY, Public Health, Environmental and Occupational Health, 030208 emergency & critical care medicine, global, PREVENTION, 3142 Public health care science, environmental and occupational health, 3. Good health, Years of potential life lost, population characteristics, TERRITORIES, business, Demography
Abstract: This article was previously published with errors in authorship and affiliations. Please note the below updates: The updated affiliations for Rakhi Dandona 4,5,39 are 4 Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA. 5 Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, Washington, USA. 39 Public Health Foundation of India, Gurugram, India. Author Hai Quang Pham has been added prior to Suzanne Polinder. The affiliation for Hai Quang Pham 107 is 107 Institute for Global Health Innovations, Duy Tan University, Hanoi, Vietnam Author Vafa Rahimi-Movaghar has been added prior to Saleem Muhammad Rana. The affiliation for Vafa Rahimi-Movaghar 123 is 123 Sina Trauma and Surgery Research Centre, Tehran University of Medical Sciences, Tehran, Iran Author Bach Xuan Tran has been added prior to Pascual R Valdez. The affiliation for Bach Xuan Tran 151 is 151 Department of Health Economics, Hanoi Medical University, Hanoi, Vietnam. This affiliation has been added in the affiliation list. Please see: https://doi.org/10.1136/injuryprev-2019-043484corr1. © Author(s) (or their employer(s)) 2020. Background: Drowning is a leading cause of injury-related mortality globally. Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65-74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury-related mortality in the Global Burden of Disease (GBD) study. This study's objective is to describe unintentional drowning using GBD estimates from 1990 to 2017. Methods: Unintentional drowning from GBD 2017 was estimated for cause-specific mortality and years of life lost (YLLs), age, sex, country, region, Socio-demographic Index (SDI) quintile, and trends from 1990 to 2017. GBD 2017 used standard GBD methods for estimating mortality from drowning. Results: Globally, unintentional drowning mortality decreased by 44.5% between 1990 and 2017, from 531 956 (uncertainty interval (UI): 484 107 to 572 854) to 295 210 (284 493 to 306 187) deaths. Global age-standardised mortality rates decreased 57.4%, from 9.3 (8.5 to 10.0) in 1990 to 4.0 (3.8 to 4.1) per 100 000 per annum in 2017. Unintentional drowning-associated mortality was generally higher in children, males and in low-SDI to middle-SDI countries. China, India, Pakistan and Bangladesh accounted for 51.2% of all drowning deaths in 2017. Oceania was the region with the highest rate of age-standardised YLLs in 2017, with 45 434 (40 850 to 50 539) YLLs per 100 000 across both sexes. Conclusions: There has been a decline in global drowning rates. This study shows that the decline was not consistent across countries. The results reinforce the need for continued and improved policy, prevention and research efforts, with a focus on low-and middle-income countries. Royal Life Saving Society - Australia
Published: 2020

17. Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Author: Joseph Frostad, Eirini Skiadaresi, Mehran Asadi-Aliabadi, Aleksandra Barac, Simon I. Hay, Deborah Carvalho Malta, Achala Upendra Jayatilleke, David L. Smith, Mohamad-Hani Temsah, Brigette F. Blacker, Nuworza Kugbey, Bineyam Taye, Carlo La Vecchia, Kavumpurathu Raman Thankappan, Benny Antony, Cheru Tesema Leshargie, Eduarda Fernandes, Chandrashekhar T Sreeramareddy, Turki Alanzi, Amir Jalali, Chukwudi A Nnaji, Daniel Asmelash, Manu Raj Mathur, Jai K Das, Ana Isabel Ribeiro, Sachin R Atre, Tomislav Mestrovic, Rajeev Gupta, Smita Pakhale, Félix Carvalho, Yun Jin Kim, Quynh Anh P. Nguyen, Sameer Vali Gopalani, Chi Linh Hoang, Jean Jacques Noubiap, Manfred Accrombessi, Christopher J L Murray, Ninuk Hariyani, Ken Lee Chin, Jagadish Rao Padubidri, Mehdi Fazlzadeh, Mohammad Fareed, Mustafa Z. Younis, Navid Rabiee, Osayomwanbo Osarenotor, Brian J. Hall, Ejaz Ahmad Khan, Daniel Diaz, Salman Rawaf, Tara Ballav Adhikari, Mayowa O. Owolabi, Sonia Lewycka, Catalina Liliana Andrei, Henok Biresaw Netsere, Hagos Degefa Hidru, Morteza Shamsizadeh, Shai Linn, Saad M.A. Dahlawi, Demelash Woldeyohannes Handiso, Jemal Abdu Mohammed, Thomas Pilgrim, Alessandra C. Goulart, Ravi Prakash Jha, Norberto Perico, Sergio I. Prada, Ted R. Miller, Rebecca Ivers, Habib Benzian, David C. Schwebel, Milena Ilic, Siddhesh Zadey, Davide Rasella, Hedayat Abbastabar, Aso Mohammad Darwesh, Kinley Wangdi, Ritesh G. Menezes, Jost B. Jonas, Dian Kusuma, Molly K. Miller-Petrie, Savita Lasrado, Goura Kishor Rath, Lalit Dandona, Farshad Farzadfar, Georgy Lebedev, Ahmed I. Hasaballah, Shaimaa I. El-Jaafary, Aniruddha Deshpande, Jacek Jerzy Jozwiak, Joseph Adel Mattar Banoub, Amir Almasi-Hashiani, Praveen Hoogar, Fares Alahdab, Vafa Rahimi-Movaghar, Anbissa Muleta Senbeta, Subramanian Senthilkumaran, Ambrish Singh, Fatemeh Rajati, Sonali Kochhar, Amir Khater, Ali Almasi, Juanita A. Haagsma, Segun Emmanuel Ibitoye, Telma Zahirian Moghadam, Rajesh Sharma, Abel Fekadu Dadi, Sezer Kisa, Arash Etemadi, Zubair Kabir, Aslam Pervaiz, Muhammed Magdy Abd El Razek, Syed Ather Hussain, Mohsen Mazidi, Hamidreza Komaki, Reza Shirkoohi, Alex Yeshaneh, Faris Lami, Maha El Tantawi, Yunquan Zhang, Hamidreza Haririan, Lucas Guimarães Abreu, Tissa Wijeratne, Giuseppe Remuzzi, Bahram Mohajer, Christiane Dolecek, Vinay Nangia, Gebremicheal Gebreslassie Kasahun, Usman Iqbal, Nataliya A. Foigt, Andrey Nikolaevich Briko, Workua Mekonnen Metekiya, Chuanhua Yu, Elizabeth A. Cromwell, Pascual R. Valdez, Jennifer Rickard, Masoud Moradi, Hailay Abrha Gesesew, Naser Mohammad Gholi Mezerji, Getasew Taddesse Worku, Dinh-Toi Chu, Claudiu Herteliu, Dawit Zewdu Wondafrash, Gianna Gayle Herrera Amul, Mostafa Leili, Gebrehiwot G. Kassa, Soumyadeep Bhaumik, Ester Cerin, Bahram Armoon, Martin Amogre Ayanore, Shafiu Mohammed, Alexandria Brown, Charles Shey Wiysonge, Abbas Mosapour, Bach Xuan Tran, Lal B. Rawal, Muktar Beshir Ahmed, Wondimeneh Shibabaw Shiferaw, Mohamed M. Gad, Eugenio Traini, Aisha Elsharkawy, David M. Pigott, Temesgen Yihunie Akalu, Syed Mohamed Aljunid, Reza Malekzadeh, Ahmad Daryani, Olatunde Aremu, Mohammad Reza Salahshoor, Merhawi Gebremedhin Tekle, Derrick A Bennett, Oladimeji M. Adebayo, Bogdan Oancea, Jagdish Khubchandani, Sandra B. Munro, Naohiro Yonemoto, Ahmad Ghashghaee, Mohammed Ibrahim Mohialdeen Gubari, Marcela Agudelo-Botero, Bárbara Niegia Garcia de Goulart, Daniel Adane Endalew, Davide Guido, Alyssa N. Sbarra, Kerrie E. Doyle, Olalekan A. Uthman, Olatunji O. Adetokunboh, Zemichael Gizaw, Muhammad Usman, Farzaneh Ghazi Sherbaf, MohammadBagher Shamsi, Degena Bahrey Tadesse, Aziz Eftekhari, André Karch, Narinder Pal Singh, Carl Abelardo T. Antonio, Morteza Abdullatif Khafaie, Meysam Behzadifar, Amira Hamed Darwish, Soufiane Boufous, Mohammad Reza Sobhiyeh, Frank B. Osei, Adhena Ayaliew Werkneh, Zahid A Butt, Paulina A. Lindstedt, Gregory M. Garcia, Balbir Bagicha Singh, Daniel Bekele Ketema, Genet Melak Alamene, Andem Effiong, André Faro, Amit Arora, Mohammad Hossein Khosravi, Dhirendra N Sinha, Amir Kasaeian, Ali Kabir, Josephine W. Ngunjiri, Hosni Salem, Sharareh Eskandarieh, Akhil Soman ThekkePurakkal, Anwar Ahmed, Tanuj Kanchan, Mu'awiyyah Babale Sufiyan, Bhaskaran Unnikrishnan, Daniel J. Weiss, Ziad El-Khatib, Jorge Cano, Javad Nazari, Ashish Pathak, Krishna Kumar Aryal, Nuruzzaman Khan, Roghayeh Mohammadibakhsh, Seyed-Mohammad Fereshtehnejad, Serge Resnikoff, Dharmesh Kumar Lal, Habtamu Kebebe Kasaye, Harish Chander Gugnani, Ali S. Akanda, Mohammad Hifz Ur Rahman, Muluken Bekele Sorrie, Vivekanand Jha, Abdu A. Adamu, Zulfiqar A. Bhutta, Mohsen Afarideh, Tiffany K. Gill, Nelson Alvis-Guzman, Oliver J. Brady, Ebrahim Babaee, Takahiro Tabuchi, Alebachew Fasil, Anusha Ganapati Bhat, Marwa Rashad Salem, Till Winfried Bärnighausen, Sadaf G. Sepanlou, Paula Moraga, J. Car, Hoa Thi Do, Samad Azari, hawariat, Cuong Tat Nguyen, Michelle L. Bell, Mohamed I Hegazy, Mehedi Hasan, Mamusha Aman Hussen, Erkin M. Mirrakhimov, Seyed Hossein Yahyazadeh Jabbari, Santi Martini, Vishnu Renjith, Haileab Fekadu Wolde, Chabila C Mapoma, Aubrey J. Levine, Solomon Gedlu Nigatu, Hamid Yimam Hassen, Anh Kim Dang, S. Mohammad Sajadi, Francisco Rogerlândio Martins-Melo, Shankar M Bakkannavar, Doris D. V. Ortega-Altamirano, Kala M. Mehta, Boris Bikbov, Assefa Desalew, Carsten Flohr, Yahya Safari, Michael R.M. Abrigo, Mohammad Moradi-Joo, Jan-Walter De Neve, Carlos A Castañeda-Orjuela, Julia Moreira Pescarini, Saeed Amini, Mehdi Ahmadi, Benjamin Uzochukwu, Anas M. Saad, Robert C. Reiner, Ammar Albujeer, Narayan Bahadur Mahotra, Nelson J. Alvis-Zakzuk, Teferi Mekonnen, Lauren E. Schaeffer, Irina Filip, Ali Yadollahpour, Ali Kiadaliri, Hamed Zandian, Fisaha Haile Tesfay, Seyed Mohammad Riahi, Nader Jahanmehr, Yuming Guo, Rafael Tabarés-Seisdedos, Paramjit Gill, Ketema Bizuwork Gebremedhin, Nicole Davis Weaver, Surendra Karki, Masoud Behzadifar, Vo Dinh Bay, Giang Hai Ha, Nizal Sarrafzadegan, In-Hwan Oh, Puja C Rao, Van Charles Lansingh, Kewal Krishan, Hany Aref, Man Mohan Mehndiratta, Shymaa Enany, Ayman Grada, Amador Goodridge, Salvatore Rubino, Zemenu Tadesse Tessema, Maheswar Satpathy, Amir Radfar, Aparna Lal, Isaac Akinkunmi Adedeji, Mehdi Naderi, Siavash Rahimi, Animut Alebel, Mohammad Rabiee, Diana Fernanda Bejarano Ramirez, Sivan Yegnanarayana Iyer Saraswathy, Sojib Bin Zaman, Alem Girmay, Ansariadi Ansariadi, Abdallah M. Samy, Mario Poljak, G Anil Kumar, Beatriz Paulina Ayala Quintanilla, Andrew S. Azman, Ronny Westerman, Thomas R. Hird, Themba G. Ginindza, Babak Moazen, Feleke Gebremeskel W, Meghdad Pirsaheb, Shally Awasthi, Morenike Oluwatoyin Folayan, Roman Topor-Madry, Phetole Walter Mahasha, Kamarul Imran Musa, Hebat Allah Salah A. Yousof, Afsaneh Arzani, Yousef Veisani, Farshad Pourmalek, Sharath Burugina Nagaraja, Ayesha Humayun, Michael Tamene Haile, Kiomars Sharafi, Wasiq Faraz Rawasia, Zoubida Zaidi, Getachew Mullu Kassa, Tsegaye Lolaso Lenjebo, Maryam Khayamzadeh, Nima Hafezi-Nejad, Mohammad Zamani, Takeshi Fukumoto, Masoud Foroutan, Noore Alam, Simin Mouodi, Miliva Mozaffor, Khanh Bao Tran, Farnam Mohebi, Sanjay Basu, Robert L. Thompson, Behzad Heibati, Santosh Varughese, Olayinka Stephen Ilesanmi, Neeraj Bedi, Hafiz Ansar Rasul Suleria, Oluchi Ezekannagha, Gabriel Martinez, Getinet Ayano, Farah Daoud, Konrad Pesudovs, Julio Cesar Campuzano Rincon, Tukur Dahiru, Mehdi Hosseinzadeh, Andualem Henok, Mina Anjomshoa, Rovshan Khalilov, Ai Koyanagi, Raaj Kishore Biswas, Navid Manafi, Yousef Mohammad, Keivan Ahmadi, Seyyed Shamsadin Athari, Binaya Chalise, Masood Ali Shaikh, Joan B. Soriano, Victor Adekanmbi, Seid Tiku Mereta, Delia Hendrie, Vijay Kumar Chattu, Gebrekiros Gebremichael Meles, Si Si, Manasi Kumar, Netsanet Fentahun, Amira Shaheen, Seyyede Masoume Athari, Marcos Roberto Tovani-Palone, Ben Lacey, Peter Njenga Keiyoro, Yared Asmare Aynalem, Entezar Mehrabi Nasab, K M Shivakumar, Tewodros Eshete Wonde, Dessalegn Ajema Berbada, Yahya Salimi, Adnan Kisa, Hisham Atan Edinur, Benn Sartorius, Kate E. LeGrand, Azadeh Shafieesabet, Richard C. Franklin, Dara K. Mohammad, Naznin Hossain, Mona M. Khater, Reta Tsegaye Gayesa, Natalie Maria Cormier, Ghulam Mustafa, Ehsan Sadeghi, Nikolay Ivanovich Briko, Robert S. Bernstein, Samiah Alam, Duduzile Ndwandwe, Andrew T Olagunju, Obinna Onwujekwe, B. Suresh Kumar Shetty, Behnam Heidari, Arianna Maever L. Amit, John S. Ji, Pushpendra Kumar, Sangram Kishor Patel, Vera Marisa Costa, Yafeng Wang, Irfan Ullah, Sahar Saeedi Moghaddam, Virendra Singh, Tufa Kolola, Mehdi Yaseri, Abdullah Al Mamun, Hilton Y. Lam, Diego Augusto Santos Silva, Samath D Dharmaratne, Hajer Elkout, Yoshan Moodley, Linda Morales, Adrian Pana, Nauman Khalid, Hassen Mohammed, Fakher Rahim, Emma Elizabeth Spurlock, Mika Shigematsu, Bryan L. Sykes, Isaac Oluwafemi Dipeolu, Platon D. Lopukhov, Marzieh Nojomi, Khalid A Altirkawi, Dessalegn Haile, Mohsen Bayati, Senthilkumar Balakrishnan, Mohammad Ali Sahraian, Yasir Waheed, Ernoiz Antriyandarti, Tomohide Yamada, Alireza Rafiei, Bruno Ramos Nascimento, Ian Pollock, Ahamarshan Jayaraman Nagarajan, Kebede Embaye Gezae, Anton Sokhan, Mehran Shams-Beyranvand, Junaid Khan, Jacqueline Elizabeth Alcalde-Rabanal, Enrico Rubagotti, Mehran Alijanzadeh, Gillian I. Hollerich, Ismael R. Campos-Nonato, Eleonora Dubljanin, Itamar S. Santos, Wubalem Fekadu, Ole Frithjof Norheim, Florian Fischer, Kedir Hussein Abegaz, Nihal Thomas, Alaa Badawi, Amir Hasanzadeh, Nasir Salam, Muhammad Ali, Mohammad Ali Mansournia, Marcel Ausloos, Ensiyeh Jenabi, Bruno Piassi Sao Jose, Edgar Denova-Gutiérrez, Jae Il Shin, Jacob Olusegun Olusanya, Mohammad Hasan Imani-Nasab, Rajesh Sagar, Ahmed Abdelalim, Benjamin K. Mayala, Fatemeh Heydarpour, Maysaa El Sayed Zaki, Shiwei Liu, Soraya Siabani, Jonathan F. Mosser, Veincent Christian Filipino Pepito, Andre Rodrigues Duraes, Valery L. Feigin, Yuan-Pang Wang, Mathew M. Baumann, Saravanan Muthupandian, Ingan Ukur Tarigan, Jasvinder A. Singh, Sebastian Vollmer, Felix Akpojene Ogbo, Alan J Thomson, Agus Sudaryanto, Birhanu Geta Meharie, Mihajlo Jakovljevic, Ahsan Saleem, Ali S. Shalash, Rakhi Dandona, Mojtaba Bagherzadeh, Ahmed Abualhasan, Muhammad Shahdaat Bin Sayeed, Meghnath Dhimal, Yves Miel H Zuniga, Akram Pourshams, Ionut Negoi, Yilma Chisha Dea Geramo, Franz Castro, Nefsu Awoke, Vahid Alipour, Rosario Cárdenas, Mohammad Khazaei, Mitchell T. Wallin, Yonatal Mesfin Tefera, Sanjay Zodpey, Bolajoko O. Olusanya, Ziad A. Memish, Taddese Alemu Zerfu, Claudio Alberto Dávila-Cervantes, Samer Hamidi, Gbenga A. Kayode, Peter Memiah, Sheikh Mohammed Shariful Islam, Francesco Saverio Violante, Bartosz Miazgowski, Babak Eshrati, Moses K. Muriithi, Mihiretu Kebede, Mowafa Househ, Monika Sawhney, Preeti Dhillon, Desta Haftu Hayelom, Ajay Patle, Thirunavukkarasu Sathish, Krittika Bhattacharyya, Hiroshi Yatsuya, Jaifred Christian F. Lopez, Barthelemy Kuate Defo, Arash Ziapour, Paul H. Lee, Emerito Jose A. Faraon, Seyed Sina Naghibi Irvani, Hagos Tasew Atalay, Tariq Jamal Siddiqi, Rafael Alves Guimarães, Aziz Sheikh, Adauto Martins Soares Filho, Eun-Kee Park, Kirsten E. Wiens, Hai Quang Pham, Berhe Etsay Tesfay, G. K. Mini, Zewdie Aderaw Alemu, Hedley Quintana, Milena Santric-Milicevic, Rajat Das Gupta, Parvaiz A Koul, Edson Serván-Mori, Foad Abd-Allah, Rahul Gupta, Dereje Bayissa Demissie, Chinwe Juliana Iwu, Gabrielle B. Britton, Colm McAlinden, Ayenew Negesse Abejie, Mohsen Naghavi, Maarten J. Postma, Chhabi Lal Ranabhat, Liliana Preotescu, Walter Mendoza, Manfred S. Green, Mahesh P A, Somayeh Bohlouli, Huong Lan Thi Nguyen, Khaled Khatab, Ziyad Al-Aly, Ali H. Mokdad, Aditya P Dash, Andre M. N. Renzaho, Muhammad Aziz Rahman, Ghobad Moradi, Ruth W Kimokoti, Jalal Arabloo, Kimberly B. Johnson, Seyyed Meysam Mousavi, Hesham M. Al-Mekhlafi, D. R. Mahadeshwara Prasad, Rufus A. Adedoyin, Arash Tehrani-Banihashemi, Govinda Prasad Dhungana, Engida Yisma, Azeem Majeed, Dina Nur Anggraini Ningrum, Hagazi Gebre Meles, Hala Elhabashy, Devasahayam J. Christopher, Malede Mequanent Sisay, Juan Sanabria, Gebre Teklemariam Demoz, Leonardo Roever, Shishay Wahdey Tekelemedhin, Guoqing Hu, Yousef Khader, Heather J. Zar, Hamideh Salimzadeh, Ali Bijani, Mehdi Sayyah, Shanshan Li, Kebreab Paulos, Tefera Chane Mekonnen, Mahya Beheshti, Siamak Sabour, Izza Shahid, Tuomo J. Meretoja, Ireneous N. Soyiri, Luca Ronfani, James Albright, Brijesh Sathian, Maciej Banach, Hasan Yusefzadeh, Rahman Shiri, Girmay Teklay Weldesamuel, Mekdes Tigistu Yilma, Taweewat Wiangkham, Soewarta Kosen, Fernando de la Hoz, Mohammed Shannawaz, Luis Camera, Nevine El Nahas, Paul S. F. Yip, Miguel A Barboza, Ibrahim Abdollahpour, Augustine Mwangi Gatotoh, Gurudatta Naik, Kebede Deribe, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), Instituto de Saúde Pública da Universidade do Porto, IRAS OH Epidemiology Chemical Agents, Local Burden of Disease WaSH Collaborator, Violante FS, Public Health, Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, GeoHealth, HUS Comprehensive Cancer Center, Clinicum, University of Helsinki, Department of Oncology, Yisma, Engida, and Local Burden of Disease WaSH Collaborators
Subjects: Drinking water access, Sanitation, Universal design, Geographic Mapping, Socioeconomic Factor, DISEASE, 0302 clinical medicine, RA0421, Hygiene, 11. Sustainability, Global health, 030212 general & internal medicine, media_common, 2. Zero hunger, Public health, lcsh:Public aspects of medicine, 1. No poverty, General Medicine, 3142 Public health care science, environmental and occupational health, 6. Clean water, Low-income countries, 3. Good health, A990 Medicine and Dentistry not elsewhere classified, CHILD GROWTH, TERRITORIES, HYGIENE, Human, 0605 Microbiology, Diarrhea, AFRICA, medicine.medical_specialty, media_common.quotation_subject, 030231 tropical medicine, Local Burden of Disease WaSH Collaborators, Developing country, Article, Geographical inequalities, 1117 Public Health and Health Services, 12. Responsible consumption, Developing Countrie, 03 medical and health sciences, NUTRITIONAL INTERVENTIONS, Environmental health, medicine, SYSTEMATIC ANALYSIS, Humans, QUALITY, Sanitation/statistics & numerical data, Open defecation, Improved sanitation, hand washing, Developing Countries, Models, Statistical, Middle-income countries, Drinking Water, lcsh:RA1-1270, Bayes Theorem, GLOBAL BURDEN, diarrheal disease, DIARRHEA, Diarrhea/epidemiology, Local Burden of Disease WaSH Collaborator, Socioeconomic Factors, 0605 Microbiology, 1117 Public Health and Health Services, ITC-ISI-JOURNAL-ARTICLE, Business, Human medicine, Sanitation facilities, ITC-GOLD
Abstract: Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce highresolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings: Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4–40·7) to 50·3% (50·0–50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1–46·5) in 2017, compared with 28·7% (28·5–29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2–89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664–711) of the 1830 (1797–1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6–80·7) of countries from 2000 to 2017, and in 53·9% (50·6–59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpretation: Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation. This work was primarily supported by a grant from the Gates Foundation (OPP1132415). LGA has received support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Finance Code 001), Conselho Nacional de Desenvolvimento Científico e Tecnológico and Fundação de Amparo à Pesquisa do Estado de Minas Gerais. OOA acknowledges the Department of Science and Innovation, National Research Foundation, and DSI/NRF Centre of Excellence for Epidemiological Modelling and Analysis, Stellenbosch, South Africa. SMAl acknowledges the Department of Health Policy and Management, Faculty of Public Health, Kuwait University and International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia for the approval and support to participate in this research project. HTA acknowledges Aksum University. MAu and CH are partly supported by a grant from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. AAz acknowledges funding from the Gates Foundation (OPP1171700). ABad is supported by the Public Health Agency of Canada. TWB was supported by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research; the EU; the Wellcome Trust; and from National Institute of Child Health and Human Development of National Institutes of Health (NIH; R01-HD084233), National Institute on Aging of NIH (P01AG041710), National Institute of Allergy and Infectious Diseases of NIH (R01-AI124389 and R01-AI112339), as well as Fogarty International Center of NIH (D43-TW009775). DABen was supported by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the National Health Service, the NIHR, or the UK Department of Health and Social Care. GBB is supported by Sistema Nacional de Investigación (SNI) de la Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT) of Panamá. FCar acknowledges UID/ MULTI/04378/2019 and UID/QUI/50006/2019 support with funding from FCT/Ministério da Ciência, Tecnologia e Ensino Superior through national funds. VMC acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. JDN acknowledges support from the Alexander von Humboldt Foundation. DBD acknowledges support from the Gates Foundation. KD is supported by a Wellcome Trust grant (number 201900/Z/16/Z) as part of his International Intermediate Fellowship. AGo acknowledges Sistema Nacional de Investigadores de Panamá (SNI), Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). CH is partly supported by a grant co-funded by European Fund for Regional Development through the Operational Program for Competitiveness (project ID P_40_382). SMSI is funded by a Fellowship from National Heart Foundation of Australia and Deakin University. MJ and the Serbian part of this GBD contribution was co-funded through grant OI175014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. JK is a recipient of the 2020 Benjamin V Cohen Peace Fellowship from Ball State University Center for Peace and Conflict Studies. YJK’s work was supported by the Research Management Centre, Xiamen University Malaysia, grants number XMUMRF/2018-C2/ ITCM/0001. KKr is supported by a DST PURSE grant and UGC Center of Advanced Study awarded to the Department of Anthropology, Panjab University, Chandigarh, India. BL acknowledges support from the NIHR Oxford Biomedical Research Centre and the British Heart Foundation Centre of Research Excellence, Oxford. PTNM acknowledges the Council for the Development of Social Science Research in Africa. ANA acknowledges Debre Markos University for its support in-terms of office and internet access while reviewing this paper. AMSam received a fellowship from the Egyptian Fulbright Mission programme. MMS-M acknowledges the support of the Ministry of Education, Science and Technological Development of the Republic of Serbia (contract number 175087). AShi acknowledges the support of Health Data Research UK. MRS acknowledges the Clinical Research Development Center of Imam Reza Hospital, Kermanshah university of Medical sciences for their wise advice. JBS is part of Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. RT-S was supported in part by grant PI17/00719 from Instituto de Salud Carlos III–FEDER. BU acknowledges Manipal Academy of Higher Education, Manipal. TWij acknowledges the Migraine Foundation Australia and the Department of Medicine, Faculty of Medicine, University of Rajarata, Saliyapura, Anuradhapuraya, Sri Lanka. CSW was supported by the South African Medical Research Council. SBZ received a scholarship from the Australian Government research training program in support of his academic career.
Published: 2020
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18. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017

Author: Manisha Dubey, Fatemeh Rajati, Mehran Shams-Beyranvand, Amir Khater, Reza Shirkoohi, Segun Emmanuel Ibitoye, David C. Schwebel, Milena Ilic, Kebede Embaye Gezae, Ali Akbar Fazaeli, Ronny Westerman, Taye Abuhay Zewale, Ravi Mehrotra, Sezer Kisa, Junaid Khan, Jost B. Jonas, Dian Kusuma, Marcel Ausloos, Getnet Gedefaw, Hamed Zandian, Edward J Mills, Aparna Lal, Atalay Goshu Muluneh, Leeberk Raja Inbaraj, Edgar Denova-Gutiérrez, Jacqueline Elizabeth Alcalde Rabanal, Yousef Veisani, Sharath Burugina Nagaraja, Christopher Troeger, Ismael R. Campos-Nonato, Kidane Tadesse Gebremariam, Maysaa El Sayed Zaki, Oliver J. Brady, David Laith Rawaf, Tamer H. Farag, Simin Mouodi, Hafiz Ansar Rasul Suleria, Saleh Salehi Zahabi, Soumyadeep Bhaumik, Samad Azari, Getinet Ayano, Faris Lami, Raaj Kishore Biswas, Maryam Adabi, Alaa Badawi, Saravanan Muthupandian, Amir Hasanzadeh, Martin Amogre Ayanore, Maziar Moradi-Lakeh, Mohamad-Hani Temsah, Kavumpurathu Raman Thankappan, Bineyam Taye, Nader Jafari Balalami, Hamid Yimam Hassen, Karzan Abdulmuhsin Mohammad, Paul H. Lee, Emerito Jose A. Faraon, Kewal Krishan, Muhammad Ali, Ehsan Sadeghi, Richard C. Franklin, Dara K. Mohammad, Naznin Hossain, Lal B. Rawal, Alyssa N. Sbarra, Behnam Heidari, Dietrich Rothenbacher, Hagos Tasew Atalay, Eric L. Ding, Noushin Mohammadifard, Nihal Thomas, Man Mohan Mehndiratta, Sanghamitra Pati, Addisu Melese, Niranjan Kissoon, Farzad Manafi, Carl Abelardo T. Antonio, Morteza Abdullatif Khafaie, Meysam Behzadifar, Mohammad Reza Sobhiyeh, Frank B. Osei, Koku Sisay Tamirat, Yahya Salimi, Pranab Chatterjee, Gebreamlak Gebremedhn Gebremeskel, Olatunji O. Adetokunboh, Benjamin K. Mayala, Bhaskaran Unnikrishnan, Zahid A Butt, Olufemi Ajumobi, Fiseha Wadilo Wada, Shafiu Mohammed, Charles Shey Shey Wiysonge, Félix Carvalho, Masresha Tessema Anegago, Yun Jin Kim, Ai-Min Wu, Ketema Bizuwork Gebremedhin, Paulina A. Lindstedt, Ana-Laura Manda, Aziz Eftekhari, Rakhi Dandona, Mehdi Fazlzadeh, Nicole Davis Weaver, Muluken Bekele Sorrie, Marwa Rashad Salem, Kassawmar Angaw Bogale, Dongyu Zhang, Saeed Safari, Vivekanand Jha, Keivan Ahmadi, Turki Alanzi, Amir Jalali, Hamidreza Haririan, Chukwudi A Nnaji, Kebadnew Mulatu Mihretie, Lucas Guimarães Abreu, Gessessew Bugssa Hailu, Surendra Karki, Kirsten E. Wiens, Boikhutso Tlou, Soraya Siabani, Muluken Azage Yenesew, Asnakew Achaw Ayele, Ayalew Jejaw Zeleke, Osayomwanbo Osarenotor, Susanna Dunachie, Marcos Roberto Tovani-Palone, Daniel Bekele Ketema, Tissa Wijeratne, Dessalegn Ajema Berbada, André Karch, Ebrahim Babaee, Akram Pourshams, Seyyed Meysam Mousavi, Bal Govind Chauhan, Giuseppe Remuzzi, Vera Marisa Costa, Mehdi Yaseri, Tahereh Pashaei, Benn Sartorius, Helen Derara Diro, Anelisa Jaca, Mostafa Hosseini, Nikolay Ivanovich Briko, Franz Castro, Cuong Tat Nguyen, Chalachew Genet Akal, Natalie Maria Cormier, Ghulam Mustafa, Sonia Lewycka, Achala Upendra Jayatilleke, David L. Smith, Ibrahim A Khalil, Genet Melak Alamene, George C Patton, Andem Effiong, Gebrekiros Gebremichael Meles, Collins Chansa, Tsegaye Lolaso Lenjebo, Van C. Lansingh, Chabila C Mapoma, Olayinka Stephen Ilesanmi, Aso Mohammad Darwesh, Aubrey J. Levine, Miliva Mozaffor, Till Bärnighausen, Ali Rostami, André Faro, Rushdia Ahmed, Colm McAlinden, Duduzile Ndwandwe, Neeraj Bedi, Irfan Ullah, Winfried März, Rajeev Gupta, Masood Ali Shaikh, Catalina Liliana Andrei, Ali Kazemi Karyani, Shaimaa I. El-Jaafary, Abbas Mosapour, Javad Nazari, Obinna Onwujekwe, Narinder Pal Singh, Dabere Nigatu, Tanuj Kanchan, Jagdish Khubchandani, Aklilu Endalamfaw, Hajer Elkout, Michelle L. Bell, Beyene Meressa Adhena, Evanson Z. Sambala, Nelson Alvis-Guzman, Nefsu Awoke, Mohammad Ali Sahraian, Muki Shey, Christiane Dolecek, Kedir Hussein Abegaz, Syed Ather Hussain, Birhan Tamene Alemnew, Arash Etemadi, Anwar E. Ahmed, Vinay Nangia, Sachin R Atre, Roghiyeh Faridnia, Robert C. Reiner, Rajat Das Gupta, Aniruddha Deshpande, Sanjay Zodpey, Birhanu Geta, Amaha Kahsay, Muktar Beshir Ahmed, Kiana Ramezanzadeh, Jacek Jerzy Jozwiak, Chi Linh Hoang, Bahram Armoon, Manfred Accrombessi, Christopher J L Murray, Ebrahim M Yimer, Rashmi Gupta, Ahmed Omar Bali, Dadi Marami, Arash Tehrani-Banihashemi, Getnet Mengistu, Govinda Prasad Dhungana, Fereshteh Ansari, Dina Nur Anggraini Ningrum, Mu'awiyyah Babale Sufiyan, Harish Chander Gugnani, Ali S. Akanda, Satar Rezaei, Wondimeneh Shibabaw Shiferaw, Irina Filip, Mohammad Fareed, Hagos Degefa Hidru, Morteza Shamsizadeh, Mojtaba Hoseini-Ghahfarokhi, Yared A Asmare Aynalem, Gelin Xu, Zubair Kabir, Khalid A Altirkawi, Beatriz Paulina Ayala Quintanilla, Kenean Getaneh Tlaye, Devasahayam J. Christopher, Malede Mequanent Sisay, Yibeltal Alemu Bekele, Mika Shigematsu, Bryan L. Sykes, Quique Bassat, Jemal Abdu Mohammed, Seyed Mostafa Mir, Moslem Soofi, Nuruzzaman Khan, Ensiyeh Jenabi, Seyed-Mohammad Fereshtehnejad, Alireza Esteghamati, Paramjit Gill, Nathaniel J Henry, Meghnath Dhimal, Hosein Shabaninejad, Trang Huyen Nguyen, Amjad Mohamadi-Bolbanabad, Eugenio Traini, Mohammad Zamani, Arianna Maever L. Amit, Mehran Alijanzadeh, Florian Fischer, Rafael Moreira Claro, Pushpendra Kumar, Shai Linn, Lucas Earl, Haileab Fekadu Wolde, Getenet Dessie, Doris D. V. Ortega-Altamirano, John S. Ji, Moritz U. G. Kraemer, Saeed Amini, Ziad A. Memish, Aisha Elsharkawy, Ken Lee Chin, Mustafa Z. Younis, Daniel Diaz, Hebat Allah Salah A. Yousof, Seifadin Ahmed Shallo, Tomohide Yamada, Adrian Pana, Salman Rawaf, Amir Almasi-Hashiani, Platon D. Lopukhov, Alireza Rafiei, Dragos Virgil Davitoiu, Hossein Poustchi, Ayele Geleto Bali, Francesco Saverio Violante, Leonardo Roever, Giovanni Damiani, Maha El Tantawi, Nuworza Kugbey, Hadi Pourjafar, Michael R.M. Abrigo, Dinh-Toi Chu, Farkhonde Salehi, Phetole Walter Mahasha, Farnam Mohebi, Sathish Thirunavukkarasu, Dharmesh Kumar Lal, Senbagam Duraisamy, Demelash Woldeyohannes Handiso, Eleonora Dubljanin, Takeshi Fukumoto, Biruck Desalegn Yirsaw, Fakher Rahim, Jasvinder A. Singh, Jai K Das, Savita Lasrado, Ana Isabel Ribeiro, Santosh Varughese, Adnan Kisa, Laurie B. Marczak, Amira Shaheen, Peter Njenga Keiyoro, Nader Jahanmehr, Yuming Guo, Arash Ziapour, Alex Yeshaneh, Ninuk Hariyani, Seyed Sina Naghibi Irvani, Sameer Vali Gopalani, Joel M. Francis, Asmamaw Demis, Ahamarshan Jayaraman Nagarajan, Praveen Hoogar, Nicola Luigi Bragazzi, Yunquan Zhang, Yousef Mohammad, Iman El Sayed, Vafa Rahimi-Movaghar, Anbissa Muleta Senbeta, Subramanian Senthilkumaran, Marzieh Nojomi, Tewodros Eshete Wonde, Sameh Magdeldin, Anton Sokhan, Nauman Khalid, Nima Hafezi-Nejad, Ben Lacey, Luca Ronfani, James Albright, Senthilkumar Balakrishnan, Ejaz Ahmad Khan, Khanh Bao Tran, Guoqing Hu, Yousef Khader, Parvaneh Mirabi, Boris Bikbov, Feleke Mekonnen Demeke, Assefa Desalew, Yasir Waheed, Berhe Etsay Tesfay, Julio Cesar Campuzano Rincon, Ernoiz Antriyandarti, Brian J. Hall, James A Platts-Mills, Gbenga A. Kayode, Jan-Walter De Neve, Maria Jesus Rios-Blancas, Navid Manafi, Ravi Prakash Jha, Yilma Chisha Dea Geramo, Hamideh Salimzadeh, Fisaha Haile Tesfay, Abdullah Al Mamun, Ali Bijani, Hedley Quintana, Shanshan Li, Kebreab Paulos, Joan B. Soriano, Victor Adekanmbi, Oladimeji Adebayo, David Teye Doku, Brijesh Sathian, Bakhtiar Piroozi, MohammadBagher Shamsi, Netsanet Fentahun, Shymaa Enany, Ayman Grada, Salvatore Rubino, Kenji Shibuya, Norberto Perico, Sergio I. Prada, Andrea Farioli, Gebremicheal Gebreslassie Kasahun, Mohsen Afarideh, Maciej Banach, Andrey Nikolaevich Briko, Mohsen Asadi-Lari, Rakesh Lodha, David M. Pigott, Bárbara Niegia Garcia de Goulart, Hadi Hassankhani, Daniel Adane Endalew, Siamak Sabour, Yoshan Moodley, Preeti Dhillon, Dilaram Acharya, Anas M. Saad, Ibrahim Abdelmageed Ginawi, Theo Vos, Tuomo J. Meretoja, Ireneous N. Soyiri, Hasan Yusefzadeh, Mohammad Rabiee, Ajay Patle, Rahman Shiri, Girmay Teklay Weldesamuel, Sivan Yegnanarayana Iyer Saraswathy, Mekdes Tigistu Yilma, Davide Guido, Chuanhua Yu, Abdallah M. Samy, Ali Talha Khalil, Ashish Awasthi, Pascual R. Valdez, Nelson G.M. Gomes, Nejimu Biza Zepro, Taweewat Wiangkham, Anthony Masaka, Afsaneh Arzani, Ayesha Humayun, Michael Tamene Haile, Huyen Phuc Do, Krittika Bhattacharyya, Maryam Khayamzadeh, Seth Christopher Yaw Appiah, Mehdi Ahmadi, Farah Daoud, QuynhAnh P Nguyen, Suleman Atique, Sheikh Mohammed Shariful Islam, Indang Trihandini, Mario Poljak, Bartosz Miazgowski, Huda Basaleem, Rafael Alves Guimares, Mina Anjomshoa, Peng Jia, Yafeng Wang, Erkin M. Mirrakhimov, Seyed Hossein Yahyazadeh Jabbari, Itamar S. Santos, Alireza Khatony, Desalegn Tadese Mengistu, Samath D Dharmaratne, S. Mohammad Sajadi, Francisco Rogerlândio Martins-Melo, Shankar M Bakkannavar, Konrad Pesudovs, Tina Beyranvand, Liliana Preotescu, Leticia Avila-Burgos, Enrico Rubagotti, Amira Hamed Darwish, Mahdi Safdarian, Ali Yadollahpour, Vijay Kumar Chattu, Moses K. Muriithi, Azmeraw T. Amare, Si Si, Joshua Longbottom, Somayeh Bohlouli, Khaled Khatab, Masoud Behzadifar, Anusha Ganapati Bhat, G Anil Kumar, Margaret Kosek, Mona M. Khater, Reta Tsegaye Gayesa, Ghobad Moradi, Srinivas Goli, Ruth W Kimokoti, Jalal Arabloo, Kimberly B. Johnson, Andrew T Olagunju, Mowafa Househ, In-Hwan Oh, Arya Haj-Mirzaian, Desta Haftu Hayelom, Jae Il Shin, Ahmed Abdelalim, Catherine A. Welgan, Veincent Christian Filipino Pepito, Andre Rodrigues Duraes, Yuan-Pang Wang, Rosario Cárdenas, Mohammad Khazaei, Sebastian Vollmer, Xiu-Ju Zhao, Mihajlo Jakovljevic, Degu Abate, Ali S. Shalash, Davide Rasella, Melese Abate Reta, Hedayat Abbastabar, Manu Raj Mathur, Aliasghar Ahmad Kiadaliri, Ritesh G. Menezes, Molly K. Miller-Petrie, Beriwan Abdulqadir Ali, Ahmed I. Hasaballah, Joseph Frostad, Eirini Skiadaresi, Aleksandra Barac, Simon I. Hay, Deborah Carvalho Malta, Brigette F. Blacker, Carlo La Vecchia, Eduarda Fernandes, Chandrashekhar T Sreeramareddy, Zewdie Aderaw Alemu, Foad Abd-Allah, Elias Merdassa Roro, Agus Sudaryanto, Fariba Ghassemi, Behzad Karami Matin, Mohsen Naghavi, Maarten J. Postma, Chhabi Lal Ranabhat, Maheswar Satpathy, Mahesh P A, Carlos Miguel Rios González, Pallab K. Maulik, Amir Kasaeian, Ali H. Mokdad, Alemayehu Toma Mena, Tamirat Tesfaye Dasa, Abdur Razzaque Sarker, Andre M. N. Renzaho, Muhammad Aziz Rahman, Ali Kabir, Josephine W. Ngunjiri, Aberash Abay Tassew, Kala M. Mehta, Ionut Negoi, Hosni Salem, Hesham M. Al-Mekhlafi, Sharareh Eskandarieh, Rufus A. Adedoyin, Saleem M Rana, Engida Yisma, Sahel Valadan Tahbaz, Hossein Farzam, Krishna K. Aryal, Lalit Dandona, Masoud Moradi, Juan Sanabria, Gebre Teklemariam Demoz, Naser Mohammad Gholi Mezerji, Shirin Djalalinia, Suraj Bhattarai, Ammas Siraj Mohammed, Claudiu Herteliu, Dawit Zewdu Wondafrash, Mohsen Bayati, Arvin Haj-Mirzaian, Gulfaraz Khan, Mostafa Leili, Nasir Salam, Ehsan Khodamoradi, Jean Jacques Noubiap, Vahid Alipour, Mohammad Ali Mansournia, Rajesh Sagar, Jagadish Rao Padubidri, Manasi Kumar, Mehdi Sharif, Fatemeh Heydarpour, Navid Rabiee, Gvs Murthy, Hamed Kalani, Mayowa O. Owolabi, Claudio Alberto Davila, Oluchi Okpala, Shivakumar K.M. Kondlahalli, Mathew M. Baumann, Bereket Duko Adema, Lorenzo Monasta, Paul S. F. Yip, Mohammad Hossein Khosravi, Rizwan Suliankatchi Abdulkader, Ibrahim Abdollahpour, Dhirendra N Sinha, Farid Najafi, Kebede Deribe, Paula Moraga, Mehedi Hasan, Mohammad Moradi-Joo, Melkamu Merid Mengesha, Temesgen Yihunie Akalu, Vishnu Renjith, Syed Mohamed Aljunid, Zemenu Tadesse Tessema, Amir Radfar, Nuno Taveira, Masoud Foroutan, Demelash Abewa Elemineh, Chinwe Juliana Iwu, Kamarul Imran Musa, Getaneh Alemu Abebe, Farshad Pourmalek, Olatunde Aremu, Mohammad Reza Salahshoor, Derrick A Bennett, Ahmad Daryani, Alebachew Fasil Ashagre, Apurba Shil, Narayan Bahadur Mahotra, Nelson J. Alvis-Zakzuk, Lauren E. Schaeffer, Alexandre C. Pereira, Mehdi Naderi, Mehdi Hosseinzadeh, Rovshan Khalilov, Ai Koyanagi, Salman Khazaei, Jennifer Rickard, Ali Almasi, Sandra B. Munro, Carlos Zambrana-Torrelio, Naohiro Yonemoto, Ahmad Ghashghaee, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), Instituto de Saúde Pública da Universidade do Porto, Local Burden Dis Diarrhoea, Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, GeoHealth, Reiner, Robert C, Wiens, Kirsten E, Deshpande, Aniruddha, Baumann, Mathew M, Adema, Bereket Duko, Yirsaw, Biruck Desalegn, Yisma, Engida, Hay, Simon I, Local Burden of Disease Diarrhoea Collaborators, Tampere University, Health Sciences, University of Helsinki, Institute for Molecular Medicine Finland, Clinicum, HUS Comprehensive Cancer Center, Local Burden of Disease Diarrhoea Collaborator, and Violante FS
Subjects: Low income countries, medicine.medical_treatment, 030204 cardiovascular system & hematology, Global Health, THERAPY, Global Burden of Disease, 0302 clinical medicine, Prevalence, Global health, Medicine, WATER, 030212 general & internal medicine, Children, 11 Medical and Health Sciences, Incidence, Mortality rate, Incidence (epidemiology), 1. No poverty, General Medicine, 3142 Public health care science, environmental and occupational health, Diarrhoea, 3. Good health, Child, Preschool, Middle income countries, A990 Medicine and Dentistry not elsewhere classified, TERRITORIES, Life Sciences & Biomedicine, Infants, Diarrhea, AFRICA, medicine.medical_specialty, Childhood deaths, RJ, sanitation, Developing country, Childhood diarrhoeal morbidity, ITC-HYBRID, 03 medical and health sciences, Medicine, General & Internal, General & Internal Medicine, Environmental health, SYSTEMATIC ANALYSIS, Life Science, Humans, Healthcare Disparities, Oral rehydration therapy, Risk factor, hand washing, Developing Countries, Disease burden, Global Nutrition, Wereldvoeding, Science & Technology, SEX-SPECIFIC MORTALITY, business.industry, CHOLERA, Public health, Bayes Theorem, diarrheal disease, Local Burden of Disease Diarrhoea Collaborators, ITC-ISI-JOURNAL-ARTICLE, NA, Human medicine, Diarrea, business
Abstract: Background: Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea. Methods: We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates. Findings: The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54·0% (95% uncertainty interval [UI] 38·1-65·8), 17·4% (7·7-28·4), and 59·5% (34·2-86·9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage. Interpretation: By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health. This work was primarily supported by a grant from the Bill & Melinda Gates Foundation (OPP1132415). S Aljunid reports additional funding from the International Centre for Casemix and Clinical Coding, Faculty of Medicine, National University of Malaysia and Department of Health Policy and Management, Faculty of Public Health, Kuwait University for the approval and support to participate in this research project outside of the study. A Awasthi is supported by the Department of Science and Technology, Government of India, New Delhi, through the INSPIRE Faculty Program outside of the study. A Badawi reports additional funding from the Public Health Agency of Canada outside of the study. A Barac reports additional funding from the Project of Ministry of Education, Science and Technology of the Republic of Serbia (no III45005) outside of the study. T Bärnighausen reports additional funding by the Alexander von Humboldt Foundation through the Alexander von Humboldt Professor award, funded by the German Federal Ministry of Education and Research outside of the study. F Carvalho and E Fernandez report additional funding from the Portuguese national funds (UID/MULTI/04378/2019 and UID/QUI/50006/2019) outside of the study. V M Costa reports additional funding from Fundação da Ciência e Tecnologia (FCT) for her grant (SFRH/BPD/110001/2015), which was funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, IP, under the Norma Transitória – DL57/2016/CP1334/CT0006 outside of the study. J De Neve reports additional funding from the Alexander von Humboldt Foundation outside of the study. K Deribe reports additional funding from the Wellcome Trust (grant number 201900) as part of his International Intermediate Fellowship outside of the study. D Endalew and M Moradi report additional funding from Wolkite University. M Ausloos, C Herteliu, and A Pana report additional funding from the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI (project number PN-III-P4-ID-PCCF-2016-0084) outside of the study. C Herteliu reports additional funding from the European Fund for Regional Development through Operational Program for Competitiveness (Project ID P_40_382) and the European Fund for Regional Development, through InterReg Romania-Hungary (project code EMS ROHU 217) outside of the study. P Hoogar reports additional funding from the Centre for Holistic Development and Research (CHDR), Kalaghatagi and The Department of Studies in Anthropology, Karnatak University, D S Islam reports additional funding from the National Heart Foundation of Australia and the Institute for Physical Activity and Nutrition, Deakin University outside of the study. A Khatony reports additional funding from the Clinical Research Development Center of Imam Reza Hospital in Kermanshah outside of the study. J Khubchandani reports additional funding from Merck Research Laboratories outside of the study. K Krishan reports additional funding from the UGC Center of Advanced Study (CAS II) awarded to the Department of Anthropology, Panjab University, Chandigarh, India outside of the study. M Kumar reports additional funding from the Fogarty Foundation/NIH through a K43 award (TW010716-01A1) outside of the study. B Lacey reports additional funding from the National Institute for Health Research Oxford Biomedical Research Centre and the British Heart Foundation Centre of Research Excellence (Oxford, UK) outside of the study. A M Samy reports additional funding from the Egyptian Fulbright Mission Program (EFMP) outside of the study. S Seyedmousavi reports additional funding from the Intramural Program of National Institute of Health Clinical Center, Bethesda, MD, USA outside of the study. M Shey reports additional funding from the Wellcome Trust Kenji Shibuya reports additional funding from Japan's Ministry of Health, Labour and Welfare and Japan's Ministry of Education, Culture, Sport, Science and Technology outside of the study. M Sobhiyeh reports additional funding from the Clinical Research Development Center of Imam Reza Hospital, Kermanshah University of Medical Sciences outside of the study. J Soriano reports additional funding from Centro de Investigación en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII), Madrid, Spain outside of the study. N Taveira reports additional funding from the LIFE study (RIA2016MC-1615) of the European and Developing Countries Clinical Trials Partnership (EDCTP) program supported by the European Union outside of the study. B Unnikrishnan reports additional funding from the Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India outside of the study. T Wijeratne reports additional funding from the Department of Medicine, Faculty of Medicine, University of Rajarata, Saliyapura, Sri Lanka outside of the study. C S Wiysonge reports additional funding from the South African Medical Research Council and the National Research Foundation of South Africa outside of the study.
Published: 2020

19. Pushing the envelope: A unique case of successful treatment of diquat poisoning with multiorgan dysfunction

Author: George Varghese, Mohsin Nazeer, Navin Patil, Shanti Gurung, Shankar M Bakkannavar, and Karthik Rao
Subjects: Pathology, medicine.medical_specialty, chemistry.chemical_compound, chemistry, business.industry, medicine, Multiorgan dysfunction, business, Diquat, Pathology and Forensic Medicine, Envelope (waves)
Published: 2020
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20. Amniotic Fluid Embolism -A Rare Case Report

Author: M Nayak Deepak, Sowmya Shashidhara, Shankar M Bakkannavar, Ashwini Kumar, and Vrinda Chopra
Subjects: Amniotic fluid embolism, medicine.medical_specialty, business.industry, Rare case, Medicine, Toxicology, business, medicine.disease, Pathology and Forensic Medicine, Surgery
Published: 2020
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21. Acute Mesenteric Ischemia Due to Amphetamine Use -A Case Report

Author: Ashwini Kumar, Arpita Pradhan, Shankar M Bakkannavar, Nirmal Krishnan, Vinod C Nayak, Vikram Palimar, and Anitha Shivaji
Subjects: Gangrene, Drugs of abuse, business.industry, Methamphetamine, Toxicology, medicine.disease, Small intestine, Pathology and Forensic Medicine, Acute mesenteric ischemia, medicine.anatomical_structure, Mesenteric ischemia, Anesthesia, medicine, Amphetamine use, Amphetamine, business, medicine.drug
Abstract: Introduction: Mesenteric ischemia is the cause leading to gangrene of the small intestine. The cause being atherosclerosis and is commonly seen in old individuals. However, in young patients, it is a rare phenomenon and the cause can be attributed to drugs of abuse such as cocaine, methamphetamine which makes our case distinct.
Published: 2020
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22. Multicast routing with delay and delay variation constraints for collaborative applications on overlay networks

Author: Banik, Shankar M., Radhakrishnan, Sridhar, and Sekharan, Chandra N.
Subjects: Distributed processing (Computers) -- Methods, Algorithms -- Analysis, Computer network protocols -- Analysis, Multicasting, Distributed processing (Computers), Algorithm, Protocol, Business, Computers, Electronics, Electronics and electrical industries
Abstract: An efficient heuristic is provided to obtain a multicast subnetwork on an overlay network, given a source and a set of destinations that is within a specified maximum delay and a specified maximum variation in the delays from a source to the destinations. Extensive empirical studies show that the heuristic uses considerably less runtime in comparison with the best-known heuristic while achieving the tightest delay variation for a given end-to-end delay bound.
Published: 2007

23. Multicast Routing Using Delay Intervals for Collaborative and Competitive Applications

Author: Breeanne Baker Swart, James Andrus, Shankar M. Banik, and Michael P. Verdicchio
Subjects: 020203 distributed computing, Multicast, Computer science, business.industry, Quality of service, 020206 networking & telecommunications, 02 engineering and technology, Tree (graph theory), Path (graph theory), 0202 electrical engineering, electronic engineering, information engineering, Interval (graph theory), Electrical and Electronic Engineering, Routing (electronic design automation), business, Computer network
Abstract: Collaborative and competitive applications require that participants receive messages almost simultaneously and before a specified time. These requirements have been addressed by the delay variation-bounded multicasting tree (DVBMT) problem. In this paper, we propose the interval multicast subgraph (IMS) problem to address these requirements. IMS addresses these constraints with an interval of acceptable delay values for paths as user input from a source to a destination, eliminating the need to optimize delays for a variation value. By solving IMS rather than DVBMT and other variants of DVBMT, we are able to find solutions for larger graphs more efficiently. Our proposed interval multicast algorithm (IMA) accounts for an interval of acceptable delay as user input and guarantees the weight of each path from the source to a distinct destination is within the given interval if that path exists. We provide proofs of correctness and complexity of IMA, as well as simulation experiments, to illustrate the effects of various parameters on our algorithm. Simulations show that IMS is significantly less costly than finding the minimum variation for the average and best case. By remodeling the DVBMT problem to IMS, we have created a new problem that addresses the quality of service requirements of multicasting and is able to be solved efficiently for the average case for relatively large graphs.
Published: 2018
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24. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter. (Communications)

Author: Gang, Luo, Chutatape, Opas, and Krishnan, Shankar M.
Subjects: Biomedical engineering -- Research, Retina -- Blood-vessels, Fundus oculi -- Research, Biological sciences, Business, Computers, Health care industry
Abstract: In this paper, the fitness of estimating vessel profiles with Gaussian function is evaluated and an amplitude-modified second-order Gaussian filter is proposed for the detection and measurement of vessels. Mathematical analysis is given and supported by a simulation and experiments to demonstrate that the vessel width can be measured in linear relationship with the 'spreading factor' of the matched filter when the magnitude coefficient of the filter is suitably assigned. The absolute value of vessel diameter can be determined simply by using a precalibrated line, which is typically required since images are always system dependent. The experiment shows that the inclusion of the width measurement in the detection process can improve the performance of matched filter and result in a significant increase in success rate of detection. Index Terms--Fundus image, matched filter, retinal vessel, vessel measurements.
Published: 2002

25. PATTERNS OF PRESENTATION OF FUNGAL KERATITIS IN TERTIARY CARE HOSPITAL

Author: Uday Sridhar Mulgund, Ravi Shankar M, and Satish Kumar S
Subjects: medicine.medical_specialty, business.industry, lcsh:R5-130.5, Keratomycosis, Tertiary care hospital, medicine.disease, Antifungal Drugs, medicine, Fungal keratitis, Presentation (obstetrics), Intensive care medicine, business, Fungal Keratitis, lcsh:General works, KOH
Abstract: BACKGROUND Fungal keratitis is one of the major cause of visual loss in developing countries. A contributing factor for the development of fungal infection is ocular trauma and contamination of corneal lesions by soil and vegetative material. Another factor being widespread use of broad-spectrum antibiotics, steroids and contact lens wear. According to the World Health Organization report, it is estimated that ocular trauma and corneal ulceration result in 1.5 to 2 million new patients of corneal blindness annually. In India, the incidence of corneal ulceration is reported to be 1130 per million population. Corneal infection of fungal aetiology is common in India (19-45%). Corneal infection of fungal aetiology is very common and may represent 30 to 40% of all cases of culture-positive infectious keratitis in South India.4 more than 70 species of filamentous fungi have been identified as the aetiological agents of fungal keratitis. Of these, Aspergillus and Fusarium are responsible for 70% of cases. The aim of the study is to study the- 1. Clinical presentation, contributing and precipitating factors for fungal keratitis and prognosis with regard to the available mode of therapy. 2. Investigations regarding the type of fungus and the statistical significance regarding the common type of fungi that involve the cornea. MATERIALSAND METHODS All cases of keratitis that presented were investigated with KOH wet mount and fungal culture. Histopathological diagnosis was made with the report of fungal culture. All cases of fungal keratitis were treated with antifungal and clinically studied in the Department of Ophthalmology, KIMS, Hubli, from 1 stJanuary, 2016 - December 2016. RESULTS In the clinical study of fungal keratitis, out of 62 cases, suppurative keratitis 30(48.38%) cases were fungal keratitis on clinical suspicion and fungal staining. CONCLUSION India being an agricultural country, the incidence of fungal keratitis is significantly high. Fungal keratitis has tendency to progress slowly with minimal symptoms, hence the patients are provoked to apply local native medicines and approach the doctor very late. Lack of laboratory identification especially in peripheral hospital adds to the problem. With timely specific treatment, one can combat the disease efficiently and thus prevent the eye going in for blindness.
Published: 2017

26. Data Mining Model for Effective Data Analysis of Higher Education Students Using MapReduce

Author: Shankar M. Patil and Praveen Kumar
Subjects: World Wide Web, Higher education, business.industry, Computer science, Data mining, business, computer.software_genre, Data science, computer
Published: 2017
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27. Classification System to Predict Universities for Students using Fuzzy Logic

Author: Gayatri Nair and Shankar M. Patil
Subjects: Computer science, business.industry, Artificial intelligence, business, Fuzzy logic
Published: 2017
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28. Frequency of Bacterial Pathogens and Antibacterial Susceptibility Pattern of Isolates from Blood Culture – A Retrospective Study from a Tertiary Care Hospital

Author: P. Shankar M. Kavitha
Subjects: medicine.medical_specialty, medicine.diagnostic_test, Antibacterial susceptibility, business.industry, Internal medicine, Medicine, Blood culture, Retrospective cohort study, Tertiary care hospital, business, Microbiology
Published: 2017
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29. CHRONIC BACTERIAL SINUSITIS- A CLINICAL PROFILE

Author: Harish B, Anitha Mahadevan, Gowri Shankar M, and Haridas P
Subjects: 03 medical and health sciences, Bacterial sinusitis, medicine.medical_specialty, 0302 clinical medicine, business.industry, Medicine, 030223 otorhinolaryngology, business, Dermatology, 030218 nuclear medicine & medical imaging
Published: 2017
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30. EFFECTIVENESS OF CIPROFLOXACIN VS DOXYCYCLINE IN TREATMENT OF RHINOSCLEROMA- A CASE-CONTROL STUDY

Author: Sunayana R. Sarkar, Shashidhar Kallapa, and Gowri Shankar M
Subjects: Doxycycline, medicine.medical_specialty, business.industry, lcsh:R5-130.5, Case-control study, Rhinoscleroma Therapy, medicine.disease, Ciprofloxacin, Internal medicine, medicine, business, lcsh:General works, medicine.drug, Rhinoscleroma
Abstract: BACKGROUND Rhinoscleroma is a chronic inflammatory condition in which deforming masses of tissue distend the nasal cavity. Klebsiella rhinoscleromatis is the causative agent. Antibiotic therapy traditionally consisted of streptomycin and tetracycline. But longterm therapy results in adverse side effects and poor patient compliance, hence this study to search alternative agents. MATERIALS AND METHODS This is a prospective study of 60 cases of rhinoscleroma visiting to the Department of ENT, KIMS, for a period of two years. RESULTS After 8 weeks treatment in the atrophic and granulomatous group, 6 (60%) became histopathologically negative and 4 (40%) remained histopathologically positive. The treatment was continued for another 4 weeks in positive cases and at the end of 12 weeks, 8 (80%) turned histopathologically negative, 2 (20%) remained positive. CONCLUSION We conclude that ciprofloxacin is a very good alternative drug compared to doxycycline in the treatment of rhinoscleroma particularly in the early stages of the disease and complete cure can be achieved by early diagnosis and treatment.
Published: 2017

31. Robotic Light Following System

Author: Prince Samuel S, Shankar M, Vikash J, and Felvin K F
Subjects: Comparator, business.industry, Computer science, Control variable, Robotics, DC motor, law.invention, law, Control theory, Control system, Robot, Artificial intelligence, Resistor, business, Voltage reference
Abstract: This project demonstrates the creation of a robot using low cost light controlled variable resistor to follow a flash light. It also demonstrates a very simple control loop. A control loop is an important concept in the world of robotics. Control loops are used for everything from regulating the speed of the motors to helping the robot travel in the path of higher luminescence across all directions. It is based on the principle that resistance of a LDR changes with the amount of light falling on it. The resistance of an LDR will decrease with increase in luminescence. This variation is fed to a comparator with a reference voltage set. This drives the robot in the desired direction with the help of DC motors.
Published: 2019
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32. Ensuring Consistent Transactions in a Web Service Environment With Prediction-Based Performance Metrics.

Author: Ravan, John Thomas, Banik, Shankar M., and Farkas, Csilla
Abstract: In this article, we propose the transaction scheduling for web service database transactions. Our solution ensures consistency while preserving efficiency. We propose a prediction-based metric that promotes transactions with reliable reputations based on the transactions performance metrics. Performance metrics are based on the transactions likelihood to commit and their execution time. We propose a customized lock management solution to guarantee execution consistency in concurrent web service environments. We formally prove that our solution guarantees consistent execution history of concurrent web transactions and increases concurrency and performance over traditional locking methods. We developed a simulation using a multi-threaded approach. We generated sample workloads of simulated concurrent transactions over seven tests. Our results show that the solution works comparatively with traditional locking and no-locking solutions with the added benefit of ensured consistency in some cases and deadlock avoidance in others. [ABSTRACT FROM AUTHOR]
Published: 2022
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33. Speaker Adaptation for Lip-Reading Using Visual Identity Vectors

Author: Abhinav Thanda, Dilip Kumar Margam, Tanay Sharma, Shankar M. Venkatesan, Pujitha Appan Kandala, Rohith Aralikatti, and Sharad Roy
Subjects: Communication, Computer science, business.industry, Reading (process), media_common.quotation_subject, Identity (social science), business, Speaker adaptation, media_common
Published: 2019
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34. Real Time Online Visual End Point Detection Using Unidirectional LSTM

Author: Tanay Sharma, Abhinav Thanda, Dilip Kumar Margam, Shankar M. Venkatesan, Rohith Aralikatti, Pujitha Appan Kandala, and Sharad Roy
Subjects: business.industry, Computer science, Computer vision, Artificial intelligence, End point detection, business
Published: 2019
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35. Role of Magnetic Resonance Imaging in Evaluation of Adnexal Pathologies and Correlation with Sonography

Author: Balaji Ramraj, Shiva Shankar M P, Gokulakrishnan R M, Venkateshwaran K N, and Sinduja Paul
Subjects: Nuclear magnetic resonance, medicine.diagnostic_test, business.industry, Medicine, Magnetic resonance imaging, business
Published: 2019
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36. INCREASED SERUM LEVELS OF UREA AND CREATININE ARE SURROGATE MARKERS FOR DISRUPTION OF RETINAL PHOTORECEPTOR EXTERNAL LIMITING MEMBRANE AND INNER SEGMENT ELLIPSOID ZONE IN TYPE 2 DIABETES MELLITUS

Author: Levent Akduman, Peter Kruzliak, Astha Jain, Shankar M. Natu, Surabhi Ruia, Sandeep Saxena, Carsten H. Meyer, Nibha Mishra, Jagjit S. Gilhotra, and Senthamizh Prasad
Subjects: Adult, Male, medicine.medical_specialty, 030209 endocrinology & metabolism, Severity of Illness Index, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Retinal Diseases, Internal medicine, Diabetes mellitus, medicine, Humans, Urea, Retinal Photoreceptor Cell Inner Segment, External limiting membrane, Aged, Analysis of Variance, Creatinine, Diabetic Retinopathy, business.industry, Type 2 Diabetes Mellitus, Epiretinal Membrane, General Medicine, Diabetic retinopathy, Middle Aged, medicine.disease, 3. Good health, Ophthalmology, Endocrinology, medicine.anatomical_structure, Diabetes Mellitus, Type 2, chemistry, Case-Control Studies, 030221 ophthalmology & optometry, Female, Inner segment, business, Biomarkers, Photoreceptor Cells, Vertebrate, Retinopathy
Abstract: PURPOSE To evaluate the role of serum urea and creatinine as surrogate markers for disruption of retinal photoreceptor external limiting membrane (ELM) and inner segment ellipsoid zone (EZ) in Type 2 diabetic retinopathy (DR) using spectral-domain optical coherence tomography, for the first time. METHODS One hundred and seventeen consecutive cases of Type 2 diabetes mellitus (diabetes without retinopathy [No DR; n = 39], nonproliferative diabetic retinopathy [NPDR; n = 39], proliferative diabetic retinopathy [PDR; n = 39]) and 40 healthy control subjects were included. Serum levels of urea and creatinine were assessed using standard protocol. Spectral-domain optical coherence tomography was used to grade the disruption of ELM and EZ as follows: Grade 0, no disruption of ELM and EZ; Grade 1, ELM disrupted, EZ intact; Grade 2, ELM and EZ disrupted. Data were analyzed statistically. RESULTS Increase in serum levels of urea (F = 22.93) and creatinine (F = 15.82) and increased grades of disruption of ELM and EZ (γ = 116.3) were observed with increased severity of DR (P < 0.001). Increase in serum levels of urea (F = 10.45) and creatinine (F = 6.89) was observed with increased grades of disruption of ELM and EZ (P = 0.001). CONCLUSION Serum levels of urea and creatinine are surrogate markers for disruption of retinal photoreceptor ELM and EZ on spectral-domain optical coherence tomography in DR.
Published: 2017
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37. A survey to evaluate the awareness of Fixed Dose Combinations (FDCs) among 2nd year medical undergraduates at a rural tertiary care centre, B G Nagara

Author: Ravi Shankar M, T S Padmanabha, Manu G, Vinaya M, Madhav K. Savkar, Neha K, and Chandrakantha T
Subjects: medicine.medical_specialty, business.industry, Family medicine, Medicine, General Medicine, business, Tertiary care, Fixed dose
Published: 2016
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38. Does gender influence P300 latency and mini mental state examination score in type 2 diabetes mellitus patients?

Author: Pramodh, Bhanu R, and Vinutha Shankar M S
Subjects: medicine.medical_specialty, Mini–Mental State Examination, medicine.diagnostic_test, Physiology, business.industry, Significant difference, Type 2 Diabetes Mellitus, Magnetic resonance imaging, Cognition, medicine.disease, Diabetes mellitus, Internal medicine, medicine, Mini-mental state examination score, General Pharmacology, Toxicology and Pharmaceutics, Latency (engineering), business
Abstract: Background: P300 event-related potentials (ERPs) is an electrophysiologic marker of cognitive ability which closely reflects cognitive functions. Type 2 Diabetes mellitus (T2DM) causes many complications. Diabetes mellitus-induced damage to the central nervous system is a key focus of research. Latest magnetic resonance imaging evidence suggested that the changes in anatomy of brain is more rapidly seen in males than in females. This study was carried out to study the gender variations in P300 latency and Mini Mental State Examination (MMSE). Aim and Objective: To study the influence of gender on MMSE score as well as P300 ERP. Materials and Methods: 30 diagnosed Type 2 Diabetics aged above 40 years, with more than 2 years duration of diabetes were included in this study. MMSE questionnaire was administered to each diabetic and P300 was recorded using RMS EMG EP MARK 2 machine in all the diabetics. Results: The P300 ERP of male diabetics was prolonged significantly with mean ± standard deviation (SD) of (347.01 ± 31.55) whereas female diabetics had a mean ± SD of (318.26 ± 28.22; P = 0.014) and no significant difference was found between the mean MMSE scores of male diabetics (26.06 ± 1.38) and female diabetics (26.13 ± 1.30). Conclusion: The change in P300 ERP is swifter in males when compared with females in the middle to old age. Compared to MMSE, P300 Latency is a sensitive electrophysiological tool for diagnosing early cognitive deterioration in T2DM.
Published: 2021
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39. Correlation Based Real-Time Data Analysis of Graduate Students Behaviour

Author: Shankar M. Patil and A. K. Malik
Subjects: Strategic planning, Class (computer programming), Knowledge management, business.industry, Association (object-oriented programming), media_common.quotation_subject, Nature versus nurture, Intangible asset, Action (philosophy), Quality (business), Psychology, business, Reliability (statistics), media_common
Abstract: Engineering institutes nurture the mind sets of a nation. Knowledge is an intangible asset of the organization. Quest for increased performance and reliability has made it imperative to develop techniques for utilization of resources to make informed decisions. The contradiction is represented with engineering intake and outcomes. So there is need for planning better adaptive strategies of student’s behaviour to increase productivity. In this paper, research work has been carried out to find behaviour patterns and exemplify the quality of educational system. Our approach illustrates the behaviour of engineering students in various dimensions. Specifically, it determines the association among academics and behaviour for general evaluation of students’ in engineering institutes. This evaluation helps to address common problems which keep away students from functioning productively in class. The correlation evaluation with ten parameters and 31 supporting questions gives real life, real time analysis to make strategic planning, action and development for betterment of students and engineering institutes.
Published: 2019
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40. Unusual presentation of jimson's weed toxicity- a case report

Author: Arpita Chakraborty, Shankar M Bakkannavar, and Shrikiran Hebbar
Subjects: medicine.medical_specialty, Presentation, business.industry, media_common.quotation_subject, Toxicity, Medicine, business, Weed, Dermatology, Pathology and Forensic Medicine, media_common
Published: 2020
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41. Robust Precoding and Beamforming in a Multiple Gateway Multibeam Satellite System

Author: Shankar M. R. Bhavani, Symeon Chatzinotas, Vahid Joroughi, Bjon Ottersten, Sina Maleki, and Joel Grotz
Subjects: Beamforming, business.industry, Computer science, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Bandwidth (signal processing), Payload (computing), 020206 networking & telecommunications, 020302 automobile design & engineering, 02 engineering and technology, Interference (wave propagation), Precoding, Frequency reuse, Bottleneck, 0203 mechanical engineering, Default gateway, 0202 electrical engineering, electronic engineering, information engineering, Zero-forcing precoding, business, Computer network, Communication channel
Abstract: This paper aims to design joint precoding and onboard beamforming at a multiple gateway multibeam satellite system. Full frequency reuse pattern is considered among the beams and each gateway serves a cluster of adjacent beams such that multiple clusters are served through a set of gateways. However, two issues are required to be addressed. First, the interference in both user and feeder links is the bottleneck of the whole system and employing interference mitigation techniques is essential. Second, as the data demand increases, the ground and space segments should employ extensive bandwidth resources in the feeder link accordingly. This entails embedding an extra number of gateways aiming to support a fair balance between the increasing demand and the corresponding required feeder link resources. To tackle these problems, this paper studies the impact of employing a joint multiple gateway architecture and on-board beamforming scheme. It is shown that by properly designing the on-board beamforming scheme, the number of gateways can be kept affordable even if the data demand increases. The proposed beamforming scheme can partially mitigate the interference in the user link. While the user and feeder link channels vary over time, this paper focuses on designing fixed beamforming which is sufficiently robust to the variations in both channels, leading to keep payload complexity low. Moreover, Zero Forcing precoding technique is employed at the gateways to reject the interference in the feeder links as well as it helps the proposed fixed on-board beamforming by partially equalizing the interference in user link.
Published: 2018
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42. Canine index – A tool for sex determination

Author: Shankar M Bakkannavar, S Manjunath, G. Pradeep Kumar, and Vinod C Nayak
Subjects: lcsh:R5-920, Health (social science), Canines, business.industry, Victim identification, medicine.medical_treatment, Alveolar process, Mandible, Dentistry, Oral cavity, Crown (dentistry), Pathology and Forensic Medicine, Inter-canine distance, stomatognathic diseases, medicine.anatomical_structure, stomatognathic system, lcsh:K1-7720, Good evidence, Medicine, lcsh:Law in general. Comparative and uniform law. Jurisprudence, Mesio-distal width, business, lcsh:Medicine (General), Law
Abstract: Teeth are most useful tools in victim identification in the living as well as the dead in the field of forensic investigations. Their ability to survive in situations like mass disasters makes them constructive devices. Many authors have measured crowns of teeth in both males and females and found certain variations. Canines, reported to survive in air crash and hurricane disasters, are perhaps the most stable teeth in the oral cavity because of the labiolingual thickness of the crown and the root anchorage in the alveolar process of jaws. Measurement of mesiodistal width of the mandibular canines and inter-canine distance of the mandible provides good evidence of sex identification due to dimorphism. This study was undertaken to evaluate the effectiveness of canine index (CI) in the determination of sex.
Published: 2015

43. EFFECT OF EXCESSIVE NOISE EXPOSURE ON GRANITE FACTORY WORKERS

Author: Karthiyanee Kutty, Vinutha Shankar M S, and Ashwini Priyanka
Subjects: Noise exposure, Waste management, business.industry, Factory (object-oriented programming), Medicine, business
Published: 2015
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44. Accidental electrocution – reconstruction of events

Author: Pramod Kumar Gn, Debarshi Saha, Y.P. Raghavendra Babu, S Manjunath, and Shankar M Bakkannavar
Subjects: Engineering, business.industry, medicine.disease, people.cause_of_death, Pathology and Forensic Medicine, Manner of death, Electrocution, Accidental, medicine, Forensic engineering, Medical emergency, people, business, Cause of death
Abstract: As electricity is an indispensable part of today's world, electrocution is a common cause of morbidity and mortality. Deaths due to electrocution that are witnessed do not pose a problem as to the manner and cause of death. However, unwitnessed deaths can raise suspicions regarding the manner of death. A case of fatal electrocution is reported here that was diagnosed to be accidental in manner, with the help of a reconstruction of events through a proper investigation.
Published: 2015
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45. Association of cigarette smoking with hearing loss: Cross sectional study among sample population of Kolar

Author: Rh, Hoskote, Bangalore, Karnataka, India., Ashwini K Shetty, Karthiyanee Kutty, and Vinutha Shankar M S
Subjects: Cigarette smoking, Cross-sectional study, business.industry, Hearing loss, Environmental health, Medicine, General Medicine, medicine.symptom, business, Association (psychology)
Published: 2017
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46. EFFECT OF INTEGRATED YOGA ON EMOTIONAL DIMENSIONS OF THE PARTICIPANTS IN SVYASA

Author: Sindhu R, Karthiyanee Kutty, and Vinutha Shankar M S
Subjects: Emotional intelligence, business.industry, lcsh:R5-130.5, Medicine, business, lcsh:General works, Clinical psychology, Integrated Yoga Module
Abstract: BACKGROUND: Skill to monitor one’s own and others’ thinking and actions is termed as Emotional intelligence (EI). [1] Psychological dimensions of EI are emotional sensitivity, emotional maturity and emotional competency which motivate participants to recognize, interpret and handle the dynamics of their behavioral pattern. OBJECTIVE: To assess the effect of the Integrat ed Yoga module (IYM) on emotional dimensions of the participants in SVYASA. MATERIALS AND METHODS: The study includes 40 subjects between 20 - 60years of age selected from health home of Swami Vivekananda Yoga Anusandhana Samsthana (SVYASA) University, Bang alore for IYM. EQ test developed by Prof N. K. Chadha used to assess the EI was given to all the subjects on admission to S - VYASA. All the subjects of this study participated in IYM for a week . After one week of IYM, same questionnaire was given to partici pants. STATISTICAL ANALYSIS: Means, standard deviations, Paired t test were used for analyzing the data with the help of SPSS 16. RESULTS: EQ analysis (n=40) showed significant increase ( P
Published: 2016

47. Accommodating Phonetic Word Variations Through Generated Confusion Pairs for Hinglish Handwritten Text Recognition

Author: Pragya Paramita Sahu, Vikrant Singh, Viswanath Veera, Soumyajit Mitra, and Shankar M. Venkatesan
Subjects: Grammar, business.industry, Computer science, media_common.quotation_subject, Deep learning, Portmanteau, 02 engineering and technology, 010501 environmental sciences, computer.software_genre, 01 natural sciences, Spelling, ComputingMethodologies_PATTERNRECOGNITION, Handwriting recognition, Word recognition, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, 0202 electrical engineering, electronic engineering, information engineering, Transliteration, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Word (computer architecture), Natural language processing, 0105 earth and related environmental sciences, media_common
Abstract: On-line handwriting recognition has seen major strides in the past years, especially with the advent of deep learning techniques. Recent work has seen the usage of deep networks for sequential classification of unconstrained handwriting recognition task. However, the recognition of “Hinglish” language faces various unseen problems. Hinglish is a portmanteau of Hindi and English, involving frequent code-switching between the two languages. Millions of Indians use Hinglish as a primary mode of communication, especially across social media. However, being a colloquial language, Hinglish does not have a fixed rule set for spelling and grammar. Auto-correction is an unsuitable solution as there is no correct form of the word, and all the multiple phonetic variations are valid. Unlike the advantage that keyboards provide, recognizing handwritten text also has to overcome the issue of mis-recognizing similar looking alphabets. We propose a comprehensive solution to overcome this problem of recognizing words with phonetic spelling variations. To our knowledge, no work has been done till date to recognize Hinglish handwritten text. Our proposed solution shows a character recognition accuracy of 94% and word recognition accuracy of 72%, thus correctly recognizing the multiple phonetic variations of any given word.
Published: 2018
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48. Analyzing the Effect of Ransomware Attacks on Different Industries

Author: Shankar M. Banik and Christopher Patrick Gibson
Subjects: Mitigation methods, Data collection, media_common.quotation_subject, computer.software_genre, Payment, Computer security, Return on investment, Ransomware, Malware, Resource allocation (computer), Business, computer, media_common, Hacker
Abstract: Ransomware is currently the fastest growing malware attack compromising pertinent data from businesses that leads to loss of sales and trust from future customers. In this paper we provide an analysis of ransomware attacks to determine correlation factors that will help users/business organizations allocate resources efficiently. Our results of analysis have identified four important correlation factors for ransomware attacks. First one is the time of year that a ransomware attack is most likely to occur based on the past years’ history. We have observed that the months from June to September where important data collection during tax season takes place is the most vulnerable time for ransomware attack. Second is the location where the attacks occur. We have found that the areas that deal with public data and require public announcement of attacks are more vulnerable. Third is the amount of ransom payments requested. This factor is used to determine the cost of data that is not backed up. The payment request offers which are as low as $100 and as high as $35,000 are solely dependent on what the attacker believes is most likely to be paid. Percentage of attacks on industry has shown three highest targeted areas: medical, business, and education. Lastly, the amount of people affected is used to show the amount of information that can be leaked. This provides the greatest return on attack for hackers. Since 2016 around 128,904 individuals from medical industry have reported to be the victim of ransomware attacks. In this paper we have also discussed proactive recommendation measures to counter ransomware attacks and provided an analytical study to demonstrate a positive Return On Investment (ROI) along with ransomware mitigation methods.
Published: 2017
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49. Personalized Hand Writing Recognition Using Continued LSTM Training

Author: Shankar M. Venkatesan, Viswanath Veera, Indra Kiran, Thanda Abhinav, Vikrant Singh, Pragya Paramita Sahu, and Ankit Vijay
Subjects: Training set, business.industry, Computer science, Deep learning, 02 engineering and technology, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, Data modeling, Handwriting recognition, 0202 electrical engineering, electronic engineering, information engineering, Task analysis, 020201 artificial intelligence & image processing, Artificial intelligence, Transfer of learning, business, Hidden Markov model, computer, 0105 earth and related environmental sciences, Network model
Abstract: On-line handwriting recognition has seen major improvements in the last few years with the successful application of deep learning techniques. While the training data is massive and training times are large, the current accuracies are very good even with reasonable small model sizes (when compared to models in image recognition tasks). However, the important task of personalizing such deep models (after a new user has downloaded the model onto his mobile device) to the writing style of the new user, resulting in an improved model with significantly higher accuracy, has not been investigated so far. It is clearly not feasible to download the massive training data for each new user, and re-train the model on the device itself (after mixing original data with the limited quantity of training samples a new user can supply). To our knowledge, it is not known so far with what adaptation technique, with what old training data (in addition to the user's new samples), how flexibly the retraining can be done on the device, how much accuracy gain can be expected, and whether the model can be simplified as a result of the retraining. In this paper we address all these important questions regarding deep network models on device: we demonstrate simple but robust continued-training techniques for adapting a pre-trained model to a specific user's writing style. The pre-training is done using Long Short Term Memory (LSTM) network and a Connectionist Temporal Classification (CTC) loss function. It is seen that only a small set of the old training data can be used along with the user's samples to successfully retrain the model. The retrained (adapted) model achieves around 2.5% more accuracy than the roughly 92% accuracy of the non-personalized model for on-line handwritten Hindi text recognition, also surpassing all existing techniques. We also derive some additional insights into the questions posed above.
Published: 2017
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50. Academia Industry Partnerships in the Biomedical Engineering Domain

Author: Shankar M. Krishnan
Subjects: Engineering management, Engineering, business.industry, Revenue generation, Professional development, Engineering ethics, business, Productivity, Biomedical engineering, Domain (software engineering)
Abstract: The current complex socio-economic environments due to fiscal constraints pose severe challenges worldwide for making technological advances working alone by academia or by industry. Effective academia-industry collaborations can be meaningful avenues for technological advancements, productivity and revenue generation as well as for promoting professional growth and educating future engineers globally. The above explanations apply to all engineering domains including biomedical engineering. The objective of the paper is to explore multifaceted academia-industry partnerships, their benefits and challenges, and to make suggestions for successful outcomes. The results based on several case histories support the formation of carefully planned academia industry partnerships to yield significant benefits to all the constituent members.
Published: 2017
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