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3. ‘Functional English’ skills in Ethiopia, India and Vietnam: Comparing English ability and use among 15 year olds in three countries

Author

Azubuike, OB, Vaidya, G, and Moore, R

Abstract

Increased globalisation, interconnectivity and overall exposure have promoted a considerable increase in developing countries in usage and aspiration to learn the English language. Among policymakers and individuals, English is considered important for economic advancement, employment and social mobility. In line with this, Young Lives included a ‘functional English’ assessment as part of its 2016-17 school survey with 15 year olds in Ethiopia, India and Vietnam, providing a unique opportunity to explore English language learning outcomes and some of the factors which affect these. This working paper explores how functional English can be conceptualised, recognising the multiple ways in which young people in these diverse contexts may want to use English now and in the future. It also draws on analysis of data from the Young Lives school survey to consider the level of functional English competency which children in the three countries currently have, and how this relates to the types of English required by labour markets or higher levels of education. The paper examines the disparities in English levels within the three countries, including some of the background characteristics associated with higher levels of English, and discusses the implications of such gaps on the equality of education and employment opportunities in the future.

Published
2021

7. Erratum: Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 (The Lancet (2018) 392(10159) (1736–1788)(S0140673618322037)(10.1016/S0140-6736(18)32203-7))

Author

GBD 2017 Causes of Death Collaborators Roth, G.A. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdollahpour, I. Abdulkader, R.S. Abebe, H.T. Abebe, M. Abebe, Z. Abejie, A.N. Abera, S.F. Abil, O.Z. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Accrombessi, M.M.K. Acharya, D. Adamu, A.A. Adebayo, O.M. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adib, M.G. Admasie, A. Afshin, A. Agarwal, G. Agesa, K.M. Agrawal, A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmed, M.B. Ahmed, S. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akbari, M.E. Akinyemi, R.O. Akseer, N. Al-Aly, Z. Al-Eyadhy, A. Al-Raddadi, R.M. Alahdab, F. Alam, K. Alam, T. Alebel, A. Alene, K.A. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Alonso, J. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Aminde, L.N. Amini, E. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Ansari, H. Ansha, M.G. Antonio, C.A.T. Anwari, P. Aremu, O. Arnlov, J. Arora, A. Arora, M. Artaman, A. Aryal, K.K. Asayesh, H. Asfaw, E.T. Ataro, Z. Atique, S. Atre, S.R. Ausloos, M. Avokpaho, E.F.G.A. Awasthi, A. Ayala Quintanilla, B.P. Ayele, Y. Ayer, R. Azzopardi, P.S. Babazadeh, A. Bacha, U. Badali, H. Badawi, A. Bali, A.G. Ballesteros, K.E. Banach, M. Banerjee, K. Bannick, M.S. Banoub, J.A.M. Barboza, M.A. Barker-Collo, S.L. Barnighausen, T.W. Barquera, S. Barrero, L.H. Bassat, Q. Basu, S. Baune, B.T. Baynes, H.W. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Bejot, Y. Bekele, B.B. Belachew, A.B. Belay, E. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Beyranvand, T. Bhalla, A. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Biehl, M.H. Bijani, A. Bikbov, B. Bilano, V. Bililign, N. Bin Sayeed, M.S. Bisanzio, D. Biswas, T. Blacker, B.F. Basara, B.B. Borschmann, R. Bosetti, C. Bozorgmehr, K. Brady, O.J. Brant, L.C. Brayne, C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Briant, P.S. Britton, G. Brugha, T. Busse, R. Butt, Z.A. Callender, C.S.K.H. Campos-Nonato, I.R. Campuzano Rincon, J.C. Cano, J. Car, M. Cardenas, R. Carreras, G. Carrero, J.J. Carter, A. Carvalho, F. Castaneda-Orjuela, C.A. Castillo Rivas, J. Castle, C.D. Castro, C. Castro, F. Catala-Lopez, F. Cerin, E. Chaiah, Y. Chang, J.-C. Charlson, F.J. Chaturvedi, P. Chiang, P.P.-C. Chimed-Ochir, O. Chisumpa, V.H. Chitheer, A. Chowdhury, R. Christensen, H. Christopher, D.J. Chung, S.-C. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Cohen, A.J. Cooper, L.T. Cortesi, P.A. Cortinovis, M. Cousin, E. Cowie, B.C. Criqui, M.H. Cromwell, E.A. Crowe, C.S. Crump, J.A. Cunningham, M. Daba, A.K. Dadi, A.F. Dandona, L. Dandona, R. Dang, A.K. Dargan, P.I. Daryani, A. Das, S.K. Gupta, R.D. Neves, J.D. Dasa, T.T. Dash, A.P. Davis, A.C. Davis Weaver, N. Davitoiu, D.V. Davletov, K. De La Hoz, F.P. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Degfie, T.T. Deiparine, S. Demoz, G.T. Demtsu, B.B. Denova-Gutierrez, E. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dicker, D. Dinberu, M.T. Ding, E.L. Dirac, M.A. Djalalinia, S. Dokova, K. Doku, D.T. Donnelly, C.A. Dorsey, E.R. Doshi, P.P. Douwes-Schultz, D. Doyle, K.E. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Edessa, D. Edvardsson, D. Eggen, A.E. El Bcheraoui, C. El Sayed Zaki, M. El-Khatib, Z. Elkout, H. Ellingsen, C.L. Endres, M. Endries, A.Y. Er, B. Erskine, H.E. Eshrati, B. Eskandarieh, S. Esmaeili, R. Esteghamati, A. Fakhar, M. Fakhim, H. Faramarzi, M. Fareed, M. Farhadi, F. Farinha, C.S.E. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Feigin, V.L. Feigl, A.B. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Ferrari, A.J. Feyissa, G.T. Filip, I. Finegold, S. Fischer, F. Fitzmaurice, C. Foigt, N.A. Foreman, K.J. Fornari, C. Frank, T.D. Fukumoto, T. Fuller, J.E. Fullman, N. Furst, T. Furtado, J.M. Futran, N.D. Gallus, S. Garcia-Basteiro, A.L. Garcia-Gordillo, M.A. Gardner, W.M. Gebre, A.K. Gebrehiwot, T.T. Gebremedhin, A.T. Gebremichael, B. Gebremichael, T.G. Gelano, T.F. Geleijnse, J.M. Genova-Maleras, R. Geramo, Y.C.D. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghasemi Falavarjani, K. Ghasemi-Kasman, M. Ghimire, M. Gibney, K.B. Gill, P.S. Gill, T.K. Gillum, R.F. Ginawi, I.A. Giroud, M. Giussani, G. Goenka, S. Goldberg, E.M. Goli, S. Gomez-Dantes, H. Gona, P.N. Gopalani, S.V. Gorman, T.M. Goto, A. Goulart, A.C. Gnedovskaya, E.V. Grada, A. Grosso, G. Gugnani, H.C. Guimaraes, A.L.S. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Gutierrez, R.A. Gyawali, B. Haagsma, J.A. Hafezi-Nejad, N. Hagos, T.B. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Harb, H.L. Harikrishnan, S. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hay, R.J. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, M. Hendrie, D. Henok, A. Henry, N.J. Herteliu, C. Heydarpour, F. Heydarpour, P. Heydarpour, S. Hibstu, D.T. Hoek, H.W. Hole, M.K. Homaie Rad, E. Hoogar, P. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hotez, P.J. Hoy, D.G. Hsiao, T. Hu, G. Huang, J.J. Husseini, A. Hussen, M.M. Hutfless, S. Idrisov, B. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Irvine, C.M.S. Islam, N. Islam, S.M.S. Islami, F. Jacobsen, K.H. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Jalu, M.T. James, S.L. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jenkins, K.J. Jha, R.P. Jha, V. Johnson, C.O. Johnson, S.C. Jonas, J.B. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jurisson, M. Kabir, Z. Kadel, R. Kahsay, A. Kalani, R. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi-Sari, H. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassebaum, N.J. Katikireddi, S.V. Kaul, A. Kazemi, Z. Kazemi Karyani, A. Kazi, D.S. Kefale, A.T. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kesavachandran, C.N. Khader, Y.S. Khafaei, B. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, M.S. Khan, M.A. Khang, Y.-H. Khater, M.M. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kibret, G.D. Kidanemariam, Z.T. Kiirithio, D.N. Kim, D. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kisa, A. Kissimova-Skarbek, K. Kivimaki, M. Knudsen, A.K.S. Kocarnik, J.M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Kuate Defo, B. Kucuk Bicer, B. Kumar, G.A. Kumar, M. Kumar, P. Kutz, M.J. Kuzin, I. Kyu, H.H. Lad, D.P. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lallukka, T. Lam, J.O. Lami, F.H. Lansingh, V.C. Lansky, S. Larson, H.J. Latifi, A. Lau, K.M.-M. Lazarus, J.V. Lebedev, G. Lee, P.H. Leigh, J. Leili, M. Leshargie, C.T. Li, S. Li, Y. Liang, J. Lim, L.-L. Lim, S.S. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Lonsdale, C. Lopez, A.D. Lorkowski, S. Lotufo, P.A. Lozano, R. Lunevicius, R. Ma, S. Macarayan, E.R.K. Mackay, M.T. MacLachlan, J.H. Maddison, E.R. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malta, D.C. Manda, A.-L. Mandarano-Filho, L.G. Manguerra, H. Mansournia, M.A. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marczak, L. Marks, A. Marks, G.B. Martinez, G. Martins-Melo, F.R. Martopullo, I. Marz, W. Marzan, M.B. Masci, J.R. Massenburg, B.B. Mathur, M.R. Mathur, P. Matzopoulos, R. Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. McMahon, B.J. Mehata, S. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mekonnen, T.C. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miazgowski, B. Miazgowski, T. Millear, A.I. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. Mirabi, P. Mirarefin, M. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Mitiku, H. Moazen, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammed, M.A. Mohammed, S. Mohan, V. Mokdad, A.H. Molokhia, M. Monasta, L. Moradi, G. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Velasquez, I.M. Morgado-Da-Costa, J. Morrison, S.D. Moschos, M.M. Mouodi, S. Mousavi, S.M. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Muller, K. Mumford, J.E. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naheed, A. Nahvijou, A. Naik, G. Nair, S. Najafi, F. Naldi, L. Nam, H.S. Nangia, V. Nansseu, J.R. Nascimento, B.R. Natarajan, G. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, A.Q. Nguyen, G. Nguyen, H.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, T.H. Nichols, E. Ningrum, D.N.A. Nirayo, Y.L. Nixon, M.R. Nolutshungu, N. Nomura, S. Norheim, O.F. Noroozi, M. Norrving, B. Noubiap, J.J. Nouri, H.R. Shiadeh, M.N. Nowroozi, M.R. Nyasulu, P.S. Odell, C.M. Ofori-Asenso, R. Ogbo, F.A. Oh, I.H. Oladimeji, O. Olagunju, A.T. Olivares, P.R. Olsen, H.E. Olusanya, B.O. Olusanya, J.O. Ong, K.L. Ong, S.K.S. Oren, E. Orpana, H.M. Ortiz, A. Ortiz, J.R. Otstavnov, S.S. Overland, S. Owolabi, M.O. Ozdemir, R. Mahesh, P.A. Pacella, R. Pakhale, S. Pakhare, A.P. Pakpour, A.H. Pana, A. Panda-Jonas, S. Pandian, J.D. Parisi, A. Park, E.-K. Parry, C.D.H. Parsian, H. Patel, S. Pati, S. Patton, G.C. Paturi, V.R. Paulson, K.R. Pereira, A. Pereira, D.M. Perico, N. Pesudovs, K. Petzold, M. Phillips, M.R. Piel, F.B. Pigott, D.M. Pillay, J.D. Pirsaheb, M. Pishgar, F. Polinder, S. Postma, M.J. Pourshams, A. Poustchi, H. Pujar, A. Prakash, S. Prasad, N. Purcell, C.A. Qorbani, M. Quintana, H. Quistberg, D.A. Rade, K.W. Anwar Rafay, A.R. Rahim, F. Rahimi, K. Rahimi-Movaghar, A. Rahman, M. Rahman, M.H.U. Rahman, M.A. Rai, R.K. Rajsic, S. Ram, U. Ranabhat, C.L. Ranjan, P. Rao, P.C. Rawaf, D.L. Rawaf, S. Razo-Garcia, C. Reddy, K.S. Reiner, R.C. Reitsma, M.B. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezaeian, S. Rezai, M.S. Riahi, S.M. Ribeiro, A.L.P. Rios-Blancas, M.J. Roba, K.T. Roberts, N.L.S. Robinson, S.R. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Rothenbacher, D. Roy, A. Rubagotti, E. Sachdev, P.S. Saddik, B. Sadeghi, E. Safari, H. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Salam, N. Salama, J.S. Salamati, P. De Freitas Saldanha, R. Saleem, Z. Salimi, Y. Salvi, S.S. Salz, I. Sambala, E.Z. Samy, A.M. Sanabria, J. Dolores Sanchez-Nino, M. Santomauro, D.F. Santos, I.S. Santos, J.V. Santric Milicevic, M.M. Jose, B.P.S. Sarker, A.R. Sarmiento-Suarez, R. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Saxena, S. Sayyah, M. Schaeffner, E. Schmidt, M.I. Schneider, I.J.C. Schottker, B. Schutte, A.E. Schwebel, D.C. Schwendicke, F. Scott, J.G. Sekerija, M. Sepanlou, S.G. Servan-Mori, E. Seyedmousavi, S. Shabaninejad, H. Shackelford, K.A. Shafieesabet, A. Shahbazi, M. Shaheen, A.A. Shaikh, M.A. Shams-Beyranvand, M. Shamsi, M. Shamsizadeh, M. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, R. She, J. Sheikh, A. Shi, P. Shiferaw, M.S. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Shokraneh, F. Shrime, M.G. Si, S. Siabani, S. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silberberg, D.H. Santos Silva, D.A. Silva, J.P. Da Silva, N.T. Silveira, D.G.A. Singh, J.A. Singh, N.P. Singh, P.K. Singh, V. Sinha, D.N. Sliwa, K. Smith, M. Sobaih, B.H. Sobhani, S. Sobngwi, E. Soneji, S.S. Soofi, M. Sorensen, R.J.D. Soriano, J.B. Soyiri, I.N. Sposato, L.A. Sreeramareddy, C.T. Srinivasan, V. Stanaway, J.D. Starodubov, V.I. Stathopoulou, V. Stein, D.J. Steiner, C. Stewart, L.G. Stokes, M.A. Subart, M.L. Sudaryanto, A. Sufiyan, M.B. Sur, P.J. Sutradhar, I. Sykes, B.L. Sylaja, P.N. Sylte, D.O. Szoeke, C.E.I. Tabares-Seisdedos, R. Tabuchi, T. Tadakamadla, S.K. Takahashi, K. Tandon, N. Tassew, S.G. Taveira, N. Tehrani-Banihashemi, A. Tekalign, T.G. Tekle, M.G. Temsah, M.-H. Temsah, O. Terkawi, A.S. Teshale, M.Y. Tessema, B. Tessema, G.A. Thankappan, K.R. Thirunavukkarasu, S. Thomas, N. Thrift, A.G. Thurston, G.D. Tilahun, B. To, Q.G. Tobe-Gai, R. Tonelli, M. Topor-Madry, R. Torre, A.E. Tortajada-Girbes, M. Touvier, M. Tovani-Palone, M.R. Tran, B.X. Tran, K.B. Tripathi, S. Troeger, C.E. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsoi, D. Tudor Car, L. Murat Tuzcu, E. Tyrovolas, S. Ukwaja, K.N. Ullah, I. Undurraga, E.A. Updike, R.L. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Vasankari, T.J. Venketasubramanian, N. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Wagner, G.R. Wagnew, F.S. Waheed, Y. Wallin, M.T. Walson, J.L. Wang, Y. Wang, Y.-P. Wassie, M.M. Weiderpass, E. Weintraub, R.G. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. Werkneh, A.A. West, T.E. Westerman, R. Whiteford, H.A. Widecka, J. Wilner, L.B. Wilson, S. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wu, S. Wu, Y.-C. Wyper, G.M.A. Xavier, D. Xu, G. Yadgir, S. Yadollahpour, A. Yahyazadeh Jabbari, S.H. Yakob, B. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Yentur, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yirsaw, B.D. Yisma, E. Yonemoto, N. Yonga, G. Yoon, S.-J. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zadnik, V. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeleke, A.J. Zenebe, Z.M. Zhang, A.L. Zhang, K. Zhou, M. Zodpey, S. Zuhlke, L.J. Naghavi, M. Murray, C.J.L.

Abstract

GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392: 1736–88—The bottom row in figure 7 was cut off. This correction has been made to the online version as of Nov 9, 2018, and has been made to the printed Article. © 2018 Elsevier Ltd

Published
2018

8. Global, regional, and national age-sex-specific mortality and life expectancy, 1950-2017: A systematic analysis for the Global Burden of Disease Study 2017

Author

Dicker, D. Nguyen, G. Abate, D. Abate, K.H. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdel-Rahman, O. Abdi, A. Abdollahpour, I. Abdulkader, R.S. Abdurahman, A.A. Abebe, H.T. Abebe, M. Abebe, Z. Abebo, T.A. Aboyans, V. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Abu-Rmeileh, N.M.E. Accrombessi, M.M.K. Acharya, P. Adebayo, O.M. Adedeji, I.A. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adhikari, T.B. Adib, M.G. Adou, A.K. Adsuar, J.C. Afarideh, M. Afshin, A. Agarwal, G. Aggarwal, R. Aghayan, S.A. Agrawal, S. Agrawal, A. Ahmadi, M. Ahmadi, A. Ahmadieh, H. Ahmed, M.L.C.B. Ahmed, S. Ahmed, M.B. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akanda, A.S. Akbari, M.E. Akibu, M. Akinyemi, R.O. Akinyemiju, T. Akseer, N. Alahdab, F. Al-Aly, Z. Alam, K. Alebel, A. Aleman, A.V. Alene, K.A. Al-Eyadhy, A. Ali, R. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Allen, C.A. Alonso, J. Al-Raddadi, R.M. Alsharif, U. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Amini, E. Ammar, W. Amoako, Y.A. Anber, N.H. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Anlay, D.Z. Ansari, H. Ansariadi, A. Ansha, M.G. Antonio, C.A.T. Appiah, S.C.Y. Aremu, O. Areri, H.A. Ärnlöv, J. Arora, M. Artaman, A. Aryal, K.K. Asadi-Lari, M. Asayesh, H. Asfaw, E.T. Asgedom, S.W. Assadi, R. Ataro, Z. Atey, T.M.M. Athari, S.S. Atique, S. Atre, S.R. Atteraya, M.S. Attia, E.F. Ausloos, M. Avila-Burgos, L. Avokpaho, E.F.G.A. Awasthi, A. Awuah, B. Ayala Quintanilla, B.P. Ayele, H.T. Ayele, Y. Ayer, R. Ayuk, T.B. Azzopardi, P.S. Azzopardi-Muscat, N. Badali, H. Badawi, A. Balakrishnan, K. Bali, A.G. Banach, M. Banstola, A. Barac, A. Barboza, M.A. Barquera, S. Barrero, L.H. Basaleem, H. Bassat, Q. Basu, A. Basu, S. Baune, B.T. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Béjot, Y. Bekele, B.B. Belachew, A.B. Belay, A.G. Belay, E. Belay, S.A. Belay, Y.A. Bell, M.L. Bello, A.K. Bennett, D.A. Bensenor, I.M. Berhane, A. Berman, A.E. Bernabe, E. Bernstein, R.S. Bertolacci, G.J. Beuran, M. Beyranvand, T. Bhala, N. Bhatia, E. Bhatt, S. Bhattarai, S. Bhaumik, S. Bhutta, Z.A. Biadgo, B. Bijani, A. Bikbov, B. Bililign, N. Bin Sayeed, M.S. Birlik, S.M. Birungi, C. Bisanzio, D. Biswas, T. Bjørge, T. Bleyer, A. Bora Basara, B. Bose, D. Bosetti, C. Boufous, S. Bourne, R. Brady, O.J. Bragazzi, N.L. Brant, L.C. Brazinova, A. Breitborde, N.J.K. Brenner, H. Britton, G. Brugha, T. Burke, K.E. Busse, R. Butt, Z.A. Cahuana-Hurtado, L. Callender, C.S.K.H. Campos-Nonato, I.R. Campuzano Rincon, J.C. Cano, J. Car, M. Cárdenas, R. Carreras, G. Carrero, J.J. Carter, A. Carvalho, F. Castañeda-Orjuela, C.A. Castillo Rivas, J. Castro, F. Catalá-López, F. Çavlin, A. Cerin, E. Chaiah, Y. Champs, A.P. Chang, H.-Y. Chang, J.-C. Chattopadhyay, A. Chaturvedi, P. Chen, W. Chiang, P.P.-C. Chimed-Ochir, O. Chin, K.L. Chisumpa, V.H. Chitheer, A. Choi, J.-Y.J. Christensen, H. Christopher, D.J. Chung, S.-C. Cicuttini, F.M. Ciobanu, L.G. Cirillo, M. Claro, R.M. Cohen, A.J. Collado-Mateo, D. Constantin, M.-M. Conti, S. Cooper, C. Cooper, L.T. Cortesi, P.A. Cortinovis, M. Cousin, E. Criqui, M.H. Cromwell, E.A. Crowe, C.S. Crump, J.A. Cucu, A. Cunningham, M. Daba, A.K. Dachew, B.A. Dadi, A.F. Dandona, L. Dandona, R. Dang, A.K. Dargan, P.I. Daryani, A. Das, S.K. Das Gupta, R. Das Neves, J. Dasa, T.T. Dash, A.P. Davis Weaver, N. Davitoiu, D.V. Davletov, K. Dayama, A. de Courten, B. De la Hoz, F.P. De leo, D. De Neve, J.-W. Degefa, M.G. Degenhardt, L. Degfie, T.T. Deiparine, S. Dellavalle, R.P. Demoz, G.T. Demtsu, B.B. Denova-Gutiérrez, E. Deribe, K. Dervenis, N. Des Jarlais, D.C. Dessie, G.A. Dey, S. Dharmaratne, S.D. Dhimal, M. Ding, E.L. Djalalinia, S. Doku, D.T. Dolan, K.A. Donnelly, C.A. Dorsey, E.R. Douwes-Schultz, D. Doyle, K.E. Drake, T.M. Driscoll, T.R. Dubey, M. Dubljanin, E. Duken, E.E. Duncan, B.B. Duraes, A.R. Ebrahimi, H. Ebrahimpour, S. Edessa, D. Edvardsson, D. Eggen, A.E. El Bcheraoui, C. El Sayed Zaki, M. Elfaramawi, M. El-Khatib, Z. Ellingsen, C.L. Elyazar, I.R.F. Enayati, A. Endries, A.Y.Y. Er, B. Ermakov, S.P. Eshrati, B. Eskandarieh, S. Esmaeili, R. Esteghamati, A. Esteghamati, S. Fakhar, M. Fakhim, H. Farag, T. Faramarzi, M. Fareed, M. Farhadi, F. Farid, T.A. E Sá Farinha, C.S. Farioli, A. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Fazeli, M.S. Feigin, V.L. Feigl, A.B. Feizy, F. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Feyissa, G.T. Fijabi, D.O. Filip, I. Finegold, S. Fischer, F. Flor, L.S. Foigt, N.A. Ford, J.A. Foreman, K.J. Fornari, C. Frank, T.D. Franklin, R.C. Fukumoto, T. Fuller, J.E. Fullman, N. Fürst, T. Furtado, J.M. Futran, N.D. Galan, A. Gallus, S. Gambashidze, K. Gamkrelidze, A. Gankpe, F.G. Garcia-Basteiro, A.L. Garcia-Gordillo, M.A. Gebre, T. Gebre, A.K. Gebregergs, G.B. Gebrehiwot, T.T. Gebremedhin, A.T. Gelano, T.F. Gelaw, Y.A. Geleijnse, J.M. Genova-Maleras, R. Gessner, B.D. Getachew, S. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghasemi Falavarjani, K. Ghasemi-Kasman, M. Ghiasvand, H. Ghimire, M. Ghoshal, A.G. Gill, P.S. Gill, T.K. Gillum, R.F. Giussani, G. Goenka, S. Goli, S. Gomez, R.S. Gomez-Cabrera, M.C. Gómez-Dantés, H. Gona, P.N. Goodridge, A. Gopalani, S.V. Goto, A. Goulart, A.C. Goulart, B.N.G. Grada, A. Grosso, G. Gugnani, H.C. Guimaraes, A.L.S. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Gyawali, B. Haagsma, J.A. Hachinski, V. Hafezi-Nejad, N. Hagos, T.B. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Handal, A.J. Hankey, G.J. Harb, H.L. Harikrishnan, S. Haririan, H. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hay, R.J. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, M. Hendrie, D. Henok, A. Henry, N.J. Heredia-Pi, I. Herteliu, C. Heydarpour, F. Heydarpour, P. Heydarpour, S. Hibstu, D.T. Hoek, H.W. Hole, M.K. Homaie Rad, E. Hoogar, P. Horino, M. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, S. Hostiuc, M. Hotez, P.J. Hoy, D.G. Hsairi, M. Htet, A.S. Hu, G. Huang, J.J. Husseini, A. Hussen, M.M. Hutfless, S. Iburg, K.M. Igumbor, E.U. Ikeda, C.T. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Isehunwa, O.O. Islam, S.M.S. Islami, F. Jahangiry, L. Jahanmehr, N. Jain, R. Jain, S.K. Jakovljevic, M. James, S.L. Javanbakht, M. Jayaraman, S. Jayatilleke, A.U. Jee, S.H. Jeemon, P. Jha, R.P. Jha, V. Ji, J.S. Johnson, S.C. Jonas, J.B. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Madhanraj, K. Kabir, Z. Kadel, R. Kahsay, A. Kahssay, M. Kalani, R. Kapil, U. Karami, M. Karami Matin, B. Karch, A. Karema, C. Karimi, N. Karimi, S.M. Karimi-Sari, H. Kasaeian, A. Kassa, G.M. Kassa, T.D. Kassa, Z.Y. Kassebaum, N.J. Katibeh, M. Katikireddi, S.V. Kaul, A. Kawakami, N. Kazemeini, H. Kazemi, Z. Kazemi Karyani, A. Prakash, K.C. Kebede, S. Keiyoro, P.N. Kemp, G.R. Kengne, A.P. Keren, A. Kereselidze, M. Khader, Y.S. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, G. Khan, M.S. Khan, M.A. Khang, Y.-H. Khanna, T. Khater, M.M. Khatony, A. Khazaie, H. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kibret, G.D.D. Kim, C.-I. Kim, D. Kim, J.Y. Kim, Y.-E. Kimokoti, R.W. Kinfu, Y. Kinra, S. Kisa, A. Kissimova-Skarbek, K. Kissoon, N. Kivimäki, M. Kleber, M.E. Knibbs, L.D. Knudsen, A.K.S. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosek, M.N. Kosen, S. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Krishnaswami, S. Kuate Defo, B. Kucuk Bicer, B. Kudom, A.A. Kuipers, E.J. Kulikoff, X.R. Kumar, G.A. Kumar, M. Kumar, P. Kumsa, F.A. Kutz, M.J. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lam, H. Lami, F.H. Lan, Q. Langan, S.M. Lansingh, V.C. Lansky, S. Larson, H.J. Laryea, D.O. Lassi, Z.S. Latifi, A. Lavados, P.M. Laxmaiah, A. Lazarus, J.V. Lebedev, G. Lee, P.H. Leigh, J. Leshargie, C.T. Leta, S. Levi, M. Li, S. Li, Y. Li, X. Liang, J. Liang, X. Liben, M.L. Lim, L.-L. Lim, S.S. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Logroscino, G. Lonsdale, C. Lorch, S.A. Lorkowski, S. Lotufo, P.A. Lozano, R. Lucas, T.C.D. Lunevicius, R. Lyons, R.A. Ma, S. Mabika, C. Macarayan, E.R.K. Mackay, M.T. Maddison, E.R. Maddison, R. Madotto, F. Magdy Abd El Razek, H. Magdy Abd El Razek, M. Maghavani, D.P. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malik, M.A. Malta, D.C. Mamun, A.A. Manamo, W.A. Manda, A.-L. Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marina, S. Martinez-Raga, J. Martins, S.C.O. Martins-Melo, F.R. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Masiye, F. Massenburg, B.B. Maulik, P.K. Mazidi, M. McGrath, J.J. McKee, M. Mehata, S. Mehendale, S.M. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mekonen, T. Mekonnen, T.C. Meles, H.G. Meles, K.G. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miangotar, Y. Miazgowski, B. Miazgowski, T. Miller, T.R. Mini, G.K. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Moazen, B. Moges, N.A. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadi-Khanaposhtani, M. Mohammadnia-Afrouzi, M. Mohammed, S. Mohammed, M.A. Mohan, V. Mokdad, A.H. Molokhia, M. Monasta, L. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morawska, L. Moreno Velásquez, I. Morgado-Da-costa, J. Morrison, S.D. Mosapour, A. Moschos, M.M. Mousavi, S.M. Muche, A.A. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Mullany, E.C. Muller, K. Murhekar, M. Murphy, T.B. Murthy, G.V.S. Murthy, S. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Nair, S. Najafi, F. Nangia, V. Nansseu, J.R. Nascimento, B.R. Nawaz, H. Ncama, B.P. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, H.T. Nguyen, H.T. Nguyen, L.H. Nguyen, M. Nguyen, T.H. Ningrum, D.N.A. Nirayo, Y.L. Nisar, M.I. Nixon, M.R. Nolutshungu, N. Nomura, S. Norheim, O.F. Noroozi, M. Norrving, B. Noubiap, J.J. Nouri, H.R. Nourollahpour Shiadeh, M. Nowroozi, M.R. Nsoesie, E.O. Nyasulu, P.S. Ofori-Asenso, R. Ogah, O.S. Ogbo, F.A. Oh, I.-H. Okoro, A. Oladimeji, O. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Olusanya, B.O. Olusanya, J.O. Ong, S.K. Opio, J.N. Oren, E. Ortiz, J.R. Ortiz, A. Ota, E. Otstavnov, S.S. Øverland, S. Owolabi, M.O. Oyekale, A.S. Mahesh, P.A. Pacella, R. Pakhale, S. Pakhare, A.P. Pana, A. Panda, B.K. Panda-Jonas, S. Pandey, A.R. Pandian, J.D. Parisi, A. Park, E.-K. Parry, C.D.H. Parsian, H. Patel, S. Patle, A. Patten, S.B. Patton, G.C. Paudel, D. Pearce, N. Peprah, E.K. Pereira, A. Pereira, D.M. Perez, K.M. Perico, N. Pervaiz, A. Pesudovs, K. Petri, W.A. Petzold, M. Phillips, M.R. Pigott, D.M. Pillay, J.D. Pirsaheb, M. Pishgar, F. Plass, D. Polinder, S. Pond, C.D. Popova, S. Postma, M.J. Pourmalek, F. Pourshams, A. Poustchi, H. Prabhakaran, D. Prakash, V. Prakash, S. Prasad, N. Qorbani, M. Quistberg, D.A. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi, K. Rahimi-Movaghar, A. Rahimi-Movaghar, V. Rahman, M. Ur Rahman, M.H. Rahman, M.A. Ur Rahman, S. Rai, R.K. Rajati, F. Rajsic, S. Raju, S.B. Ram, U. Ranabhat, C.L. Ranjan, P. Ranta, A. Rasella, D. Rawaf, D.L. Rawaf, S. Ray, S.E. Razo-García, C. Rego, M.A.S. Rehm, J. Reiner, R.C. Reinig, N. Reis, C. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezaeian, S. Rezai, M.S. Riahi, S.M. Ribeiro, A.L.P. Riojas, H. Rios-Blancas, M.J. Roba, K.T. Robinson, S.R. Roever, L. Ronfani, L. Roshandel, G. Roshchin, D.O. Rostami, A. Rothenbacher, D. Rubagotti, E. Ruhago, G.M. Saadat, S. Sabde, Y.D. Sachdev, P.S. Saddik, B. Sadeghi, E. Saeedi Moghaddam, S. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salahshoor, M. Salam, N. Salama, J.S. Salamati, P. Saldanha, R.F. Salimi, Y. Salimzadeh, H. Salz, I. Sambala, E.Z. Samy, A.M. Sanabria, J. Sanchez-Niño, M.D. Santos, I.S. Santos, J.V. Santric Milicevic, M.M. Sao Jose, B.P. Sardana, M. Sarker, A.R. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Savic, M. Sawant, A.R. Sawhney, M. Saxena, S. Sayyah, M. Scaria, V. Schaeffner, E. Schelonka, K. Schmidt, M.I. Schneider, I.J.C. Schöttker, B. Schutte, A.E. Schwebel, D.C. Schwendicke, F. Scott, J.G. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Shabaninejad, H. Shackelford, K.A. Shafieesabet, A. Shaheen, A.A. Shaikh, M.A. Shakir, R.A. Shams-Beyranvand, M. Shamsi, M. Shamsizadeh, M. Sharafi, H. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, M. Sharma, J. Sharma, R. She, J. Sheikh, A. Sheth, K.N. Shi, P. Shibuya, K. Shifa, G.T. Shiferaw, M.S. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Shokraneh, F. Shrime, M.G. Shukla, S.R. Si, S. Siabani, S. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silpakit, N. Silva, D.A.S. Silva, J.P. Silveira, D.G.A. Singam, N.S.V. Singh, J.A. Singh, V. Sinha, A.P. Sinha, D.N. Sitas, F. Skirbekk, V. Sliwa, K. Soares Filho, A.M. Sobaih, B.H. Sobhani, S. Soofi, M. Soriano, J.B. Soyiri, I.N. Sposato, L.A. Sreeramareddy, C.T. Srinivasan, V. Srivastava, R.K. Starodubov, V.I. Stathopoulou, V. Steel, N. Stein, D.J. Steiner, C. Stewart, L.G. Stokes, M.A. Sudaryanto, A. Sufiyan, M.B. Sulo, G. Sunguya, B.F. Sur, P.J. Sutradhar, I. Sykes, B.L. Sylaja, P.N. Sylte, D.O. Szoeke, C.E.I. Tabarés-Seisdedos, R. Tabuchi, T. Tadakamadla, S.K. Takahashi, K. Tandon, N. Tassew, A.A. Tassew, S.G. Tavakkoli, M. Taveira, N. Tawye, N.Y. Tehrani-Banihashemi, A. Tekalign, T.G. Tekle, M.G. Temesgen, H. Temsah, M.-H. Temsah, O. Terkawi, A.S. Teshale, M.Y. Tessema, B. Teweldemedhin, M. Thakur, J.S. Thankappan, K.R. Thirunavukkarasu, S. Thomas, L.A. Thomas, N. Thrift, A.G. Tilahun, B. To, Q.G. Tobe-Gai, R. Tonelli, M. Topor-Madry, R. Topouzis, F. Torre, A.E. Tortajada-Girbés, M. Tovani-Palone, M.R. Towbin, J.A. Tran, B.X. Tran, K.B. Tripathi, S. Tripathy, S.P. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsilimparis, N. Tudor Car, L. Tuzcu, E.M. Tyrovolas, S. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Vasconcelos, A.M.N. Venketasubramanian, N. Vidavalur, R. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagner, G.R. Wagnew, F.W.S. Waheed, Y. Wang, Y. Wang, Y.-P. Wassie, M.M. Weiderpass, E. Weintraub, R.G. Weiss, D.J. Weiss, J. Weldegebreal, F. Weldegwergs, K.G. Werdecker, A. Westerman, R. Whiteford, H.A. Widecka, J. Widecka, K. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wondemagegn, S.A. Wu, S. Wyper, G.M.A. Xu, G. Yadav, R. Yakob, B. Yamada, T. Yan, L.L. Yano, Y. Yaseri, M. Yasin, Y.J. Ye, P. Yearwood, J.A. Yentür, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. York, H.W. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zachariah, G. Zadnik, V. Zafar, S. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeeb, H. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, K. Zhang, X. Zhou, M. Zhu, J. Zodpey, S. Zucker, I. Zuhlke, L.J.J. Lopez, A.D. Gakidou, E. Murray, C.J.L. GBD 2017 Mortality Collaborators

Abstract

Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. © 2018 The Author(s).

Published
2018

9. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author

Lozano, R. Fullman, N. Abate, D. Abay, S.M. Abbafati, C. Abbasi, N. Abbastabar, H. Abd-Allah, F. Abdela, J. Abdelalim, A. Abdel-Rahman, O. Abdi, A. Abdollahpour, I. Abdulkader, R.S. Abebe, N.D. Abebe, Z. Abejie, A.N. Abera, S.F. Abil, O.Z. Aboyans, V. Abraha, H.N. Abrham, A.R. Abu-Raddad, L.J. Abu-Rmeileh, N.M. Abyu, G.Y. Accrombessi, M.M.K. Acharya, D. Acharya, P. Adamu, A.A. Adebayo, O.M. Adedeji, I.A. Adedoyin, R.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adhikari, T.B. Adib, M.G. Adou, A.K. Adsuar, J.C. Afarideh, M. Afshari, M. Afshin, A. Agarwal, G. Aghayan, S.A. Agius, D. Agrawal, A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmadieh, H. Ahmed, M.B. Ahmed, S. Akalu, T.Y. Akanda, A.S. Akbari, M.E. Akibu, M. Akinyemi, R.O. Akinyemiju, T. Akseer, N. Alahdab, F. Al-Aly, Z. Alam, K. Alam, T. Albujeer, A. Alebel, A. Alene, K.A. Al-Eyadhy, A. Alhabib, S. Ali, R. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Allen, C.A. Almasi, A. Al-Maskari, F. Al-Mekhlafi, H.M. Alonso, J. Al-Raddadi, R.M. Alsharif, U. Altirkawi, K. Alvis-Guzman, N. Amare, A.T. Amenu, K. Amini, E. Ammar, W. Anber, N.H. Anderson, J.A. Andrei, C.L. Androudi, S. Animut, M.D. Anjomshoa, M. Ansari, H. Ansariadi, A. Ansha, M.G. Antonio, C.A.T. Anwari, P. Appiah, L.T. Aremu, O. Areri, H.A. Ärnlöv, J. Arora, M. Aryal, K.K. Asayesh, H. Asfaw, E.T. Asgedom, S.W. Asghar, R.J. Assadi, R. Ataro, Z. Atique, S. Atre, S.R. Atteraya, M.S. Ausloos, M. Avila-Burgos, L. Avokpaho, E.F.G.A. Awasthi, A. Quintanilla, B.P.A. Ayele, H.T. Ayele, Y. Ayer, R. Azarpazhooh, M.R. Azzopardi, P.S. Azzopardi-Muscat, N. Babalola, T.K. Babazadeh, A. Badali, H. Badawi, A. Balakrishnan, K. Bali, A.G. Banach, M. Banerjee, A. Banoub, J.A.M. Banstola, A. Barac, A. Barboza, M.A. Barker-Collo, S.L. Bärnighausen, T.W. Barrero, L.H. Barthelemy, C.M. Bassat, Q. Basu, A. Basu, S. Battista, R.J. Baune, B.T. Baynes, H.W. Bazargan-Hejazi, S. Bedi, N. Beghi, E. Behzadifar, M. Behzadifar, M. Béjot, Y. 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Edvardsson, D. El Bcheraoui, C. Eldrenkamp, E. El-Khatib, Z. Elyazar, I.R.F. Enayati, A. Endries, A.Y. Eshrati, B. Eskandarieh, S. Esteghamati, A. Esteghamati, S. Estep, K. Fakhar, M. Fakhim, H. Fanzo, J. Faramarzi, M. Fareed, M. Farhadi, F. Farid, T.A. Farinha, C.S.E.S. Farioli, A. Faro, A. Farvid, M.S. Farzadfar, F. Farzaei, M.H. Farzam, H. Fazaeli, A.A. Fazeli, M.S. Feigin, V.L. Feigl, A.B. Fekadu, W. Feldman, R. Fentahun, N. Fereshtehnejad, S.-M. Fernandes, E. Fernandes, J.C. Feyissa, G.T. Fijabi, D.O. Filip, I. Finegold, S. Finger, J.D. Fischer, F. Fitzmaurice, C. Flor, L.S. Foigt, N.A. Foreman, K.J. Frank, T.D. Franklin, R.C. Fukumoto, T. Fukutaki, K. Fuller, J.E. Fürst, T. Furtado, J.M. Gakidou, E. Gallus, S. Gankpe, F.G. Gansevoort, R.T. Garcia, A.C. Garcia-Basteiro, A.L. Garcia-Gordillo, M.A. Gardner, W.M. Gebre, A.K. Gebre, T. Gebregergs, G.B. Gebrehiwot, T.T. Gebremedhin, A.T. Gebremichael, B. Gebremichael, T.G. Gelano, T.F. Geleijnse, J.M. Geramo, Y.C.D. Getachew, S. Gething, P.W. Gezae, K.E. Ghadami, M.R. Ghadimi, R. Ghadiri, K. Ghasemi-Kasman, M. Ghiasvand, H. Ghimire, M. Ghoshal, A.G. Giampaoli, S. Gill, P.S. Gill, T.K. Giussani, G. Gnedovskaya, E.V. Goldberg, E.M. Goli, S. Gona, P.N. Goodridge, A. Gopalani, S.V. Gorman, T.M. Goto, A. Goulart, A.C. Goulart, B.N.G. Grada, A. Griswold, M.G. Grosso, G. Gugnani, H.C.C. Guillemin, F. Guimaraes, A.L.S. Guo, Y. Gupta, P.C. Gupta, R. Gupta, R. Gupta, T. Ha, G.H. Haagsma, J.A. Hachinski, V. Hafezi-Nejad, N. Bidgoli, H.H. Hagos, T.B. Haile, M.T. Hailegiyorgis, T.T. Hailu, G.B. Haj-Mirzaian, A. Haj-Mirzaian, A. Hamadeh, R.R. Hamidi, S. Hankey, G.J. Harb, H.L. Harikrishnan, S. Haririan, H. Haro, J.M. Hasan, M. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hawley, C.N. Hay, S.I. He, Y. Hedayatizadeh-Omran, A. Hegazy, M.I. Heibati, B. Heidari, B. Heidari, M. Hendrie, D. Henok, A. Heredia-Pi, I. Herteliu, C. Heydarpour, B. Heydarpour, F. Heydarpour, S. Hibstu, D.T. Híjar, M. Hoek, H.W. Hoffman, D.J. Hole, M.K. Homaie Rad, E. Hoogar, P. Horita, N. Hosgood, H.D. Hosseini, S.M. Hosseinzadeh, M. Hostiuc, M. Hostiuc, S. Hotez, P.J. Hoy, D.G. Hsairi, M. Hsiao, T. Hu, G. Huang, J.J. Hughes, C. Huynh, C.K. Igumbor, E.U. Ikeda, C.T. Ilesanmi, O.S. Iqbal, U. Irvani, S.S.N. Irvine, C.M.S. Islam, S.M.S. Islami, F. Ivers, R.Q. Izadi, N. Jacobsen, K.H. Jahangiry, L. Jahanmehr, N. Jain, S.K. Jakovljevic, M. Jalu, M.T. Jamal, A.A. James, S.L. Jassal, S.K. Javanbakht, M. Jayatilleke, A.U. Jeemon, P. Jha, R.P. Jha, V. Ji, J.S. Johnson, C.O. Johnson, S.C. Jonas, J.B. Jonnagaddala, J. Shushtari, Z.J. Joshi, A. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Madhanraj, K. Kabir, Z. Kadel, R. Kahsay, A. Kahssay, M. Kalani, R. Kapil, U. Karami, M. Matin, B.K. Karanikolos, M. Karimi, N. Karimi, S.M. Karimi-Sari, H. Kasaeian, A. Kassa, D.H. Kassa, G.M. Kassa, T.D. Kassa, Z.Y. Kassebaum, N.J. Katikireddi, S.V. Kaul, A. Kawakami, N. Kazemi, Z. Karyani, A.K. Kazi, D.S. Prakash, K.C. Kebede, S. Keiyoro, P.N. Kemmer, L. Kemp, G.R. Kengne, A.P. Keren, A. Kesavachandran, C.N. Khader, Y.S. Khafaei, B. Khafaie, M.A. Khajavi, A. Khalid, N. Khalil, I.A. Khan, E.A. Khan, M.S. Khan, M.A. Khang, Y.-H. Khanna, T. Khater, M.M. Khatony, A. Khazaeipour, Z. Khazaie, H. Khoja, A.T. Khosravi, A. Khosravi, M.H. Khubchandani, J. Kiadaliri, A.A. Kiarie, H.W. Kibret, G.D. Kiirithio, D.N. Kim, D. Kim, J.Y. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kinra, S. Kisa, A. Kissimova-Skarbek, K. Kissoon, N. Kivimäki, M. Kocarnik, J.M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosek, M.N. Kosen, S. Koul, P.A. Koyanagi, A. Kravchenko, M.A. Krishan, K. Krohn, K.J. Defo, B.K. Kucuk Bicer, B. Kudom, A.A. Kulikoff, X.R. Kumar, G.A. Kumar, M. Kumar, P. Kutz, M.J. Kyu, H.H. Lachat, C. Lad, D.P. Lad, S.D. Lafranconi, A. Lagat, A.K. Lal, D.K. Lalloo, R. Lam, H. Lami, F.H. Lamichhane, P. Lan, Q. Lang, J.J. Lansingh, V.C. Lansky, S. Larson, H.J. Larsson, A.O. Laryea, D.O. Lassi, Z.S. Latifi, A. Lau, K.M.-M. Laxmaiah, A. Lazarus, J.V. Leasher, J.L. Lebedev, G. Ledesma, J.R. Lee, J.B. Lee, P.H. Leever, A.T. Leigh, J. Leinsalu, M. Leshargie, C.T. Leung, J. Lewycka, S. Li, S. Li, X. Li, Y. Liang, J. Liang, X. Liben, M.L. Lim, L.-L. Limenih, M.A. Linn, S. Liu, S. Liu, Y. Lodha, R. Logroscino, G. Lopez, A.D. Lorkowski, S. Lotufo, P.A. Lucchesi, L.R. Lyons, R.A. Macarayan, E.R.K. Mackay, M.T. Maddison, E.R. Madotto, F. Maghavani, D.P. Magis-Rodriguez, C. Mahotra, N.B. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malta, D.C. Mamun, A.A. Manda, A.-L. Mandarano-Filho, L.G. Mangalam, S. Manguerra, H. Mansournia, M.A. Mapoma, C.C. Maravilla, J.C. Marcenes, W. Marks, A. Martin, R.V. Martins, S.C.O. Martins-Melo, F.R. Martopullo, I. Mashamba-Thompson, T.P. Massenburg, B.B. Mathur, M.R. Maulik, P.K. Mazidi, M. McAlinden, C. McGrath, J.J. McKee, M. McMahon, B.J. Mehata, S. Mehndiratta, M.M. Mehrotra, R. Mehta, K.M. Mehta, V. Mejia-Rodriguez, F. Mekonen, T. Mekonnen, T.C.C. Meles, H.G. Melese, A. Melku, M. 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Roberts, N.L.S. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Roth, G.A. Roy, A. Rubagotti, E. Ruhago, G.M. Sabde, Y.D. Sachdev, P.S. Saddik, B. Sadeghi, E. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salam, N. Salama, J.S. Salamati, P. De Freitas Saldanha, R. Saleem, Z. Salimi, Y. Salimzadeh, H. Salomon, J.A. Salvi, S.S. Salz, I. Sambala, E.Z. Samy, A.M. Sanabria, J. Sanchez-Niño, M.D. Santos, I.S. Milicevic, M.M.S. Jose, B.P.S. Sardana, M. Sarker, A.R. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Savic, M. Sawant, A.R. Sawhney, M. Saxena, S. Saylan, M. Sayyah, M. Schaeffner, E. Schmidt, M.I. Schneider, I.J.C. Schöttker, B. Schutte, A.E. Schwebel, D.C. Schwendicke, F. Seedat, S. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Seyedmousavi, S. Shabaninejad, H. Shackelford, K.A. Shafieesabet, A. Shaheen, A.A. Shaikh, M.A. Shams-Beyranvand, M. Shamsi, M.B. Shamsizadeh, M. Sharafi, H. 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Abstract

Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59·4 (IQR 35·4–67·3), ranging from a low of 11·6 (95% uncertainty interval 9·6–14·0) to a high of 84·9 (83·1–86·7). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Published
2018

10. Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Murray, C.J.L. Callender, C.S.K.H. Kulikoff, X.R. Srinivasan, V. Abate, D. Abate, K.H. Abay, S.M. Abbasi, N. Abbastabar, H. Abdela, J. Abdelalim, A. Abdel-Rahman, O. Abdi, A. Abdoli, N. Abdollahpour, I. Abdulkader, R.S. Abebe, H.T. Abebe, M. Abebe, Z. Abebo, T.A. Abejie, A.N. Aboyans, V. Abraha, H.N. Abreu, D.M.X. Abrham, A.R. Abu-Raddad, L.J. Abu-Rmeileh, N.M.E. Accrombessi, M.M.K. Acharya, P. Adamu, A.A. Adebayo, O.M. Adedeji, I.A. Adekanmbi, V. Adetokunboh, O.O. Adhena, B.M. Adhikari, T.B. Adib, M.G. Adou, A.K. Adsuar, J.C. Afarideh, M. Afshin, A. Agarwal, G. Agesa, K.M. Aghayan, S.A. Agrawal, S. Ahmadi, A. Ahmadi, M. Ahmed, M.B. Ahmed, S. Aichour, A.N. Aichour, I. Aichour, M.T.E. Akanda, A.S. Akbari, M.E. Akibu, M. Akinyemi, R.O. Akinyemiju, T. Akseer, N. Alahdab, F. Al-Aly, Z. Alam, K. Alebel, A. Aleman, A.V. Alene, K.A. Al-Eyadhy, A. Ali, R. Alijanzadeh, M. Alizadeh-Navaei, R. Aljunid, S.M. Alkerwi, A. Alla, F. Allebeck, P. Almasi, A. Alonso, J. Al-Raddadi, R.M. Alsharif, U. 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Khazaie, H. Khoja, A.T. Khosravi, A. Khosravi, M.H. Kibret, G.D. Kidanemariam, Z.T. Kiirithio, D.N. Kilgore, P.E. Kim, D. Kim, J.Y. Kim, Y.-E. Kim, Y.J. Kimokoti, R.W. Kinfu, Y. Kinra, S. Kisa, A. Kivimäki, M. Kochhar, S. Kokubo, Y. Kolola, T. Kopec, J.A. Kosek, M.N. Kosen, S. Koul, P.A. Koyanagi, A. Krishan, K. Krishnaswami, S. Krohn, K.J. Defo, B.K. Bicer, B.K. Kumar, G.A. Kumar, M. Kumar, P. Kumsa, F.A. Kutz, M.J. Lad, S.D. Lafranconi, A. Lal, D.K. Lalloo, R. Lam, H. Lami, F.H. Lang, J.J. Lansky, S. Lansingh, V.C. Laryea, D.O. Lassi, Z.S. Latifi, A. Laxmaiah, A. Lazarus, J.V. Lee, J.B. Lee, P.H. Leigh, J. Leshargie, C.T. Leta, S. Levi, M. Li, S. Li, X. Li, Y. Liang, J. Liang, X. Liben, M.L. Lim, L.-L. Limenih, M.A. Linn, S. Liu, S. Lorkowski, S. Lotufo, P.A. Lozano, R. Lunevicius, R. Mabika, C.M. Macarayan, E.R.K. Mackay, M.T. Madotto, F. Mahmood, T.A.E. Mahotra, N.B. Majdan, M. Majdzadeh, R. Majeed, A. Malekzadeh, R. Malik, M.A. Mamun, A.A. Manamo, W.A. Manda, A.-L. Mangalam, S. Mansournia, M.A. Mantovani, L.G. Mapoma, C.C. Marami, D. Maravilla, J.C. Marcenes, W. Marina, S. Martins-Melo, F.R. März, W. Marzan, M.B. Mashamba-Thompson, T.P. Masiye, F. Mason-Jones, A.J. Massenburg, B.B. Mathur, M.R. Maulik, P.K. Mazidi, M. McGrath, J.J. Mehata, S. Mehendale, S.M. Mehndiratta, M.M. Mehrotra, R. Mehrzadi, S. Mehta, K.M. Mehta, V. Mekonnen, T.C. Meles, H.G. Meles, K.G. Melese, A. Melku, M. Memiah, P.T.N. Memish, Z.A. Mendoza, W. Mengesha, M.M. Mengistu, D.T. Mengistu, G. Mensah, G.A. Mereta, S.T. Meretoja, A. Meretoja, T.J. Mestrovic, T. Mezgebe, H.B. Miangotar, Y. Miazgowski, B. Miazgowski, T. Miller, T.R. Miller-Petrie, M.K. Mini, G.K. Mirabi, P. Mirica, A. Mirrakhimov, E.M. Misganaw, A.T. Moazen, B. Mohammad, K.A. Mohammadi, M. Mohammadifard, N. Mohammadi-Khanaposhtani, M. Mohammed, M.A. Mohammed, S. Mokdad, A.H. Mola, G.D. Molokhia, M. Monasta, L. Montañez, J.C. Moradi, G. Moradi, M. Moradi-Lakeh, M. Moradinazar, M. Moraga, P. Morgado-Da-Costa, J. Mori, R. Morrison, S.D. Mosapour, A. Moschos, M.M. Mousavi, S.M. Muche, A.A. Muchie, K.F. Mueller, U.O. Mukhopadhyay, S. Murphy, T.B. Muller, K. Murthy, G.V.S. Musa, J. Musa, K.I. Mustafa, G. Muthupandian, S. Nachega, J.B. Nagel, G. Naghavi, M. Naheed, A. Nahvijou, A. Naik, G. Naik, P. Najafi, F. Naldi, L. Nangia, V. Nansseu, J.R. Nascimento, B.R. Nawaz, H. Ncama, B.P. Neamati, N. Negoi, I. Negoi, R.I. Neupane, S. Newton, C.R.J. Ngalesoni, F.N. Ngunjiri, J.W. Nguyen, G. Nguyen, L.H. Nguyen, T.H. Ningrum, D.N.A. Nirayo, Y.L. Nisar, M.I. Nixon, M.R. Nomura, S. Noroozi, M. Noubiap, J.J. Nouri, H.R. Nourollahpour Shiadeh, M. Nowroozi, M.R. Nyandwi, A. Nyasulu, P.S. Odell, C.M. Ofori-Asenso, R. Ogah, O.S. Ogbo, F.A. Oh, I.-H. Okoro, A. Oladimeji, O. Olagunju, A.T. Olagunju, T.O. Olivares, P.R. Olusanya, B.O. Olusanya, J.O. Ong, S.K. Ortiz, A. Osgood-Zimmerman, A. Ota, E. Otieno, B.A. Otstavnov, S.S. Owolabi, M.O. Oyekale, A.S. Mahesh, P.A. Pakhale, S. Pakhare, A.P. Pana, A. Panda, B.K. Panda-Jonas, S. Pandey, A.R. Park, E.-K. Parsian, H. Patel, S. Patil, S.T. Patle, A. Patton, G.C. Paturi, V.R. Paudel, D. Pedroso, M.M. Peprah, E.K. Pereira, D.M. Perico, N. Pesudovs, K. Petri, W.A. Petzold, M. Pierce, M. Pigott, D.M. Pillay, J.D. Pirsaheb, M. Polanczyk, G.V. Postma, M.J. Pourmalek, F. Pourshams, A. Poustchi, H. Prakash, S. Prasad, N. Purcell, C.A. Purwar, M.B. Qorbani, M. Quansah, R. Radfar, A. Rafay, A. Rafiei, A. Rahim, F. Rahimi-Movaghar, A. Rahimi-Movaghar, V. Rahman, M. Rahman, M.S. Ur Rahman, M.H. Rahman, M.A. Ur Rahman, S. Rai, R.K. Rajati, F. Rajsic, S. Ram, U. Ranabhat, C.L. Ranjan, P. Rawaf, D.L. Rawaf, S. Ray, S.E. Razo-García, C. Reiner, R.C. Reis, C. Remuzzi, G. Renzaho, A.M.N. Resnikoff, S. Rezaei, S. Rezaeian, S. Rezai, M.S. Riahi, S.M. Rios-Blancas, M.J. Roba, K.T. Roberts, N.L.S. Roever, L. Ronfani, L. Roshandel, G. Rostami, A. Rubagotti, E. Ruhago, G.M. Sabde, Y.D. Sachdev, P.S. Saddik, B. Moghaddam, S.S. Safari, H. Safari, Y. Safari-Faramani, R. Safdarian, M. Safi, S. Safiri, S. Sagar, R. Sahebkar, A. Sahraian, M.A. Sajadi, H.S. Salahshoor, M. Salam, N. Salama, J.S. Salamati, P. Saldanha, R.D.F. Saleem, Z. Salimi, Y. Salimzadeh, H. Salomon, J.A. Salvi, S.S. Salz, I. Sambala, E.Z. Samy, A.M. Sanabria, J. Sanchez-Niño, M.D. Santos, I.S. Santric Milicevic, M.M. Sao Jose, B.P. Sardana, M. Sarker, A.R. Sarmiento-Suárez, R. Saroshe, S. Sarrafzadegan, N. Sartorius, B. Sarvi, S. Sathian, B. Satpathy, M. Sawant, A.R. Sawhney, M. Saxena, S. Schaeffner, E. Schelonka, K. Schneider, I.J.C. Schwebel, D.C. Schwendicke, F. Seedat, S. Sekerija, M. Sepanlou, S.G. Serván-Mori, E. Shabaninejad, H. Shackelford, K.A. Shafieesabet, A. Shaheen, A.A. Shaikh, M.A. Shakir, R.A. Shams-Beyranvand, M. Shamsi, M. Shamsizadeh, M. Sharafi, H. Sharafi, K. Sharif, M. Sharif-Alhoseini, M. Sharma, J. Sharma, R. She, J. Sheikh, A. Shi, P. Shibuya, K. Shigematsu, M. Shiri, R. Shirkoohi, R. Shiue, I. Shokraneh, F. Shukla, S.R. Si, S. Siabani, S. Sibai, A.M. Siddiqi, T.J. Sigfusdottir, I.D. Sigurvinsdottir, R. Silpakit, N. Silva, D.A.S. Silva, J.P. Silveira, D.G.A. Singam, N.S.V. Singh, J.A. Singh, N.P. Singh, V. Sinha, D.N. Sliwa, K. Soares Filho, A.M. Sobaih, B.H. Sobhani, S. Soofi, M. Soriano, J.B. Soyiri, I.N. Sreeramareddy, C.T. Starodubov, V.I. Steiner, C. Stewart, L.G. Stokes, M.A. Strong, M. Subart, M.L. Sufiyan, M.B. Sulo, G. Sunguya, B.F. Sur, P.J. Sutradhar, I. Sykes, B.L. Sylaja, P.N. Sylte, D.O. Szoeke, C.E.I. Tabarés-Seisdedos, R. Tabb, K.M. Tadakamadla, S.K. Tandon, N. Tassew, A.A. Tassew, S.G. Taveira, N. Tawye, N.Y. Tehrani-Banihashemi, A. Tekalign, T.G. Tekle, M.G. Temsah, M.-H. Terkawi, A.S. Teshale, M.Y. Tessema, B. Teweldemedhin, M. Thakur, J.S. Thankappan, K.R. Thirunavukkarasu, S. Thomas, N. Thomson, A.J. Tilahun, B. To, Q.G. Tonelli, M. Topor-Madry, R. Torre, A.E. Tortajada-Girbés, M. Tovani-Palone, M.R. Toyoshima, H. Tran, B.X. Tran, K.B. Tripathy, S.P. Truelsen, T.C. Truong, N.T. Tsadik, A.G. Tsegay, A. Tsilimparis, N. Car, L.T. Ukwaja, K.N. Ullah, I. Usman, M.S. Uthman, O.A. Uzun, S.B. Vaduganathan, M. Vaezi, A. Vaidya, G. Valdez, P.R. Varavikova, E. Varughese, S. Vasankari, T.J. Vasconcelos, A.M.N. Venketasubramanian, N. Villafaina, S. Violante, F.S. Vladimirov, S.K. Vlassov, V. Vollset, S.E. Vos, T. Vosoughi, K. Vujcic, I.S. Wagnew, F.S. Waheed, Y. Walson, J.L. Wang, Y. Wang, Y.-P. Weiderpass, E. Weintraub, R.G. Weldegwergs, K.G. Werdecker, A. Westerman, R. Whiteford, H. Widecka, J. Widecka, K. Wijeratne, T. Winkler, A.S. Wiysonge, C.S. Wolfe, C.D.A. Wu, S. Wyper, G.M.A. Xu, G. Yamada, T. Yano, Y. Yaseri, M. Yasin, Y.J. Ye, P. Yentür, G.K. Yeshaneh, A. Yimer, E.M. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. Yotebieng, M. Younis, M.Z. Yousefifard, M. Yu, C. Zadnik, V. Zaidi, Z. Zaman, S.B. Zamani, M. Zare, Z. Zeleke, M.M. Zenebe, Z.M. Zerfu, T.A. Zhang, X. Zhao, X.-J. Zhou, M. Zhu, J. Zimsen, S.R.M. Zodpey, S. Zoeckler, L. Lopez, A.D. Lim, S.S. GBD 2017 Population Fertility Collaborators

Abstract

Background: Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods: We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings: From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age (age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years (TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of 3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation: Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Funding: Bill & Melinda Gates Foundation. © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Published
2018

15. Combining ability of rice genotypes under coastal saline conditions.

Author

Vanave, P. B., Vaidya, G. B., and Jadhav, B. D.

Subjects
*EFFECT of salts on crops, *RICE yields, *RICE breeding, *SOIL salinity, RICE genetics
Abstract

Information on combining ability is derived from data on eleven yield and yield contributing characters in twelve male and four female parents utilised in line x tester fashion to estimate combining ability of rice genotypes under coastal saline condition. Dandi, Kalarata, NVSR 6108, Panvel 1 and NAUR 1 found the most promising parents on the basis of their combining bility and per se performance and hence they could be used extensively in breeding programme for improving grain yield in rice under coastal salt affected soil. Also, it could be concluded from this study that the parents differed in their combining ability effect for different traits and that no parent can be good combiner for all the traits under coastal saline condition. [ABSTRACT FROM AUTHOR]

Published
2018
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16. Techniques for Optimal Placement and Sizing of Distributed Energy Resources: a Review.

Author

Galgali, V. S., Ramachandran, M., and Vaidya, G. A.

Subjects
SPECTRAL energy distribution, ELECTRIC power production, BEES algorithm
Abstract

Distributed energy resources (DER) are much smaller electricity generation units compared to conventional generating plants. DERs offer the benefits like voltage control, network loss minimization and reliability. Studies conducted have indicated that placement and sizing of DER have critical influence over distribution network operation. Optimal placement and sizing of distributed energy resources (OPSDER) is essential to ensure stable as well as reliable operation of the power system. Many techniques have been applied for this purpose. OPSDER problem has been solved keeping single as well as multiple objectives in the view and taking into account the constraints imposed. This paper reviews the various optimization techniques employed for OPSDER. [ABSTRACT FROM AUTHOR]

Published
2017
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18. Combining ability for yield and yield attributing characters in rabi mungbean [Vigna radiata (L.) Wilczek.].

Author

Vaidya, G. B., Chauhan, D. A., Narwade, A. V., Kale, B. H., and Patil, A. B.

Subjects
*MUNG bean, *GENOTYPES, *GENE expression, *CROP yields, *AGRICULTURAL research
Abstract

Seven genotypically diverse lines of mungbean were crossed in diallele fashion to identify genotypes with high general combining ability and specific cross combinations with high specific combining ability for yield and yield attributes in rabi season excluding reciprocals. The analysis for combining ability revealed significant mean sum of squares due to general and specific combining ability for all the characters studied indicating importance of both additive as well as non-additive gene effects involved in the expression of all the characters. Higher magnitude of general combining ability variances for most of the traits except for number of branches per plant, pod length, number of seeds per pod and harvest index pointed out the preponderance of additive component of the genetic variance in the expression of the characters under study. The good general combiners for yield attributing traits were Co-4, GBM-1 and Meha and the best specific cross combinations having the highest SCA effect for yield and yield attributing traits were Co-4 x Meha, Co-4 x GBM-1, Rm-9-126 x Rm-9-134, GBM-1 x Meha and Rm-9-133 x GBM-1. This cross combinations could be utilized for further breeding programmes for the development of rabi mungbean varieties with chilling tolerant ability or photo-thermo insensitivity, so as to exploit potential of rabi mungbean in rice fallows of heavy rainfall zone. [ABSTRACT FROM AUTHOR]

Published
2016
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19. Heterosis for yield and yield attributing characters in rabi mungbean [Vigna radiata (L.) Wilckzek].

Author

Vaidya, G. B., Chauhan, D. A., Narwade, A. V., Kale, B. H., and Pandya, M. M.

Subjects
*HETEROSIS in plants, *MUNG bean, *PLANT yields, *CULTIVARS, *EFFECT of rainfall on plants, *PLANT development
Abstract

Twenty one crosses resulting from 7 × 7 diallel excluding reciprocal were studied to know the magnitude of heterosis over better parent and standard variety for yield and its attributing characters in rabi mungbean. The highest heterosis to the extent of 37.23% over the check Co-4 and 82.20% over the check GBM-1 was observed in cross combination Co-4 × Meha for seed yield per plant, which also exhibited high heterosis percentage for yield and yield components. The promising hybrids viz. Co-4 × Meha, Co-4 × GBM-1, GBM-1 × Meha and Rm-9-129 × Co-4 were identified which have great potential to exploit the hybrid vigour or to isolate the desirable segregants for the development of rabi mungbean varieties with chilling tolerant ability or photo-thermo insensitivity, so as to exploit potential of rabi mungbean in heavy rainfall zone as rice fallows. [ABSTRACT FROM AUTHOR]

Published
2016
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22. Enhanced magnetoresistance in lateral spin-valves.

Author

Adari, R., Patil, T., Murthy, M., Maheshwari, R., Vaidya, G., Ganguly, S., and Saha, D.

Subjects
SPIN valves, MAGNETIC devices, SPINTRONICS, MAGNETIC fields, MAGNETORESISTANCE
Abstract

The effect of feature sizes on the characteristics of lateral spintronic devices have been investigated experimentally and theoretically. It is demonstrated that confining spin-transport in the active region of a device enhances magnitude of the spin-dependent response substantially. Numerical simulation of spin-transport corroborates the experimental observations. Device characteristics are found to be a strong function of spin-polarizer and analyzer dimensions. The response is observed to attain a peak value for an optimum device feature size, and this is seen to be a function of temperature. Spin dependent effects become weaker for very small and very large devices. [ABSTRACT FROM AUTHOR]

Published
2010
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24. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author

Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Mahdi, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Monika, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banerjee, Amitava, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Barthelemy, Celine M, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Battista, Robert J, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu 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Subjects
GENDER-DIFFERENCES, SUICIDE, Medicine (all), Burden of Disease Study 2017, SDG, CONSUMPTION, 11 Medical And Health Sciences, GBD, Sustainable Development Goals, PREVENTION, ALCOHOL-USE, CARDIOVASCULAR-DISEASE, SMOKING PREVALENCE, General & Internal Medicine, factors risk, Medicine and Health Sciences, Human medicine, CESSATION, PERSPECTIVE, TRANSITION
Abstract

Background Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of "leaving no one behind", it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health -related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. Methods We measured progress on 41 health-related S DG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2.5th percentile and 100 as the 97.5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings The global median health-related SDG index in 2017 was 59.4 (IQR 35.4-67.3), ranging from a low of 11.6 (95% uncertainty interval 9.6-14.0) to a high of 84.9 (83.1-86.7). SDG index values in countries assessed at the subnational level varied substantially particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attaimnent by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation The GBD study offers a unique, robust platform for monitoring the health -related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health -related SDG indicators, NCDs, NCD-related risks, and violence -related indicators will require a concerted shift away from what might have driven past gains curative interventions in the case of NCDs towards multisectoral, prevention -oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the S DGs. What is clear is that our actions or inaction today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.

Published
2018

25. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Roth, Gregory A., Collaborotors, G. B. D.Causes Death, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M., Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Load, Abdela, Jemal, Abdelalim, Ahmed, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F., Abil, Olifan Zewdie, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Adamu, Abdu A., Adebayo, Oladimeji, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adookunboh, Olatunii, Adhena, Beyene Meressa, Adib, Mina G., Admasie, Aniha, Afshin, Ashkan, Agarwal, Gina, Agesa, Karelia M., Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Melidi, Ahmed, Muktar Beshir, Ahmed, Sayent, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Fddine, Akbari, Mohammad Esmaeil, Akinyeniti, Rufus Olusola, Akseer, Nadia, Al-Aly, Ziyad, Al-Eyadhy, Ayman, Al-Raddadi, Rajaa M., Alandab, Fares, Alam, Khurshid, Alam, Tahiya, Alebel, Animut, Alene, Kefyalew Addis, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, Francois, Allebeck, Peter, Alonso, Jordi, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T., Aminde, Leopold N., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampern, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Aniha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Aremu, Olatunde, Arnlov, Johan, Arora, Amit, Arora, Monika, Artaman, Al, Aryal, Krishna K., Asayesh, Hamid, Asfaw, Ephremi Tsegay, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R., Ausloos, Marcel, Avokpaho, Euripide F. G. A., Awasthi, Ashish, Quintattilla, Beatriz Paulina Ayala, Ayele, Yohanes, Ayer, Rakesh, Azzopardi, Peter S., Babazadeh, Arefeh, Bacha, Umar, Badali, Hamid, Badawi, Alaa, Bali, Ayele Geleto, Ballesteros, Katherine E., Banach, Maciej, Banerjee, Kajori, Bannick, Marlena S., Banoub, Joseph Adel Mattar, Barboza, Miguel A., Barker-Collo, Suzanne Lyu, Barnighausen, Till Winfried, Barquera, Simon, Barrero, Lope, Bassat, Quique, Base, Sanjay, Baune, Bernhard T., Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Beth, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Mcysam, Bejot, Yannick, Bekele, Bayu Begashaw, Belacliew, Abate Bekele, Belay, Ezra, Belay, Yihalem Abebe, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bensenor, Isabela M., Berman, Adam F., Bernabe, Eduardo, Bernstein, Robert S., Bertolacci, Gregory J., Beuran, Mircea, Beyranvand, Tina, Bhalla, Ashish, Bhattarai, Suraj, Bhaumik, Sounayadeeep, Bhutta, Zulfiqar A., Biadgo, Belete, Biehl, Molly H., Bijani, Ali, Bikbov, Boris, Bilano, Ver, Bililign, Nigus, Bin Sayeed, Muhammad Shandaat, Bisanzio, Donal, Biswas, Tuhin, Blacker, Brigitte F., Basara, Berrak Bora, Borschmann, Rohan, Bosetti, Cristina, Bozorgmehr, Kayvan, Brady, Oliver J., Brant, Luisa C., Brayne, Carol, Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Busse, Reinhard, Butt, Zahid A., Callender, Charlton S. K. H., Campos-Nonato, Ismael R., Rincon, Julio Cesar Canapuzano, Cano, Jorge, Car, Mate, Cardenas, Rosario, Carreras, Giulia, Carrero, Juan J., Carter, Austin, Carvalho, Felix, Castaneda-Orjuela, Carlos A., Rivas, Jacqueline Castillo, Castle, Chris D., Castro, Clara, Castro, Franz, Catala-Lopez, Ferran, Cerin, Ester, Chaiah, Yazan, Chang, Jung -Chen, Chanson, Fiona J., Chaturvedi, Pankaj, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chisumpa, Vesper Hichilombwe, Chitheet, Abdulaal, Chowdhury, Rajiv, Christensen, Hanne, Christopher, Devasahayam J., Chiang, Sheng-Chia, Cicuttini, Flavia M., Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Cowie, Benjamin C., Criqui, Michael H., Cromwell, Elizabeth A., Crowe, Christopher Stephen, Crump, John A., Cunningham, Matthew, Daba, Alemneh Kabeta, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I., Daryani, Ahmad, Das, Siddharth K., Das Gupta, Rajat, Das Neves, Jose, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Davis, Adrian C., Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, De La Hoz, Fernando Pio, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T., Deiparine, Selina, Demoz, Gebre Teklemariam, Demtsu, Baleen Betsu, Denova-Gutierrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Jarlais, Don C. Des, Dessie, Getenet Ayalew, Dey, Subhojit, Dhannaratne, Samath D., Dicker, Daniel, Dinberu, Mesfin Tadese, Ding, Eric L., Dirac, M. Ashworth, Djalalinia, Shirin, Dokova, Klara, Ter Doku, David, Donnelly, Christl A., Dorsey, E. Ray, Doshi, Pratik P., Douwes-Schultz, Dirk, Doyle, Kerrie E., Driscoll, Tim R., Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B., Duraes, Andre R., Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edessa, Dumessa, Edvardsson, David, Eggen, Anne Elise, El Bcheraoui, Charbel, Zaki, Maysaa El Sayed, El-Khatib, Ziad, Elkout, Hajer, Eltinsel, Christian Lycke, Endres, Matthias, Endries, Aman Yesuf, Er, Benjamin, Erskine, Holly E., Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Fakhar, Mahdi, Fakhim, Hamed, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Faninha, Carla Sofia E. 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Kassebaum, Nj, Katikireddi, Sv, Karyani, Ak, Kefale, At, Keiyoro, Pn, Kemp, Gr, Kengne, Ap, Kesavachandran, Cn, Khafaie, Ma, Khalil, Ia, Khan, Ea, Khan, Ma, Khang, Yh, Khater, Mm, Khoja, At, Khosravi, Mh, Kiadaliri, Aa, Kibret, Gd, Kidanemariam, Zt, Kiirithio, Dn, Kim, Ye, Kim, Yj, Kimokoti, Rw, Kivimäki, M, Knudsen, Ak, Kocarnik, Jm, Kopec, Ja, Koul, Pa, Kravchenko, Ma, Kumar, Ga, Kutz, Mj, Kyu, Hh, Lad, Dp, Lad, Sd, Lal, Dk, Lam, Jo, Lami, Fh, Lansingh, Vc, Larson, Hj, Lau, Km, Lazarus, Jv, Lee, Ph, Leshargie, Ct, Lim, Ll, Limenih, Ma, Lopez, Ad, Lotufo, Pa, Macarayan, Erk, Mackay, Mt, Maclachlan, Jh, Maddison, Er, Maghavani, Dp, Malta, Dc, Manda, Al, Mandarano-Filho, Lg, Mansournia, Ma, Mapoma, Cc, Maravilla, Jc, Marks, Gb, Martins-Melo, Fr, März, W, Marzan, Mb, Masci, Jr, Massenburg, Bb, Mathur, Mr, Maulik, Pk, Mcgrath, Jj, Mcmahon, Bj, Mehndiratta, Mm, Mehta, Km, Mekonnen, Tc, Memiah, Ptn, Memish, Za, Mengistu, Dt, Mensah, Ga, Mereta, St, Meretoja, Tj, Mezgebe, Hb, Millear, Ai, Miller, Tr, Miller-Petrie, Mk, Mini, Gk, Mirrakhimov, Em, Misganaw, At, Mohammad, Ka, Mohammed, Ma, Mokdad, Ah, Moreno Velásquez, I, Morrison, Sd, Moschos, Mm, Mousavi, Sm, Muchie, Kf, Mueller, Uo, Mumford, Je, Musa, Ki, Nachega, Jb, Nansseu, Jr, Nascimento, Br, Negoi, Ri, Newton, Crj, Ngalesoni, Fn, Ngunjiri, Jw, Nguyen, Aq, Nguyen, Ht, Nguyen, Lh, Nguyen, Th, Ningrum, Dna, Nirayo, Yl, Nixon, Mr, Norheim, Of, Noubiap, Jj, Nouri, Hr, Nourollahpour Shiadeh, M, Nowroozi, Mr, Odell, Cm, Ogbo, Fa, Oh, Ih, Olagunju, At, Olivares, Pr, Olsen, He, Olusanya, Bo, Olusanya, Jo, Ong, Kl, Ong, Sk, Orpana, Hm, Ortiz, Jr, Øverland, S, Owolabi, Mo, Özdemir, R, P A, M, Pakhare, Ap, Pakpour, Ah, Pandian, Jd, Park, Ek, Parry, Cdh, Patton, Gc, Paturi, Vr, Paulson, Kr, Pereira, Dm, Phillips, Mr, Piel, Fb, Pigott, Dm, Pillay, Jd, Postma, Mj, Purcell, Ca, Quistberg, Da, Rade, Kw, Radfar, A, Rafay, A, Rafiei, A, Rahim, F, Rahman, Mhu, Rahman, Ma, Rai, Rk, Ranabhat, Cl, Rao, Pc, Rawaf, Dl, Razo-García, C, Reiner, Rc, Reitsma, Mb, Renzaho, Amn, Riahi, Sm, Ribeiro, Alp, Rios-Blancas, Mj, Roba, Kt, Roberts, Nl, Robinson, Sr, Sahraian, Ma, Saldanha, Rf, Sambala, Ez, Samy, Am, Sanchez-Niño, Md, Santomauro, Df, Santos, Jv, Milicevic, Mm, Sao Jose, Bp, Sarker, Ar, Sarmiento-Suárez, R, Sawant, Ar, Schmidt, Mi, Schneider, Ijc, Schöttker, B, Schutte, Ae, Schwebel, Dc, Scott, Jg, Sepanlou, Sg, Serván-Mori, E, Shackelford, Ka, Shaheen, Aa, Shaikh, Ma, Shrime, Mg, Siddiqi, Tj, Sigfusdottir, Id, Silberberg, Dh, Silva, Da, Silva, Jp, Silva, Ntd, Silveira, Dga, Singh, Ja, Singh, Np, Singh, Pk, Sinha, Dn, Sobaih, Bh, Sorensen, Rjd, Soriano, Jb, Soyiri, In, Sposato, La, Sreeramareddy, Ct, Stanaway, Jd, Starodubov, Vi, Stein, Dj, Stewart, Lg, Stokes, Ma, Subart, Ml, Sufiyan, Mb, Sur, Pj, Sykes, Bl, Sylaja, Pn, Sylte, Do, Szoeke, Cei, Tabarés-Seisdedos, R, Tadakamadla, Sk, Tassew, Sg, Tekalign, Tg, Tekle, Mg, Temsah, Mh, Teshale, My, Tessema, Ga, Thankappan, Kr, Thrift, Ag, Thurston, Gd, To, Qg, Torre, Ae, Tortajada-Girbés, M, Tovani-Palone, Mr, Tran, Bx, Tran, Kb, Troeger, Ce, Truelsen, Tc, Truong, Nt, Tsadik, Ag, Tuzcu, Em, Ukwaja, Kn, Undurraga, Ea, Updike, Rl, Uthman, Oa, Uzun, Sb, Valdez, Pr, Vasankari, Tj, Vladimirov, Sk, Vollset, Se, Wagner, Gr, Wallin, Mt, Walson, Jl, Wang, Yp, Wassie, Mm, Weintraub, Rg, Weldegwergs, Kg, Werkneh, Aa, West, Te, Whiteford, Ha, Wilner, Lb, Wolfe, Cda, Wu, Yc, Wyper, Gma, Yahyazadeh Jabbari, Sh, Yan, Ll, Yasin, Yj, Yentür, Gk, Yimer, Em, Yirsaw, Bd, Yoon, Sj, Younis, Mz, Zaman, Sb, Zeleke, Aj, Zenebe, Zm, Zhang, Al, Zuhlke, Lj, and Murray, Cjl.

Subjects
Adult, Male, Adolescent, national age-sex-specific mortality, UNITED-STATES, Global Health, Socioeconomic Factor, Global Burden of Disease, GBD, causes of death, Young Adult, Age Distribution, Life Expectancy, General & Internal Medicine, Cause of Death, PUBLIC-HEALTH PROBLEM, mortality, 282 causes global burden of disease, Sex Distribution, Child, Aged, Aged, 80 and over, BARRIERS, DEMENTIA, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, TRENDS, PREVENTION, PREVALENCE, ALZHEIMERS-DISEASE, INDIVIDUALS, 3121 General medicine, internal medicine and other clinical medicine, Child, Preschool, REGISTRATION, Female, Human medicine, Human
Abstract

Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.

Published
2018

26. Population and fertility by age and sex for 195 countries and territories, 1950-2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Murray, Christopher J L, Callender, Charlton S K H, Kulikoff, Xie Rachel, Srinivasan, Vinay, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbasi, Nooshin, Abbastabar, Hedayat, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdoli, Nasrin, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Abejie, Ayenew Negesse, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy Maria Xavier, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen M E, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agesa, Kareha M, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Ahmed, Sayem, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Almasi, Ali, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Ammar, Walid, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Arian, Nicholas, Ärnlöv, Johan, Artaman, Al, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Atey, Tesfay Mehari Mehari, Atique, Suleman, Atteraya, 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Subjects
Adult, Male, Population Density, GBD, population, fertility, Adolescent, Medicine (all), Infant, Newborn, Infant, 11 Medical And Health Sciences, Middle Aged, Global Health, Global Burden of Disease, Young Adult, Child, Preschool, General & Internal Medicine, Female, Human medicine, Mortality, Child, Population Growth, Birth Rate, Aged, Human, Maternal Age
Abstract

Background Population estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods. Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10-54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10-14 years and 50-54 years was estimated from data on fertility in women aged 15-19 years and 45-49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-cotnponent method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories. Findings From 1950 to 2017, TFRs decreased by 49.4% (95% uncertainty interval [UI] 46.4-52.0). The TFR decreased from 4.7 livebirths (4.5-4.9) to 2.4 livebirths (2.2-2.5), and the ASFR of mothers aged 10-19 years decreased from 37 livebirths (34-40) to 22 livebirths (19-24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83.8 million people per year since 1985. The global population increased by 197-2% (193.3-200.8) since 1950, from 2.6 billion (2.5-2.6) to 7.6 billion (7.4-7.9) people in 2017; much of this increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate of population growth increased between 1950 and 1964, when it peaked at 2.0%; this rate then remained nearly constant until 1970 and then decreased to 1.1% in 2017. Population growth rates in the southeast Asia, east Asia, and Oceania GBD super-region decreased from 2.5% in 1963 to O7% in 2017, whereas in sub-Saharan Africa, population growth rates were almost at the highest reported levels ever in 2017, when they were at 2.7%. The global average age increased from 26.6 years in 1950 to 32.1 years in 2017, and the proportion of the population that is of working age (age 15-64 years) increased from 59.9% to 65.3%. At the national level, the TFR decreased in all countries and territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1.0 livebirths (95% UI 0. 9-1.2) in Cyprus to a high of 7.1 livebirths (6.8-7.4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age 25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged from 0.08 livebirths (0.07-0.09) in South Korea to 2.4 livebirths (2.2-2.6) in Niger, and the TFR over age 30 years (I F030; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age group and was exposed to current ASFRs) ranged from a low of 0.3 livebirths (0.3-0-4) in Puerto Rico to a high of 3.1 livebirths (3.0-3.2) in Niger. TF030 was higher than TFU25 in 145 countries and territories in 2017.33 countries had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western Europe, whereas population growth rates of more than 2.0% were seen in 33 of 46 countries in sub-Saharan Africa. In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than 50% of the national population was of working age in Mali, Chad, and Niger. Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments) that affect national economies and determine national planning needs. Although TFRs are decreasing, the global population continues to grow as mortality declines, with diverse patterns at the national level and across age groups. To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility, which can be used to inform decision making and to monitor progress. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.

Published
2018

27. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author

Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, Mohsen, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Ataro, Zerihun, Atey, Tesfay Mehari Mehari, Athari, Seyyed Shamsadin, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Attia, Engi F, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Awuah, Baffour, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barquera, Simon, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Berhane, Adugnaw, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhatia, Eesh, Bhatt, Samir, Bhattarai, Suraj, Bhaumik, Soumyadeeep, Bhutta, Zulfiqar A, Biadgo, Belete, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bjørge, Tone, Bleyer, Archie, Basara, Berrak Bora, Bose, Dipan, Bosetti, Cristina, Boufous, Soufiane, Bourne, Rupert, Brady, Oliver J, Bragazzi, Nicola Luigi, Brant, Luisa C, Brazinova, Alexandra, Breitborde, Nicholas J K, Brenner, Hermann, Britton, Gabrielle, Brugha, Traolach, Burke, Kristin E, Busse, Reinhard, Butt, Zahid A, Cahuana-Hurtado, Lucero, Callender, Charlton S K H, Campos-Nonato, Ismael R, Campuzano Rincon, Julio Cesar, Cano, Jorge, Car, Mate, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carter, Austin, Carvalho, Félix, Castañeda-Orjuela, Carlos A, Castillo Rivas, Jacqueline, Castro, Franz, Catalá-López, Ferrán, Çavlin, Alanur, Cerin, Ester, Chaiah, Yazan, Champs, Ana Paula, Chang, Hsing-Yi, Chang, Jung-Chen, Chattopadhyay, Aparajita, Chaturvedi, Pankaj, Chen, Wanqing, Chiang, Peggy Pei-Chia, Chimed-Ochir, Odgerel, Chin, Ken Lee, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal, Choi, Jee-Young J, Christensen, Hanne, Christopher, Devasahayam J, Chung, Sheng-Chia, Cicuttini, Flavia M, Ciobanu, Liliana G, Cirillo, Massimo, Claro, Rafael M, Cohen, Aaron J, Collado-Mateo, Daniel, Constantin, Maria-Magdalena, Conti, Sara, Cooper, Cyrus, Cooper, Leslie Trumbull, Cortesi, Paolo Angelo, Cortinovis, Monica, Cousin, Ewerton, Criqui, Michael H, Cromwell, Elizabeth A, Crowe, Christopher Stephen, Crump, John A, Cucu, Alexandra, Cunningham, Matthew, Daba, Alemneh Kabeta, Dachew, Berihun Assefa, Dadi, Abel Fekadu, Dandona, Lalit, Dandona, Rakhi, Dang, Anh Kim, Dargan, Paul I, Daryani, Ahmad, Das, Siddharth K, Das Gupta, Rajat, das Neves, José, Dasa, Tamirat Tesfaye, Dash, Aditya Prasad, Weaver, Nicole Davis, Davitoiu, Dragos Virgil, Davletov, Kairat, Dayama, Anand, Courten, Barbora de, De la Hoz, Fernando Pio, De leo, Diego, De Neve, Jan-Walter, Degefa, Meaza Girma, Degenhardt, Louisa, Degfie, Tizta T, Deiparine, Selina, Dellavalle, Robert P, Demoz, Gebre Teklemariam, Demtsu, Balem Betsu, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Des Jarlais, Don C, Dessie, Getenet Ayalew, Dey, Subhojit, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Ding, Eric L, Djalalinia, Shirin, Doku, David Teye, Dolan, Kate A, Donnelly, Christl A, Dorsey, E Ray, Douwes-Schultz, Dirk, Doyle, Kerrie E, Drake, Thomas M, Driscoll, Tim Robert, Dubey, Manisha, Dubljanin, Eleonora, Duken, Eyasu Ejeta, Duncan, Bruce B, Duraes, Andre R, Ebrahimi, Hedyeh, Ebrahimpour, Soheil, Edessa, Dumessa, Edvardsson, David, Eggen, Anne Elise, El Bcheraoui, Charbel, El Sayed Zaki, Maysaa, Elfaramawi, Mohammed, El-Khatib, Ziad, Ellingsen, Christian Lycke, Elyazar, Iqbal R F, Enayati, Ahmadali, Endries, Aman Yesuf Yesuf, Er, Benjamin, Ermakov, Sergey Petrovich, Eshrati, Babak, Eskandarieh, Sharareh, Esmaeili, Reza, Esteghamati, Alireza, Esteghamati, Sadaf, Fakhar, Mahdi, Fakhim, Hamed, Farag, Tamer, Faramarzi, Mahbobeh, Fareed, Mohammad, Farhadi, Farzaneh, Farid, Talha A, Farinha, Carla Sofia e Sá, Farioli, Andrea, Faro, Andre, Farvid, Maryam S, Farzadfar, Farshad, Farzaei, Mohammad Hosein, Fazeli, Mir Sohail, Feigin, Valery L, Feigl, Andrea B, Feizy, Fariba, Fentahun, Netsanet, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Fernandes, Joao C, Feyissa, Garumma Tolu, Fijabi, Daniel Obadare, Filip, Irina, Finegold, Samuel, Fischer, Florian, Flor, Luisa Sorio, Foigt, Nataliya A, Ford, John A, Foreman, Kyle J, Fornari, Carla, Frank, Tahvi D, Franklin, Richard Charles, Fukumoto, Takeshi, Fuller, John E, Fullman, Nancy, Fürst, Thomas, Furtado, João M, Futran, Neal D, Galan, Adriana, Gallus, Silvano, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpe, Fortune Gbetoho, Garcia-Basteiro, Alberto L, Garcia-Gordillo, Miguel A, Gebre, Teshome, Gebre, Abadi Kahsu, Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebremedhin, Amanuel Tesfay, Gelano, Tilayie Feto, Gelaw, Yalemzewod Assefa, Geleijnse, Johanna M, Genova-Maleras, Ricard, Gessner, Bradford D, Getachew, Sefonias, Gething, Peter W, Gezae, Kebede Embaye, Ghadami, Mohammad Rasoul, Ghadimi, Reza, Ghasemi Falavarjani, Khalil, Ghasemi-Kasman, Maryam, Ghiasvand, Hesam, Ghimire, Mamata, Ghoshal, Aloke Gopal, Gill, Paramjit Singh, Gill, Tiffany K, Gillum, Richard F, Giussani, Giorgia, Goenka, Shifalika, Goli, Srinivas, Gomez, Ricardo Santiago, Gomez-Cabrera, Mari Carmen, Gómez-Dantés, Hector, Gona, Philimon N, Goodridge, Amador, Gopalani, Sameer Vali, Goto, Atsushi, Goulart, Alessandra C, Goulart, Bárbara Niegia Garcia, Grada, Ayman, Grosso, Giuseppe, Gugnani, Harish Chander, Guimaraes, Andre Luiz Sena, Guo, Yuming, Gupta, Prakash C, Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gyawali, Bishal, Haagsma, Juanita A, Hachinski, Vladimir, Hafezi-Nejad, Nima, Hagos, Tekleberhan B, Hailegiyorgis, Tewodros Tesfa, Hailu, Gessessew Bugssa, Haj-Mirzaian, Arya, Haj-Mirzaian, Arvin, Hamadeh, Randah R, Hamidi, Samer, Handal, Alexis J, Hankey, Graeme J, Harb, Hilda L, Harikrishnan, Sivadasanpillai, Haririan, Hamidreza, Haro, Josep Maria, Hasan, Mehedi, Hassankhani, Hadi, Hassen, Hamid Yimam, Havmoeller, Rasmus, Hay, Roderick J, Hay, Simon I, He, Yihua, Hedayatizadeh-Omran, Akbar, Hegazy, Mohamed I, Heibati, Behzad, Heidari, Mohsen, Hendrie, Delia, Henok, Andualem, Henry, Nathaniel J, Heredia-Pi, Ileana, Herteliu, Claudiu, Heydarpour, Fatemeh, Heydarpour, Pouria, Heydarpour, Sousan, Hibstu, Desalegn Tsegaw, Hoek, Hans W, Hole, Michael K, Homaie Rad, Enayatollah, Hoogar, Praveen, Horino, Masako, Hosgood, H Dean, Hosseini, Seyed Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Sorin, Hostiuc, Mihaela, Hotez, Peter J, Hoy, Damian G, Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J, Husseini, Abdullatif, Hussen, Mohammedaman Mama, Hutfless, Susan, Iburg, Kim Moesgaard, Igumbor, Ehimario U, Ikeda, Chad Thomas, Ilesanmi, Olayinka Stephen, Iqbal, Usman, Irvani, Seyed Sina Naghibi, Isehunwa, Oluwaseyi Oluwakemi, Islam, Sheikh Mohammed Shariful, Islami, Farhad, Jahangiry, Leila, Jahanmehr, Nader, Jain, Rajesh, Jain, Sudhir Kumar, Jakovljevic, Mihajlo, James, Spencer L, Javanbakht, Mehdi, Jayaraman, Sudha, Jayatilleke, Achala Upendra, Jee, Sun Ha, Jeemon, Panniyammakal, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Johnson, Sarah Charlotte, Jonas, Jost B, Joshi, Ankur, Jozwiak, Jacek Jerzy, Jungari, Suresh Banayya, Jürisson, Mikk, K, Madhanraj, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kahssay, Molla, Kalani, Rizwan, Kapil, Umesh, Karami, Manoochehr, Karami Matin, Behzad, Karch, André, Karema, Corine, Karimi, Narges, Karimi, Seyed M, Karimi-Sari, Hamidreza, Kasaeian, Amir, Kassa, Getachew Mullu, Kassa, Tesfaye Dessale, Kassa, Zemenu Yohannes, Kassebaum, Nicholas J, Katibeh, Marzieh, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazemeini, Hossein, Kazemi, Zhila, Karyani, Ali Kazemi, K C, Prakash, Kebede, Seifu, Keiyoro, Peter Njenga, Kemp, Grant Rodgers, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khajavi, Alireza, Khalid, Nauman, Khalil, Ibrahim A, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Muhammad Shahzeb, Khan, Muhammad Ali, Khang, Young-Ho, Khanna, Tripti, Khater, Mona M, Khatony, Alireza, Khazaie, Habibolah, Khoja, Abdullah T, Khosravi, Ardeshir, Khosravi, Mohammad Hossein, Khubchandani, Jagdish, Kiadaliri, Aliasghar A, Kibret, Getiye D Dejenu, Kim, Cho-il, Kim, Daniel, Kim, Jun Y, Kim, Young-Eun, Kimokoti, Ruth W, Kinfu, Yohannes, Kinra, Sanjay, Kisa, Adnan, Kissimova-Skarbek, Katarzyna, Kissoon, Niranjan, Kivimäki, Mika, Kleber, Marcus E, Knibbs, Luke D, Knudsen, Ann Kristin Skrindo, Kochhar, Sonali, Kokubo, Yoshihiro, Kolola, Tufa, Kopec, Jacek A, Kosek, Margaret N, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krishnaswami, Sanjay, Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kudom, Andreas A, Kuipers, Ernst J, Kulikoff, Xie Rachel, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael J, Lad, Sheetal D, Lafranconi, Alessandra, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lam, Hilton, Lami, Faris Hasan, Lan, Qing, Langan, Sinéad M, Lansingh, Van C, Lansky, Sonia, Larson, Heidi Jane, Laryea, Dennis Odai, Lassi, Zohra S, Latifi, Arman, Lavados, Pablo M, Laxmaiah, Avula, Lazarus, Jeffrey V, Lebedev, Georgy, Lee, Paul H, Leigh, James, Leshargie, Cheru Tesema, Leta, Samson, Levi, Miriam, Li, Shanshan, Li, Yichong, Li, Xiaohong, Liang, Juan, Liang, Xiaofeng, Liben, Misgan Legesse, Lim, Lee-Ling, Lim, Stephen S, Limenih, Miteku Andualem, Linn, Shai, Liu, Shiwei, Liu, Yang, Lodha, Rakesh, Logroscino, Giancarlo, Lonsdale, Chris, Lorch, Scott A, Lorkowski, Stefan, Lotufo, Paulo A, Lozano, Rafael, Lucas, Tim C D, Lunevicius, Raimundas, Lyons, Ronan A, Ma, Stefan, Mabika, Crispin, Macarayan, Erlyn Rachelle King, Mackay, Mark T, Maddison, Emilie R, Maddison, Ralph, Madotto, Fabiana, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Maghavani, Dhaval P, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malik, Manzoor Ahmad, Malta, Deborah Carvalho, Mamun, Abdullah A, Manamo, Wondimu Ayele, Manda, Ana-Laura, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Mapoma, Chabila Christopher, Marami, Dadi, Maravilla, Joemer C, Marcenes, Wagner, Marina, Shakhnazarova, Martinez-Raga, Jose, Martins, Sheila C O, Martins-Melo, Francisco Rogerlândio, März, Winfried, Marzan, Melvin B, Mashamba-Thompson, Tivani Phosa, Masiye, Felix, Massenburg, Benjamin Ballard, Maulik, Pallab K, Mazidi, Mohsen, McGrath, John J, McKee, Martin, Mehata, Suresh, Mehendale, Sanjay Madhav, Mehndiratta, Man Mohan, Mehrotra, Ravi, Mehta, Kala M, Mehta, Varshil, Mekonen, Tesfa, Mekonnen, Tefera Chane, Meles, Hagazi Gebre, Meles, Kidanu Gebremariam, Melese, Addisu, Melku, Mulugeta, Memiah, Peter T N, Memish, Ziad A, Mendoza, Walter, Mengistu, Desalegn Tadese, Mengistu, Getnet, Mensah, George A, Mereta, Seid Tiku, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Mezgebe, Haftay Berhane, Miangotar, Yode, Miazgowski, Bartosz, Miazgowski, Tomasz, Miller, Ted R, Mini, G K, Mirica, Andreea, Mirrakhimov, Erkin M, Misganaw, Awoke Temesgen, Moazen, Babak, Moges, Nurilign Abebe, Mohammad, Karzan Abdulmuhsin, Mohammadi, Moslem, Mohammadifard, Noushin, Mohammadi-Khanaposhtani, Maryam, Mohammadnia-Afrouzi, Mousa, Mohammed, Shafiu, Mohammed, Mohammed A, Mohan, Viswanathan, Mokdad, Ali H, Molokhia, Mariam, Monasta, Lorenzo, Moradi, Ghobad, Moradi, Mahmoudreza, Moradi-Lakeh, Maziar, Moradinazar, Mehdi, Moraga, Paula, Morawska, Lidia, Moreno Velásquez, Ilais, Morgado-da-Costa, Joana, Morrison, Shane Douglas, Mosapour, Abbas, Moschos, Marilita M, Mousavi, Seyyed Meysam, Muche, Achenef Asmamaw, Muchie, Kindie Fentahun, Mueller, Ulrich Otto, Mukhopadhyay, Satinath, Mullany, Erin C, Muller, Kate, Murhekar, Manoj, Murphy, Tasha B, Murthy, G V S, Murthy, Srinivas, Musa, Jonah, Musa, Kamarul Imran, Mustafa, Ghulam, Muthupandian, Saravanan, Nachega, Jean B, Nagel, Gabriele, Naghavi, Mohsen, Naheed, Aliya, Nahvijou, Azin, Naik, Gurudatta, Nair, Sanjeev, Najafi, Farid, Nangia, Vinay, Nansseu, Jobert Richie, Nascimento, Bruno Ramos, Nawaz, Haseeb, Ncama, Busisiwe P, Neamati, Nahid, Negoi, Ionut, Negoi, Ruxandra Irina, Neupane, Subas, Newton, Charles Richard James, Ngalesoni, Frida N, Ngunjiri, Josephine W, Nguyen, Ha Thu, Nguyen, Huong Thanh, Nguyen, Long Hoang, Nguyen, Michele, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nisar, Muhammad Imran, Nixon, Molly R, Nolutshungu, Nomonde, Nomura, Shuhei, Norheim, Ole F, Noroozi, Mehdi, Norrving, Bo, Noubiap, Jean Jacques, Nouri, Hamid Reza, Nourollahpour Shiadeh, Malihe, Nowroozi, Mohammad Reza, Nsoesie, Elaine O, Nyasulu, Peter S, Ofori-Asenso, Richard, Ogah, Okechukwu Samuel, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew T, Olagunju, Tinuke O, Olivares, Pedro R, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Ong, Sok King, Opio, John Nelson, Oren, Eyal, Ortiz, Justin R, Ortiz, Alberto, Ota, Erika, Otstavnov, Stanislav S, Øverland, Simon, Owolabi, Mayowa Ojo, Oyekale, Abayomi Samuel, P A, Mahesh, Pacella, Rosana, Pakhale, Smita, Pakhare, Abhijit P, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Pandey, Achyut Raj, Pandian, Jeyaraj Durai, Parisi, Andrea, Park, Eun-Kee, Parry, Charles D H, Parsian, Hadi, Patel, Shanti, Patle, Ajay, Patten, Scott B, Patton, George C, Paudel, Deepak, Pearce, Neil, Peprah, Emmanuel K, Pereira, Alexandre, Pereira, David M, Perez, Krystle M, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Petri, William A, Petzold, Max, Phillips, Michael R, Pigott, David M, Pillay, Julian David, Pirsaheb, Meghdad, Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Pond, Constance Dimity, Popova, Svetlana, Postma, Maarten J, Pourmalek, Farshad, Pourshams, Akram, Poustchi, Hossein, Prabhakaran, Dorairaj, Prakash, V, Prakash, Swayam, Prasad, Narayan, Qorbani, Mostafa, Quistberg, D Alex, Radfar, Amir, Rafay, Anwar, Rafiei, Alireza, Rahim, Fakher, Rahimi, Kazem, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Muhammad Aziz, Rahman, Sajjad ur, Rai, Rajesh Kumar, Rajati, Fatemeh, Rajsic, Sasa, Raju, Sree Bhushan, Ram, Usha, Ranabhat, Chhabi Lal, Ranjan, Prabhat, Ranta, Anna, Rasella, Davide, Rawaf, David Laith, Rawaf, Salman, Ray, Sarah E, Razo-García, Christian, Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C, Reinig, Nickolas, Reis, Cesar, Remuzzi, Giuseppe, Renzaho, Andre M N, Resnikoff, Serge, Rezaei, Satar, Rezaeian, Shahab, Rezai, Mohammad Sadegh, Riahi, Seyed Mohammad, Ribeiro, Antonio Luiz P, Riojas, Horacio, Rios-Blancas, Maria Jesus, Roba, Kedir Teji, Robinson, Stephen R, Roever, Leonardo, Ronfani, Luca, Roshandel, Gholamreza, Roshchin, Denis O, Rostami, Ali, Rothenbacher, Dietrich, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S, Saddik, Basema, Sadeghi, Ehsan, Moghaddam, Sahar Saeedi, Safari, Hosein, Safari, Yahya, Safari-Faramani, Roya, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Sajadi, Haniye Sadat, Salahshoor, Mohammad Reza, Salam, Nasir, Salama, Joseph S, Salamati, Payman, Saldanha, Raphael de Freitas, Salimi, Yahya, Salimzadeh, Hamideh, Salz, Inbal, Sambala, Evanson Zondani, Samy, Abdallah M, Sanabria, Juan, Sanchez-Niño, Maria Dolores, Santos, Itamar S, Santos, João Vasco, Santric Milicevic, Milena M, Sao Jose, Bruno Piassi, Sardana, Mayank, Sarker, Abdur Razzaque, Sarrafzadegan, 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Subjects
Child mortality, Alnæmi, Dánartíðni, Heilsufar, GBD, Börn, Dauði, Almennar lyflækningar, Fullorðnir, General & Internal Medicine, parasitic diseases, Psychology, age-specific mortality, Estimating adult mortality, Medicine (all), HIV, 11 Medical And Health Sciences, General Medicine, All-cause mortality, humanities, Countries, Death, mortality, national, Sálfræði, Health, GBD, mortality, Human medicine, Trends
Abstract

The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data., Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing., Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163).

Published
2018
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29. Using electronic medical records to identify patients at risk for underlying cardiac amyloidosis.

Author

Pascoe MA, Kolodziej A, Birks EJ, and Vaidya G

Subjects
Humans, Male, Female, Aged, Middle Aged, Cardiomyopathies diagnosis, Cardiomyopathies etiology, Aged, 80 and over, Risk Assessment methods, Heart Failure, Diastolic diagnosis, Heart Failure, Diastolic diagnostic imaging, Heart Failure, Diastolic etiology, Natriuretic Peptide, Brain blood, Carpal Tunnel Syndrome diagnosis, Carpal Tunnel Syndrome etiology, Bundle-Branch Block, Risk Factors, Peptide Fragments, Electronic Health Records, Amyloid Neuropathies, Familial complications, Amyloid Neuropathies, Familial diagnosis, Echocardiography
Abstract

Background: Identification of transthyretin cardiac amyloidosis (ATTR-CA) patients is largely based on pattern recognition by providers, and this can be automated through electronic medical systems (EMR)., Methods: All patients in a large academic hospital with age > 60, ICD-10 code for chronic diastolic heart failure and no previous diagnosis of any amyloidosis were included. An Epic EMR scoring logic assigned risk scores to patients for ICD-10 and CPT codes associated with ATTR-CA, as follows: carpal tunnel syndrome (score 5), aortic stenosis/TAVR (5), neuropathy (4), bundle branch block (4), etc. The individual patients' scores were added, and patients were arranged in descending order of total scores- ranging from 50 to 0. Data is reported as median (interquartile range) and analyzed with non-parametric tests., Results: Of the total 11,648 patients identified, 132 consecutive patients with highest risk scores (score ≥ 30) were enrolled as cases, while 132 patients with scores between 10 and 19 with available echocardiography data served as age-matched controls. Strain echocardiography is not routinely performed. Patients with high scores were more likely to have CA associated findings- African-American race, higher left ventricular (LV) mass index and left atrial volume and lower LV ejection fraction. High score patients had higher troponin and a trend towards high NT-proBNP., Conclusion: The modern EMR can be used to flag patients with high risk for ATTR-CA (score ≥ 30 using the proposed logic) through best practice advisory. This could encourage screening during echocardiography using strain or during unsuspected clinic visits., Competing Interests: Declaration of competing interest There are no conflicts of interest to disclose., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Published
2025
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30. Fournier's Gangrene Severity Index and Charlson Comorbidity Index Predict Mortality, Intensive Care Unit Admission, and Length of Hospital Stay in Patients With Fournier's Gangrene: An Analysis of 264 Consecutive Patients.

Author

Hauser N, Huang C, Vaidya G, Chrusciel T, Narayana Kumarasan K, Culhane J, and Siddiqui S

Abstract

Introduction Fournier's gangrene (FG) is a rapidly progressing necrotizing fasciitis. The Fournier's Gangrene Severity Index (FGSI), in conjunction with the Charlson Comorbidity Index (CCI), has been used as a mortality predictor during hospitalization. Patients with diabetes have also been shown to be at an increased risk for the development of FG. This study explores the potential of using FGSI, CCI, and patient diabetes status in predicting more extensive patient outcomes, including intensive care unit (ICU) admission and length of hospital stay. Methods From 2013 to 2023, inpatient admissions with the diagnosis of FG were selected from the EPIC Clarity database of the Sisters of St. Mary hospital system. Patient demographics, ICU admission, length of hospital stay, medical comorbidities, and calculated FGSI and CCI scores were extracted from selected admissions. Logistic regression and generalized linear regression models were performed for regression analysis. Results A total of 264 patients who met our inclusion criteria were admitted for FG from 2013 to 2023. The patient population was all male with a mean age of 54.7 years. Of the cohort, 127 patients (48.1%) required ICU care, and 44 patients (16.7%) died during admission. Of the 164 patients (62.1%) diagnosed with diabetes, 13 were taking sodium-glucose cotransporter 2 (SGLT-2) inhibitors prior to admission, and 121 were insulin-dependent. No relationship could be found between the use of SGLT-2 inhibitors or insulin and patient outcome. For every one-unit increase in FGSI score, the odds of mortality increased by 1.14 times, the odds of being admitted to the ICU increased by 1.3 times, and the length of hospital stay increased by 1.1 days (p<0.0001). For every one-unit increase in CCI score, the odds of mortality increase by 1.2 times (p=0.003), and the length of hospital stay increased by 0.9 days (p=0.04). Conclusions Insulin-dependent diabetes and the use of SGLT-2 inhibitors are not risk factors for more severe FG. FGSI and CCI scores may be used to predict patient outcomes beyond mortality, including ICU admission and length of hospital stay., Competing Interests: Human subjects: Consent for treatment and open access publication was obtained or waived by all participants in this study. Christine Jacobs issued approval 32161. Department Chair Approval. By signing below, assure that the Principal investigator of this protocol has the requisite funding, credentials, training, and any necessary hospital privileges (if needed) to complete the research. also assure that there are sufficient resources to complete the research and that the proper oversights are in place to carry out the protocol. -Christine Jacobs (Dean, School of Medicine). Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Hauser et al.)

Published
2024
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32. Sex differences in heart transplantation - analysis of the national inpatient sample 2012-2019.

Author

Dewaswala N, Bhopalwala H, Minhas AMK, Amanullah K, Abramov D, Arshad S, Dani S, Vaidya G, Banerjee D, Birks E, and Michos E

Subjects
Adult, Aged, Female, Humans, Male, Middle Aged, Heart Failure epidemiology, Hospitalization statistics & numerical data, Inpatients statistics & numerical data, Retrospective Studies, Risk Factors, Sex Factors, United States epidemiology, Heart Transplantation statistics & numerical data, Hospital Mortality trends
Abstract

Introduction: Advanced heart failure therapies and heart transplantation (HT) have been underutilized in women. Therefore, we aimed to explore the clinical characteristics and outcomes of HT by sex., Methods: We conducted a retrospective analysis of adult discharges from the National Inpatient Sample (NIS) between 2012 and 2019. International Classification of Disease (ICD) procedure codes were used to identify those who underwent HT., Results: A total of 20,180 HT hospitalizations were identified from 2012-2019. Among them, 28 % were female. Women undergoing HT were younger (mean age 51 vs. 54.5 years, p<0.001). HT hospitalizations among men were more likely to have atrial fibrillation, diabetes, hypertension, renal failure, dyslipidemia, smoking, and ischemic heart disease. HT hospitalizations among women were more likely to have hypothyroidism and valvular heart disease. HT hospitalizations in women were associated with no significant difference in risk of in-hospital mortality (adjusted odds ratio [OR] 0.82; 95 % confidence interval [CI] 0.58-1.16, p=0.271), no significant difference in length of stay or inflation-adjusted cost. Men were more likely to develop acute kidney injury during HT hospitalization (69.2 % vs. 59.7 %, adjusted OR 0.71, 95 % CI 0.61-0.83, p<0.001)., Conclusions: HT utilization is lower in women. However, most major in-hospital outcomes for HT are similar between the sexes. Further studies are need to explore the causes of lower rates of HT in women., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Inc.)

Published
2024
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33. Injecting hope: chitosan hydrogels as bone regeneration innovators.

Author

Vaidya G, Pramanik S, Kadi A, Rayshan AR, Abualsoud BM, Ansari MJ, Masood R, and Michaelson J

Subjects
Humans, Hydrogels chemistry, Biocompatible Materials pharmacology, Biocompatible Materials chemistry, Tissue Scaffolds chemistry, Tissue Engineering methods, Bone Regeneration, Chitosan chemistry
Abstract

Spontaneous bone regeneration encounters substantial restrictions in cases of bone defects, demanding external intervention to improve the repair and regeneration procedure. The field of bone tissue engineering (BTE), which embraces a range of disciplines, offers compelling replacements for conventional strategies like autografts, allografts, and xenografts. Among the diverse scaffolding materials utilized in BTE applications, hydrogels have demonstrated great promise as templates for the regeneration of bone owing to their resemblance to the innate extracellular matrix. In spite of the advancement of several biomaterials, chitosan (CS), a natural biopolymer, has garnered significant attention in recent years as a beneficial graft material for producing injectable hydrogels. Injectable hydrogels based on CS formulations provide numerous advantages, including their capacity to absorb and preserve a significant amount of water, their minimally invasive character, the existence of porous structures, and their capability to adapt accurately to irregular defects. Moreover, combining CS with other naturally derived or synthetic polymers and bioactive materials has displayed its effectiveness as a feasible substitute for traditional grafts. We aim to spotlight the composition, production, and physicochemical characteristics and practical utilization of CS-based injectable hydrogels, explicitly focusing on their potential implementations in bone regeneration. We consider this review a fundamental resource and a source of inspiration for future research attempts to pioneer the next era of tissue-engineering scaffold materials.

Published
2024
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34. Biosynthesis of Iron Oxide Nanoparticles Using Leaf Extract of Ruellia tuberosa: Mechanical and Dynamic Mechanical Behaviour Kevlar-Based Hybrid Epoxy Composites.

Author

Natrayan L, Rao YS, Vaidya G, Bhattacharya S, Kaliappan S, Patil PP, and Paramasivam P

Abstract

One of the more enticing, ecologically responsible, as well as safe and sustainable methodologies is eco-friendly nanomaterial synthesis. Vegetation materials will be used as reductants instead of toxic substances for synthesising nanoparticles. The current study used Ruellia tuberosa (RT) leaf extract digest to synthesise FeO nanomaterials, which were then characterised using XRD. Following that, microbially produced FeO molecules were mixed with a Kevlar-based polymeric matrix to study the blended consequences. To examine the interbreeding, the current experimental analyses were performed, including both static and dynamic mechanical characteristics. The addition of FeO nanofillers improved the elastic modulus, tensile strength, and storage modulus of the nanocomposite. Impact force uptake has been raised to a certain extent by the addition of nanoparticles. The findings of this research show that incorporating FeO nanofillers into Kevlar fabrics is a promising technique for increasing the mechanical characteristics of hybrid laminated composites. As per DMA evaluation, the sample without nanomaterials had a more volcanic lava response, which is a useful thing for body systems for missile use. Another critical aspect of a nanoparticles-filled nanocomposite that must be addressed is the relatively uniform scattering of padding as well as the development of interfacial adhesion in such a combination. The presence of FeO fillers in polymeric composites is confirmed by XRD analysis., Competing Interests: The authors declare that there are no conflicts of interest regarding the publication of this paper., (Copyright © 2023 L. Natrayan et al.)

Published
2023
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35. Discovery of fluorinated 2‑Styryl 4(3H)-quinazolinone as potential therapeutic hit for oral cancer.

Author

Parshuram Satpute D, Shirwadkar U, Kumar Tharalla A, Dattatray Shinde S, Nikhil Vaidya G, Joshi S, Patel Vatsa P, Jain A, Singh AA, Garg R, Mandoli A, and Kumar D

Subjects
Humans, Apoptosis, Cell Line, Tumor, Cell Proliferation, Signal Transduction, Carcinoma, Squamous Cell, Mouth Neoplasms drug therapy, Mouth Neoplasms pathology
Abstract

Oral squamous cell carcinoma (OSCC) is the most common malignant epithelial neoplasm, affects the mouth and throat, and accounts for 90 % of oral cancers. Considering the associated morbidity with neck dissections and the limitation of existing therapeutic agents, the discovery and development of new anticancer drugs/drug candidates for oral cancer treatment are of the utmost need. In this context, reported here is the identification of fluorinated 2‑styryl 4(3H)-quinazolinone as a promising hit for oral cancer. Preliminary studies indicate that the compound blocks the transition of G1 to S phase, thereby leading to arrest in the G1/S phase. Subsequent RNA-seq analysis revealed that the compound induces the activation of molecular pathways involved in apoptosis (such as TNF signalling through NF-κB, p53 pathways) and cell differentiation and suppresses the pathways of cellular growth and development (such as KRAS signaling) in CAL-27 cancer cells. It is noted that identified hit complies with a favorable range of ADME properties as per the computational analysis., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Published
2023
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36. Overall Survival Prediction of Docetaxel-based Second-line Treatment for Advanced Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis.

Author

Nagaraju C, Vaidya G, Jain AS, Nair AP, Chandrappa S, Srinivasa C, Suresh KP, Patil SS, Shivananda B, Kollur SP, and Shivamallu C

Abstract

Objectives: Non-small cell lung cancer (NSCLC) accounts for 75-85% of all lung cancer diagnoses. This meta-analysis sought to estimate the overall survival (OS) of NSCLC based on randomized control trials which had compared docetaxel with kinase inhibitors, antineoplastic agents, and monoclonal antibodies as second-line chemotherapy for advanced NSCLC., Methods: We selected 18 randomized control trials which used docetaxel as the standard treatment arm, while kinase inhibitors, antineoplastic agents, and monoclonal antibodies constituted the experimental arm. The methodological quality of the trial was classified according to the Modified Jadad score. Several steps were taken to reduce publication bias. A forest plot was used to graphically summarize the meta-analysis., Results: The Hedge's g value of antineoplastic agents was 0.11 (95% CI: -0.03-0.26), while for kinase inhibitors was 0.04 (95% CI: -0.10-0.17) and monoclonal antibodies was 0.05 (95% CI: -0.02-0.13). Forest plot showed a clear though only slightly higher overall survival using docetaxel compared to those of the antineoplastic agents, kinase inhibitors, and monoclonal antibodies, due to the existence of moderate heterogeneity and lower impact., Conclusions: Overall, the patients in these studies who were in the standard (docetaxel) treatment arm had slightly better OS than those in the intervention treatment arm. As per the results, docetaxel was more effective in the second-line treatment of advanced NSCLC than antineoplastic agents, monoclonal antibodies, and kinase inhibitors. We infer that docetaxel-based second-line therapy for patients with advanced NSCLC is supported by our meta-analysis., (The OMJ is Published Bimonthly and Copyrighted 2022 by the OMSB.)

Published
2022
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37. Outcomes of Heart Failure in COVID-19 Patients: An Appalachian Experience.

Author

Bhopalwala H, Akbar A, Dewaswala N, Wisnieski L, Minhas AMK, Hussain A, Mishra V, Dani SS, Kolodziej A, Vaidya G, Kulkarni A, Piercy J, Ganti S, Moka N, and Bhopalwala A

Abstract

Background: The Southeastern rural areas of the USA have a higher prevalence of heart failure (HF). Coronavirus disease 2019 (COVID-19) infection is associated with poor outcomes in patients with HF. Our study aimed to compare the outcomes of hospitalized HF patients with and without COVID-19 infection specifically in rural parts of the USA., Methods: We conducted a retrospective cohort study of HF patients with and without COVID-19 hospitalized in Southeastern rural parts of the USA by using the Appalachian Regional Healthcare System. Analyses were stratified by waves from April 1, 2020 to May 31, 2021, and from June 1, 2021 to October 19, 2021., Results: Of the 14,379 patients hospitalized with HF, 6% had concomitant COVID-19 infection. We found that HF patients with COVID-19 had higher mortality rate compared to those without COVID-19 (21.8% versus 3.8%, respectively, P < 0.01). Additionally, hospital resource utilization was significantly higher in HF patients with COVID-19 compared to HF patients without COVID-19 with intensive care unit (ICU) utilization of 21.6% versus 13.8%, P < 0.01, mechanical ventilation use of 17.3% versus 6.2%, P < 0.01, and vasopressor/inotrope use of 16.8% versus 7.9%, P < 0.01. A lower percentage of those with COVID-19 were discharged home compared to those without a COVID-19 diagnosis (63.4% versus 72.0%, respectively). There was a six-fold greater odds of dying in the first wave and seven-fold greater odds of dying in the second wave., Conclusions: Our study confirms previous findings of poor outcome in HF patients with COVID-19. There is a need for review of healthcare resources in rural hospitals which already face numerous healthcare challenges., Competing Interests: The authors declare that they have no conflict of interest., (Copyright 2022, Bhopalwala et al.)

Published
2022
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38. Design of a cryptographically secure pseudo random number generator with grammatical evolution.

Author

Ryan C, Kshirsagar M, Vaidya G, Cunningham A, and Sivaraman R

Subjects
Monte Carlo Method
Abstract

This work investigates the potential for using Grammatical Evolution (GE) to generate an initial seed for the construction of a pseudo-random number generator (PRNG) and cryptographically secure (CS) PRNG. We demonstrate the suitability of GE as an entropy source and show that the initial seeds exhibit an average entropy value of 7.940560934 for 8-bit entropy, which is close to the ideal value of 8. We then construct two random number generators, GE-PRNG and GE-CSPRNG, both of which employ these initial seeds. We use Monte Carlo simulations to establish the efficacy of the GE-PRNG using an experimental setup designed to estimate the value for pi, in which 100,000,000 random numbers were generated by our system. This returned the value of pi of 3.146564000, which is precise up to six decimal digits for the actual value of pi. We propose a new approach called control&#95;flow&#95;incrementor to generate cryptographically secure random numbers. The random numbers generated with CSPRNG meet the prescribed National Institute of Standards and Technology SP800-22 and the Diehard statistical test requirements. We also present a computational performance analysis of GE-CSPRNG demonstrating its potential to be used in industrial applications., (© 2022. The Author(s).)

Published
2022
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39. Bacterial cellulose as a potential biopolymer in biomedical applications: a state-of-the-art review.

Author

Shrivastav P, Pramanik S, Vaidya G, Abdelgawad MA, Ghoneim MM, Singh A, Abualsoud BM, Amaral LS, and Abourehab MAS

Subjects
Bacteria chemistry, Tissue Engineering, Wound Healing, Biocompatible Materials chemistry, Cellulose chemistry
Abstract

Throughout history, natural biomaterials have benefited society. Nevertheless, in recent years, tailoring natural materials for diverse biomedical applications accompanied with sustainability has become the focus. With the progress in the field of materials science, novel approaches for the production, processing, and functionalization of biomaterials to obtain specific architectures have become achievable. This review highlights an immensely adaptable natural biomaterial, bacterial cellulose (BC). BC is an emerging sustainable biopolymer with immense potential in the biomedical field due to its unique physical properties such as flexibility, high porosity, good water holding capacity, and small size; chemical properties such as high crystallinity, foldability, high purity, high polymerization degree, and easy modification; and biological characteristics such as biodegradability, biocompatibility, excellent biological affinity, and non-biotoxicity. The structure of BC consists of glucose monomer units polymerized via cellulose synthase in β-1-4 glucan chains, creating BC nano fibrillar bundles with a uniaxial orientation. BC-based composites have been extensively investigated for diverse biomedical applications due to their similarity to the extracellular matrix structure. The recent progress in nanotechnology allows the further modification of BC, producing novel BC-based biomaterials for various applications. In this review, we strengthen the existing knowledge on the production of BC and BC composites and their unique properties, and highlight the most recent advances, focusing mainly on the delivery of active pharmaceutical compounds, tissue engineering, and wound healing. Further, we endeavor to present the challenges and prospects for BC-associated composites for their application in the biomedical field.

Published
2022
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41. A new phylogenetic data standard for computable clade definitions: the Phyloreference Exchange Format (Phyx).

Author

Vaidya G, Cellinese N, and Lapp H

Subjects
Phylogeny, Biology, Records, Software, Semantics
Abstract

To be computationally reproducible and efficient, integration of disparate data depends on shared entities whose matching meaning (semantics) can be computationally assessed. For biodiversity data one of the most prevalent shared entities for linking data records is the associated taxon concept. Unlike Linnaean taxon names, the traditional way in which taxon concepts are provided, phylogenetic definitions are native to phylogenetic trees and offer well-defined semantics that can be transformed into formal, computationally evaluable logic expressions. These attributes make them highly suitable for phylogeny-driven comparative biology by allowing computationally verifiable and reproducible integration of taxon-linked data against Tree of Life-scale phylogenies. To achieve this, the first step is transforming phylogenetic definitions from the natural language text in which they are published to a structured interoperable data format that maintains strong ties to semantics and lends itself well to sharing, reuse, and long-term archival. To this end, we developed the Phyloreference Exchange Format (Phyx), a JSON-LD-based text format encompassing rich metadata for all elements of a phylogenetic definition, and we created a supporting software library, phyx.js, to streamline computational management of such files. Together they form a foundation layer for digitizing and computing with phylogenetic definitions of clades., Competing Interests: Hilmar Lapp is an Academic Editor for PeerJ., (©2022 Vaidya et al.)

Published
2022
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43. COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database.

Author

Korn D, Bobrowski T, Li M, Kebede Y, Wang P, Owen P, Vaidya G, Muratov E, Chirkova R, Bizon C, and Tropsha A

Subjects
Databases, Factual, Humans, Knowledge Bases, Pandemics, SARS-CoV-2, COVID-19
Abstract

Summary: In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating the existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent biomedical literature on COVID-19 annotated in the CORD-19 collection. COVID-KOP can be used effectively to generate new hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19 by establishing respective confirmatory pathways of drug action., Availability and Implementation: COVID-KOP is freely accessible at https://covidkop.renci.org/. For code and instructions for the original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2021
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44. Successful Treatment of Severe COVID-19 Pneumonia With Clazakizumab in a Heart Transplant Recipient: A Case Report.

Author

Vaidya G, Czer LSC, Kobashigawa J, Kittleson M, Patel J, Chang D, Kransdorf E, Shikhare A, Tran H, Vo A, Ammerman N, Huang E, Zabner R, and Jordan S

Subjects
Antibodies, Monoclonal therapeutic use, Betacoronavirus, COVID-19, Humans, Male, Middle Aged, Pandemics, Receptors, Interleukin-6 antagonists & inhibitors, SARS-CoV-2, COVID-19 Drug Treatment, Antibodies, Monoclonal, Humanized therapeutic use, Coronavirus Infections drug therapy, Coronavirus Infections immunology, Immunocompromised Host, Pneumonia, Viral drug therapy, Pneumonia, Viral immunology
Abstract

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is characterized by an overwhelming cytokine response. Various treatment strategies have been attempted., Methods and Results: A 61-year-old man with heart transplantation in 2017 presented with fever, cough, and dyspnea, and was confirmed positive for coronavirus disease 2019 (COVID-19). Laboratory tests showed significant elevations in C-reactive protein and interleukin-6 (IL-6). Echocardiogram showed left ventricular ejection fraction 58% (with ejection fraction 57% 6 months prior). Given the lack of clear management guidelines, the patient was initially managed symptomatically. However, the patient subsequently had a rapid respiratory deterioration with worsening inflammatory markers on day 5 of admission. Tocilizumab (anti-IL-6R) was in low supply in the hospital. The patient was offered clazakizumab (anti-IL-6) for compassionate use. Patient received 25 mg intravenously × 1 dose. Within 24 hours, he showed significant improvement in symptoms, oxygen requirements, radiological findings, and inflammatory markers. There was a transient leukopenia that improved in 4 days. He was discharged home on day 11, with negative nasopharyngeal SARS-CoV-2 PCR as an outpatient on day 35, development of positive serum COVID-19 IgG antibody, and he continued to do well on day 60, with no heart-related symptoms., Conclusion: Clazakizumab is a monoclonal antibody against human IL-6, which may be helpful in inhibiting the cytokine response to SARS-CoV-2 in COVID-19. Although not yet FDA approved, it is being investigated for treatment of renal antibody-mediated rejection. Clinical trials of clazakizumab for treatment of COVID-19 are underway worldwide., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Published
2020
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45. COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database.

Author

Korn D, Bobrowski T, Li M, Kebede Y, Wang P, Owen P, Vaidya G, Muratov E, Chirkova R, Bizon C, and Tropsha A

Abstract

In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating the existing ROBOKOP biomedical knowledge graph with information from recent biomedical literature on COVID-19 annotated in the CORD-19 collection. COVID-KOP can be used effectively to test new hypotheses concerning repurposing of known drugs and clinical drug candidates against COVID-19. COVID-KOP is freely accessible at https://covidkop.renci.org/. For code and instructions for the original ROBOKOP, see: https://github.com/NCATS-Gamma/robokop., Competing Interests: No conflicts of interest.

Published
2020
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46. Pitch-rotational manipulation of single cells and particles using single-beam thermo-optical tweezers.

Author

Kumar S, Gunaseelan M, Vaippully R, Kumar A, Ajith M, Vaidya G, Dutta S, and Roy B

Abstract

3D pitch rotation of microparticles and cells assumes importance in a wide variety of applications in biology, physics, chemistry and medicine. Applications such as cell imaging and injection benefit from pitch-rotational manipulation. Generation of such motion in single beam optical tweezers has remained elusive due to the complexities of generating high enough ellipticity perpendicular to the direction of propagation. Further, trapping a perfectly spherical object at two locations and subsequent pitch rotation hasn't yet been demonstrated to be possible. Here, we use hexagonal-shaped upconverting particles and single cells trapped close to a gold-coated glass cover slip in a sample chamber to generate complete 360 degree and continuous pitch motion even with a single optical tweezer beam. The tweezers beam passing through the gold surface is partially absorbed and generates a hot-spot to produce circulatory convective flows in the vicinity which rotates the objects. The rotation rate can be controlled by the intensity of the laser light. Thus such a simple configuration can turn the particle in the pitch sense. The circulatory flows in this technique have a diameter of about 5 μ m which is smaller than those reported using acousto-fluidic techniques., Competing Interests: The authors declare no conflicts of interest., (© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.)

Published
2020
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47. Temperature and Size Effect on the Electrical Properties of Monolayer Graphene based Interconnects for Next Generation MQCA based Nanoelectronics.

Author

Debroy S, Sivasubramani S, Vaidya G, Acharyya SG, and Acharyya A

Abstract

Graphene interconnects have been projected to out-perform Copper interconnects in the next generation Magnetic Quantum-dot Cellular Automata (MQCA) based nano-electronic applications. In this paper a simple two-step lithography process for patterning CVD monolayer graphene on SiO 2 /Si substrate has been used that resulted in the current density of one order higher magnitude as compared to the state-of-the-art graphene-based interconnects. Electrical performances of the fabricated graphene interconnects were evaluated, and the impact of temperature and size on the current density and reliability was investigated. The maximum current density of 1.18 ×10 8 A/cm 2 was observed for 0.3 μm graphene interconnect on SiO 2 /Si substrate, which is about two orders and one order higher than that of conventionally used copper interconnects and CVD grown graphene respectively, thus demonstrating huge potential in outperforming copper wires for on-chip clocking. The drop in current at 473 K as compared to room temperature was found to be nearly 30%, indicating a positive temperature coefficient of resistivity (TCR). TCR for all cases were studied and it was found that with decrease in width, the sensitivity of temperature also reduces. The effect of resistivity on the breakdown current density was analysed on the experimental data using Matlab and found to follow the power-law equations. The breakdown current density was found to have a reciprocal relationship to graphene interconnect resistivity suggesting Joule heating as the likely mechanism of breakdown.

Published
2020
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48. Developing a vocabulary and ontology for modeling insect natural history data: example data, use cases, and competency questions.

Author

Stucky BJ, Balhoff JP, Barve N, Barve V, Brenskelle L, Brush MH, Dahlem GA, Gilbert JDJ, Kawahara AY, Keller O, Lucky A, Mayhew PJ, Plotkin D, Seltmann KC, Talamas E, Vaidya G, Walls R, Yoder M, Zhang G, and Guralnick R

Abstract

Insects are possibly the most taxonomically and ecologically diverse class of multicellular organisms on Earth. Consequently, they provide nearly unlimited opportunities to develop and test ecological and evolutionary hypotheses. Currently, however, large-scale studies of insect ecology, behavior, and trait evolution are impeded by the difficulty in obtaining and analyzing data derived from natural history observations of insects. These data are typically highly heterogeneous and widely scattered among many sources, which makes developing robust information systems to aggregate and disseminate them a significant challenge. As a step towards this goal, we report initial results of a new effort to develop a standardized vocabulary and ontology for insect natural history data. In particular, we describe a new database of representative insect natural history data derived from multiple sources (but focused on data from specimens in biological collections), an analysis of the abstract conceptual areas required for a comprehensive ontology of insect natural history data, and a database of use cases and competency questions to guide the development of data systems for insect natural history data. We also discuss data modeling and technology-related challenges that must be overcome to implement robust integration of insect natural history data.

Published
2019
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49. Cell therapy for heart disease: current status and future directions.

Author

Kahlon A, Vaidya G, and Bolli R

Subjects
Animals, Cell- and Tissue-Based Therapy trends, Heart Diseases diagnosis, Heart Diseases physiopathology, Humans, Myocardial Infarction diagnosis, Myocardial Infarction physiopathology, Myocardial Infarction therapy, Myocardial Ischemia diagnosis, Myocardial Ischemia physiopathology, Myocardial Reperfusion methods, Stem Cell Transplantation methods, Stem Cell Transplantation trends, Cell- and Tissue-Based Therapy methods, Heart Diseases therapy, Myocardial Ischemia therapy
Abstract

Treatment of ischemic heart disease has evolved considerably over time, seeing a technological impetus in recent times. Prompt diagnosis and progressively earlier reperfusion of the infarct artery have become the cornerstone of the early myocardial ischemia management. However, treatment of post-infarction sequelae resulting from ischemic damage sustained within the myocardium remains a considerable challenge. In this setting, stem cell therapy has emerged as an exciting regenerative modality with a promise to arrest or even reverse the pathological myocardial remodeling. Multiple preclinical and clinical studies have thereafter reported use of various types of stem cells delivered through varying routes. While most of these studies reported positive results, some appropriate concerns were raised in others. This has resulted in considerable uncertainty regarding cell therapy and an inability to formulate therapeutic recommendations. Though there has been a considerable improvement in our understanding of stem cell properties, there is a need to identify specific mechanisms of actions in order to maximize the benefits of stem cell therapy in ischemic heart disease. With this review, we attempt to highlight some of the salient features of stem cell research, focusing on understanding the predominant types of stem cells, proposed mechanisms of action, routes of administration, and application of this exciting and innovative regenerative therapy offered by stem cells.

Published
2018
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50. The tempo and mode of the taxonomic correction process: How taxonomists have corrected and recorrected North American bird species over the last 127 years.

Author

Vaidya G, Lepage D, and Guralnick R

Subjects
Animals, North America, Biodiversity, Birds classification
Abstract

While studies of taxonomy usually focus on species description, there is also a taxonomic correction process that retests and updates existing species circumscriptions on the basis of new evidence. These corrections may themselves be subsequently retested and recorrected. We studied this correction process by using the Check-List of North and Middle American Birds, a well-known taxonomic checklist that spans 130 years. We identified 142 lumps and 95 splits across sixty-three versions of the Check-List and found that while lumping rates have markedly decreased since the 1970s, splitting rates are accelerating. We found that 74% of North American bird species recognized today have never been corrected (i.e., lumped or split) over the period of the checklist, while 16% have been corrected exactly once and 10% have been corrected twice or more. Since North American bird species are known to have been extensively lumped in the first half of the 20th century with the advent of the biological species concept, we determined whether most splits seen today were the result of those lumps being recorrected. We found that 5% of lumps and 23% of splits fully reverted previous corrections, while a further 3% of lumps and 13% of splits are partial reversions. These results show a taxonomic correction process with moderate levels of recorrection, particularly of previous lumps. However, 81% of corrections do not revert any previous corrections, suggesting that the majority result in novel circumscriptions not previously recognized by the Check-List. We could find no order or family with a significantly higher rate of correction than any other, but twenty-two genera as currently recognized by the AOU do have significantly higher rates than others. Given the currently accelerating rate of splitting, prediction of the end-point of the taxonomic recorrection process is difficult, and many entirely new taxonomic concepts are still being, and likely will continue to be, proposed and further tested.

Published
2018
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