Ahmed, Imran; Ali, Said Mohamed; Amenga-Etego, Seeba; Ariff, Shabina; Bahl, Rajiv; Baqui, Abdullahi H.; Begum, Nazma; Bhandari, Nita; Bhatia, Kiran; Bhutta, Zulfikar A.; Biemba, Godfrey; Deb, Saikat; Dhingra, Usha; Dube, Brinda; Dutta, Arup; Edmond, Karen; Esamai, Fabian; Fawzi, Wafaie; Ghosh, Amit Kumar; Gisore, Peter; Grogan, Caroline; Hamer, Davidson H; Herlihy, Julie; Hurt, Lisa; Ilyas, Muhammad; Jehan, Fyezah; Kalonji, Michel; Kaur, Jasmine; Khanam, Rasheda; Kirkwood, Betty; Kumar, Aarti; Kumar, Alok; Kumar, Vishwajeet; Manu, Alexander; Marete, Irene; Masanja, Honorati; Mazumder, Sarmila; Mehmood, Usma; Mishra, Shambhavi; Mitra, Dipak K; Mlay, Erick; Mohan, Sanjana Brahmawar; Moin, Mamun Ibne; Muhammad, Karim; Muhihi, Alfa; Newton, Samuel; Ngaima, Serge; Nguwo, Andre; Nisar, Imran; O'Leary, Maureen; Otomba, John; Patil, Pawankumar; Quaiyum, Mohammad Abdul; Rahman, Mohammed Hefzur; Sazawal, Sunil; Semrau, Katherine E. A.; Shannon, Caitlin; Smith, Emily R; Soofi, Sajid; Soremekun, Seyi; Sunday, Venantius; Taneja, Sunita; Tshefu, Antoinette; Wasan, Yaqub; Yeboah-Antwi, Kojo; Yoshida, Sachiyo; Zaidi, Anita
(The Lancet Global Health, 2018-10-22)
Background Modelled mortality estimates have been useful for health programmes in low-income and middle-income
countries. However, these estimates are often based on sparse and low-quality data. We aimed to generate high ...