Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

Wang, Haidong; Paulson, Katherine R; Pease, Spencer A; Watson, Stefanie; Comfort, Haley; Zheng, Peng; Aravkin, Aleksandr Y; Bisignano, Catherine; Barber, Ryan M; Alam, Tahiya; Fuller, John E; May, Erin A; Jones, Darwin Phan; Frisch, Meghan E; Abbafati, Cristiana; Adolph, Christopher; Allorant, Adrien; Amlag, Joanne O; Bang-Jensen, Bree; Bertolacci, Gregory J; Bloom, Sabina S; Carter, Austin; Castro, Emma; Chakrabarti, Suman; Chattopadhyay, Jhilik; Cogen, Rebecca M; Collins, James K; Cooperrider, Kimberly; Dai, Xiaochen; Dangel, William James; Daoud, Farah; Dapper, Carolyn; Deen, Amanda; Duncan, Bruce B; Erickson, Megan; Ewald, Samuel B; Fedosseeva, Tatiana; Ferrari, Alize J; Frostad, Joseph Jon; Fullman, Nancy; Gallagher, John; Gamkrelidze, Amiran; Guo, Gaorui; He, Jiawei; Helak, Monika; Henry, Nathaniel J; Hulland, Erin N; Huntley, Bethany M; Kereselidze, Maia; Lazzar-Atwood, Alice

doi:10.1016/s0140-6736(21)02796-3

Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

Summary Background Mortality statistics are fundamental to public health decision making. Mortality varies by time and location, and its measurement is affected by well known biases that have been exacerbated during the COVID-19 pandemic. This paper aims to estimate excess mortality from the COVI…