Commentary: Measuring excess mortality due to the COVID-19 pandemic: progress and persistent challenges.
Commentary: Measuring excess mortality due to the COVID-19 pandemic: progress and persistent challenges.
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DOI:
10.1093/ije/dyab260
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发表时间:
2022-02-18
影响因子:
7.7
通讯作者:
Queiroz BL
中科院分区:
文献类型:
--
作者:
Helleringer S;Queiroz BL
Since the beginning of the COVID-19 pandemic, health authorities worldwide periodically report COVID-19 cases and deaths. These ‘official’counts are aggregated primarily from data compiled by laboratories and hospitals, 1 and they document, imperfectly, the effects of COVID-19 on population health. 2–4 Case counts are partial due to limited testing 5 and death counts might miss COVID deaths that occur outside of health facilities. 6 These figures also exclude non-COVID deaths which are indirectly a result of the pandemic (eg because of disrupted health services). 7 The total effects of the pandemic are more reliably captured by the concept of ‘excess mortality’. This is the difference between the number of deaths (from any cause) that occur during the pandemic and the number of deaths that would have occurred in the absence of the pandemic. Many analysts consider excess mortality as ‘the most objective possible indicator of the COVID-19 death toll’. 8 Four recent papers in the International Journal of Epidemiology used this counterfactual approach to paint a nuanced picture of the impact of COVID-19. 9–12 In 2020, countries like Japan 12 and Denmark 10 experienced lower than expected mortality, whereas deaths have increased substantially in the USA, UK and other countries. 9–11 Excess mortality has affected older adults disproportionately, but increases in mortality among people of working age were observed in the USA and elsewhere. 9 Gender differences in excess mortality have varied across countries. Excess deaths were also concentrated in socioeconomically disadvantaged groups. 11
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影响因子:
9.8
作者:
Hasell J;Mathieu E;Beltekian D;Macdonald B;Giattino C;Ortiz-Ospina E;Roser M;Ritchie H
通讯作者:
Ritchie H
影响因子:
--
作者:
Dorrington RE;Moultrie TA;Laubscher R;Groenewald PJ;Bradshaw D
通讯作者:
Bradshaw D
影响因子:
--
作者:
Lima EEC;Vilela EA;Peralta A;Rocha M;Queiroz BL;Gonzaga MR;Piscoya-Díaz M;Martinez-Folgar K;García-Guerrero VM;Freire FHMA
通讯作者:
Freire FHMA
影响因子:
3.3
作者:
Queiroz BL;Gonzaga MR;Vasconcelos AMN;Lopes BT;Abreu DMX
通讯作者:
Abreu DMX
影响因子:
7.7
作者:
Achilleos S;Quattrocchi A;Gabel J;Heraclides A;Kolokotroni O;Constantinou C;Pagola Ugarte M;Nicolaou N;Rodriguez-Llanes JM;Bennett CM;Bogatyreva E;Schernhammer E;Zimmermann C;Costa AJL;Lobato JCP;Fernandes NM;Semedo-Aguiar AP;Jaramillo Ramirez GI;Martin Garzon OD;Mortensen LH;Critchley JA;Goldsmith LP;Denissov G;Rüütel K;Le Meur N;Kandelaki L;Tsiklauri S;O'Donnell J;Oza A;Kaufman Z;Zucker I;Ambrosio G;Stracci F;Hagen TP;Erzen I;Klepac P;Arcos González P;Fernández Camporro Á;Burström B;Pidmurniak N;Verstiuk O;Huang Q;Mehta NK;Polemitis A;Charalambous A;Demetriou CA
通讯作者:
Demetriou CA