Your browser doesn't support javascript.
Conflicting COVID-19 excess mortality estimates.
Moeti, Matshidiso; Makubalo, Lindiwe; Gueye, Abdou Salam; Balde, Thierno; Karamagi, Humphrey; Awandare, Gordon; Thumbi, S M; Zhang, Feifei; Mutapi, Francisca; Woolhouse, Mark.
  • Moeti M; WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Makubalo L; WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Gueye AS; WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Balde T; WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Karamagi H; WHO Regional Office for Africa, Brazzaville, Democratic Republic of the Congo.
  • Awandare G; West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana.
  • Thumbi SM; Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya; Paul G. Allen School for Global Health, Washington State University, Pullman, WA, USA; Tackling Infections to Benefit Africa, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Zhang F; National Institute of Health Data Science, Peking University, Beijing, China; Tackling Infections to Benefit Africa, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Mutapi F; Tackling Infections to Benefit Africa, University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Woolhouse M; Tackling Infections to Benefit Africa, University of Edinburgh, Edinburgh EH9 3FL, UK. Electronic address: mark.woolhouse@ed.ac.uk.
Lancet ; 401(10375): 431, 2023 02 11.
Article in English | MEDLINE | ID: covidwho-2233375
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2023 Document Type: Article Affiliation country: S0140-6736(23)00112-5

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: Lancet Year: 2023 Document Type: Article Affiliation country: S0140-6736(23)00112-5