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Using mortuary and burial data to place COVID-19 in Lusaka, Zambia within a global context.
Sheppard, Richard J; Watson, Oliver J; Pieciak, Rachel; Lungu, James; Kwenda, Geoffrey; Moyo, Crispin; Chanda, Stephen Longa; Barnsley, Gregory; Brazeau, Nicholas F; Gerard-Ursin, Ines C G; Olivera Mesa, Daniela; Whittaker, Charles; Gregson, Simon; Okell, Lucy C; Ghani, Azra C; MacLeod, William B; Del Fava, Emanuele; Melegaro, Alessia; Hines, Jonas Z; Mulenga, Lloyd B; Walker, Patrick G T; Mwananyanda, Lawrence; Gill, Christopher J.
Afiliación
  • Sheppard RJ; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Watson OJ; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Pieciak R; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Lungu J; Department of Global Health, Boston University School of Public Health, Boston, MA, USA.
  • Kwenda G; Avencion Limited, Lusaka, Zambia.
  • Moyo C; Department of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
  • Chanda SL; Avencion Limited, Lusaka, Zambia.
  • Barnsley G; Zambia National Public Health Institute, Lusaka, Zambia.
  • Brazeau NF; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Gerard-Ursin ICG; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Olivera Mesa D; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Gregson S; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Okell LC; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Ghani AC; Manicaland Centre for Public Health Research, Biomedical Research and Training Institute, Harare, Zimbabwe.
  • MacLeod WB; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Del Fava E; MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, Imperial College, London, UK.
  • Melegaro A; Department of Global Health, Boston University School of Public Health, Boston, MA, USA.
  • Hines JZ; Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy.
  • Mulenga LB; Max Planck Institute for Demographic Research, Rostock, Germany.
  • Walker PGT; Carlo F. Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy.
  • Mwananyanda L; Department of Social and Political Science, Bocconi University, Milano, Italy.
  • Gill CJ; Centers for Disease Control and Prevention, Lusaka, Zambia.
Nat Commun ; 14(1): 3840, 2023 06 29.
Article en En | MEDLINE | ID: mdl-37380650
ABSTRACT
Reported COVID-19 cases and associated mortality remain low in many sub-Saharan countries relative to global averages, but true impact is difficult to estimate given limitations around surveillance and mortality registration. In Lusaka, Zambia, burial registration and SARS-CoV-2 prevalence data during 2020 allow estimation of excess mortality and transmission. Relative to pre-pandemic patterns, we estimate age-dependent mortality increases, totalling 3212 excess deaths (95% CrI 2104-4591), representing an 18.5% (95% CrI 13.0-25.2%) increase relative to pre-pandemic levels. Using a dynamical model-based inferential framework, we find that these mortality patterns and SARS-CoV-2 prevalence data are in agreement with established COVID-19 severity estimates. Our results support hypotheses that COVID-19 impact in Lusaka during 2020 was consistent with COVID-19 epidemics elsewhere, without requiring exceptional explanations for low reported figures. For more equitable decision-making during future pandemics, barriers to ascertaining attributable mortality in low-income settings must be addressed and factored into discourse around reported impact differences.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido