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Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves.
Bingham, Jeremy; Tempia, Stefano; Moultrie, Harry; Viboud, Cecile; Jassat, Waasila; Cohen, Cheryl; Pulliam, Juliet R C.
Afiliação
  • Bingham J; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
  • Tempia S; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.
  • Moultrie H; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
  • Viboud C; Division of the National Health Laboratory Service, Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa.
  • Jassat W; School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Cohen C; Fogarty International Center, NIH, Bethesda, MD, United States of America.
  • Pulliam JRC; Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa.
PLoS One ; 18(9): e0287026, 2023.
Article em En | MEDLINE | ID: mdl-37738280
OBJECTIVES: The aim of this study was to quantify transmission trends in South Africa during the first four waves of the COVID-19 pandemic using estimates of the time-varying reproduction number (R) and to compare the robustness of R estimates based on three different data sources, and using data from public and private sector service providers. METHODS: R was estimated from March 2020 through April 2022, nationally and by province, based on time series of rt-PCR-confirmed cases, hospitalisations, and hospital-associated deaths, using a method that models daily incidence as a weighted sum of past incidence, as implemented in the R package EpiEstim. R was also estimated separately using public and private sector data. RESULTS: Nationally, the maximum case-based R following the introduction of lockdown measures was 1.55 (CI: 1.43-1.66), 1.56 (CI: 1.47-1.64), 1.46 (CI: 1.38-1.53) and 3.33 (CI: 2.84-3.97) during the first (Wuhan-Hu), second (Beta), third (Delta), and fourth (Omicron) waves, respectively. Estimates based on the three data sources (cases, hospitalisations, deaths) were generally similar during the first three waves, but higher during the fourth wave for case-based estimates. Public and private sector R estimates were generally similar except during the initial lockdowns and in case-based estimates during the fourth wave. CONCLUSION: Agreement between R estimates using different data sources during the first three waves suggests that data from any of these sources could be used in the early stages of a future pandemic. The high R estimates for Omicron relative to earlier waves are interesting given a high level of exposure pre-Omicron. The agreement between public and private sector R estimates highlights that clients of the public and private sectors did not experience two separate epidemics, except perhaps to a limited extent during the strictest lockdowns in the first wave.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD / 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 4_TD / 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Africa Idioma: En Revista: PLoS One Ano de publicação: 2023 Tipo de documento: Article