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Impact of level five lockdown on the incidence of COVID-19: lessons learned from South Africa.
Made, Felix; Utembe, Wells; Wilson, Kerry; Naicker, Nisha; Tlotleng, Nonhlanhla; Mdleleni, Simbulele; Mazibuko, Lusanda; Ntlebi, Vusi; Ngwepe, Phuti.
Afiliación
  • Made F; Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2000, South Africa.
  • Utembe W; Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg 2000, South Africa.
  • Wilson K; Department of Toxicology, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2000, South Africa.
  • Naicker N; Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2000, South Africa.
  • Tlotleng N; Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2000, South Africa.
  • Mdleleni S; Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2000, South Africa.
  • Mazibuko L; Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg 2000, South Africa.
  • Ntlebi V; Department of Environmental Health, Faculty of Health Sciences, University of Johannesburg, Johannesburg 2000, South Africa.
  • Ngwepe P; Epidemiology and Surveillance Section, National Institute for Occupational Health, National Health Laboratory Service, Johannesburg 2000, South Africa.
Pan Afr Med J ; 39: 144, 2021.
Article en En | MEDLINE | ID: mdl-34527160
INTRODUCTION: the level five (L5) lockdown was a very stringent social distancing measure taken to reduce the spread of COVID-19 infections. This study assessed the impact of the L5 lockdown and its association with the incidence of COVID-19 cases in South Africa (SA). METHODS: data was obtained from the National Department of Health (NDoH) from the 5th March to the 30th April 2020. A basic reproductive number (R0) and a serial interval were used to calculate estimated cases (EC). A double exponential smoothing model was used to forecast the number of cases during the L5 lockdown period. A Poisson regression model was fitted to describe the association between L5 lockdown status and incident cases. RESULTS: a total of 5,737 laboratory-confirmed cases (LCC) were reported by 30th April 2020, 4,785 (83%) occurred during L5 lockdown. Our model forecasted 30,629 cases of COVID-19 assuming L5 lockdown was not imposed. High incidence rates of COVID-19 were recorded in KwaZulu-Natal and Mpumalanga Provinces during the L5 lockdown compared to the other provinces. Nationally, the incident rate of COVID-19 was 68.00% higher in L5 lockdown than pre-lockdown for LCC. CONCLUSION: the L5 lockdown was very effective in reducing the incidence of COVID-19 cases. However, the incident rates of LCC and EC were higher nationally, and in some provinces during the L5 lockdown.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Distanciamiento Físico / COVID-19 Tipo de estudio: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Pan Afr Med J Año: 2021 Tipo del documento: Article País de afiliación: Sudáfrica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Distanciamiento Físico / COVID-19 Tipo de estudio: Diagnostic_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Africa Idioma: En Revista: Pan Afr Med J Año: 2021 Tipo del documento: Article País de afiliación: Sudáfrica