TY - JOUR
T1 - Impact of level five lockdown on the incidence of covid-19
T2 - Lessons learned from south africa
AU - Made, Felix
AU - Utembe, Wells
AU - Wilson, Kerry
AU - Naicker, Nisha
AU - Tlotleng, Nonhlanhla
AU - Mdleleni, Simbulele
AU - Mazibuko, Lusanda
AU - Ntlebi, Vusi
AU - Ngwepe, Phuti
N1 - Publisher Copyright:
© Felix Made et al.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Basic reproductive number
KW - Estimated cases
KW - Forecast cases
KW - Laboratory confirmed cases
UR - http://www.scopus.com/inward/record.url?scp=85114094693&partnerID=8YFLogxK
U2 - 10.11604/pamj.2021.39.144.28201
DO - 10.11604/pamj.2021.39.144.28201
M3 - Article
C2 - 34527160
AN - SCOPUS:85114094693
SN - 1937-8688
VL - 39
JO - Pan African Medical Journal
JF - Pan African Medical Journal
M1 - 144
ER -