The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa
Background. On 26 March 2020, the South African (SA) government initiated a 21-day national level 5 lockdown which was subsequently eased off and downgraded to level 4 on 1 May and to level 3 on 1 June. The effect of lockdown measures on SARS-CoV-2 infectivity is currently uncertain. In this article, we analyse the effects of the lockdown measures on the SARS-CoV-2 epidemic in one of the epicentres in SA.
Objectives. To measure the effects of lockdown measures introduced in SA on SARS-CoV-2 attack rates (ARs, the percentage of individuals who tested positive in a specified time period) in Gauteng Province during a 4-month period (March - June 2020).
Methods. In this retrospective cohort study, we used a comprehensive database from an independent pathology laboratory in Gauteng. We analysed trends of positivity rates of reverse transcription polymerase chain reaction tests done during the 4-month period. The ARs are reported over time (unweighted and age-weighted 14-day moving averages) by age groups, gender, and different regions/districts in Gauteng.
Results. A total of 162 528 tests were performed at a private laboratory between 5 March and 30 June 2020, of which 20 574 were positive (overall AR 12.7%). These positive tests constituted 44.8% of all positive cases in the province (20 574/45 944). Sixty-two percent of all tests were done in June during lockdown level 3. There was an exponential increase in the AR in June (18.3%) when lockdown was eased to level 3, in comparison with 4.2% (March), 2.2% (April) and 3.3% (May). The increase in June was seen in all the age groups, although it was more pronounced in the 21 - 60 years age groups than the younger (0 - 20 years) and older (>60 years) age groups. The AR was significantly higher in males (13.2%) compared with females (12.1%) (χ2 test, p<0.0001).
Conclusions. The findings of this study testify to the rapid increase in ARs resulting from easing of the lockdown regulations, especially to level 3 in June. Of concern is the upward trend in the AR across all age groups, especially <20 years (15.9%), which was not reported in other parts of the world. Population age dynamics should therefore be considered when taking future decisions about lockdown regulations.
J Pillai, Department of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
P Motloba, Department of Community Dentistry, School of Oral Health Sciences, Sefako Makgatho Health Sciences University, Pretoria, South Africa
K S C Motaung, Department of Biomedical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa; Department of Technology Transfer and Innovation, Durban University of Technology, Durban, South Africa
L U Ozougwu, Department of Surgery, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
B K Ikalafeng, Gauteng Department of Health, Johannesburg, South Africa
E Marinda, Human Sciences Research Council, Pretoria, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
M Lukhele, Gauteng Department of Health, Johannesburg, South Africa
D Basu, Department of Public Health Medicine, Steve Biko Academic Hospital and Faculty of Health Sciences, University of Pretoria, South Africa; World Health Organization Collaborating Centre for Social Determinants of Health and Health in All Policies, Pretoria, South Africa
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Date published: 2020-10-28
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