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%) (x2test, 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.
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South African Medical Association
2020
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oai:scielo:S0256-957420200011000212020-11-27The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South AfricaPillai,JMotloba,PMotaung,K S COzougwu,L UIkalafeng,B KMarinda,ELukhele,MBasu,DBACKGROUND. 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%) (x2test, 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.South African Medical AssociationSAMJ: South African Medical Journal v.110 n.11 20202020-11-01journal articletext/htmlhttp://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0256-95742020001100021en |
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Pillai,J Motloba,P Motaung,K S C Ozougwu,L U Ikalafeng,B K Marinda,E Lukhele,M Basu,D |
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Pillai,J Motloba,P Motaung,K S C Ozougwu,L U Ikalafeng,B K Marinda,E Lukhele,M Basu,D The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
author_facet |
Pillai,J Motloba,P Motaung,K S C Ozougwu,L U Ikalafeng,B K Marinda,E Lukhele,M Basu,D |
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Pillai,J |
title |
The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
title_short |
The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
title_full |
The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
title_fullStr |
The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
title_full_unstemmed |
The effect of lockdown regulations on SARS-CoV-2 infectivity in Gauteng Province, South Africa |
title_sort |
effect of lockdown regulations on sars-cov-2 infectivity in gauteng province, south africa |
description |
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%) (x2test, 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. |
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South African Medical Association |
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2020 |
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http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0256-95742020001100021 |
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