COVID-19 deaths in South Africa: 99 days since South Africa's first death
BACKGROUND. Understanding the pattern of deaths from COVID-19 in South Africa (SA) is critical to identifying individuals at high risk of dying from the disease. The Minister of Health set up a daily reporting mechanism to obtain timeous details of COVID-19 deaths from the provinces to track mortality patterns.OBJECTIVES. To provide an epidemiological analysis of the first COVID-19 deaths in SA.METHODS. Provincial deaths data from 28 March to 3 July 2020 were cleaned, information on comorbidities was standardised, and data were aggregated into a single data set. Analysis was performed by age, sex, province, date of death and comorbidities.RESULTS. SA reported 3 088 deaths from COVID-19, i.e. an age-standardised death rate of 64.5 (95% confidence interval (CI) 62.3 - 66.8) deaths per million population. Most deaths occurred in Western Cape (65.5%) followed by Eastern Cape (16.8%) and Gauteng (11.3%). The median age of death was 61 years (interquartile range 52 - 71). Males had a 1.5 times higher death rate compared with females. Individuals with two or more comorbidities accounted for 58.6% (95% CI 56.6 - 60.5) of deaths. Hypertension and diabetes were the most common comorbidities reported, and HIV and tuberculosis were more common in individuals aged <50 years.CONCLUSIONS. Data collection for COVID-19 deaths in provinces must be standardised. Even though the data had limitations, these findings can be used by the SA government to manage the pandemic and identify individuals who are at high risk of dying from COVID-19.
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South African Medical Association
2020
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oai:scielo:S0256-957420200011000162020-11-27COVID-19 deaths in South Africa: 99 days since South Africa's first deathPillay-van Wyk,VBradshaw,DGroenewald,PSeocharan,IManda,SRoomaney,R AAwotiwon,ONkwenika,TGray,GButhelezi,S SMkhize,Z LBACKGROUND. Understanding the pattern of deaths from COVID-19 in South Africa (SA) is critical to identifying individuals at high risk of dying from the disease. The Minister of Health set up a daily reporting mechanism to obtain timeous details of COVID-19 deaths from the provinces to track mortality patterns.OBJECTIVES. To provide an epidemiological analysis of the first COVID-19 deaths in SA.METHODS. Provincial deaths data from 28 March to 3 July 2020 were cleaned, information on comorbidities was standardised, and data were aggregated into a single data set. Analysis was performed by age, sex, province, date of death and comorbidities.RESULTS. SA reported 3 088 deaths from COVID-19, i.e. an age-standardised death rate of 64.5 (95% confidence interval (CI) 62.3 - 66.8) deaths per million population. Most deaths occurred in Western Cape (65.5%) followed by Eastern Cape (16.8%) and Gauteng (11.3%). The median age of death was 61 years (interquartile range 52 - 71). Males had a 1.5 times higher death rate compared with females. Individuals with two or more comorbidities accounted for 58.6% (95% CI 56.6 - 60.5) of deaths. Hypertension and diabetes were the most common comorbidities reported, and HIV and tuberculosis were more common in individuals aged <50 years.CONCLUSIONS. Data collection for COVID-19 deaths in provinces must be standardised. Even though the data had limitations, these findings can be used by the SA government to manage the pandemic and identify individuals who are at high risk of dying from COVID-19.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=S0256-95742020001100016en |
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Pillay-van Wyk,V Bradshaw,D Groenewald,P Seocharan,I Manda,S Roomaney,R A Awotiwon,O Nkwenika,T Gray,G Buthelezi,S S Mkhize,Z L |
| spellingShingle |
Pillay-van Wyk,V Bradshaw,D Groenewald,P Seocharan,I Manda,S Roomaney,R A Awotiwon,O Nkwenika,T Gray,G Buthelezi,S S Mkhize,Z L COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| author_facet |
Pillay-van Wyk,V Bradshaw,D Groenewald,P Seocharan,I Manda,S Roomaney,R A Awotiwon,O Nkwenika,T Gray,G Buthelezi,S S Mkhize,Z L |
| author_sort |
Pillay-van Wyk,V |
| title |
COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| title_short |
COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| title_full |
COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| title_fullStr |
COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| title_full_unstemmed |
COVID-19 deaths in South Africa: 99 days since South Africa's first death |
| title_sort |
covid-19 deaths in south africa: 99 days since south africa's first death |
| description |
BACKGROUND. Understanding the pattern of deaths from COVID-19 in South Africa (SA) is critical to identifying individuals at high risk of dying from the disease. The Minister of Health set up a daily reporting mechanism to obtain timeous details of COVID-19 deaths from the provinces to track mortality patterns.OBJECTIVES. To provide an epidemiological analysis of the first COVID-19 deaths in SA.METHODS. Provincial deaths data from 28 March to 3 July 2020 were cleaned, information on comorbidities was standardised, and data were aggregated into a single data set. Analysis was performed by age, sex, province, date of death and comorbidities.RESULTS. SA reported 3 088 deaths from COVID-19, i.e. an age-standardised death rate of 64.5 (95% confidence interval (CI) 62.3 - 66.8) deaths per million population. Most deaths occurred in Western Cape (65.5%) followed by Eastern Cape (16.8%) and Gauteng (11.3%). The median age of death was 61 years (interquartile range 52 - 71). Males had a 1.5 times higher death rate compared with females. Individuals with two or more comorbidities accounted for 58.6% (95% CI 56.6 - 60.5) of deaths. Hypertension and diabetes were the most common comorbidities reported, and HIV and tuberculosis were more common in individuals aged <50 years.CONCLUSIONS. Data collection for COVID-19 deaths in provinces must be standardised. Even though the data had limitations, these findings can be used by the SA government to manage the pandemic and identify individuals who are at high risk of dying from COVID-19. |
| publisher |
South African Medical Association |
| publishDate |
2020 |
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http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0256-95742020001100016 |
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