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1.
S Afr Med J ; 110(11): 1093-1099, 2020 10 01.
Artigo em Inglês | MEDLINE | ID: mdl-33403985

RESUMO

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.


Assuntos
COVID-19/mortalidade , Diabetes Mellitus/epidemiologia , Infecções por HIV/epidemiologia , Hipertensão/epidemiologia , Tuberculose/epidemiologia , Adolescente , Adulto , Distribuição por Idade , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , Criança , Pré-Escolar , Comorbidade , Feminino , Humanos , Lactente , Recém-Nascido , Masculino , Pessoa de Meia-Idade , SARS-CoV-2 , Distribuição por Sexo , África do Sul/epidemiologia , Adulto Jovem
2.
S. Afr. med. j. (Online) ; 0:0(0): 1-8, 2020. ilus
Artigo em Inglês | AIM (África) | ID: biblio-1271072

RESUMO

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


Assuntos
COVID-19 , Infecções por Coronavirus/mortalidade , Morte , África do Sul
3.
S Afr Med J ; 103(10 Pt 2): 779-83, 2013 Aug 29.
Artigo em Inglês | MEDLINE | ID: mdl-24079633

RESUMO

Locally specific epidemiological understanding is pivotal to the success of malaria elimination in South Africa. Here, we focus on how the host, vector, parasite and environment and their interactions have influenced malaria incidence in South Africa between 1995 and 2012. Broad environmental considerations are necessary, including the physical (temperature and humidity), social (migration patterns), economic (quality of housing stock) and political (regional collaboration). 


Assuntos
Erradicação de Doenças/organização & administração , Epidemias/prevenção & controle , Malária/epidemiologia , Malária/transmissão , Serviços Preventivos de Saúde/organização & administração , Antimaláricos/uso terapêutico , Humanos , Malária/prevenção & controle , África do Sul/epidemiologia
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