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COVID-19 and all-cause mortality in South Africa – the hidden deaths in the first four waves
by
Groenewald, Pamela
, Laubscher, Ria
, Bradshaw, Debbie
, Dorrington, Rob
, Moultrie, Tom
in
Adjustment
/ Age
/ Age composition
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ Death
/ Diabetes mellitus
/ Estimates
/ Fatalities
/ Hypertension
/ Mortality
/ Pandemics
/ Population
/ Population density
/ Public health
/ Real time
/ Registration
/ Severe acute respiratory syndrome coronavirus 2
/ Statistics
/ Vaccination
/ Vital statistics
2022
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COVID-19 and all-cause mortality in South Africa – the hidden deaths in the first four waves
by
Groenewald, Pamela
, Laubscher, Ria
, Bradshaw, Debbie
, Dorrington, Rob
, Moultrie, Tom
in
Adjustment
/ Age
/ Age composition
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ Death
/ Diabetes mellitus
/ Estimates
/ Fatalities
/ Hypertension
/ Mortality
/ Pandemics
/ Population
/ Population density
/ Public health
/ Real time
/ Registration
/ Severe acute respiratory syndrome coronavirus 2
/ Statistics
/ Vaccination
/ Vital statistics
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
COVID-19 and all-cause mortality in South Africa – the hidden deaths in the first four waves
by
Groenewald, Pamela
, Laubscher, Ria
, Bradshaw, Debbie
, Dorrington, Rob
, Moultrie, Tom
in
Adjustment
/ Age
/ Age composition
/ Comorbidity
/ Coronaviruses
/ COVID-19
/ Death
/ Diabetes mellitus
/ Estimates
/ Fatalities
/ Hypertension
/ Mortality
/ Pandemics
/ Population
/ Population density
/ Public health
/ Real time
/ Registration
/ Severe acute respiratory syndrome coronavirus 2
/ Statistics
/ Vaccination
/ Vital statistics
2022
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COVID-19 and all-cause mortality in South Africa – the hidden deaths in the first four waves
Journal Article
COVID-19 and all-cause mortality in South Africa – the hidden deaths in the first four waves
2022
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Overview
Accurate statistics are essential for policy guidance and decisions. However, the reported number of cases and COVID-19 deaths are known to be biased due to under-ascertainment of SARS-CoV-2 and incomplete reporting of deaths. Making use of death data from the National Population Register has made it possible to track in near-real time the number of excess deaths experienced in South Africa. These data reveal considerable provincial differences in the impact of COVID-19, likely associated with differences in population age structure and density, patterns of social mixing, and differences in the prevalence of known comorbidities such as diabetes, hypertension, and obesity. As the waves unfolded, levels of natural immunity together with vaccination began to reduce levels of mortality. Mortality rates during the second (Beta) wave were much higher than mortality in the third (Delta) wave, which were higher than in either the first or the fourth (Omicron) waves. However, the cumulative death toll during the second (Beta) wave was of a similar order of magnitude as that during the third (Delta) wave due to the longer duration of the Delta wave. Near-real time monitoring of all-cause deaths should be refined to provide more granular-level information to enable district-level policy support. In the meanwhile, there is an urgent need to re-engineer the civil registration and vital statistics system to enable more timely access to cause of death information for public health actions.
Publisher
Academy of Science of South Africa
Subject
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