Unpacking South Africa'S Excess Deaths. What Is Known And Where The Gaps Are
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Unpacking South Africa’s excess deaths. What is known and where the gaps are

In the 2000s experts from the University of Cape Town and the South African Medical Research Council built a system to track AIDS mortality on a monthly and a yearly basis, using data from the Department of Home Affairs. In 2020 researchers built on this system to track COVID-19 deaths in South Africa. Now, South Africa is one of few countries in the developing world that have managed to build a near-real time mortality tracking system. The South African Medical Research Council publishes a weekly report on deaths in the country. The Conversation’s Ina Skosana spoke to demographer Tom Moultrie about what the data shows.


Who, according to your figures, is dying, and where are they?

The weekly mortality report provides information on deaths registered in almost real-time on the National Population Register. These are used to determine the actual number of deaths that have occurred in the country and calculate the number of excess deaths over and above the numbers that would be expected had the historical mortality trends before the COVID-19 pandemic continued.

In South Africa between May 2020 and early September 2021, over a quarter of a million more people have died from natural causes than was predicted for that time period.

The vast majority – three quarters – are over the age of 60.

The burden of this has been very heavily felt by those at older ages. But it is not completely unaffecting those aged under 60. And that is because of the high prevalence of noncommunicable diseases. South Africa has a high incidence of diseases and conditions such as diabetes, hypertension and obesity. These are all known cofactors for COVID-19 related mortality

The geography of where people are dying is largely a reflection of where people are living. The actual count of excess deaths is lower in the sparsely populated Northern Cape than more densely-populated provinces such as the Western Cape or Gauteng. Allowing for population size and age-distribution, the three most-affected provinces are the Northern Cape, KwaZulu-Natal, and the Eastern Cape; while the three least-affected provinces are the Western Cape, North West, and Gauteng.

What are the leading causes of death?

This is the real problem we have with trying to understand COVID-19 deaths in the country. We get the data we use from the Department of Home Affairs, which only classifies deaths by natural or unnatural causes.

Unnatural causes of death would be homicides, suicides and accidents. Natural causes refers to medical causes of death.

At the time of death, a doctor or medical attendant records the chain of causes leading to death on an official death notification form. But that information is not captured in real time by the Department of Home Affairs. This data is only released by Statistics South Africa many years after the fact. For example, the mortality and causes of death report release in 2021 reflects deaths recorded through to 2018. However, the actual data are still only available through to 2017.

The numbers reported by the national Department of Health every night reflect those known to have died from COVID-19 and who were known to have been infected with the virus. But those reports miss many deaths, especially of those who do not die in a health facility.

In the meantime, however, we can look at the proportions of people testing positive, the excess deaths (above what was expected) as well as the officially reported COVID-19 deaths to get a sense of how these relate to each other. The estimates of excess deaths produced every week show that the peaks of the excess deaths follow almost exactly the peaks of reported COVID-19 deaths, as well as the cases reported a week or so earlier.

The South African Medical Research Council and University of Cape Town collaboration, who produce the estimates of excess deaths every week, has come to the view that between 85% and 95% of the excess natural deaths in the country are related to COVID-19.

But we do not know for certain. That’s one of the great tragedies of vital registration systems in sub-Saharan Africa and the developing world generally.

How can this information be used in the COVID-19 response?

The excess deaths shows that the effects of COVID-19 are far more severe than that reflected in the national data. We can see that even at a more granular level by looking at the provincial data. The number of COVID-19 deaths reported in the Western Cape – which has the best-functioning health data system in the country – is about 70% of the number of excess deaths estimated for the province. Based on this information we can be fairly certain that other provinces are missing COVID-19 deaths.

But even if we can’t attribute all of those excess deaths to COVID-19, we can say with a high degree of certainty that a lot more people have died from COVID-19 than has been reported by the National Department of Health.

Another thing that we’ve managed to do during this period of repeated lockdowns and changes in regulations has been to try and tease out the effects of the various alcohol bans and curfews on the number of unnatural deaths. Unnatural deaths – as a consequence of homicide, suicide, and accidents – tend to be strongly associated with alcohol. And one of the things which we have managed to show in the paper, which we published in the South African Medical Journal, was exactly how extreme the effects of banning alcohol are in terms of their impacts on the number of unnatural deaths. We also showed that the partial restrictions on the sale of alcohol are largely ineffective.

So this data contributes to the evidence base which government can draw on to determine what their COVID-19 response should be.

Tags: #Unpacking #South #Africas #excess #deaths #gaps

Written by Tom Moultrie, Professor of Demography, University of Cape Town

This article by Tom Moultrie, Professor of Demography, University of Cape Town, originally published on The Conversation is licensed under Creative Commons 4.0 International(CC BY-ND 4.0).

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