How many people could die of Covid-19 in South Africa?

Researchers estimate deaths based on Chinese and Italian data. But we can take action to stop the worst outcomes

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Image of coronaviruses
Researchers have estimated using Chinese and Italian data how many South Africans could die of Covid-19.
(Image of SARS-CoV-2 virions emerging from a cell by the US NIAID, CC BY 2.0)

How many people could Covid-19 kill in South Africa? Researchers at the University of East Anglia in England have used data from the Chinese and Italian epidemics to make an online tool that estimates the potential number of deaths in other countries, including South Africa.

Led by Professor Peter Lloyd-Sherlock, the team, known as the Potential Impact of COVID-19 on Human Mortality (PIHCM) Expert Consortium, warns that the tool’s results should be treated with caution. They have made assumptions based on the very imperfect knowledge we have of the coronavirus pandemic. Scientists are still unsure of how fast the virus spreads and what percentage of infected people it kills.

The interesting thing about this tool though is that it takes into account the ages of a country’s population. Here are the estimates for South Africa assuming that 25% or 50% of the population gets infected, using the Italian or Chinese mortality data:

Data from

% infected

Total
SA deaths

Age: 0-29

30-39

40-49

50-59

60-69

70-79

80+

China

25

119,798

9,643

5,985

7,349

15,351

28,392

30,811

22,267

China

50

239,610

19,287

11,973

14,699

30,705

56,785

61,623

44,538

Italy

25

94,835

0

3,086

1,090

6,673

21,174

37,212

25,590

Italy

50

189,638

0

6,170

2,176

13,343

42,347

74,423

51,179

For example if 50% of the population gets infected then using the Chinese data nearly 240,000 people in South Africa would die, and using the Italian data about 190,000 South Africans would die. Halve these numbers if we keep infections to 25%.

Peter Lloyd-Sherlock told GroundUp: “These are just hypothetical scenarios, based on a best-guess approach. What we can’t guess is how well South Africans will respond to this calamity. Quite simple actions could do a lot to limit the rate of infection, potentially saving many thousands of lives.”

These calculations do not take into account that South Africans are generally in poorer health than the Italian and Chinese populations. It is unknown if the higher rates of HIV, TB, diabetes, and hypertension and the poorer nutritional status of many people will result in a higher death rate. And while the intensive care units in facilities like Groote Schuur Hospital are first-class, most cities and towns in South Africa cannot offer the kind of care that is being offered in Italy, nor even China probably.

To understand what it means for 240,000 people to die, consider that about 60,000 South Africans are expected to die of AIDS in 2020 (source: Thembisa model). In the worst year of the AIDS epidemic, 2005, about 285,000 people died of the disease, an average of nearly 770 people per day. So we’d be looking at the kind of mortality we had in 2005.

This is bad enough, but it will be a lot worse if much more than 50% of people get infected (which is possible if the virus is allowed to spread without efforts to stop it) or our population’s poor health results in more deaths.

And there is a further factor that can make it even worse. Even at the height of the AIDS crisis, deaths were spread out more or less evenly in a year. But here if the curve is not flattened (in other words, if we do not act to slow the number of infections), most of these deaths would happen over a few months, with immediate and devastating effects on the health system and on patients who don’t have Covid-19. Also many people who survive Covid-19 nevertheless become very ill and also need to go to hospital. If the health system cannot cope, people who could have survived the illness may die.

It is because of scenarios like this that governments across the world, including South Africa, are taking strenuous action to reduce the rate of infections.

Professor Francois Venter, a director at Wits University’s Ezintsha research unit, said this analysis gives South Africa a “heads-up”. He said we have the resources to intervene and keep the infection rate down. “We cannot behave like the US and stick our heads in the sand. We need to support the lockdown and case finding urgently.”


GroundUp’s policy is that we prefer not to report on medical research that has not been peer-reviewed, such as this. But we are making cautious exceptions during the Covid-19 crisis.

TOPICS:  Covid-19

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Write a letter in response to this article

Letters

Dear Editor

The figures show two senarios, based on Chinese and Italian models. It predicts that if 50% were infected following the Chinese model 240 000 people and in the Italian model 198 000 would die.
How that is possible if Many More of the infected people died in Italy than in China? If anything the figures should be the other way around and the difference should be much bigger

To date:
4% of Chinese infections resulted in death
44% of Italian infection have now resulted in death.

Italy’s population is 59 mil much like that of RSA.
Their infection rate is currently nowhere near 50% of their population it is currently at 0,169%
If 50% of 58mil (RSA) were infected 29mil will be infected.
If the Italian model were applied 44% or 12,7mil would die, not 198 000?
Could mr Geffen please explain his figures?

GroundUp Editor's Response

In response to Mr Rabie:

1. The figures are not Nathan Geffen's. They are by the East Anglia researchers who are very competent.

2. To date, it is not true that 44% of confirmed Italian infections have resulted in death. It's about 11% as of today, and lower still at the time the analysis was done.

3. The critical thing to understand is that all the numbers provided by the East Anglia researchers are adjusted for the age of the population. The average age at which people in Italy have been dying is much higher than the average age at which people in China have been dying. Hence the lower mortality rate for the Italian scenarios than the Chinese ones when projected onto other countries.

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