An animation of Earth and COVID-19 viruses flying around the planet.

Why Africa has seen such low COVID-19 death rates

There is a huge gap between predictions of untold deaths from the novel coronavirus in Africa and what has actually happened on the continent.

The Conversation

An animation showing Earth with coronaviruses flying around the planet. 


As the threat of the coronavirus pandemic emerged earlier this year, many felt a sense of apprehension about what would happen when COVID-19 reached Africa. Concerns over the combination of overstretched, underfunded health systems and the existing load of infectious and non-infectious diseases often led to scenarios being talked about in apocalyptic terms.

However, it has not turned out quite that way. On September 29, the world passed one million reported deaths (though the true figure will of course be higher). On the same day, the count for Africa was a cumulative total of 35,954.  

Africa accounts for 17% of the global population but only 3.5% of these global deaths officially attributed to COVID-19. All deaths are lamentable and we should not ignore these relatively low numbers. And of course data collected over such a wide range of countries will be of variable quality. But the gap between many predictions and what has actually happened is staggering. There has already been much discussion about what could account for this disparity.

As leads of the COVID-19 team at the African Academy of Sciences, we have followed the unfolding events and various explanations put forward. The emerging picture is that in many African countries, transmission has been higher but severity and mortality much lower than originally predicted based on experience in China and Europe.

We argue that Africa’s much younger population explains a very large part of the apparent difference. Some of the remaining gap is probably due to under-reporting of events but there are a number of other plausible explanations. These range from climatic differences, pre-existing immunity, genetic factors and behavioral differences.

Given the enormous variability in conditions across a continent — with the African Union's 55 member states — the exact contribution of any one factor in a particular environment is likely to vary. But the bottom line is that what appeared at first to be a mystery looks less puzzling as more and more research evidence emerges.

Age above all else

The most obvious factor for the low death rates is the population-age structure. Across multiple countries, the risk of dying from COVID-19 for those aged 80 years or more is around a hundred times that of people in their twenties.

This can best be appreciated with a specific example. As of September 30, the UK had reported 41,980 COVID-19 deaths, while Kenya, by contrast, had reported 691. The population of the UK is around 66 million people, with a median age of 40 — compared with Kenya’s population of 51 million, with a median age of 20.

Corrected for population size, the death toll in Kenya would have been expected to be around 32,000. However, if one also corrects for population structure (assuming that the age-specific death rates in the UK apply to the population structure of Kenya), we would expect around 5,000 deaths. Yet there is still a big difference between 700 and 5,000. What might account for the remaining gap?

Other likely contributors

One possibility is the failure to identify and record deaths.

Kenya, as with most countries, initially had little testing capacity, and specific death registration is challenging. However, Kenya quickly built up its testing capacity and the extra attention to finding deaths makes it unlikely that a gap of this size can be fully accounted for by missing information.

There has been no shortage of ideas for other factors that may be contributing.

A recent multi-country study in Europe on weather reported significant declines in mortality related to higher temperature and humidity. The authors hypothesised that this may be because the mechanisms by which our respiratory tracts clear the virus work better in warmer and more humid conditions. This means that people may be getting less virus particles into their system.

It should be noted, however, that a systematic review of global data — while confirming that warm and wet climates seemed to reduce the spread of COVID-19 — indicated that these variables alone could not explain most of the variability in disease transmission. It’s also important to remember that there’s considerable weather variability throughout Africa. Not all climates are warm or wet and, if they are, they may not stay that way throughout the year.

Other suggestions include the possibility of pre-existing protective immune responses due either to previous exposure to other pathogens or to the BCG vaccination, a vaccine against tuberculosis provided at birth in most African countries. A large global analysis — which involved 55 countries representing 63% of the world’s population — showed significant correlations between increasing BCG coverage at a young age and better patient outcomes in fighting COVID-19.

Genetic factors may also be important. A recently described core haplotype (group of genes) associated with increased risk of severity — present in 30% of South Asian genomes and 8% of Europeans is almost absent in Africa.  

The role of these and other factors, such as potential differences in social structures and mobility, are subject to ongoing investigation.

Effective public health response

An important possibility is that public health response in African countries, honed by previous outbreaks and epidemics, was simply more effective in limiting transmission than in other parts of the world.

However, in Kenya it’s estimated that the epidemic actually peaked in July with around 40% of the population in urban areas having been infected. A similar picture is emerging in other countries. This implies that measures put in place had little effect on viral transmission per se, though it does raise the possibility that herd immunity is now playing a role in limiting further transmission.

At the same time, there is another important possibility: the idea that viral load (the number of virus particles transmitted to a person) is a key determinant of severity. It has been suggested that masks reduce viral load and that their widespread wearing may limit the chances of developing severe disease. While WHO recommends mask wearing, uptake has been variable and has been lower in many European countries, as compared with many parts of Africa.

So is Africa in the clear? Well, obviously not. There is still plenty of virus around and we do not know what may happen as the interaction between the virus and humans evolves.

However, one thing that does seem clear is the secondary effects of the pandemic will be Africa’s real COVID-19 challenge. These stem from the severe interruptions of social and economic activities, as well as the potentially devastating effects of reduced delivery of services which protect millions of people, including routine vaccination, as well as malaria, TB and HIV control programmes.

Further research agendas

Major implications of the emerging picture include the need to re-evaluate COVID-19 research agendas in Africa. While many of the priorities originally identified may still hold, their relative importance is likely to have changed. The key point is to deal with the problems as they are now rather than as they were imagined to be six months ago.  

The same thing applies for public health policy. Of course, basic measures such as hand washing remain essential (regardless of COVID-19) and wearing masks should be continued while there is any level of COVID-19 transmission. However, other measures with broader effects on society, especially restrictions on educational and economic activity, should be under continuous review.

A key point now is to increase surveillance and ensure that flexible responses are driven by high-quality real-time data.The Conversation

This article is republished from The Conversation, a nonprofit news organization dedicated to unlocking ideas from academia, under a Creative Commons license.