COVID-19 in Uganda: Predicting the impact of the disease and public health response on disease burden

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Abstract

Objective COVID-19 transmission and the public health ‘lock-down’ response are now established in sub-Saharan Africa, including Uganda. Population structure and prior morbidities differ markedly between these countries from those where outbreaks were previously established. We predicted the relative impact of COVID-19 and the response in Uganda to understand whether the benefits could be outweighed by the costs. Design and setting Age-based COVID-19 mortality data from China were applied to the population structures of Uganda and countries with previously established outbreaks, comparing theoretical mortality and disability-adjusted life years (DALYs) lost. Based on recent Ugandan data and theoretical scenarios of programme deterioration, we predicted potential additional disease burden for HIV/AIDS, malaria and maternal mortality. Main outcome measures DALYs lost and mortality. Results Based on population age structure alone Uganda is predicted to have a relatively low COVID-19 burden compared to equivalent transmission in China and Western countries, with mortality and DALYs lost predicted to be 12% and 19% that of Italy. Scenarios of ‘lockdown’ impact predict HIV/AIDS and malaria equivalent to or higher than that of an extensive COVID-19 outbreak. Emerging HIV/AIDS and maternal mortality data indicate that such deterioration could be occurring. Conclusions The results predict a relatively low COVID-19 impact on Uganda associated with its young population, with a high risk of negative impact on non-COVID-19 disease burden from a prolonged lockdown response. The results are likely to reflect the situation in other sub-Saharan populations, underlining the importance of tailoring COVID-19 responses to population structure and potential disease vulnerabilities. Transparency statement The lead author affirms that the manuscript is an honest, accurate, and transparent account of the study being reported; that no important aspects of the study have been omitted; and that there are no discrepancies from the study as originally planned.

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License: CC-BY-4.0