Evaluation and Prediction of COVID-19 Case Fatality Rates from 156 countries

Sep 4, 2022 — Sep 6, 2022
Barcelona, Spain


Background: Understanding the key factors affecting case fatality rates (CFRs) of COVID-19 is essential to guiding national response to pandemics. We aimed to investigate the country and period features of CFR in COVID-19 and predict the changes in CFR.

Method: Cross-temporal and cross-country variations in CFR were identified by Extreme Gradient Boosting models using multiple features, and the effects of features were explained by applying SHapley Additive exPlanations.

Results: The determinants of CFR changed during the COVID-19 pandemic from health conditions to a mixed effect dominated by vaccination rates. Overall, most countries have concurrent risk factors besides the main risk factors, and 156 countries were grouped into five clusters based on key CFR risk factors. A low vaccination rate drove cluster 1 was found primarily in sub-Saharan Africa and Latin America. Aging drove cluster 2, primarily distributed in the high-income European countries, and a high burden of disease characterises cluster 3 and low GDP related cluster 4 were scattered across continents. Furthermore, simulating a 5% increase in vaccination rates resulted in a 31.2% and 15.0% change in CFR for cluster 1 and cluster 3, respectively, but only 3.1% for cluster2.

Conclusion: The features affecting COVID-19 CFRs show diversity across countries, and declining CFRs require more than increasing vaccination coverage."

Yikang Wang
Yikang Wang
PhD Student

Centre for Advanced Spatial Analysis (CASA), UCL