MARATTO

article · Frontiers in Epidemiology

Hierarchical forecasting of COVID-19 cases in Africa using machine learning models

2026Open accessUniversity of Botswana

In plain language

The abstract on record is too brief for a reliable plain-language summary, so none has been generated.

Abstract

It is advisable to apply similar models to other infectious diseases and to expand their use to guide health interventions, resource allocation, and early warning systems in future pandemics.

Research topics

  • COVID-19 epidemiological studies
  • Forecasting Techniques and Applications
  • COVID-19 Pandemic Impacts

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.3389/fepid.2026.1696282

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.