# A Collaborative Approach to the Analysis of the COVID-19 Response in Africa

arXiv: https://arxiv.org/abs/2210.01882 · HTML: https://mlsanity.com/paper/2210.01882/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 4 Oct 2022.

## Abstract (arXiv)

The COVID-19 crisis has emphasized the need for scientific methods such as machine learning to speed up the discovery of solutions to the pandemic. Harnessing machine learning techniques requires quality data, skilled personnel and advanced compute infrastructure. In Africa, however, machine learning competencies and compute infrastructures are limited. This paper demonstrates a cross-border collaborative capacity building approach to the application of machine learning techniques in discovering answers to COVID-19 questions.