# Visualization and machine learning for forecasting of COVID-19 in Senegal

arXiv: https://arxiv.org/abs/2008.03135 · HTML: https://mlsanity.com/paper/2008.03135/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Aug 2020.

## Built on by (most cited first, 1 of 1)

- [Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities](https://mlsanity.com/paper/2408.02575/) (2024)

## Abstract (arXiv)

In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its airspace doors, while the number of confirmed cases is still increasing. The population no longer respects hygiene measures, social distancing as at the beginning of the contamination. Negligence or tiredness to always wear the masks? We make forecasting on the inflection point and possible ending time.