Impact of contamination factors on the COVID-19 evolution in Senegal
Vieux Medoune Ndiaye, Serigne Omar Sarr, Babacar Mbaye Ndiaye

TL;DR
This study analyzes how various environmental and demographic factors influence COVID-19 spread in Senegal, providing insights into why Africa has lower contamination levels and offering predictions for future trends.
Contribution
It investigates multiple contamination factors affecting COVID-19 in Senegal and includes numerical simulations to forecast short-term evolution.
Findings
Lower contamination in Africa linked to specific factors
Temperature and population density influence virus spread
Predictions suggest upcoming trends in Senegal
Abstract
In this article, we perform an analysis of COVID-19 on one of the South Saharan countries (hot zone), the Senegal (West Africa). Many questions remain unanswered: why the African continent is not very contaminated compared to other continents. Factors of cross immunity, temperature, population density, youth, etc. are taken into account for an analysis of the contamination factors. Numerical simulations are carried out for a prediction over the coming week.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 epidemiological studies
