A Covid-19 Data Analysis During the First Five Months in Senegal

Autor:	Python Ndekou Tandong Paul, Hamidou Dathe
Rok vydání:	2021
Předmět:	Coronavirus disease 2019 (COVID-19) Outbreak Christian ministry Statistical analysis Biology Demography
Zdroj:	Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869595 ICCSA (2)
Popis:	In this paper, we present an analysis of Covid-19 data during the first 138 days in Senegal. The data come from the website of the Ministry of Health and Social Action. We build a database with R and Python scripts helping to carry out data analysis for answering questions that support decision-makers. We compute the basic reproduction rate with the collected data using the SIRD model approach (susceptible, infected, recovered, death). Results show that there are two phases in the evolution of infected cases, 4.75% are between the first day of the Covid-19 outbreak and the 50th day, 95.25% are between the 51st day and the 138th day corresponding to the period of the reopening of airports. The average value of the basic reproduction rate during the first 138 days is 2.77. We observed a strong correlation between infected cases and community infected cases. The obtained results could help decision-makers to evaluate the statistical evolution of infected persons.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c0cdec57a3ec1eca70fa9d29dc3c194a https://doi.org/10.1007/978-3-030-86960-1_41 Zobrazit plný text záznamu