Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks
Applied Mathematics in Science and Engineering
; 31(1), 2023.
Article
in English
| Web of Science | ID: covidwho-20245027
ABSTRACT
As COVID-19 is an emerging pandemic, analysing its evolution is necessary to understand it in order to find appropriate answers. In this paper, we aim to observe and analyse it at the Chadian-Senegalese level. Thus, we collect public data in order to present via curves, histograms and tables the main characteristics of this pandemic. In this way, we implement a python program to construct these. We focus only on extracting long-term data without predictive models. We observed that there are mainly two waves (outbreak) per year with stable or even decreasing infection and death rates. We also identified moments of growth and relaxation of the disease. These results can be used to identify times when treatment or prevention should be intensified.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Type of study:
Prognostic study
Language:
English
Journal:
Applied Mathematics in Science and Engineering
Year:
2023
Document Type:
Article
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