Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks
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 mai...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Applied Mathematics in Science and Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/27690911.2023.2214302 |
| _version_ | 1797641004569853952 |
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| author | Yaya Youssouf Yaya Mamadou Sy Diab Ahmad Diab |
| author_facet | Yaya Youssouf Yaya Mamadou Sy Diab Ahmad Diab |
| author_sort | Yaya Youssouf Yaya |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T13:39:20Z |
| format | Article |
| id | doaj.art-5efff7ca8d3543e69a6885d700d8a551 |
| institution | Directory Open Access Journal |
| issn | 2769-0911 |
| language | English |
| last_indexed | 2024-03-11T13:39:20Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Applied Mathematics in Science and Engineering |
| spelling | doaj.art-5efff7ca8d3543e69a6885d700d8a5512023-11-02T13:48:32ZengTaylor & Francis GroupApplied Mathematics in Science and Engineering2769-09112023-12-0131110.1080/27690911.2023.22143022214302Analysis and contrast of Chadian-Senegalese Covid-19 outbreaksYaya Youssouf Yaya0Mamadou Sy1Diab Ahmad Diab2Université Assane Seck de ZiguinchorUniversité Gaston-Berger de Saint-LouisÉcole Normale Supérieure de N'djaménaAs 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.http://dx.doi.org/10.1080/27690911.2023.2214302outbreakcovid-19data compilationfitting curvefourier analysisperiodic signal |
| spellingShingle | Yaya Youssouf Yaya Mamadou Sy Diab Ahmad Diab Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks Applied Mathematics in Science and Engineering outbreak covid-19 data compilation fitting curve fourier analysis periodic signal |
| title | Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks |
| title_full | Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks |
| title_fullStr | Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks |
| title_full_unstemmed | Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks |
| title_short | Analysis and contrast of Chadian-Senegalese Covid-19 outbreaks |
| title_sort | analysis and contrast of chadian senegalese covid 19 outbreaks |
| topic | outbreak covid-19 data compilation fitting curve fourier analysis periodic signal |
| url | http://dx.doi.org/10.1080/27690911.2023.2214302 |
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