Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia.
The Covid-19 pandemic has challenged both the scientific community and government authorities in Colombia. Both sectors are collaborating to understand the transmission and spread of the virus and to establish control strategies. This study proposes a biomathematical model with difference equations...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0311414 |
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| _version_ | 1850135358288691200 |
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| author | Miguel Alfaro Carlos Rubio Guillermo Fuertes Manuel Vargas Armando Mejia-Giraldo |
| author_facet | Miguel Alfaro Carlos Rubio Guillermo Fuertes Manuel Vargas Armando Mejia-Giraldo |
| author_sort | Miguel Alfaro |
| collection | DOAJ |
| description | The Covid-19 pandemic has challenged both the scientific community and government authorities in Colombia. Both sectors are collaborating to understand the transmission and spread of the virus and to establish control strategies. This study proposes a biomathematical model with difference equations to analyze the transmission of Covid-19 in Santiago de Cali from March 2020 to June 2022. The results indicate that most of the inhabitants could be positive at some point, but with containment measures, a manageable number of symptomatic cases could be maintained. In addition, the cumulative fatality curve is fitted to the Gompertz model. The method used for parameter fitting or estimation was Gauss-Newton. This approach provides valuable information for decision making and pandemic management in the city. |
| format | Article |
| id | doaj-art-d6d28c9fd5eb4e3faeb69be4d8d3e6e7 |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-d6d28c9fd5eb4e3faeb69be4d8d3e6e72025-08-20T02:31:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912e031141410.1371/journal.pone.0311414Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia.Miguel AlfaroCarlos RubioGuillermo FuertesManuel VargasArmando Mejia-GiraldoThe Covid-19 pandemic has challenged both the scientific community and government authorities in Colombia. Both sectors are collaborating to understand the transmission and spread of the virus and to establish control strategies. This study proposes a biomathematical model with difference equations to analyze the transmission of Covid-19 in Santiago de Cali from March 2020 to June 2022. The results indicate that most of the inhabitants could be positive at some point, but with containment measures, a manageable number of symptomatic cases could be maintained. In addition, the cumulative fatality curve is fitted to the Gompertz model. The method used for parameter fitting or estimation was Gauss-Newton. This approach provides valuable information for decision making and pandemic management in the city.https://doi.org/10.1371/journal.pone.0311414 |
| spellingShingle | Miguel Alfaro Carlos Rubio Guillermo Fuertes Manuel Vargas Armando Mejia-Giraldo Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. PLoS ONE |
| title | Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. |
| title_full | Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. |
| title_fullStr | Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. |
| title_full_unstemmed | Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. |
| title_short | Biomathematical model to analyze the transmission dynamics of Covid-19: Case study, Santiago de Cali, Colombia. |
| title_sort | biomathematical model to analyze the transmission dynamics of covid 19 case study santiago de cali colombia |
| url | https://doi.org/10.1371/journal.pone.0311414 |
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