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Modeling Syphilis and HIV Coinfection: A Case Study in the USA
Syphilis and HIV infections form a dangerous combination. In this paper, we propose an epidemic model of HIV-syphilis coinfection. The model always has a unique disease-free equilibrium, which is stable when both reproduction numbers of syphilis and HIV are less than 1. If the reproduction number of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897625/ https://www.ncbi.nlm.nih.gov/pubmed/36735105 http://dx.doi.org/10.1007/s11538-023-01123-w |
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author | Wang, Cheng-Long Gao, Shasha Li, Xue-Zhi Martcheva, Maia |
author_facet | Wang, Cheng-Long Gao, Shasha Li, Xue-Zhi Martcheva, Maia |
author_sort | Wang, Cheng-Long |
collection | PubMed |
description | Syphilis and HIV infections form a dangerous combination. In this paper, we propose an epidemic model of HIV-syphilis coinfection. The model always has a unique disease-free equilibrium, which is stable when both reproduction numbers of syphilis and HIV are less than 1. If the reproduction number of syphilis (HIV) is greater than 1, there exists a unique boundary equilibrium of syphilis (HIV), which is locally stable if the invasion number of HIV (syphilis) is less than 1. Coexistence equilibrium exists and is stable when all reproduction numbers and invasion numbers are greater than 1. Using data of syphilis cases and HIV cases from the US, we estimated that both reproduction numbers for syphilis and HIV are slightly greater than 1, and the boundary equilibrium of syphilis is stable. In addition, we observed competition between the two diseases. Treatment for primary syphilis is more important in mitigating the transmission of syphilis. However, it might lead to increase of HIV cases. The results derived here could be adapted to other multi-disease scenarios in other regions. |
format | Online Article Text |
id | pubmed-9897625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-98976252023-02-06 Modeling Syphilis and HIV Coinfection: A Case Study in the USA Wang, Cheng-Long Gao, Shasha Li, Xue-Zhi Martcheva, Maia Bull Math Biol Original Article Syphilis and HIV infections form a dangerous combination. In this paper, we propose an epidemic model of HIV-syphilis coinfection. The model always has a unique disease-free equilibrium, which is stable when both reproduction numbers of syphilis and HIV are less than 1. If the reproduction number of syphilis (HIV) is greater than 1, there exists a unique boundary equilibrium of syphilis (HIV), which is locally stable if the invasion number of HIV (syphilis) is less than 1. Coexistence equilibrium exists and is stable when all reproduction numbers and invasion numbers are greater than 1. Using data of syphilis cases and HIV cases from the US, we estimated that both reproduction numbers for syphilis and HIV are slightly greater than 1, and the boundary equilibrium of syphilis is stable. In addition, we observed competition between the two diseases. Treatment for primary syphilis is more important in mitigating the transmission of syphilis. However, it might lead to increase of HIV cases. The results derived here could be adapted to other multi-disease scenarios in other regions. Springer US 2023-02-03 2023 /pmc/articles/PMC9897625/ /pubmed/36735105 http://dx.doi.org/10.1007/s11538-023-01123-w Text en © The Author(s), under exclusive licence to Society for Mathematical Biology 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Wang, Cheng-Long Gao, Shasha Li, Xue-Zhi Martcheva, Maia Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title | Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title_full | Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title_fullStr | Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title_full_unstemmed | Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title_short | Modeling Syphilis and HIV Coinfection: A Case Study in the USA |
title_sort | modeling syphilis and hiv coinfection: a case study in the usa |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897625/ https://www.ncbi.nlm.nih.gov/pubmed/36735105 http://dx.doi.org/10.1007/s11538-023-01123-w |
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