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231214 Mathematical modelling of first HIV/ZIKV co-infection cases Event1 #716938 Seminar 15: Mathematical modelling of the first HIV/ZIKV co-infection cases in Colombia and Brazil. Speaker: Jhoana P. Romero-Leiton, Dec 14, 2023. | Abstract - Dr. Romero-Leiton will present a mathematical model to investigate co-infection with HIV/AIDS and zika virus (ZIKV) in Colombia and Brazil, where the first cases were reported in 2015-2016. The model considers the sexual transmission dynamics of both viruses and vector-host interactions. The model also considers the impact of intervention strategies, such as, personal protection, antiretroviral therapy (ART), and sexual protection. Using available parameter values for Colombia and Brazil, the model is calibrated to predict the potential effect of the intervention strategies on the co-infection spread. Furthermore, it is noted that coinfection with HIV and ZIKV may result in higher rates of HIV transmission and an increased risk of severe congenital disabilities linked to ZIKV infection.This study provides novel insights into the dynamics of HIV/ZIKV co-infection and highlights the importance of integrated intervention strategies in controlling the spread of these viruses, which may impact public health.
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+Citations (2) - CitationsAdd new citationList by: CiterankMapLink[2] Mathematical modelling of the first HIV/ZIKV co-infection cases in Colombia and Brazil
Author: Jhoana P. Romero-Leiton, Idriss Sekkak, Julien Arino, Bouchra Nasri Publication date: 21 September 2023 Publication info: arXiv:2309.12385 [q-bio.PE] Cited by: David Price 7:15 PM 18 January 2024 GMT Citerank: (6) 679759Bouchra NasriProfessor Nasri is a faculty member of Biostatistics in the Department of Social and Preventive Medicine at the University of Montreal. Prof. Nasri is an FRQS Junior 1 Scholar in Artificial Intelligence in Health and Digital Health. She holds an NSERC Discovery Grant in Statistics for time series dependence modelling for complex data.10019D3ABAB, 679817Julien ArinoProfessor and Faculty of Science Research Chair in Fundamental Science with the Department of Mathematics at the University of Manitoba.10019D3ABAB, 701222OMNI – Publications144B5ACA0, 708761HIV859FDEF6, 715588Zika859FDEF6, 716939HIVHIV » Relevance » Zika10000FFFACD URL: DOI: https://doi.org/10.48550/arXiv.2309.12385
| Excerpt / Summary [arXiv, 21 September 2023]
This paper presents a mathematical model to investigate co-infection with HIV/AIDS and zika virus (ZIKV) in Colombia and Brazil, where the first cases were reported in 2015-2016. The model considers the sexual transmission dynamics of both viruses and vector-host interactions. We begin by exploring the qualitative behaviour of each model separately. Then, we analyze the dynamics of the co-infection model using the thresholds and results defined separately for each model. The model also considers the impact of intervention strategies, such as, personal protection, antiretroviral therapy (ART), and sexual protection (condoms use). Using available parameter values for Colombia and Brazil, the model is calibrated to predict the potential effect of implementing combinations of those intervention strategies on the co-infection spread. According to these findings, transmission through sexual contact is a determining factor in the long-term behaviour of these two diseases. Furthermore, it is important to note that co-infection with HIV and ZIKV may result in higher rates of HIV transmission and an increased risk of severe congenital disabilities linked to ZIKV infection. As a result, control measures have been implemented to limit the number of infected individuals and mosquitoes, with the aim of halting disease transmission. This study provides novel insights into the dynamics of HIV/ZIKV co-infection and highlights the importance of integrated intervention strategies in controlling the spread of these viruses, which may impact public health. |
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