Mathematical modelling of the impact of poverty on cholera outbreaks
dc.rights.license | open | en_US |
dc.contributor.author | TCHATAT, Daudel | |
dc.contributor.author | KOLAYE, Gabriel Guilsou | |
hal.structure.identifier | Bordeaux population health [BPH] | |
dc.contributor.author | ALIOUM, Amadou | |
dc.contributor.author | BOWONG, Samuel | |
dc.contributor.author | MAÏROUSGOU, Céline | |
dc.date.accessioned | 2023-12-13T07:54:28Z | |
dc.date.available | 2023-12-13T07:54:28Z | |
dc.date.issued | 2023-10-18 | |
dc.identifier.issn | 0170-4214 | en_US |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/186584 | |
dc.description.abstractEn | In this paper, we propose and analyze a coupled disease-economic model to study the impact of poverty on cholera outbreaks. We consider the stock of capital per effective units of labor, reflecting the effect of the stock of capital on cholera outbreak and transmission. The system has positive bounded solutions. We show that the disease-free equilibrium is globally asymptotically stable whenever ℛ01 ≤ 1 while when ℛ01 > 1 , the disease-free equilibrium is unstable. The sensitivity analysis of the model has been performed in order to determine the impact of related parameters on outbreak severity. We further study various cases for the investment rate upon critical value of the investment in order to describe the effect of poverty on the infected individuals over time. The results we obtained show that increasing of the stock of capital per effective units of labor and the implementation of strategies combining awareness programs and therapeutic treatments will reduce the proportion of the infected population. To verify our analytical results, the numerical simulations on the model are performed. | |
dc.language.iso | EN | en_US |
dc.subject.en | Awareness programs | |
dc.subject.en | Disease-economic | |
dc.subject.en | Labor | |
dc.subject.en | Poverty | |
dc.subject.en | Stock | |
dc.title.en | Mathematical modelling of the impact of poverty on cholera outbreaks | |
dc.title.alternative | Math Method Appl Sci | en_US |
dc.type | Article de revue | en_US |
dc.identifier.doi | 10.1002/mma.9727 | en_US |
dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
bordeaux.journal | Mathematical Methods in the Applied Sciences | en_US |
bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
bordeaux.institution | Université de Bordeaux | en_US |
bordeaux.institution | INSERM | en_US |
bordeaux.team | BIOSTAT_BPH | en_US |
bordeaux.peerReviewed | oui | en_US |
bordeaux.inpress | non | en_US |
hal.identifier | hal-04339453 | |
hal.version | 1 | |
hal.date.transferred | 2023-12-13T07:54:33Z | |
hal.popular | non | en_US |
hal.audience | Internationale | en_US |
hal.export | true | |
dc.rights.cc | Pas de Licence CC | en_US |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Mathematical%20Methods%20in%20the%20Applied%20Sciences&rft.date=2023-10-18&rft.eissn=0170-4214&rft.issn=0170-4214&rft.au=TCHATAT,%20Daudel&KOLAYE,%20Gabriel%20Guilsou&ALIOUM,%20Amadou&BOWONG,%20Samuel&MA%C3%8FROUSGOU,%20C%C3%A9line&rft.genre=article |
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