Impact of segregation and integration on infection dynamics: analysis of a Cholera model in a two-population system

Abstract We present a novel dynamic model designed to depict Cholera outbreaks within a two-population framework featuring two environmental reservoirs. The model is designed to emulate the impact of segregation or integration between two populations on the transmission of the disease and infections throughout the entire community, both with and without non-medicinal interventions. This is achieved by allowing infectious individuals to interact with the reservoir of the alternate population at different levels of suppression, in addition to their regular interaction with their own reservoir. We find out that increased suppression of cross community interaction reduces the number of infections in the overall population as well as in the population with less contamination and contact. Additionally, we predict significant delays in the occurrence of peak infections, affording public health authorities crucial time for intervention. Lowering cross-immunity interactions also leads to a decrease in bacterial concentrations in environmental reservoirs. Finally, we demonstrate that non-medicinal interventions, including sanitation and water purification, would significantly reduce and delay infections, providing a valuable time frame for implementing additional medicinal measures.

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Publication Details

Journal
Physica Scripta
Published
2024-08-22
DOI
https://doi.org/10.1088/1402-4896/ad72b4
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.40
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article

Impact of segregation and integration on infection dynamics: analysis of a Cholera model in a two-population system

Omar El Deeb, Antoine Matar
1 citations
Physica Scripta
COVID-19 epidemiological studies
0.40
article

Impact of segregation and integration on infection dynamics: analysis of a Cholera model in a two-population system

Omar El Deeb, Antoine Matar
article en
1 citations

Abstract

Abstract We present a novel dynamic model designed to depict Cholera outbreaks within a two-population framework featuring two environmental reservoirs. The model is designed to emulate the impact of segregation or integration between two populations on the transmission of the disease and infections throughout the entire community, both with and without non-medicinal interventions. This is achieved by allowing infectious individuals to interact with the reservoir of the alternate population at different levels of suppression, in addition to their regular interaction with their own reservoir. We find out that increased suppression of cross community interaction reduces the number of infections in the overall population as well as in the population with less contamination and contact. Additionally, we predict significant delays in the occurrence of peak infections, affording public health authorities crucial time for intervention. Lowering cross-immunity interactions also leads to a decrease in bacterial concentrations in environmental reservoirs. Finally, we demonstrate that non-medicinal interventions, including sanitation and water purification, would significantly reduce and delay infections, providing a valuable time frame for implementing additional medicinal measures.

Physica ScriptaVol. 99(10)
University of Warwick (GB), Lebanese American University (LB)
Clean water and sanitation
Openalex Percentile: Top 42%
COVID-19 epidemiological studies
0.40
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