A Theoretical Assessment of the Effects of Hospital Resources on a Host-vector Disease

This paper provides a mathematical analysis of a host vectors disease model with the influence of available hospital resources. We derive the basic reproduction num- ber Rh 0 of the model. We prove the existence of a unique disease-free equilibrium, which is stable when the basic reproduction number Rh 0 is less than 1, indicating that the disease can be eradicated under these conditions. However, when Rh 0 exceeds 1, the system ex- hibits multiple endemic equilibria, leading to the possible persistence of the disease into the population. The study also reveals the existence of bifurcations, indicating qualitative changes in the system’s dynamics depending on certain critical parameter values. A sensi- tivity analysis of the parameters is carried out to assess the most influential parameters in managing the epidemic.

Publication Details

Journal
Annals of Communications in Mathematics
Published
2025-01-01
DOI
https://doi.org/10.62072/acm.2025.080112
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

A Theoretical Assessment of the Effects of Hospital Resources on a Host-vector Disease

Annals of Communications in Mathematics
Mosquito-borne diseases and control
article

A Theoretical Assessment of the Effects of Hospital Resources on a Host-vector Disease

article en

Abstract

This paper provides a mathematical analysis of a host vectors disease model with the influence of available hospital resources. We derive the basic reproduction num- ber Rh 0 of the model. We prove the existence of a unique disease-free equilibrium, which is stable when the basic reproduction number Rh 0 is less than 1, indicating that the disease can be eradicated under these conditions. However, when Rh 0 exceeds 1, the system ex- hibits multiple endemic equilibria, leading to the possible persistence of the disease into the population. The study also reveals the existence of bifurcations, indicating qualitative changes in the system’s dynamics depending on certain critical parameter values. A sensi- tivity analysis of the parameters is carried out to assess the most influential parameters in managing the epidemic.

Annals of Communications in Mathematics
Openalex Percentile: Top 91%
Mosquito-borne diseases and control
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