Epidemiological impacts of age structures on human malaria transmission

Fuente: arXiv
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Autori principali: Richard, Quentin, Choisy, Marc, Djidjou-Demasse, Ramsès, Lefèvre, Thierry
Natura: Preprint
Pubblicazione: 2023
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author Richard, Quentin
Choisy, Marc
Djidjou-Demasse, Ramsès
Lefèvre, Thierry
author_facet Richard, Quentin
Choisy, Marc
Djidjou-Demasse, Ramsès
Lefèvre, Thierry
contents Malaria is one of the most common mosquito-borne diseases widespread in tropical and subtropical regions, causing thousands of deaths every year in the world. In a previous paper, we formulated an age-structured model containing three structural variables: (i) the chronological age of human and mosquito populations, (ii) the time since they are infected, and (iii) humans waning immunity (i.e. the progressive loss of protective antibodies after recovery). In the present paper, we expand the analysis of this age-structured model and focus on the derivation of entomological and epidemiological results commonly used in the literature, following the works of Smith and McKenzie. We generalize their results to the age-structured case. In order to quantify the impact of neglecting structuring variables such as chronological age, we assigned values from the literature to our model parameters. While some parameters values are readily accessible from the literature, at least those about the human population, the parameters concerning mosquitoes are less commonly documented and the values of a number of them (e.g. mosquito survival in the presence or in absence of infection) can be discussed extensively.
format Preprint
id arxiv_https___arxiv_org_abs_2310_07275
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Epidemiological impacts of age structures on human malaria transmission
Richard, Quentin
Choisy, Marc
Djidjou-Demasse, Ramsès
Lefèvre, Thierry
Populations and Evolution
Analysis of PDEs
Malaria is one of the most common mosquito-borne diseases widespread in tropical and subtropical regions, causing thousands of deaths every year in the world. In a previous paper, we formulated an age-structured model containing three structural variables: (i) the chronological age of human and mosquito populations, (ii) the time since they are infected, and (iii) humans waning immunity (i.e. the progressive loss of protective antibodies after recovery). In the present paper, we expand the analysis of this age-structured model and focus on the derivation of entomological and epidemiological results commonly used in the literature, following the works of Smith and McKenzie. We generalize their results to the age-structured case. In order to quantify the impact of neglecting structuring variables such as chronological age, we assigned values from the literature to our model parameters. While some parameters values are readily accessible from the literature, at least those about the human population, the parameters concerning mosquitoes are less commonly documented and the values of a number of them (e.g. mosquito survival in the presence or in absence of infection) can be discussed extensively.
title Epidemiological impacts of age structures on human malaria transmission
topic Populations and Evolution
Analysis of PDEs
url https://arxiv.org/abs/2310.07275