On the necessity of accounting for age structure in human malaria transmission modeling - Institut de Mathématiques et de Modélisation de Montpellier
Article Dans Une Revue Mathematical Biosciences Année : 2024

On the necessity of accounting for age structure in human malaria transmission modeling

Résumé

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.
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Dates et versions

hal-04231975 , version 1 (10-10-2023)
hal-04231975 , version 2 (21-05-2024)
hal-04231975 , version 3 (10-11-2024)

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Quentin Richard, Marc Choisy, Thierry Lefèvre, Ramsès Djidjou-Demasse. On the necessity of accounting for age structure in human malaria transmission modeling. Mathematical Biosciences, 2024, ⟨10.1016/j.mbs.2024.109319⟩. ⟨hal-04231975v3⟩
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