@article{fdi:010092017,
  title = {{O}n the necessity of accounting for age structure in human malaria transmission modeling},
  author = {{R}ichard, {Q}. and {C}hoisy, {M}arc and {L}efevre, {T}. and {D}jidjou-{D}emasse, {R}ams{\`e}s},
  editor = {},
  language = {{ENG}},
  abstract = {{M}alaria is one of the most common mosquito-borne diseases widespread in tropical and subtropical regions, causing thousands of deaths every year in the world. {I}n 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). {I}n 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 {S}mith and {M}c{K}enzie. {W}e generalize their results to the age-structured case. {I}n order to quantify the impact of neglecting structuring variables such as chronological age, we assigned values from the literature to our model parameters. {W}hile 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. {O}ur analysis, informed by parameter values from the literature, demonstrates that overlooking those structural variables of human and mosquito populations may result in inaccurate epidemiological predictions and suboptimal control strategies. {W}e highlight the epidemiological implications of these findings and emphasize the necessity of considering age structure in future malaria control programs.},
  keywords = {{M}alaria modeling ; {E}pidemiology ; {A}ge-structured models ; {M}osquito survival ; {V}ector-borne diseases},
  booktitle = {},
  journal = {{M}athematical {B}iosciences},
  volume = {378},
  numero = {},
  pages = {109319 [21 ]},
  ISSN = {0025-5564},
  year = {2024},
  DOI = {10.1016/j.mbs.2024.109319},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092017},
}