@article{fdi:010055662,
  title = {{A} climate-driven abundance model to assess mosquito control strategies},
  author = {{C}ailly, {P}. and {T}ran, {A}. and {B}alenghien, {T}. and {L}'{A}mbert, {G}. and {T}oty, {C}{\'e}line and {E}zanno, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}s mosquitoes are vectors of major pathogens worldwide, the control of mosquito populations is one way to fight vector-borne diseases. {T}he objectives of our study were to develop a tool to predict mosquito abundance over time, identify the main determinants of mosquito population dynamics, and assess mosquito control strategies. {W}e developed a generic, mechanistic, climate-driven model of seasonal mosquito population dynamics that can be run over several years because it takes diapause into account. {B}oth aquatic and adult stages are considered, resulting in 10 model compartments: eggs, larvae, and pupae for juveniles; emergent, nulliparous, and parous for adults, the latter two broken down into host-seeking, resting, and ovipositing adults. {W}e then applied the model to {A}nopheles species of southern {F}rance, some of which (nulliparous adults) overwinter. {W}e defined specific transition functions and parameter values for these species and this geographical area based on a literature review. {O}ur model correctly predicted entomological field data. {C}ontrol points in the model were related to mortality rates of adults, the sex-ratio at emergence, parameters related to development functions and the number of eggs laid by females. {L}astly, we used our model to compare the efficiency of mosquito control strategies targeting larvae. {W}e found that a larvicide spraying at regular time intervals acted as a preventive measure against mosquito emergence, and that such a strategy was more efficient than spraying only when the abundance of host-seeking females reached a given threshold. {T}he proposed model can be applied easily to other mosquito species and geographic areas by adapting transition functions and parameter values.},
  keywords = {{C}limate-driven model ; {P}opulation dynamics ; {C}ontrol strategy ; {S}ensitivity analysis ; {M}osquito ; {A}nopheles ; {FRANCE} ; {CAMARGUE}},
  booktitle = {},
  journal = {{E}cological {M}odelling},
  volume = {227},
  numero = {},
  pages = {7--17},
  ISSN = {0304-3800},
  year = {2012},
  DOI = {10.1016/j.ecolmodel.2011.10.027},
  URL = {https://www.documentation.ird.fr/hor/fdi:010055662},
}