@article{fdi:010078087,
  title = {{C}omplementarity of empirical and process-based approaches to modelling mosquito population dynamics with {A}edes albopictus as an example : application to the development of an operational mapping tool of vector populations},
  author = {{T}ran, {A}. and {M}angeas, {M}organ and {D}emarchi, {M}. and {R}oux, {E}mmanuel and {D}egenne, {P}. and {H}aramboure, {M}. and {L}e {G}off, {G}ilbert and {D}amiens, {D}avid and {G}ouagna, {L}ouis-{C}l{\'e}ment and {H}erbreteau, {V}incent and {D}ehecq, {J}. {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}osquitoes are responsible for the transmission of major pathogens worldwide. {M}odelling their population dynamics and mapping their distribution can contribute effectively to disease surveillance and control systems. {T}wo main approaches are classically used to understand and predict mosquito abundance in space and time, namely empirical (or statistical) and process-based models. {I}n this work, we used both approaches to model the population dynamics in {R}eunion {I}sland of the '{T}iger mosquito', {A}edes albopictus, a vector of dengue and chikungunya viruses, using rainfall and temperature data. {W}e aimed to i) evaluate and compare the two types of models, and ii) develop an operational tool that could be used by public health authorities and vector control services. {O}ur results showed that {A}e. albopictus dynamics in {R}eunion {I}sland are driven by both rainfall and temperature with a non-linear relationship. {T}he predictions of the two approaches were consistent with the observed abundances of {A}e. albopictus aquatic stages. {A}n operational tool with a user-friendly interface was developed, allowing the creation of maps of {A}e. albopictus densities over the whole territory using meteorological data collected from a network of weather stations. {I}t is now routinely used by the services in charge of vector control in {R}eunion {I}sland.},
  keywords = {{REUNION}},
  booktitle = {},
  journal = {{PL}o{S} {O}ne},
  volume = {15},
  numero = {1},
  pages = {art. e0227407 [21p.]},
  ISSN = {1932-6203},
  year = {2020},
  DOI = {10.1371/journal.pone.0227407},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078087},
}