@article{fdi:010049355,
  title = {{T}oward an early warning system for dengue prevention : modeling climate impact on dengue transmission},
  author = {{D}{\'e}gallier, {N}icolas and {F}avier, {C}. and {M}enk{\`e}s, {C}hristophe and {L}engaigne, {M}atthieu and {R}amalho, {W}. {M}. and {S}ouza, {R}. and {S}ervain, {J}acques and {B}oulanger, {J}ean-{P}hilippe},
  editor = {},
  language = {{ENG}},
  abstract = {{D}engue fever is the most prevalent mosquito-borne viral disease of humans in tropical lands. {A}s an efficient vaccine is not yet available, the only means to prevent epidemics is to control mosquito populations. {T}hese are influenced by human behavior and climatic conditions and thus, need constant effort and are very expansive. {E}xamples of succeeded prevention are rare because of the continuous reintroduction of virus or vector from outside, or growing resistance of mosquito populations to insecticides. {C}limate variability and global warming are other factors which may favour epidemics of dengue. {D}uring a pilot study in {C}laris {EC} project, a model for the transmission of dengue was built, to serve as a tool for estimating the risk of epidemic transmission and eventually forecasting the risk under climatic change scenarios. {A}n ultimate objective would be to use the model as an early warning system with meteorological forecasts as input, thus allowing better decision making and prevention.},
  keywords = {},
  booktitle = {},
  journal = {{C}limatic {C}hange},
  volume = {98},
  numero = {3-4},
  pages = {581--592},
  ISSN = {0165-0009},
  year = {2010},
  DOI = {10.1007/s10584-009-9747-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010049355},
}