@article{fdi:010055688,
  title = {{M}odeling the influence of local environmental factors on malaria transmission in {B}enin and its implications for cohort study},
  author = {{C}ottrell, {G}illes and {K}ouwaye, {B}ienvenue and {P}ierrat, {C}harlotte and {L}e {P}ort, {A}gn{\`e}s and {B}ouraima, {A}. and {F}onton, {N}. and {H}ounkonnou, {M}. {N}. and {M}assougbodji, {A}. and {C}orbel, {V}incent and {G}arcia, {A}ndr{\'e}},
  editor = {},
  language = {{ENG}},
  abstract = {{M}alaria remains endemic in tropical areas, especially in {A}frica. {F}or the evaluation of new tools and to further our understanding of host-parasite interactions, knowing the environmental risk of transmission-even at a very local scale-is essential. {T}he aim of this study was to assess how malaria transmission is influenced and can be predicted by local climatic and environmental factors. {A}s the entomological part of a cohort study of 650 newborn babies in nine villages in the {T}ori {B}ossito district of {S}outhern {B}enin between {J}une 2007 and {F}ebruary 2010, human landing catches were performed to assess the density of malaria vectors and transmission intensity. {C}limatic factors as well as household characteristics were recorded throughout the study. {S}tatistical correlations between {A}nopheles density and environmental and climatic factors were tested using a three-level {P}oisson mixed regression model. {T}he results showed both temporal variations in vector density (related to season and rainfall), and spatial variations at the level of both village and house. {T}hese spatial variations could be largely explained by factors associated with the house's immediate surroundings, namely soil type, vegetation index and the proximity of a watercourse. {B}ased on these results, a predictive regression model was developed using a leave-one-out method, to predict the spatiotemporal variability of malaria transmission in the nine villages. {T}his study points up the importance of local environmental factors in malaria transmission and describes a model to predict the transmission risk of individual children, based on environmental and behavioral characteristics.},
  keywords = {{BENIN}},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {7},
  numero = {1},
  pages = {e28812},
  ISSN = {1932-6203},
  year = {2012},
  DOI = {10.1371/journal.pone.0028812},
  URL = {https://www.documentation.ird.fr/hor/fdi:010055688},
}