@article{fdi:010055758,
  title = {{D}ry season determinants of malaria disease and net use in {B}enin, {W}est {A}frica},
  author = {{M}oiroux, {N}icolas and {B}oussari, {O}. and {D}jenontin, {A}. and {D}amien, {G}. and {C}ottrell, {G}illes and {H}enry, {M}.{C}. and {G}uis, {H}. and {C}orbel, {V}incent},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {T}o achieve malaria eradication, control efforts have to be sustained even when the incidence of malaria cases becomes low during the dry season. {I}n this work, malaria incidence and its determinants including bed net use were investigated in children of under 5 years of age in 28 villages in southern {B}enin during the dry season. {M}ethods and {F}indings: {M}ean malaria clinical incidence was measured in children aged 0-5 years by active case detection in 28 villages of the {O}uidah-{K}pomasse-{T}ori {B}ossito sanitary district between {N}ovember 2007 and {M}arch 2008. {U}sing {P}oisson mixed-effect models, malaria incidence was assessed according to the level of transmission by different vector species, and {L}ong-{L}asting {I}nsecticide-treated mosquito {N}ets ({LLIN}) use and ownership. {T}hen, a {B}inomial mixed-effect model was developed to assess whether nighttime temperature (derived from {MODIS} remote sensing data), biting nuisance and {LLIN} ownership are good predictors of {LLIN} use >60%. {R}esults suggested that {A}nopheles funestus ({I}ncidence {R}ates {R}atio ({IRR}) = 3.38 [{IC}95 1.91-6]) rather than {A}n. gambiae s.s. is responsible for malaria transmission. {A} rate of {LLIN} use >60% was associated with a lower risk of malaria ({IRR} = 0.6 [{IC}95 0.37-0.99]). {L}ow nocturnal temperature and high biting nuisance were good predictors of {LLIN} use >60%. {C}onclusions: {A}s recommended by the {M}alaria {E}radication ({M}al{ERA}) {C}onsultative {G}roup on {M}odelling, there is a need to understand better the effects of seasonality on malaria morbidity. {T}his study highlights the need to take into account the specificity of malaria epidemiology during the dry-hot season and get a better understanding of the factors that influence malaria incidence and net use. {T}hese findings should help {N}ational {M}alaria {C}ontrol {P}rogrammes to implement more effective and sustainable malaria control strategies in {A}frica.},
  keywords = {},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {7},
  numero = {1},
  pages = {e30558},
  ISSN = {1932-6203},
  year = {2012},
  DOI = {10.1371/journal.pone.0030558},
  URL = {https://www.documentation.ird.fr/hor/fdi:010055758},
}