@article{fdi:010024074,
  title = {{B}ayesian analysis of an epidemiologic model of {P}lasmodium falciparum malaria infection in {N}diop, {S}enegal},
  author = {{C}ancr{\'e}, {N}. and {T}all, {A}. and {R}ogier, {C}. and {F}aye, {J}. and {S}arr, {O}. and {T}rape, {J}ean-{F}ran{\c{c}}ois and {S}piegel, {A}. and {B}ois, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}lasmodium falciparum has a complex transmission cycle. {P}ublic health planning and research would benefit from the ability of a calibrated model to predict the epidemiologic characteristics of populations living in areas of malaria endemicity. {T}his paper describes the application of {B}ayesian calibration to a malaria transmission model using longitudinal data gathered from 176 subjects in {N}diop, {S}enegal, from {J}uly 1, 1993, to {J}uly 31, 1994. {T}he model was able to adequately predict {P}. falciparum parasitemia prevalence in the study population. {F}urther insight into dynamics of malaria in {N}diop was provided. {D}uring the dry season, the estimated fraction of noimmune subjects goes down to 20% and then increases up to 80%. {T}he model-predicted time-weighted average incidences contributed by nonimmune and immune individuals are 0.52 cases per day and 0.47 cases per day, respectively. {T}he median times needed to acquire infection (conversion delay) for nonimmune and immune individuals are estimated at 39 days and 285 days, respectively.},
  keywords = {{PALUDISME} ; {EPIDEMIOLOGIE} ; {TRANSMISSION} ; {PARASITE} ; {MOUSTIQUE} ; {VECTEUR} ; {IMMUNITE} ; {MODELISATION} ; {MODELE} {MATHEMATIQUE} ; {ANALYSE} {STATISTIQUE} ; {TRAITEMENT} {MEDICAL} ; {TECHNIQUE} {NUMERIQUE} {BAYESIENNE} ; {QUININE} ; {SENEGAL} ; {NDIOP}},
  booktitle = {},
  journal = {{A}merican {J}ournal of {E}pidemiology},
  volume = {152},
  numero = {8},
  pages = {760--770},
  ISSN = {0002-9262},
  year = {2000},
  DOI = {10.1093/aje/152.8.760},
  URL = {https://www.documentation.ird.fr/hor/fdi:010024074},
}