@article{fdi:010086103,
  title = {{B}ayesian spatial modelling of malaria burden in two contrasted eco-epidemiological facies in {B}enin ({W}est {A}frica) : call for localized interventions},
  author = {{D}amien, {B}. {G}. and {S}ode, {A}. {I}. and {B}ocossa, {D}. and {E}langa-{N}dille, {E}. and {A}guemon, {B}. and {C}orbel, {V}incent and {H}enry, {M}. {C}. and {K}akai, {R}. {L}. {G}. and {R}emou{\'e}, {F}ranck},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground {D}espite a global decrease in malaria burden worldwide, malaria remains a major public health concern, especially in {B}enin children, the most vulnerable group. {A} better understanding of malaria's spatial and age-dependent characteristics can help provide durable disease control and elimination. {T}his study aimed to analyze the spatial distribution of {P}lasmodium falciparum malaria infection and disease among children under five years of age in {B}enin, {W}est {A}frica. {M}ethods {A} cross-sectional epidemiological and clinical survey was conducted using parasitological examination and rapid diagnostic tests ({RDT}) in {B}enin. {I}nterviews were done with 10,367 children from 72 villages across two health districts in {B}enin. {T}he prevalence of infection and clinical cases was estimated according to age. {A} {B}ayesian spatial binomial model was used to estimate the prevalence of malaria infection, and clinical cases were adjusted for environmental and demographic covariates. {I}t was implemented in {R} using {I}ntegrated {N}ested {L}aplace {A}pproximations ({INLA}) and {S}tochastic {P}artial {D}ifferentiation {E}quations ({SPDE}) techniques. {R}esults {T}he prevalence of {P}. falciparum infection was moderate in the south (34.6%) of {B}enin and high in the northern region (77.5%). {I}n the south, the prevalence of {P}. falciparum infection and clinical malaria cases were similar according to age. {I}n northern {B}enin children under six months of age were less frequently infected than children aged 6-11, 12-23, 24-60 months, (p < 0.0001) and had the lowest risk of malaria cases compared to the other age groups (6-12), (13-23) and (24-60): {OR} = 3.66 [2.21-6.05], {OR} = 3.66 [2.21-6.04], and {OR} = 2.83 [1.77-4.54] respectively (p < 0.0001). {S}patial model prediction showed more heterogeneity in the south than in the north but a higher risk of malaria infection and clinical cases in the north than in the south. {C}onclusion {I}ntegrated and periodic risk mapping of {P}lasmodium falciparum infection and clinical cases will make interventions more evidence-based by showing progress or a lack in malaria control.},
  keywords = {{M}alaria ; {R}isk mapping ; {P}lasmodium falciparum ; {D}ecision-making ; {INLA} ; {BENIN}},
  booktitle = {},
  journal = {{BMC} {P}ublic {H}ealth},
  volume = {22},
  numero = {1},
  pages = {1754 [15 p.]},
  year = {2022},
  DOI = {10.1186/s12889-022-14032-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086103},
}