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RESEARCH PRODUCT

Joint Estimation of Relative Risk for Dengue and Zika Infections, Colombia, 2015–2016

Antonio López-quílezDaniel Adyro Martínez-belloAlexander Torres Prieto

subject

MaleZika virus diseaseEpidemiologylcsh:MedicineDengue virusmedicine.disease_causeZika virusZika virusDengue feverDengueconditional auto-regressive prior0302 clinical medicineRisk FactorsPrevalence030212 general & internal medicineGeography MedicalChildBayesian modelsbiologyZika Virus InfectionMiddle AgedRandom effects modelmultivariate risk modelsInfectious DiseasesGeographyChild PreschoolFemaleAdultMicrobiology (medical)medicine.medical_specialtyAdolescent030231 tropical medicineColombiaRisk mapsHistory 21st CenturyRisk Assessmentlcsh:Infectious and parasitic diseasesYoung Adult03 medical and health sciencesAge DistributionEnvironmental healthmedicineHumanslcsh:RC109-216Estimationdengue virusResearchPublic healthlcsh:RInfant NewbornInfantBayes Theorembiology.organism_classificationmedicine.diseaseRelative risk

description

We jointly estimated relative risk for dengue and Zika virus disease (Zika) in Colombia, establishing the spatial association between them at the department and city levels for October 2015–December 2016. Cases of dengue and Zika were allocated to the 87 municipalities of 1 department and the 293 census sections of 1 city in Colombia. We fitted 8 hierarchical Bayesian Poisson joint models of relative risk for dengue and Zika, including area- and disease-specific random effects accounting for several spatial patterns of disease risk (clustered or uncorrelated heterogeneity) within and between both diseases. Most of the dengue and Zika high-risk municipalities varied in their risk distribution; those for Zika were in the northern part of the department and dengue in the southern to northeastern parts. At city level, spatially clustered patterns of dengue high-risk census sections indicated Zika high-risk areas. This information can be used to inform public health decision making.

https://doi.org/10.3201/eid2506.180392