Parasites & Vectors · 2019 · 97 citations · 48 references
Veterinary MedicineDemographyInfectious DiseasesEpidemiologyInfectious Disease EpidemiologySocial Determinants Of HealthChagas DiseaseDisease EpidemiologyNeglected Tropical DiseasesSocial EpidemiologySocial VulnerabilitySocioeconomic Determinants Of HealthDisease Transmission Within HouseholdsDisease Vulnerability AssessmentSocial Vulnerability IndexSocio-demographic InequalitiesTropical Infectious DiseasesTrypanosoma Cruzi InfectionVector-borne Pathogen TransmissionVector-borne Transmission Risk
BACKGROUND: The social determinants of health (SDHs) condition disease distribution and the ways they are handled. Socio-economic inequalities are closely linked to the occurrence of neglected tropical diseases, but empirical support is limited in the case of Chagas disease, caused by the protozoan Trypanosoma cruzi. Herein we assessed the relationship between key structural SDHs and the risk of T. cruzi vector-borne transmission in rural communities of the Argentine Chaco occupied by creoles and an indigenous group (Qom). We used multiple correspondence analysis to quantify the household-level socio-economic position (social vulnerability and assets indices), access to health and sanitation services, and domestic host availability. We identified the most vulnerable population subgroups by comparing their demographic profiles, mobility patterns and distribution of these summary indices, then assessed their spatial correlation and household-level effects on vector domiciliary indices as transmission risk surrogates. RESULTS: Qom households had higher social vulnerability and fewer assets than creoles, as did local movers and migrant households compared with non-movers. We found significantly positive effects of social vulnerability and domestic host availability on infected Triatoma infestans abundance, after adjusting for ethnicity. Access to health and sanitation services had no effect on transmission risk. Only social vulnerability displayed significant global spatial autocorrelation up to 1 km. A hotspot of infected vectors overlapped with an aggregation of most vulnerable households. CONCLUSIONS: This synthetic approach to assess socio-economic related inequalities in transmission risk provides key information to guide targeted vector control actions, case detection and treatment of Chagas disease, towards sustainability of interventions and greater reduction of health inequalities.
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