Detecting Areas of Potential High Prevalence of Chagas in Argentina

01/02/2020
by   Antonio Vázquez Brust, et al.
0

A map of potential prevalence of Chagas disease (ChD) with high spatial disaggregation is presented. It aims to detect areas outside the Gran Chaco ecoregion (hyperendemic for the ChD), characterized by high affinity with ChD and high health vulnerability. To quantify potential prevalence, we developed several indicators: an Affinity Index which quantifies the degree of linkage between endemic areas of ChD and the rest of the country. We also studied favorable habitability conditions for Triatoma infestans, looking for areas where the predominant materials of floors, roofs and internal ceilings favor the presence of the disease vector. We studied determinants of a more general nature that can be encompassed under the concept of Health Vulnerability Index. These determinants are associated with access to health providers and the socio-economic level of different segments of the population. Finally we constructed a Chagas Potential Prevalence Index (ChPPI) which combines the affinity index, the health vulnerability index, and the population density. We show and discuss the maps obtained. These maps are intended to assist public health specialists, decision makers of public health policies and public officials in the development of cost-effective strategies to improve access to diagnosis and treatment of ChD.

READ FULL TEXT
research
11/21/2019

Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities

Our objective was to develop and test a new concept (affinity) analogous...
research
10/25/2021

Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits

In many public health settings, there is a perceived tension between all...
research
11/23/2018

Construcción de un Mapa de Vulnerabilidad Sanitaria en Argentina a partir de datos públicos

This document is intended to present in detail the processing criteria a...
research
05/28/2022

Visual Perception of Building and Household Vulnerability from Streets

In developing countries, building codes often are outdated or not enforc...
research
04/11/2020

Bayesian modelling for spatially misaligned health areal data: a multiple membership approach

Diabetes prevalence is on the rise in the UK, and for public health stra...
research
08/21/2016

Spatial Modeling of Oil Exploration Areas Using Neural Networks and ANFIS in GIS

Exploration of hydrocarbon resources is a highly complicated and expensi...
research
02/14/2020

Understanding the effects of dichotomization of continuous outcomes on geostatistical inference

Diagnosis is often based on the exceedance or not of continuous health i...

Please sign up or login with your details

Forgot password? Click here to reset