Regional scale environmental variables complementing a Risk Model of Chagas Disease vectorial transmission

Ximena Porcasi, V. Andreo, Anabella Ferral, Pilar Guimarey, M. Soledad Santini, Cynthia Spillmann, Ricardo Hernandez, Andres Geuna Serra, Exequiel Aguirre

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In thIS study we present advances in the analysis of environmental variables obtained from moderate resolution satellite images and their association with infestation indexes by Triatoma infestans (vector of Chagas disease). The environmental variables considered are the result of climatology and anomalY summaries derived from MODIS sensor time series (products MOD11A2 and MOD13A2) for the period 2000 to 2015), land use from Serena and precipitation from TRMM. The infestation, which was measured at the locality / rural LOCATION level, is expressed as a percentage of households with presence of T. infestans. Data was collected from the National Chagas service. Generalized linear models are proposed to associate the infestation with the environmental variables OBTAINED FROM SATELLITE IMAGES and other local conditions (characteristics of the dwellings and the presence of domestic animals). In general, the environmental variables considered in the models have more influence on Infestation indexes than the locals variables. The variables with the best adjustment were: annual average of LST of the years 2013 and 2015, the NDVI of 2014 and the anomalies of NDVI of the same year. These variables showed higher weights than the variables representing local conditions. From an eco-epidemiological perspective, the usage of products derived from sensors with Medium resolution with national coverage are tools which allow decision makers to generate more accurate responses in less time.

Original languageEnglish
Title of host publication2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Place of PublicationSan Miguel de Tucuman
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781538650325
DOIs
Publication statusPublished - 20 Feb 2019
Event2018 IEEE Biennial Congress of Argentina, ARGENCON 2018 - San Miguel de Tucuman, Argentina
Duration: 6 Jun 20188 Jun 2018
Conference number: 4
https://site.ieee.org/argencon/en/

Conference

Conference2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
Abbreviated titleARGENCON 2018
CountryArgentina
CitySan Miguel de Tucuman
Period6/06/188/06/18
Internet address

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