de la Fuente A. L. C. auteur aut IRD Porcasi X. auteur aut IRD Noireau François auteur aut IRD Diotaiuti L. auteur aut IRD Gorla D. E. auteur aut IRD text journalArticle eng text/pdf born digital access In this Study, predictive models, of geographic distribution patterns of Triatoma pseudomaculata (Tps) and T. wygodzinskyi (Twy) were carried out. They were based oil biophysical variables estimated from information provided by the satellite remote sensors AVHRR (Advanced Very High Resolution Radiometer) and MODIS (MODerate-resolution Imaging Spectroradiometer). Our goal was to analyze the potential geographic distribution of Tps and Twy and to assess the performance of three predictive models (one for each species and one for both species together) based oil temperature, vapour pressure deficit. vegetation and altitude. The geographic distribution analysis shows that all models performed well (>85.7% of overall correct classification of presence and absence point data). The MODIS-based models showed lower correct classifications than the AVHRR-based models. The results strongly suggest that environmental information provided by remote sensors call be successfully used in studies oil the geographic distribution of poorly understood Chagas disease vector species. specialized Triatoma pseudomaculata Triatoma wygodzinskyi Geographic distribution Environmental variables Remote sensing GIS Chagas disease 052 126 9 1 54-61 2009 1567-1348 https://www.documentation.ird.fr/hor/fdi:010044271 10.1016/j.meegid.2008.09.008 1567-1348 [F B010044271] https://www.documentation.ird.fr/hor/fdi:010044271 https://www.documentation.ird.fr/intranet/publi/2009/02/010044271.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2009-03-06 2017-08-23 fdi:010044271 fre