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Geospatial Health|November 15, 2019
Evaluation and planning of Chagas control activities using geospatial toolsDiego Weinberg, Mario Lanfri, Carlos M Scavuzzo, et al.
Geospatial Health|December 2, 2016
Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programmeManuel O Espinosa, Francisco Polop, Camilo H Rotela, et al.
Acta Tropica|May 20, 2018
Modeling Dengue vector population using remotely sensed data and machine learningJuan M Scavuzzo, Francisco Trucco, Manuel Espinosa, et al.
Geospatial Health|November 24, 2011
Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotely-sensed dataCamilo H Rotela, Lorena I Spinsanti, Mario A Lamfri, et al.
Vector Borne and Zoonotic Diseases (Larchmont, N.Y.)|October 8, 2010
Prevention of dengue outbreaks through Aedes aegypti oviposition activity forecasting methodElizabet L Estallo, Francisco F Ludueña-Almeida, Andrés M Visintin, et al.
Journal of the American Mosquito Control Association|October 23, 2008
Models for predicting Aedes aegypti larval indices based on satellite images and climatic variablesElizabet L Estallo, Mario A Lamfri, Carlos M Scavuzzo, et al.
Geospatial Health|December 15, 2017
Analytical report of the 2016 dengue outbreak in Córdoba city, ArgentinaCamilo Rotela, Laura Lopez, María Frías Céspedes, et al.
Geospatial Health|October 4, 2012
An operative dengue risk stratification system in Argentina based on geospatial technologyXimena Porcasi, Camilo H Rotela, María V Introini, et al.
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