MODIS Environmental Data to Assess Chikungunya, Dengue, and Zika Diseases Through Aedes (Stegomia) aegypti Oviposition Activity Estimation
作者： Elizabet Lilia Estallo , Elisabet M. Benitez , Mario Alberto Lanfri , Carlos Marcelo Scavuzzo , Walter R. Almiron
DOI: 10.1109/JSTARS.2016.2604577
关键词: Geography 、 Environmental data 、 Chikungunya 、 Aedes 、 Dengue fever 、 Climatology 、 Outbreak 、 Moderate-resolution imaging spectroradiometer 、 Normalized Difference Vegetation Index 、 Aedes aegypti
摘要: Aedes aegypti is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America it represents a threat our region. Taking into account this situation, several efforts have been done to use remote sensing support public health decision making. Moderate resolution imaging spectroradiometer (MODIS) sensor provides moderate-resolution products; therefore, we explore application of MODIS products vector-borne disease problems Argentina. We develop temporal forecasting models Ae. oviposition, include its validation 2016 Dengue outbreak. Temporal series (10/2005 09/2007) from normalized difference vegetation index diurnal land surface temperature were built. Two linear regression developed: model 1 which uses environmental variables with time lag 2 without lags. Model was best (AIC = 112) high correlation ( $r$ 0.88, p oviposition activity risks -borne diseases. That statement also supported by results when dengue outbreak that started unusually earlier season. If such could be forecast based on data, then potential predicted.
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