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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.creator | Estallo, Elizabet Lilia | - |
| dc.creator | Benitez, Elisabet Marina | - |
| dc.creator | Lanfri, Mario Alberto | - |
| dc.creator | Scavuzzo, Carlos Marcelo | - |
| dc.creator | Almiron, Walter Ricardo | - |
| dc.date | 2018-04-18T13:32:39Z | - |
| dc.date | 2018-04-18T13:32:39Z | - |
| dc.date | 2016-12 | - |
| dc.date | 2018-04-04T14:41:32Z | - |
| dc.date.accessioned | 2019-04-29T15:31:12Z | - |
| dc.date.available | 2019-04-29T15:31:12Z | - |
| dc.date.issued | 2016-12 | - |
| dc.identifier | Estallo, Elizabet Lilia; Benitez, Elisabet Marina; Lanfri, Mario Alberto; Scavuzzo, Carlos Marcelo; Almiron, Walter Ricardo; MODIS environmental data to assess Chikungunya, Dengue and Zika diseases through Aedes (Stegomia) aegypti oviposition activity estimation; Institute of Electrical and Electronics Engineers; Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing; 9; 12; 12-2016; 5461-5466 | - |
| dc.identifier | 1939-1404 | - |
| dc.identifier | http://hdl.handle.net/11336/42412 | - |
| dc.identifier | 2151-1535 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/295636 | - |
| dc.description | Aedes aegypti is the main vector for Chikungunya, Dengue, and Zika viruses in Latin America and it represents a main threat for our region. Taking into account this situation, several efforts have been done to use remote sensing to support public health decision making. Moderate resolution imaging spectroradiometer (MODIS) sensor provides moderate-resolution remote sensing products; therefore, we explore the application of MODIS products to vector-borne disease problems in Argentina. We develop temporal forecasting models of Ae. aegypti oviposition, and we include its validation and its application to the 2016 Dengue outbreak. Temporal series (10/2005 to 09/2007) from MODIS products of normalized difference vegetation index and diurnal land surface temperature were built. Two linear regression models were developed: model 1 which uses environmental variables with time lag and model 2 uses environmental variables without time lags. Model 2 was the best model (AIC = 112) with high correlation (r = 0.88, p < 0.05) between observed and predicted data. We can suggest that MODIS products could be a good tool for estimating both Ae. aegypti oviposition activity and risks for Ae. aegypti-borne diseases. That statement is also supported by model results for 2016 when a dengue outbreak that started unusually earlier this season. If such activity could be forecast by a model based on remote sensing data, then a potential outbreak could be predicted. | - |
| dc.description | Fil: Estallo, Elizabet Lilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina | - |
| dc.description | Fil: Benitez, Elisabet Marina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina | - |
| dc.description | Fil: Lanfri, Mario Alberto. Comision Nacional de Actividades Espaciales; Argentina | - |
| dc.description | Fil: Scavuzzo, Carlos Marcelo. Comision Nacional de Actividades Espaciales; Argentina | - |
| dc.description | Fil: Almiron, Walter Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Centro de Investigaciones Entomológicas de Córdoba; Argentina | - |
| dc.format | application/pdf | - |
| dc.format | application/msword | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7576620/?reload=true | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/JSTARS.2016.2604577 | - |
| dc.rights | info:eu-repo/semantics/restrictedAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.subject | DISEASES | - |
| dc.subject | ENVIRONMENTAL FACTORS | - |
| dc.subject | EPIDEMIOLOGY | - |
| dc.subject | FORECASTING | - |
| dc.subject | IMAGE PROCESSING | - |
| dc.subject | IMAGE SENSORS | - |
| dc.subject | Otras Ciencias Biológicas | - |
| dc.subject | Ciencias Biológicas | - |
| dc.subject | CIENCIAS NATURALES Y EXACTAS | - |
| dc.title | MODIS environmental data to assess Chikungunya, Dengue and Zika diseases through Aedes (Stegomia) aegypti oviposition activity estimation | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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