An operative dengue risk stratification system in Argentina based on geospatial technology.
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C. Rotela | X. Porcasi | M. V. Introini | Nicolás Frutos | Sofia Lanfri | G. Peralta | Estefanía A De Elia | M. Lanfri | C. Scavuzzo
[1] History of urban and wild yellow fever in the Republic of Argentina , 1968 .
[2] [History of urban and wild yellow fever in the Republic of Argentina]. , 1968, Revista de la sanidad militar argentina.
[3] Grady Booch,et al. Object-Oriented Analysis and Design with Applications , 1990 .
[4] D. Focks,et al. Dynamic life table model for Aedes aegypti (diptera: Culicidae): simulation results and validation. , 1993, Journal of medical entomology.
[5] D. Focks,et al. Dynamic life table model for Aedes aegypti (Diptera: Culicidae): analysis of the literature and model development. , 1993, Journal of medical entomology.
[6] Paraguay. Dirección General de Estadística,et al. Censo nacional de población y viviendas, 1992 : resumen , 1994 .
[7] M. C. Domínguez,et al. Dinámica poblacional de Aedes aegypti (Diptera: Culicidae) en Córdoba Capital , 2000 .
[8] L. R. Beck,et al. Perspectives Perspectives Perspectives Perspectives Perspectives Remote Sensing and Human Health: New Sensors and New Opportunities , 2022 .
[9] S. Hay. An overview of remote sensing and geodesy for epidemiology and public health application. , 2000, Advances in parasitology.
[10] H. Schatzmayr. Dengue situation in Brazil by year 2000. , 2000, Memorias do Instituto Oswaldo Cruz.
[11] P. L. Tauil,et al. Urbanização e ecologia do dengue , 2001 .
[12] P. Tauil. [Urbanization and dengue ecology]. , 2001, Cadernos de saude publica.
[13] A. E. Carbajo,et al. Dengue transmission risk maps of Argentina , 2001, Tropical medicine & international health : TM & IH.
[14] S. Hales,et al. Potential effect of population and climate changes on global distribution of dengue fever: an empirical model , 2002, The Lancet.
[15] María Victoria Micieli,et al. Oviposition activity and seasonal pattern of a population of Aedes (Stegomyia) aegypti (L.) (Diptera: Culicidae) in subtropical Argentina. , 2003, Memorias do Instituto Oswaldo Cruz.
[16] Laurent Polidori,et al. Dengue Spatial and Temporal Patterns, French Guiana, 2001 , 2004, Emerging infectious diseases.
[17] A. Tatem,et al. Terra and Aqua: new data for epidemiology and public health. , 2004, International journal of applied earth observation and geoinformation : ITC journal.
[18] X. Porcasi,et al. Predictive distribution maps of rodent reservoir species of zoonoses in Southern America , 2005 .
[19] R. Ostfeld,et al. Spatial epidemiology: an emerging (or re-emerging) discipline. , 2005, Trends in ecology & evolution.
[20] J. L. Parra,et al. Very high resolution interpolated climate surfaces for global land areas , 2005 .
[21] G. C. Rossi,et al. Nuevos registros y distribución de mosquitos de la Argentina (Diptera: Culicidae) , 2006 .
[22] U. Kitron,et al. Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya. , 2006, Geospatial health.
[23] Robert P. Anderson,et al. Maximum entropy modeling of species geographic distributions , 2006 .
[24] M. Scavuzzo,et al. Phlebotominae spatial distribution asssociated with a focus of tegumentary leishmaniasis in Las Lomitas, Formosa, Argentina, 2002. , 2006, Memorias do Instituto Oswaldo Cruz.
[25] X. Porcasi,et al. Infestation of Rural Houses by Triatoma Infestans (Hemiptera: Reduviidae) in Southern Area of Gran Chaco in Argentina , 2006, Journal of medical entomology.
[26] C. Rotela,et al. Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina. , 2007, Acta tropica.
[27] Mirta Rosés Periago,et al. Dengue y dengue hemorrágico en las Américas , 2007 .
[28] D. Vezzani,et al. Aedes aegypti, Aedes albopictus, and dengue in Argentina: current knowledge and future directions. , 2008, Memorias do Instituto Oswaldo Cruz.
[29] J. C. Brito,et al. GIS‐based niche models identify environmental correlates sustaining a contact zone between three species of European vipers , 2008 .
[30] M. V. Introini,et al. Models for Predicting Aedes aegypti Larval Indices Based on Satellite Images and Climatic Variables , 2008, Journal of the American Mosquito Control Association.
[31] A. Peterson,et al. Mapping Environmental Dimensions of Dengue Fever Transmission Risk in the Aburrá Valley, Colombia , 2009, International journal of environmental research and public health.
[32] Shuang Liu,et al. Developing Java EE Applications Based on Utilizing Design Patterns , 2009, 2009 WASE International Conference on Information Engineering.
[33] Hassan M. Khormi,et al. Modeling spatio-temporal risk changes in the incidence of Dengue fever in Saudi Arabia: a geographical information system case study. , 2011, Geospatial health.
[34] C. Rotela,et al. Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotely-sensed data. , 2011, Geospatial health.
[35] Richard Torkar,et al. Adopting Free/Libre/Open Source Software Practices, Techniques and Methods for Industrial Use , 2011, J. Assoc. Inf. Syst..
[36] Kareem Ullah,et al. A REVIEW OF ISSUE ANALYSIS IN OPEN SOURCE SOFTWARE DEVELOPMENT , 2011 .
[37] Feng Wu,et al. A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system. , 2012, Geospatial health.