An operative dengue risk stratification system in Argentina based on geospatial technology

Geospatial Health

Volumn 6, Issue 3 SUPPL., 2012, Pages

  Porcasi, Ximena ^a   Rotela, Camilo H ^a   Introini, María V ^a   Frutos, Nicolás ^b   Lanfri, Sofía ^a   Peralta, Gonzalo ^a   De Elia, Estefanía A ^a   Lanfri, Mario A ^a   Scavuzzo, Carlos M ^a  

^a Facultad de Ciencias Exactas Físicas y Naturales   (Argentina)

^b Centro Nacional de Diagnóstico e Investigación en Endemo Epidemias   (Argentina)

Author keywords

Argentina; Decision informatics support; Dengue; Geomatics; Risk

Indexed keywords

EID: 84867091209     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2012.120     Document Type: Article

References (45)

1. Arboleda S, Jaramillo N, Peterson AT, 2009. Mapping environmental dimensions of dengue fever transmission risk in the Aburrá Valley, Colombia. Int J Envron Res Public Health 6, 3040-3055.
2. Beck LR, Lobitz BM, Wood BL, 2000. Remote sensing and human health: new sensors and new opportunities. Emerg Infect Dis 6, 217-227.
3. Bejarano JF, 1968. History of urban and wild yellow fever in the Republic of Argentina. Rev Sanid Mil Arg 67, 211-256.
4. Booch G, 1998. Object-oriented analysis and design with applications. Santa Clara. Addison-Wesley Press, 2nd ed.
5. Carbajo AE, Schweigmann N, Curto SI, De Garín A, Bejarán R, 2001. Dengue transmission risk maps of Argentina. Trop Med Int Health 6, 170-183.
6. Carcavallo RU, Martínez A, 1968. Fiebre amarilla, vectores y cadena epidemiológica. Comunicaciones científicas-entomoepidemiología de la República Argentina, investigaciones científicas de las Fuerzas Armadas Argentinas 1, 105-144.
7. Domínguez MC, Ludueña Almeida F, Almirón W, 2000. Dinámica poblacional de Aedes aegypti (Diptera: Culicidae) en Córdoba capital. Rev Soc Ent Argentina 59, 41-50.
8. Estallo EL, Lamfri MA, Scavuzzo CM, Almeida FFL, Introini MV, Zaidenberg M, Almirón WR, 2008. Models for predicting Aedes aegypti larval indices based on satellite images and climatic variables. J Am Mosq Control Assoc 24, 368-376.
9. ESA, 2011. Bssc guides and reports, Ed by European Space Agency, 2011. http://www.esa.int/TEC/Software_engineering_and_standardisation/TECT5CUXBQE_0.html (accessed on July 2012)
10. Estrada-Franco J, Craig G, 1995. Biología, relaciones con enfermedades y control de Aedes albopictus. Cuaderno Técnico 42. Eds OPS, Washington.
11. Flauzino R, Souza-Santos R, Oliveira R, 2009. Dengue, geoprocessamento e indicadores socioeconomicos e ambientais: um estudo de revisao. Rev Panam Salud Publ 25, 456-461.
12. Focks DA, Haile DG, Daniels E, Mount GA, 1993a. Dynamic life table model for Aedes aegypti (Diptera: Culcidae). Analysis of the literature and model development. J Med Entomol 30, 1003-1017.
13. Focks DA, Haile DG, Daniels E, Mount GA, 1993b. Dynamic life table model for Aedes aegypti (Diptera: Culicidae): simulation and validation. J Med Entomol 30, 1018-1028.
14. Hales S, De Wet N, Maindonald J, Woodward A, 2002. Potential effect of population and climate changes on global distribution of dengue fever. An empirical model. Lancet 360, 830-834.
15. Hay SI, 2000. An overview of remote sensing and geodesy for epidemiology and public health application. Adv Parasitol 47, 1-35.
16. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A, 2005. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25, 1965-1978.
17. INDEC, Censo nacional de población y viviendas, 2001. Instituto nacional de estadísticas y censos, Ministerio de Economía, Buenos Aires, Argentina.
18. Khormi HM, Kumar L, Elzahrany RA, 2011. Modeling spatiotemporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study. Geospat Health 6, 77-84.
19. Kitron U, Clennon JA, Cecere MC, Gürtler RE, King CH, Vazquez-Prokopec G, 2006. Upscale or downscale, applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya. Geospat Health 1, 49-58.
20. Marcelhas I, Rodrigues MA, 2011. Uso de imagens de alta resoluçao espacial para análise da diferenciaçao socioespacial em sao josé dos campos. In Anais XV simpósio brasileiro de sensoriamento remoto - remoto (SBSR), 30 Apr - 5 May 2011, Curitiba, PR, Brazil. Edited by Neves Epiphanio and Galvao, 838-846.
21. Martínez-Freiría F, Sillero N, Lizana M, Brito JC, 2008. GISbased niche models identify environmental correlates sustaining a contact zone between three species of european vipers. Divers Distrib 14, 452-461.
22. Martinez Torres E, 2008. Dengue. Estud. av. vol. 22 São Paulo. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-40142008000300004&lng. ISSN 0103-4014.
23. Micieli MV, Campos RE, 2003. Oviposition activity and seasonal pattern of a population of Aedes (Stegomyia) aegypti (L.) (Diptera: Culicidae) in subtropical Argentina. Mem Inst Oswaldo Cruz 98, 659-663.
24. Ministerio de Salud de la Nación, 2010. Situación de dengue en Argentina. Parte de prensa No23. http://www.msal.gov.ar/dengue/partes/Parte23.pdf (accessed on November 2011)
25. Ministerio de Salud de la Nación, 2011. Informe de vigilancia de dengue. Área de vigilancia. Dirección de epidemiología. Dirección de enfermedades transmitidas por vectores. Actualización al 21/01/2011.
26. OPS, 1995. Dengue y dengue hemorrágico en las Américas. Guías para su prevención y control. Publicación Científica N° 548. Washington.
27. Ostfeld RS, Glass GE, Keesing F, 2005. Spatial epidemiology. An emerging (or re-emerging) discipline. Trends Ecol Evol 20, 328-336.
28. Otero M, Schweigmann N, Solari HG, 2008. A stochastic spa tial dynamical model for Aedes aegypti. Bull Math Biol 70, 1297-1325.
29. Phillips S, Anderson R, Schapire R, 2006. Maximum entropy modeling of species geographic distributions. Ecol Model, 190, 231-259.
30. Porcasi X, Calderón G, Lamfri L, Polop J, Sabattini M, Scavuzzo CM, 2005. Predictive distribution maps of zoonoses reservoir rodents in a southern America. Masto Neotrop 12, 199-216.
31. Porcasi X, Catalá SS, Hrellac H, Scavuzzo MC, Gorla DE, 2006. Infestation of rural houses by Triatoma infestans (Hemiptera: Reduviidae) in southern area of Gran Chaco in Argentina. J Med Entomol 43, 1060-1067.
32. Rossi GC, Lestani EA, D'Oria JM, 2006. Nuevos registros y distribución de mosquitos de la Argentina (Diptera: Culicidae). Rev Soc Entomol Argent 65, 51-56.
33. Rotela CH, Fouque F, Lamfri M, Sabatier P, Introini V, Zaidenberg M, Scavuzzo CM, 2007. Space-time analysis of the dengue spreading dynamics in the 2004. Tartagal outbreak, Northern Argentina. Acta Trop 103, 1-13.
34. Rotela CH, Espinosa MO, Albornoz C, Lafaye M, Lacaux JP, Tourre YM, Vignolles MC, Scavuzzo CM, 2010. Desarrollo de mapas predictivos de densidad focal de Aedes aegypti en la ciudad de Puerto Iguazú (Argentina), basados en información ambiental derivada de imágenes Spot 5 HRG1. Revista SELPER 30, ISSN 0717-2915.
35. Rotela CH, Spinsanti LI, Lamfri MA, Contigiani MS, Almirón WR, Scavuzzo CM, 2011. Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotely sensed data. Geospat Health 6, 85-94.
36. Salomón OD, Orellano PW, Lamfri MA, Scavuzzo CM, Dri, L, Farace MI, Quintana DO, 2002. Phlebotominae spatial distribution asssociated with a focus of tegumentary leishmaniasis in Las Lomitas, Formosa, Argentina. Mem Inst Oswaldo Cruz 101, 295-299.
37. Schatzmayr HG, 2000. Dengue situation in Brazil by year. Mem Inst Oswaldo Cruz 95, 179-181.
38. Shuang L, Peng C, 2009. Developing java EE applications based on utilizing design patterns. WASE International Conference on Information Engineering, ICIE, 2 art. 5211375, 398-401.
39. Tatem AJ, Goetz SJ, Hay SI, 2004. Terra and Aqua: new data for epidemiology and public health. Int J Appl Earth Obs 6, 33-46.
40. Tauil PL, 2001. Urbanization and dengue ecology. Cad Saude Publica 17, 99-102.
41. Torkar R, Minoves P, Garrigós J, 2011. Adopting free/libre/open source software practices, techniques and methods for industrial use. J Assoc Inf Syst 12, 88-122.
42. Tran A, Deparis X, Dussart P, Morvan J, Rabarison P, Remy F, Polidori L, Gardon J, 2004. Dengue spatial and temporal patterns, French Guiana. Emerg Infect Dis 10, 615-621.
43. Ullah K, Khan SA, 2011. A review of issue analysis in open source software development. J Theor App Inf Tech, 23, 98-108.
44. Vezzani D, Carbajo AE, 2008. Aedes aegypti, Aedes albopictus, and dengue in Argentina: current knowledge and future directions. Mem Inst Oswaldo Cruz 103, 66-74.
45. Yang K, Sun LP, Huang YX, Yang GJ, Wu F, Hang DR, Li W, Zhang JF, Liang YS, Zhou XN, 2012. A real-time platform for monitoring schistosomiasis transmission supported by Google Earth and a web-based geographical information system. Geospat Health 6, 195-203.