Volume 86, Issue 5
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



This review provides details on the role of Geographical Information Systems (GIS) in current dengue surveillance systems and focuses on the application of open access GIS technology to emphasize its importance in developing countries, where the dengue burden is greatest. It also advocates for increased international collaboration in transboundary disease surveillance to confront the emerging global challenge of dengue.


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  7. Siquiera JB, Celina M, Martelli T, Maciel IJ, Oliveira RM, Ribeiro MG, Amorim FP, Moreira BC, Cardoso DDP, Souza WV, Andrade ALSS, , 2004. Household survey of dengue infection in central Brazil: spatial point pattern analysis and risk factors assessment. Am J Trop Med Hyg 71: 646651.
  8. Nakhapakorn K, Tripathi NK, , 2005. An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence. Int J Health Geogr 4: 13.[Crossref]
  9. Ferriera GS, Schmit AM, , 2006. Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002. Braz J Prob Stat 20: 2947.
  10. Hu W, Clements A, Williams G, Shilu T, , 2009. Climate variability and dengue fever infections in Queensland, Australia. Epidemiology 20: S27S28.[Crossref]
  11. Jeefoo P, Tripathi NK, Souris M, , 2011. Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao Province, Thailand. Int J Environ Res Public Health 8: 5174.[Crossref]
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  14. Eisen L, Coleman M, Lozano-Fuentes S, McEachen N, Orlans M, Coleman M, , 2011. Multi-disease data management system platform for vector-borne diseases. PLoS Negl Trop Dis 5: e1016.[Crossref]
  15. Derraik JGB, Slaney D, Nye ER, Weinstein P, , 2009. Vector-borne disease prevention: the need for a joint South Pacific approach. N Z Med J 122: 712.

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  • Received : 18 Oct 2011
  • Accepted : 27 Jan 2012

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