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Volumn 86, Issue 5, 2012, Pages 753-755

Review: Geographical information systems for dengue surveillance

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; DECISION SUPPORT SYSTEM; DENGUE; DEVELOPING COUNTRY; DISEASE SURVEILLANCE; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HEALTH PRACTITIONER; HUMAN; MORBIDITY; REVIEW; THAILAND; VECTOR CONTROL; ACCESS TO INFORMATION; HEALTH SURVEY; INSTRUMENTATION; STATISTICS;

EID: 84861829384     PISSN: 00029637     EISSN: None     Source Type: Journal    
DOI: 10.4269/ajtmh.2012.11-0650     Document Type: Review
Times cited : (46)

References (15)
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    • Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue
    • Eisen L, Lozano-Fuentes S, 2009. Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue. PLoS Negl Trop Dis 3: e411.
    • (2009) PLoS Negl Trop Dis , vol.3
    • Eisen, L.1    Lozano-Fuentes, S.2
  • 3
    • 79951948124 scopus 로고    scopus 로고
    • Free and simple GIS as appropriate for health mapping in a low resource setting: A case study in eastern Indonesia
    • Fisher FP, Myers BA, 2011. Free and simple GIS as appropriate for health mapping in a low resource setting: a case study in eastern Indonesia. Int J Health Geogr 10: 15.
    • (2011) Int J Health Geogr , vol.10 , pp. 15
    • Fisher, F.P.1    Myers, B.A.2
  • 8
    • 25444490159 scopus 로고    scopus 로고
    • An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence
    • 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.
    • (2005) Int J Health Geogr , vol.4 , pp. 13
    • Nakhapakorn, K.1    Tripathi, N.K.2
  • 9
    • 60449097988 scopus 로고    scopus 로고
    • Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002
    • 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: 29-47.
    • (2006) Braz J Prob Stat , vol.20 , pp. 29-47
    • Ferriera, G.S.1    Schmit, A.M.2
  • 10
    • 84861806374 scopus 로고    scopus 로고
    • Climate variability and dengue fever infections in Queensland, Australia
    • Hu W, Clements A, Williams G, Shilu T, 2009. Climate variability and dengue fever infections in Queensland, Australia. Epidemiology 20: S27-S28.
    • (2009) Epidemiology , vol.20
    • Hu, W.1    Clements, A.2    Williams, G.3    Shilu, T.4
  • 11
    • 79851482605 scopus 로고    scopus 로고
    • Spatio-temporal diffusion pattern and hotspot detection of dengue in Chachoengsao Province, Thailand
    • 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: 51-74.
    • (2011) Int J Environ Res Public Health , vol.8 , pp. 51-74
    • Jeefoo, P.1    Tripathi, N.K.2    Souris, M.3
  • 15
    • 68149183639 scopus 로고    scopus 로고
    • Vectorborne disease prevention: The need for a joint South Pacific approach
    • Derraik JGB, Slaney D, Nye ER, Weinstein P, 2009. Vectorborne disease prevention: the need for a joint South Pacific approach. N Z Med J 122: 7-12.
    • (2009) N Z Med J , vol.122 , pp. 7-12
    • Derraik, J.G.B.1    Slaney, D.2    Nye, E.R.3    Weinstein, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.