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Volumn , Issue , 2010, Pages 361-366

Spatial mapping of temporal risk characteristic of dengue cases in Subang Jaya

Author keywords

dengue fever; geographic information system; spatial risk assessment

Indexed keywords

CORRELATION COEFFICIENT; DENGUE FEVER; DISTRIBUTION PATTERNS; FREQUENCY INDEX; GEOGRAPHIC INFORMATION; HIGH FREQUENCY; MEAN VALUES; PUBLIC HEALTH; RISK CHARACTERISTICS; RISK INDICES; SPATIAL ANALYSIS; SPATIAL MAPPING; SPATIAL RISK ASSESSMENT; STRONG CORRELATION; TEMPORAL CHARACTERISTICS; TIME CHARACTERISTICS; VIRAL DISEASE; VISUAL ANALYSIS;

EID: 79959647359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSR.2010.5773800     Document Type: Conference Paper
Times cited : (15)

References (24)
  • 1
    • 79959636121 scopus 로고    scopus 로고
    • DHF in the central plain of Thailand. Remote sensing and GIS to identify factors and indicators related to dengue transmission
    • n. d.
    • Barbazan, P. (n. d.). DHF in the Central Plain of Thailand. Remote Sensing and GIS to identify factors and indicators related to dengue transmission. The Chao Phraya Delta:Historical Development, Dynamics and Challenges of Thailand, 1-12.
    • The Chao Phraya Delta: Historical Development, Dynamics and Challenges of Thailand , pp. 1-12
    • Barbazan, P.1
  • 2
    • 40149095727 scopus 로고    scopus 로고
    • Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city
    • Chiaravalloti-Neto, A. M. (2008). Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city. Science of The Total Environment, 241-248.
    • (2008) Science of the Total Environment , pp. 241-248
    • Chiaravalloti-Neto, A.M.1
  • 3
    • 2442657585 scopus 로고    scopus 로고
    • Use of remote sensing and geographical information systems to identify environmental features that influence the distribution of paramphistomosis in sheep from the southern Italian Apennines
    • DOI 10.1016/j.vetpar.2004.03.011, PII S0304401704001244
    • G. Cringoli, R. T. (2004). Use of remote sensing and geographical information systems to identify environmental features that influence the distribution of paramphistomosis in sheep from the southern Italian Apennines. Veterinary Parasitology, 15-26. (Pubitemid 38670344)
    • (2004) Veterinary Parasitology , vol.122 , Issue.1 , pp. 15-26
    • Cringoli, G.1    Taddei, R.2    Rinaldi, L.3    Veneziano, V.4    Musella, V.5    Cascone, C.6    Sibilio, G.7    Malone, J.B.8
  • 4
    • 33846557975 scopus 로고    scopus 로고
    • Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases
    • DOI 10.1007/s11427-006-2015-0
    • Gong, P., Xu, B., & Liang, S. (2006). Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases. Science in China Series C: Life Sciences, 573-582. (Pubitemid 46155722)
    • (2006) Science in China, Series C: Life Sciences , vol.49 , Issue.6 , pp. 573-582
    • Gong, P.1    Xu, B.2    Liang, S.3
  • 5
    • 79959670905 scopus 로고    scopus 로고
    • Remote sensing in unravelling complex association between physical environment and spatial classes of emerging viral disease
    • Haja Andrianasolo, S. Y.-P. (2001). Remote Sensing In Unravelling Complex Association Between Physical Environment And Spatial Classes Of Emerging Viral Disease. 22nd Asian Conference on Remote Sensing.
    • (2001) 22nd Asian Conference on Remote Sensing
    • Andrianasolo, H.S.Y.-P.1
  • 6
    • 34848899604 scopus 로고    scopus 로고
    • Temporal and spatial autocorrelation statistics of dengue fever
    • Jirakajohnkool, K. N. (2006). Temporal and Spatial Autocorrelation Statistics of Dengue Fever. Dengue Bulletin, 177-183.
    • (2006) Dengue Bulletin , pp. 177-183
    • Jirakajohnkool, K.N.1
  • 7
    • 25444490159 scopus 로고    scopus 로고
    • An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence
    • Kanchana, N., & Tripathi, N. K. (2005). An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence. International Journal of Health Geographics, 4-13.
    • (2005) International Journal of Health Geographics , pp. 4-13
    • Kanchana, N.1    Tripathi, N.K.2
  • 8
    • 79960583882 scopus 로고    scopus 로고
    • Application of GIS modelling for dengue fever prone area based on socio-cultural and environmental factors - A case study of delhi city zone. The international archive of the photogrammetry
    • Krishna Prasad Bandari, P. R. (2008). Application Of GIS Modelling For Dengue Fever Prone Area Based On Socio-cultural and Environmental Factors-A Case Study Of Delhi City Zone. The international Archive of The Photogrammetry, Remote Sensing and Spatial information Sciences, 165-170.
    • (2008) Remote Sensing and Spatial Information Sciences , pp. 165-170
    • Krishna Prasad Bandari, P.R.1
  • 13
    • 0041826738 scopus 로고    scopus 로고
    • Use of GIS to study the epidemiology of dengue haemorrhagic fever in Thailand
    • Ratana Sithiprasasna, K. J. (1997). Use of GIS to Study The Epidemiology of Dengue Haemorrhagic Fever In Thailand. Dengue Bulletin, 68-73.
    • (1997) Dengue Bulletin , pp. 68-73
    • Ratana Sithiprasasna, K.J.1
  • 14
    • 0009739008 scopus 로고
    • Mosquito-borne haemorrhagic fever in Malaya
    • Rudnick, A. T. (1965). Mosquito-borne haemorrhagic fever in Malaya. British Medical Journal, 1269-1272.
    • (1965) British Medical Journal , pp. 1269-1272
    • Rudnick, A.T.1
  • 15
    • 33646382572 scopus 로고    scopus 로고
    • GIS, geostatistics, metadata banking, and tree-based models for data analysis and mapping in environmental monitoring and epidemiology
    • DOI 10.1016/j.ijmm.2006.02.015, PII S143842210600097X
    • Schroder, W. (2006). GIS, geostatistics, metadata banking, and treebased models for data analysis and mapping in environmental monitoring and epidemiology. International Journal of Medical Microbiology, 23-36. (Pubitemid 43668601)
    • (2006) International Journal of Medical Microbiology , vol.296 , Issue.SUPPL. 1 , pp. 23-36
    • Schroder, W.1
  • 16
    • 44949197703 scopus 로고    scopus 로고
    • Entomological studies for surveillance and prevention of dengue in arid and semi-arid districts of Rajasthan, India
    • Sharma, K., Angel, B., Singh, H., Purohit, A., & Joshi, V. (2008). Entomological studies for surveillance and prevention of dengue in arid and semi-arid districts of Rajasthan, India. J Vector Borne Dis, 124-132. (Pubitemid 351809288)
    • (2008) Journal of Vector Borne Diseases , vol.45 , Issue.2 , pp. 124-132
    • Sharma, K.1    Angel, B.2    Singh, H.3    Purohit, A.4    Joshi, V.5
  • 17
    • 0009749096 scopus 로고
    • Dengue fever in Penang
    • Skae, F. (1902). Dengue fever in Penang. British Medical Journal, 1581-1582.
    • (1902) British Medical Journal , pp. 1581-1582
    • Skae, F.1
  • 18
    • 0012362182 scopus 로고    scopus 로고
    • The use of GIS in ovitrap monitoring for dengue control in Singapore
    • Song, G. T.-l. (2000). The Use of GIS in Ovitrap Monitoring for Dengue Control in Singapore. Dengue Bulletin, 110-116.
    • (2000) Dengue Bulletin , pp. 110-116
    • Song, G.T.-L.1
  • 19
    • 25444490159 scopus 로고    scopus 로고
    • An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence
    • Tripathi, K. N. (2005). An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence. International Journal of Health Geographics, 4-13.
    • (2005) International Journal of Health Geographics , pp. 4-13
    • Tripathi, K.N.1
  • 20
    • 33746265360 scopus 로고    scopus 로고
    • Spatial mapping of temporal risk characteristics to improve environmental health risk identification: A case study of a dengue epidemic in Taiwan
    • Tzai-Hung Wen, N. H.-H.-C.-D. (2006). Spatial mapping of temporal risk characteristics to improve environmental health risk identification: A case study of a dengue epidemic in Taiwan. Science of the Total Environment, 631-640.
    • (2006) Science of the Total Environment , pp. 631-640
    • Wen, T.-H.N.H.-H.1
  • 21
    • 0033740262 scopus 로고    scopus 로고
    • Fuzzy objects for geographical information systems
    • Valerie Crossa, A. F. (2000). Fuzzy objects for geographical information systems. Fuzzy Sets and Systems, 19-36.
    • (2000) Fuzzy Sets and Systems , pp. 19-36
    • Valerie Crossa, A.F.1
  • 22
    • 79959657949 scopus 로고    scopus 로고
    • Spatial-temporal patterns of dengue in areas at risk of dengue hemorrhagic fever in Kaohsiung, Taiwan, 2002
    • Wen T-H, (2009). Spatial-temporal patterns of dengue in areas at risk of dengue hemorrhagic fever in Kaohsiung, Taiwan, 2002. int J infect Dis.
    • (2009) Int J Infect Dis
    • Wen, T.-H.1
  • 23
    • 33748440084 scopus 로고    scopus 로고
    • An observation on correlation between rainfall and the prevalence of clinical cases of dengue in Thailand
    • Wiwanitkit, V. (2006). An observation on correlation between rainfall and the prevalence of clinical cases of dengue in Thailand. J Vect Borne Dis, 73-76. (Pubitemid 44341964)
    • (2006) Journal of Vector Borne Diseases , vol.43 , Issue.2 , pp. 73-76
    • Wiwanitkit, V.1
  • 24
    • 60649116930 scopus 로고    scopus 로고
    • Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan
    • Wu, P. C. (2009). Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan. Science of The Total Environment.
    • (2009) Science of the Total Environment
    • Wu, P.C.1


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