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Volumn 6, Issue 1, 2011, Pages 77-84

Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: A geographical information system case study

Author keywords

Dengue fever; Frequency index; Geographical information systems; Getis Ord Gi; Saudi Arabia; Temporal risk

Indexed keywords


EID: 84856065139     PISSN: 18271987     EISSN: 19707096     Source Type: Journal    
DOI: 10.4081/gh.2011.159     Document Type: Article
Times cited : (31)

References (24)
  • 1
    • 77249171831 scopus 로고    scopus 로고
    • Aburas index: A statistically developed index for dengue-transmitting vector population prediction
    • Aburas HM, 2007. Aburas index: a statistically developed index for dengue-transmitting vector population prediction. Proceedings of World Academy of Science, Engineering and Technology 23, 151-154.
    • (2007) Proceedings of World Academy of Science, Engineering and Technology , vol.23 , pp. 151-154
    • Aburas, H.M.1
  • 3
    • 33748657608 scopus 로고    scopus 로고
    • Application of the pupal/demographicsurvey methodology in an area of Havana, Cuba, with low densities of Aedes aegypti
    • Bisset JA, Marquetti MC, Suarez S, Rodriguez MM, Padmanabha H, 2006. Application of the pupal/demographicsurvey methodology in an area of Havana, Cuba, with low densities of Aedes aegypti. Ann Trop Med Parasitol 100, 45-51.
    • (2006) Ann Trop Med Parasitol , vol.100 , pp. 45-51
    • Bisset, J.A.1    Marquetti, M.C.2    Suarez, S.3    Rodriguez, M.M.4    Padmanabha, H.5
  • 4
    • 0003249708 scopus 로고    scopus 로고
    • Disease mapping using the relative risk function estimated from areal data
    • In: Lawson A, Biggeri A, Böhning D, Lesaffre E, Viel J-F, Bertollini R (Eds)., John Wiley & Sons, LTD
    • Bithell JF, 1999. Disease mapping using the relative risk function estimated from areal data. In: Lawson A, Biggeri A, Böhning D, Lesaffre E, Viel J-F, Bertollini R (Eds). Disease Mapping and Risk Assessment for Public Health, John Wiley & Sons, LTD, pp. 247-255.
    • (1999) Disease Mapping and Risk Assessment for Public Health , pp. 247-255
    • Bithell, J.F.1
  • 6
    • 21744460022 scopus 로고    scopus 로고
    • Using autoregressive integrated moving average (arima) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore
    • Earnest A, Chen MI, Ng D, Sin LY, 2005. Using autoregressive integrated moving average (arima) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore. BMC Health Serv Res 5, 36.
    • (2005) BMC Health Serv Res , vol.5 , pp. 36
    • Earnest, A.1    Chen, M.I.2    Ng, D.3    Sin, L.Y.4
  • 7
    • 3042763103 scopus 로고    scopus 로고
    • Dengue in Jeddah, Saudi Arabia, 1994-2002
    • Fakeeh M, Zaki A, 2003. Dengue in Jeddah, Saudi Arabia, 1994-2002. Dengue Bull 27, 13-17.
    • (2003) Dengue Bull , vol.27 , pp. 13-17
    • Fakeeh, M.1    Zaki, A.2
  • 8
    • 54349119628 scopus 로고    scopus 로고
    • Temporal-spatial risk model to identify areas at high-risk for occurrence of dengue fever
    • Galli B, Neto FC, 2008. Temporal-spatial risk model to identify areas at high-risk for occurrence of dengue fever. Rev Sau Pub 42, 656-663.
    • (2008) Rev Sau Pub , vol.42 , pp. 656-663
    • Galli, B.1    Neto, F.C.2
  • 9
    • 84856042252 scopus 로고    scopus 로고
    • Modern infectious disease epidemiology
    • London, UK
    • Giesecke J, 2001. Modern infectious disease epidemiology. Arnold 280, London, UK.
    • (2001) Arnold , vol.280
    • Giesecke, J.1
  • 10
    • 0002540391 scopus 로고    scopus 로고
    • Dengue and dengue hemorrhagic fever: Its history and resurgence as a global public health problem
    • Gubler DJ, 1997. Dengue and dengue hemorrhagic fever: its history and resurgence as a global public health problem. Dengue and Dengue Hemorrhagic Fever, pp. 1-22.
    • (1997) Dengue and Dengue Hemorrhagic Fever , pp. 1-22
    • Gubler, D.J.1
  • 11
    • 0037077864 scopus 로고    scopus 로고
    • Potential effect of population and climate changes on global distribution of dengue fever: An empirical model
    • 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.
    • (2002) Lancet , vol.360 , pp. 830-834
    • Hales, S.1    De Wet, N.2    Maindonald, J.3    Woodward, A.4
  • 12
    • 0346792723 scopus 로고    scopus 로고
    • Dispersal of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in an urban endemic dengue area in the state of Rio de Janeiro, Brazil
    • Honorio NA, Silva WD, Leite PJ, Goncalves JM, Lounibos LP, Lourenco-de-Oliveira R, 2003. Dispersal of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in an urban endemic dengue area in the state of Rio de Janeiro, Brazil. Mem Inst Oswaldo Cruz 98, 191-198.
    • (2003) Mem Inst Oswaldo Cruz , vol.98 , pp. 191-198
    • Honorio, N.A.1    Silva, W.D.2    Leite, P.J.3    Goncalves, J.M.4    Lounibos, L.P.5    Lourenco-de-Oliveira, R.6
  • 13
    • 80053320972 scopus 로고    scopus 로고
    • Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study
    • Khormi H, Kumar L, 2011. Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study. Sci Total Environ 409, 4713-4719.
    • (2011) Sci Total Environ , vol.409 , pp. 4713-4719
    • Khormi, H.1    Kumar, L.2
  • 15
    • 0002991474 scopus 로고    scopus 로고
    • Factors influencing the transmission of dengue viruses
    • Kuno G, 1997. Factors influencing the transmission of dengue viruses. Dengue and Dengue Hemorrhagic Fever, pp. 61-88.
    • (1997) Dengue and Dengue Hemorrhagic Fever , pp. 61-88
    • Kuno, G.1
  • 16
    • 38349170049 scopus 로고    scopus 로고
    • Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguacu, Rio de Janeiro State, Brazil
    • Lagrotta MT, Silva WD, Souza-Santos R, 2008. Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguacu, Rio de Janeiro State, Brazil. Cad Saude Publica 24, 70-80.
    • (2008) Cad Saude Publica , vol.24 , pp. 70-80
    • Lagrotta, M.T.1    Silva, W.D.2    Souza-Santos, R.3
  • 18
    • 54449084292 scopus 로고    scopus 로고
    • Defining health catchments areas in Jeddah city, Saudi Arabia: An example demonstrating the utility of geagraphical information systems
    • Murad A, 2008. Defining health catchments areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geagraphical information systems. Geospat Health 2, 151-160.
    • (2008) Geospat Health , vol.2 , pp. 151-160
    • Murad, A.1
  • 19
    • 34848899604 scopus 로고    scopus 로고
    • Temporal and spatial autocorrelation statistics of dengue fever
    • Nakhapakorn K, Jirakajohnkool S, 2006. Temporal and spatial autocorrelation statistics of dengue fever. Dengue Bull 30, 177-183.
    • (2006) Dengue Bull , vol.30 , pp. 177-183
    • Nakhapakorn, K.1    Jirakajohnkool, S.2
  • 20
    • 14744305346 scopus 로고    scopus 로고
    • The relative attractviness of carbon dioxide and octnol in CDC and EVS-type light traps for sampling the mosquitoes Aedes aegypti (L.), Aedes polynesiensis marks and Culex quinquefasciatus say in Moorea, Franch Polynesia
    • Russell RC, 2004. The relative attractviness of carbon dioxide and octnol in CDC and EVS-type light traps for sampling the mosquitoes Aedes aegypti (L.), Aedes polynesiensis marks and Culex quinquefasciatus say in Moorea, Franch Polynesia. J Vector Ecol 29, 309-314.
    • (2004) J Vector Ecol , vol.29 , pp. 309-314
    • Russell, R.C.1
  • 22
    • 80052073512 scopus 로고    scopus 로고
    • Socio-geographical factors in vulnerability to dengue in Thai villages: A spatial regression analysis
    • Tipayamongkholgul M, Lisakulruk S, 2011. Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis. Geospat Health 5, 191-198.
    • (2011) Geospat Health , vol.5 , pp. 191-198
    • Tipayamongkholgul, M.1    Lisakulruk, S.2
  • 23
    • 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
    • Wen TH, Lin NH, Lin CH, King CC, Su MD, 2006. Spatial mapping of temporal risk characteristics to improve environmental health risk identification: a case study of a dengue epidemic in Taiwan. Sci Total Environ 367, 631-640.
    • (2006) Sci Total Environ , vol.367 , pp. 631-640
    • Wen, T.H.1    Lin, N.H.2    Lin, C.H.3    King, C.C.4    Su, M.D.5
  • 24
    • 33645833429 scopus 로고    scopus 로고
    • On time series analysis of public health and biomedical data
    • Zeger SL, Irizarry R, Peng RD, 2006. On time series analysis of public health and biomedical data. Annu Rev Public Health 27, 57-79.
    • (2006) Annu Rev Public Health , vol.27 , pp. 57-79
    • Zeger, S.L.1    Irizarry, R.2    Peng, R.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.