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Volumn 27, Issue 9, 2011, Pages 1809-1818

Predicting the number of cases of dengue infection in Ribeirão Preto, São Paulo State, Brazil, using a SARIMA model;Previsão do número de casos de dengue em Ribeirão Preto, São Paulo, Brasil, por um modelo SARIMA

Author keywords

Brostatistics; Dengue; Forecasting

Indexed keywords

ALGORITHM; ARTICLE; BRAZIL; DENGUE; EVALUATION; FORECASTING; HUMAN; INCIDENCE; METHODOLOGY; REPRODUCIBILITY; SEASON; STATISTICAL MODEL; TIME;

EID: 80053896829     PISSN: 0102311X     EISSN: 16784464     Source Type: Journal    
DOI: 10.1590/S0102-311X2011000900014     Document Type: Article
Times cited : (37)

References (40)
  • 1
    • 0037899478 scopus 로고    scopus 로고
    • Dengue fever in Brazilian adults and children: Assessment of clinical findings and their validity for diagnosis
    • Nunes-Araújo FRF, Ferreira MS, Nishioka SA. Dengue fever in Brazilian adults and children: assessment of clinical findings and their validity for diagnosis. Ann Trop Med Parasitol 2003; 97:415-9.
    • (2003) Ann Trop Med Parasitol , vol.97 , pp. 415-419
    • Nunes-Araújo, F.R.F.1    Ferreira, M.S.2    Nishioka, S.A.3
  • 3
    • 0026564083 scopus 로고
    • The XXth century dengue pandemic: Need for surveillance and research
    • Halstead SB. The XXth century dengue pandemic: need for surveillance and research. World Health Stat Q 1992; 45:292-8.
    • (1992) World Health Stat Q , vol.45 , pp. 292-298
    • Halstead, S.B.1
  • 7
    • 0026833446 scopus 로고
    • Estudo sobre o diagnóstico laboratorial e sintomas do dengue, durante epidemia ocorrida na região de Ribeirão Preto, SP, Brasil
    • Figueiredo LTM, Owa MA, Carlucci RH, Oliveira L. Estudo sobre o diagnóstico laboratorial e sintomas do dengue, durante epidemia ocorrida na região de Ribeirão Preto, SP, Brasil. Rev Inst Med Trop São Paulo 1992; 34:121-30.
    • (1992) Rev Inst Med Trop São Paulo , vol.34 , pp. 121-130
    • Figueiredo, L.T.M.1    Owa, M.A.2    Carlucci, R.H.3    Oliveira, L.4
  • 22
    • 2942690195 scopus 로고    scopus 로고
    • Time series analysis in epidemiology: An introduction to methodological aspects
    • Latorre MRDO, Cardoso MRA. Time series analysis in epidemiology: an introduction to methodological aspects. Rev Bras Epidemiol 2001; 4:145-52.
    • (2001) Rev Bras Epidemiol , vol.4 , pp. 145-152
    • Latorre, M.R.D.O.1    Cardoso, M.R.A.2
  • 25
    • 84857996223 scopus 로고    scopus 로고
    • A combined forecast model: An application to the monthly series of dengue reports in Pernambuco state-Brazil
    • Cordeiro DM, Cordeiro GM. A combined forecast model: an application to the monthly series of dengue reports in Pernambuco state-Brazil. Revista de Matemática e Estatística 2004; 22:57-80.
    • (2004) Revista De Matemática E Estatística , vol.22 , pp. 57-80
    • Cordeiro, D.M.1    Cordeiro, G.M.2
  • 26
    • 77949771773 scopus 로고    scopus 로고
    • Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters
    • Soebiyanto RP, Adimi F, Kiang RK. Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters. PLoS One 2010; 5:e9450.
    • (2010) PLoS One , vol.e9450 , pp. 5
    • Soebiyanto, R.P.1    Adimi, F.2    Kiang, R.K.3
  • 27
    • 46149098354 scopus 로고    scopus 로고
    • One-year delayed effect of fog on malaria transmission: A time-series analysis in the rain forest area of Mengla County, south-west China
    • Tian L, Bi Y, Ho SC, Liu W, Liang S, Goggins WB, et al. One-year delayed effect of fog on malaria transmission: a time-series analysis in the rain forest area of Mengla County, south-west China. Malar J 2008; 7:110.
    • (2008) Malar J , vol.7 , pp. 110
    • Tian, L.1    Bi, Y.2    Ho, S.C.3    Liu, W.4    Liang, S.5    Goggins, W.B.6
  • 29
    • 34848887795 scopus 로고    scopus 로고
    • Forecasting dengue haemorrhagic fever cases in Southern Thailand using ARIMA Models
    • Promprou S, Jaroensutasinee M, Jaroensutasinee K. Forecasting dengue haemorrhagic fever cases in Southern Thailand using ARIMA Models. Dengue Bull 2006; 30:99-106.
    • (2006) Dengue Bull , vol.30 , pp. 99-106
    • Promprou, S.1    Jaroensutasinee, M.2    Jaroensutasinee, K.3
  • 30
    • 70350043695 scopus 로고    scopus 로고
    • Predicting DHF incidence in Northern Thailand using time series analysis technique. World Academy of Science
    • Wongkoon S, Pollar M, Jaroensutasinee M, Jaroensutasinee K. Predicting DHF incidence in Northern Thailand using time series analysis technique. World Academy of Science, Engineering and Technology 2007; 26:216-20.
    • (2007) Engineering and Technology , vol.26 , pp. 216-220
    • Wongkoon, S.1    Pollar, M.2    Jaroensutasinee, M.3    Jaroensutasinee, K.4
  • 32
    • 70350062084 scopus 로고    scopus 로고
    • Forecasting dengue incidence in Dhaka, Bangladesh: A time series analysis
    • Choudhury MAHZ, Banu S, Islam MA. Forecasting dengue incidence in Dhaka, Bangladesh: a time series analysis. Dengue Bull 2008; 32:99-106.
    • (2008) Dengue Bull , vol.32 , pp. 99-106
    • Choudhury, M.A.H.Z.1    Banu, S.2    Islam, M.A.3
  • 33
    • 70349505264 scopus 로고    scopus 로고
    • Time series analysis: Forecasting and control
    • 4th Ed. New York: John Wiley & Sons
    • Box G, Jenkins G. Time series analysis: forecasting and control. 4th Ed. New York: John Wiley & Sons; 2008.
    • (2008)
    • Box, G.1    Jenkins, G.2
  • 34
    • 0035975951 scopus 로고    scopus 로고
    • Dynamic linear model and SARIMA: A comparison of their forecasting performance in epidemiology
    • Nobre FF, Monteiro AB, Telles PR, Williamson GD. Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiology. Stat Med 2001; 20:3051-69.
    • (2001) Stat Med , vol.20 , pp. 3051-3069
    • Nobre, F.F.1    Monteiro, A.B.2    Telles, P.R.3    Williamson, G.D.4
  • 35
    • 0017799296 scopus 로고
    • Interpreting partial autocorrelation functions of seasonal time series models
    • Hamilton DC, Watts DG. Interpreting partial autocorrelation functions of seasonal time series models. Biometrika 1978; 65:135-40.
    • (1978) Biometrika , vol.65 , pp. 135-140
    • Hamilton, D.C.1    Watts, D.G.2
  • 36
    • 0007790921 scopus 로고
    • Characterization of the partial autocorrelation function
    • Ramsey FL. Characterization of the partial autocorrelation function. Ann Stat 1974; 2:1296-301.
    • (1974) Ann Stat , vol.2 , pp. 1296-1301
    • Ramsey, F.L.1
  • 37
    • 0017846358 scopus 로고
    • On a measure of lack of fit in time series models
    • Ljung GM, Box GEP. On a measure of lack of fit in time series models. Biometrika 1978; 65:297-303.
    • (1978) Biometrika , vol.65 , pp. 297-303
    • Ljung, G.M.1    Box, G.E.P.2
  • 40
    • 0031753106 scopus 로고    scopus 로고
    • Use of time-series analysis in infectious disease surveillance
    • Allard R. Use of time-series analysis in infectious disease surveillance. Bull World Health Organ 1998; 76:327-33.
    • (1998) Bull World Health Organ , vol.76 , pp. 327-333
    • Allard, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.