PREDICTION OF JAPANESE ENCEPHALITIS VECTORS IN KURNOOL DISTRICT OF ANDHRA PRADESH, INDIA BY USING BAYESIAN NETWORK

REFERENCES

• Abramson , B. , J. Brown , W. Edwards , A. Murphy , and R. Winkler . 1996 . Hailfinder: A Bayesian system for forecasting severe weather . International Journal of Forecasting 12 : 57 – 72 .
   Web of Science ®Google Scholar
• Bockhorst , J. , M. Craven , D. Page , J. Shavlik , and J. Glasner . 2003 . Bayesian network approach to operon prediction . Bioinformatics 19 : 1227 – 1235 .
   Google Scholar
• Cancre , N. , A. Tall , C. Rogier , J. Faye , O. Sarr , J. Trape , A. Spiegel , and A. Bois . 2000 . Bayesian analysis of an epidemiologic model of plasmodium falciparum malaria infection in Ndiop, Senegal . American Journal of Epidemiology 152 : 760 – 770 .
   PubMed Web of Science ®Google Scholar
• Carabin , H. , M. Escalona , C. Marshall , S. Vivas-Martínez , C. Botto , L. Joseph , and M. G. Basáñez . 2003 . Prediction of community prevalence of human onchocerciasis in the Amazonian onchocerciasis focus: Bayesian approach . Bulletin of the World Health Organization 81 : 482 – 490 .
   PubMedGoogle Scholar
• Dunson , D. B. and D. D. Baird . 2001 . A flexible parametric model for combining current status and age at first diagnosis data . Biometrics 57 : 396 – 403 .
   Google Scholar
• Gajanana , A. , R. Rajendran , and V. Thenmozhi . 1995 . Comparative evaluation of bioassay and ELISA for detection of Japanese encephalitis virus in field collected mosquitoes . Southeast Asian Journal of Tropical Medicine and Public Health 26 : 91 – 97 .
   Google Scholar
• Heckerman , D. 1991 . Probabilistic Similarity Networks. Cambridge : MIT Press .
   Google Scholar
• Tsui , F. , J. Espino , V. Dato , P. Gesteland , J. Hutman , and M. Wagner . 2003 . A real time public health surveillance system . Journal of American Medical Informatics Association 10 : 399 – 408 .
   PubMedGoogle Scholar