Discovering spatio-temporal models of the spread of West Nile Virus

Risk Analysis

Volumn 26, Issue 2, 2006, Pages 413-422

  Orme Zavaleta, Jennifer ^a   Jorgensen, Jane ^b   D'Ambrosio, Bruce ^b   Altendorf, Eric ^b   Rossignol, Philippe A ^c  

^a U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^b Cleverset Inc   (United States)

^c OREGON STATE UNIVERSITY   (United States)

Author keywords

Community model; Infectious disease; Integrated risk analysis; Probabilistic; Relational model; West Nile virus

Indexed keywords

DISEASES; HEALTH CARE; PROBABILITY; REGIONAL PLANNING; VIRUSES;

COMMUNITY MODEL; INFECTIOUS DISEASE; INTEGRATED RISK ANALYSIS; RELATIONAL MODEL; WEST NILE VIRUS;

MATHEMATICAL MODELS;

EPIDEMIOLOGY; INFECTIOUS DISEASE; VIRUS;

ARTICLE; BAYES THEOREM; BIRD; DATA ANALYSIS; HEALTH CARE ORGANIZATION; HEALTH SURVEY; HOST; MICROBIAL POPULATION DYNAMICS; MODEL; MORBIDITY; MORTALITY; OBSERVATIONAL STUDY; ORGANISM COMMUNITY; PROBABILITY; PUBLIC HEALTH SERVICE; UNITED STATES; VIRUS TRANSMISSION; WEST NILE FLAVIVIRUS;

ANIMALS; BAYES THEOREM; BIRDS; DISEASE OUTBREAKS; DISEASE RESERVOIRS; HUMANS; MARYLAND; MODELS, BIOLOGICAL; RISK; WEST NILE FEVER; WEST NILE VIRUS;

AVES; WEST NILE VIRUS;

EID: 33645278687     PISSN: 02724332     EISSN: 15396924     Source Type: Journal    
DOI: 10.1111/j.1539-6924.2006.00738.x     Document Type: Article

References (32)

1. Daszak P. Cunningham A. A. & Hyatt A. D. 2000 Emerging infectious diseases of wildlife - Threats to biodiversity and human health Science 287 443 449
2. Levins R. Awerbuch T. Bnnkmann U. Eckardt I. Epstein P. Makhoul N. DePossas C. A. Puccia C. Spielman A. & Wilson M. E. 1994 The emergence of new diseases - Lessons learned from the emergence of new diseases and the resurgence of old ones may help us prepare for future epidemics American Scientist 82 52 60
3. Morens D. M. Folkers G. K. & Fauci A. S. 2004 The challenge of emerging and re-emerging infectious diseases Nature 430 242 249
4. Centers for Disease Control and Prevention (CDC) 2003 West Nile activity - US. November 20-25, 2003 Morbidity and Mortality Weekly Report 52 1160
5. Komar N. 2000 West Nile viral encephalitis Revue Scientifique et Technique de L'Office International Des Epizooties 19 166 176
6. Epstein P. R. 1994 Framework for an integrated assessment of climate change and ecosystem vulnerability In Wilson M. E. Levins R. & Spielman A. Eds Disease in Evolution: Global Changes and Emergence of Infectious Diseases pp 423 435 New York New York Academy of Science
7. Patz J. A. Epstein P. R. Burke T. A. & Balbus J. M. 1996 Global climate change and emerging infectious disease Journal of the American Medical Association 275 217 223
8. National Research Council (NRC) National Academy of Sciences Institute of Medicine Lederberg J. Shope R. E. & Oaks Jr. S. E. Eds 1992 Committee on Emerging Microbial Threats to Health pp 34 112 Washington, DC: National Academy Press
9. Wilson M. 1995 Travel and the emergence of infectious diseases Emerging Infectious Diseases 1 1 12
10. Centers for Disease Control (CDC) 1994 Addressing emerging infectious disease threats: A prevention strategy for the United States. US Department of Health and Human Services, Public Health Service, Atlanta, GA Morbidity and Mortality Weekly Report 43 1 18
11. Jorgensen J. & D'Ambrosio B. Detecting temporal patterns in ecological data using Bayesian machine learning: Effects of snow depth on condition factor for first year kokanee in Crater Lake Personal communication
12. Ramoni M. & Sebastiani P. 2001 Analysis of survey data with Bayesian networks In Bayesian Methods: Selected Papers from the Sixth AnnualMeeting of the International Society for Bayesian Analysis pp 429 438 Luxembourg European Community
13. Jensen F. V. 2001 Bayesian Networks and Decision Graphs New York Springer
14. Getoor L. Friedman N. Koller D. & Taskar B. 2001 Learning Probabilistic Models of Relational Structure. Eighteenth International Conference on Machine Learning (ICML) Williams College June
15. Pearl J. 1988 Probabilistic Reasoning in Intelligent Systems Palo Alto CA Morgan Kaufmann
16. D'Ambrosio B. Jorgensen J. & Altendorf E. 2003 Ecosystem analysis using probabilistic relational modeling In Workshop on Learning Statistical Relational Models, IJCAI 03 Mexico Acapulco August Available at
17. D'Ambrosio B. Jorgensen J. & Altendorf E. 2003 Relational Bayesian models of on-line user behavior In WebKdd 2003: Webmining as a Premise to Effective and Intelligent Web Applications, KDD 2003 Washington DC Proceedings of the 5th WEBKDD Workshop, Available at
18. Centers for Disease Control (CDC) 1999 Update - West Nile-like viral encephalitis - New York Morbidity and Mortality Weekly Report 48 890 892
19. Centers for Disease Control and Prevention (CDC) 2002 West Nile virus activity - United States, November 7-13, 2002 Morbidity and Mortality Weekly Report 50 1026 1027
20. Cornel A. J. Jupp P. G. & Blackburn N. K. 1993 Environmental temperature on the vector competence of Culex univittatus (Diptera: Culicidiae) for West Nile virus Journal of Medical Entomology 20 449 456
21. Enserink M. 2000 The enigma of the West Nile Science 290 1482 1484
22. Centers for Disease Control (CDC) 1999 Update - West Nile-like viral encephalitis - New York Morbidity and Mortality Weekly Report 48 890 892
23. D'Ambrosio B. & Altendorf E. 2004 Feature definition and discovery in probabilistic relational models In Dietterich T. Getoor L. & Murphy K. Eds Working Notes of the ICML-2004 Workshop on Statistical Relational Learning and Connections to Other Fields (SRL-2004) pp 11 16 Canada Banff July Available at
24. Boutilier C. Friedman N. Goldszmidt M. & Koller D. 1996 Context specific independence in Bayesian networks In Uncertainty in Artificial Intelligence (UAI), Proceedings of the Twelfth Conference pp. 115 123 Portland Oregon August
25. Kutz F. R. Wade T. G. & Pagac B. P. 2003 A geospatial study of the potential of two exotic species of mosquitoes to impact the epidemiology of West Nile virus in Maryland Journal of the American Mosquito Control Association 19 190 198
26. Marcot B. G. Holthausen R. S. Raphael M. G. Rowland M. M. & Wisdom M. J. 2001 Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement Forest Ecology and Management 153 29 42
27. Borsuk M. Clemen R. Maguire L. & Reckhow K. 2001 Stakeholder values and scientific modeling in the Neuse River watershed Group Decision and Negotiation 10 355 373
28. Stassopoulou A. Petrou M. & Kittler J. 1998 Application of a Bayesian network in a GIS decision making system International Journal of Geographical Information Science 12 23 45
29. Robinson T. P. Harris R. S. Hopkins J. S. & Williams B. G. 2002 An example of decision support for typanosomiasis control using a geographical information system in eastern Zambia International Journal of Geographical Information Science 16 345 360
30. Rutledge C. R. Day J. F. Lord C. C. Stark L. M. & Tabachnick W. J. 2003 West Nile virus infection rates in Culex nigripalpus (Diptera: Culicidae) do not reflect transmission rates in Florida Journal of Medical Entomology 40 253 258
31. Bernard K. A. Maffei J. G. Jones J. A. Kauffman E. B. Ebel G. D. Dupus II A. P. Ngo K. A. Nicholas D. C. Young D. M. Shi P. Y. Kulasekera V. L. Eideson M. While D. J. Stone W. B. NY State West Nile Virus Surveillance Team, & Krame L. D. 2001 West Nile virus infection in birds and mosquitoes, New York State, 2000 Emerging Infectious Diseases 7 679 685
32. Kulasekera V. L. Kramer L. Nasci R. S. Ostashari F. Cherry B. Trock S. C. Glaser C. & Miller J. R. 2001 West Nile virus infection in mosquitoes, birds, horses, and humans, Staten Island, New York, 2000 Emerging Infectious Disease 7 722 725