A hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillance

PLoS ONE

Volumn 6, Issue 9, 2011, Pages

  Robertson, Colin ^a,b   Sawford, Kate ^c   Gunawardana, Walimunige S N ^d   Nelson, Trisalyn A ^b   Nathoo, Farouk ^b   Stephen, Craig ^c  

^a WILFRID LAURIER UNIVERSITY   (Canada)

^b UNIVERSITY OF VICTORIA   (Canada)

^c UNIVERSITY OF CALGARY   (Canada)

^d UNIVERSITY OF PERADENIYA   (Sri Lanka)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CATTLE DISEASE; CONTROLLED STUDY; DISEASE SURVEILLANCE; GENETIC VARIABILITY; GEOGRAPHIC DISTRIBUTION; HIDDEN MARKOV MODEL; NONHUMAN; PREVALENCE; SRI LANKA; VETERINARY MEDICINE; ZOONOSIS; ANIMAL; ANIMAL DISEASE; BIOLOGICAL MODEL; CATTLE; COMMUNICABLE DISEASE; COMPUTER SIMULATION; EPIDEMIC; GEOGRAPHY; HEALTH SURVEY; HUMAN; PROBABILITY;

ANIMALIA; BOS;

ANIMALS; CATTLE; CATTLE DISEASES; COMMUNICABLE DISEASES; COMPUTER SIMULATION; DISEASE OUTBREAKS; GEOGRAPHY; HUMANS; MARKOV CHAINS; MODELS, BIOLOGICAL; POPULATION SURVEILLANCE; SRI LANKA; ZOONOSES;

EID: 80052838986     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0024833     Document Type: Article

References (36)

1. Greger M, (2007) The human/animal interface: emergence and resurgence of zoonotic infectious diseases. Crit Rev Microbiol 33: 243-299.
2. Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, et al. (2008) Global trends in emerging infectious diseases. Nature 451: 990-993.
3. Haydon DT, Cleaveland S, Taylor LH, Laurenson MK, (2002) Identifying reservoirs of infection: a conceptual and practical challenge. Emerg Infect Dis 8: 1468-1473.
4. Rabinowitz P, MacGarr LO, Dein FJ, (2008) From "us vs. them" to "shared risk": can animals help link environmental factors to human health? Eco Health 5: 224-229.
5. Lawson AB, Kleinman K, eds. (2005) Spatial and syndromic surveillance for public health West Sussex John Wiley.
6. Van Metre DC, Barkey DQ, Salman MD, Morley PS, (2009) Development of a syndromic surveillance system for detection of disease among livestock entering an auction market. J Am Vet Med Assoc 234: 658-664.
7. Leblond A, Hendrikx P, Sabatier P, (2007) West Nile virus outbreak detection using syndromic monitoring in horses. Vector-Borne Zoonot 7: 403-410.
8. Robertson C, Sawford K, Daniel SLA, Nelson TA, Stephen C, (2010) Mobile surveillance system, Sri Lanka. Emerg Infect Dis 15: 1524-1531.
9. Stoto MA, Schonlau M, Mariano LT, (2004) Syndromic surveillance: is it worth the effort? Chance 17: 19-24.
10. Das D, Metzger K, Heffernan R, Balter S, Weiss D, et al. (2005) Monitoring over-the-counter medication sales for early detection of disease outbreaks-New York City. MMWR Morb Mortal Wkly Rep 54: 41-46.
11. Hulth A, Rydevik G, Linde A, (2009) Web queries as a source for syndromic surveillance. PloS one 4: e4378.
12. Mostashari F, Fine A, Das D, Adams J, Layton M, (2003) Use of ambulance dispatch data as an early warning system for communitywide influenzalike illness, New York City. J Urban Health 80: i43-i49.
13. Kahn LH, (2006) Confronting zoonoses, linking human and veterinary medicine. Emerg Infect Dis 12: 556-561.
14. Vrbova L, Stephen C, Kasman N, Boehnke R, Doyle-Waters M, et al. (2010) Systematic review of surveillance systems for emerging zoonoses. Transbound Emerg Dis 57: 154-161.
15. Wagner MM, Moore AW, Aryel RM, (2006) Handbook of Biosurveillance London Elsevier.
16. Sonesson C, Bock D, (2003) A review and discussion of prospective statistical surveillance in public health. J R Stat Soc Ser A Stat Soc 166: 5-21.
17. Naus JI, (1965) The distribution of the size of the maximum cluster of points on a line. J Am Stat Assoc 60: 532-538.
18. Kulldorff M, Nagarwalla N, (1995) Spatial disease clusters: detection and inference. Stat Med 14: 799-810.
19. Kulldorff M, (2001) Prospective time periodic geographical disease surveillance using a scan statistic. J R Stat Soc Ser A Stat Soc 164: 61-72.
20. Kulldorff M, Heffernan R, Hartman J, Assuncao RM, Mostashari F, (2005) A space-time permutation scan statistic for disease outbreak detection. PLoS Med 2: e59.
21. Heffernan R, Mostashari F, Das D, Karpati A, Kulldorff M, et al. (2004) Syndromic surveillance in public health practice, New York City. Emerg Infect Dis 10: 858-64.
22. Andersson E, Bock D, Frisen M, (2008) Modeling influenza incidence for the purpose of on-line monitoring. Stat Methods Med Res 17: 421-438.
23. Xia H, Carlin BP, (1998) Spatio-temporal models with errors in covariates: mapping Ohio lung cancer mortality. Stat Med 17: 2025-2043.
24. Le Strat Y, Carrat F, (1999) Monitoring epidemiologic surveillance data using hidden Markov models. Stat Med 18: 3463-3478.
25. Rath T, Carreras M, Sebastiani P, (2003) Automated detection of influenza epidemics with Hidden Markov Models. Cryptographic Hardware and Embedded Systems-CHES 2003 pp. 521-532.
26. Madigan D, (2005) Bayesian data mining for health surveillance. In: Lawson AB, Kleinman K, editors. Spatial and syndromic surveillance for public health West Sussex John Wiley pp. 203-221.
27. Martínez-Beneito MA, Conesa D, López-Quílez A, López-Maside A, (2008) Bayesian Markov switching models for the early detection of influenza epidemics. Stat Med 27: 4455-4468.
28. Wall MM, Li R, (2009) Multiple indicator hidden Markov model with an application to medical utilization data. Stat Med 28: 293-310.
29. Watkins R, Eagleson S, Veenendaal B, Wright G, Plant A, (2009) Disease surveillance using a hidden Markov model. BMC Med Inform Decis Mak 9: e39.
30. Zucchini W, MacDonald IL, (2009) Hidden Markov Models for Time Series: An Introduction Using R Boca Raton Chapman & Hall/CRC.
31. Lunn DJ, Thomas A, Best N, Spiegelhalter D, (2000) WinBUGS- A Bayesian modelling framework: Concepts, structure, and extensibility. Stat Comput 10: 325-337.
32. Gelman A, Rubin DB, (1992) Inference from iterative simulation using multiple sequences. Stat Sci 7: 457-472.
33. Gelman A, Carlin JB, Stern HS, Rubin DB, (2004) Bayesian data analysis Boca Raton Chapman & Hall/CRC.
34. Gubernot DM, Boyer BL, Moses MS, (2008) Animals as Early Detectors of Bioevents: Veterinary tools and a framework for animal-human integrated zoonotic disease surveillance. Public Health Rep 123: 300-315.
35. Fearnley L, (2008) Signals come and go: syndromic surveillance and styles of biosecurity. Environ Plan A 40: 1615-1632.
36. Bock R, Jackson L, De Vos A, Jorgensen W, (2004) Babesiosis of cattle. Parasitology 129: S247-S269.