{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T07:44:51Z","timestamp":1789717491144,"version":"4.0.1"},"reference-count":24,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100004715","name":"Defence Science and Technology Organisation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004715","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Theoretical Biology"],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1016\/j.jtbi.2015.01.023","type":"journal-article","created":{"date-parts":[[2015,1,28]],"date-time":"2015-01-28T12:58:57Z","timestamp":1422449937000},"page":"171-183","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":27,"special_numbering":"C","title":["Detecting disease outbreaks using a combined Bayesian network and particle filter approach"],"prefix":"10.1016","volume":"370","author":[{"given":"Peter","family":"Dawson","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ralph","family":"Gailis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alaster","family":"Meehan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.jtbi.2015.01.023_bib1","first-page":"419","article-title":"Fitting phase-type distributions via the EM algorithm","volume":"23","author":"Asmussen","year":"1996","journal-title":"Scand. J. Stat."},{"key":"10.1016\/j.jtbi.2015.01.023_bib2","unstructured":"Cooper, G.F., Dash, D.H., Levander, J.D., Wong, W.K., Hogan, W.R., Wagner, M.M., 2004. Bayesian biosurveillance of disease outbreaks. In: Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, UAI\u05f304. AUAI Press, Arlington, Virginia, United States. pp. 94\u2013103. URL \u3008http:\/\/dl.acm.org\/citation.cfm?id=1036843.1036855\u3009."},{"key":"10.1016\/j.jtbi.2015.01.023_bib3","unstructured":"Dawson, P., Meehan, A., Aubron, C., Cheng, A., Lau, W., Gailis, R., Pierce, C., 2015. Modelling symptoms of inhalational anthrax and influenza pneumonia for disease surveillance, in preparation."},{"key":"10.1016\/j.jtbi.2015.01.023_bib4","unstructured":"Doucet, A., de Freitas, N., Murphy, K.P., Russell, S.J., 2000. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks, CoRR abs\/1301.3853."},{"issue":"4","key":"10.1016\/j.jtbi.2015.01.023_bib5","doi-asserted-by":"crossref","first-page":"608","DOI":"10.3201\/eid1004.030509","article-title":"Epidemiologic determinants for modeling pneumonic plague outbreaks","volume":"10","author":"Gani","year":"2004","journal-title":"Emerg. Infect. Dis."},{"issue":"2","key":"10.1016\/j.jtbi.2015.01.023_bib6","first-page":"107","article-title":"Novel approach to nonlinear non-Gaussian Bayesian state estimation","volume":"140","author":"Gordon","year":"1993","journal-title":"IEE Proc. F: Radar Signal Process."},{"key":"10.1016\/j.jtbi.2015.01.023_bib7","series-title":"Probability Theory: The Logic of Science","author":"Jaynes","year":"2003"},{"issue":"3","key":"10.1016\/j.jtbi.2015.01.023_bib8","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1007\/s10618-009-0151-4","article-title":"A real-time temporal Bayesian architecture for event surveillance and its application to patient-specific multiple disease outbreak detection","volume":"20","author":"Jiang","year":"2010","journal-title":"Data Min. Knowl. Discov."},{"key":"10.1016\/j.jtbi.2015.01.023_bib9","unstructured":"Jiang, X., Cooper, G., Neill, D., 2009. Generalized amoc curves for evaluation and improvement of event surveillance. In: AMIA Annual Symposium Proceedings, pp. 281\u2013285."},{"issue":"Series D","key":"10.1016\/j.jtbi.2015.01.023_bib10","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1115\/1.3662552","article-title":"A new approach to linear filtering and prediction problems","volume":"82","author":"Kalman","year":"1960","journal-title":"Trans. ASME\u2014J. Basic Eng."},{"issue":"2","key":"10.1016\/j.jtbi.2015.01.023_bib11","doi-asserted-by":"crossref","first-page":"83","DOI":"10.3201\/eid0302.970201","article-title":"The economic impact of a bioterrorist attack","volume":"3","author":"Kaufmann","year":"1997","journal-title":"Emerg. Infect. Dis."},{"issue":"1","key":"10.1016\/j.jtbi.2015.01.023_bib12","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1089\/bsp.2011.0109","article-title":"Biosurveillance in outbreak investigations","volume":"11","author":"Kaydos-Daniels","year":"2013","journal-title":"Biosecur. Bioterror."},{"issue":"1","key":"10.1016\/j.jtbi.2015.01.023_bib13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10618600.1996.10474692","article-title":"Monte Carlo filter and smoother for non-Gaussian nonlinear state space models","volume":"5","author":"Kitagawa","year":"1996","journal-title":"J. Comput. Gr. Stat."},{"key":"10.1016\/j.jtbi.2015.01.023_bib14","series-title":"Infectious Disease Informatics: Syndromic Surveillance for Public Health and Bio-Defense","author":"Ksinchun Chen","year":"2010"},{"key":"10.1016\/j.jtbi.2015.01.023_bib15","unstructured":"Murphy, K., 2002. Dynamic Bayesian Networks: Representation, Inference and Learning (Ph.D. thesis). University of California, Berkeley."},{"key":"10.1016\/j.jtbi.2015.01.023_bib16","unstructured":"Nachimuthu, S.K., Wong, A., Haug, P.J., 2010. Modeling glucose homeostasis and insulin dosing in an intensive care unit using dynamic Bayesian networks. In: AMIA Annual Symposium Proceedings, pp. 532\u2013536. URL \u3008http:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC3041323\/\u3009."},{"key":"10.1016\/j.jtbi.2015.01.023_bib17","series-title":"Artech House radar library","article-title":"Beyond the Kalman Filter: Particle Filters for Tracking Applications","author":"Ristic","year":"2004"},{"issue":"5\u20136","key":"10.1016\/j.jtbi.2015.01.023_bib18","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1007\/s00285-007-0112-8","article-title":"Model-consistent estimation of the basic reproduction number from the incidence of an emerging infection","volume":"55","author":"Roberts","year":"2007","journal-title":"J. Math. Biol."},{"issue":"3","key":"10.1016\/j.jtbi.2015.01.023_bib19","first-page":"310","article-title":"The distribution of incubation periods of infectious disease","volume":"51","author":"Sartwell","year":"1950","journal-title":"Am. J. Hyg."},{"issue":"50","key":"10.1016\/j.jtbi.2015.01.023_bib20","doi-asserted-by":"crossref","first-page":"20425","DOI":"10.1073\/pnas.1208772109","article-title":"Forecasting seasonal outbreaks of influenza","volume":"109","author":"Shaman","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"issue":"1","key":"10.1016\/j.jtbi.2015.01.023_bib21","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.mbs.2012.05.010","article-title":"Monitoring and prediction of an epidemic outbreak using syndromic observations","volume":"240","author":"Skvortsov","year":"2012","journal-title":"Math. Biosci."},{"key":"10.1016\/j.jtbi.2015.01.023_bib22","doi-asserted-by":"crossref","first-page":"3","DOI":"10.5210\/ojphi.v3i3.3798","article-title":"Probabilistic, decision-theoretic disease surveillance and control","volume":"3","author":"Wagner","year":"2011","journal-title":"Online J. Public Health Inform."},{"key":"10.1016\/j.jtbi.2015.01.023_bib23","unstructured":"Wong, W.K., Moore, A., Cooper, G., Wagner, M., 2003. Bayesian network anomaly pattern detection for disease outbreaks. In: Proceedings of the Twentieth International Conference on Machine Learning. AAAI Press, pp. 808\u2013815 Washington DC, USA."},{"key":"10.1016\/j.jtbi.2015.01.023_bib24","unstructured":"Wong, W.K., Moore, A., Cooper, G., Wagner, M., WSARE Datasets. URL \u3008http:\/\/www.autonlab.org\/autonweb\/15959.html\u3009, 2003."}],"container-title":["Journal of Theoretical Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022519315000326?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0022519315000326?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T16:18:26Z","timestamp":1758385106000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0022519315000326"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":24,"alternative-id":["S0022519315000326"],"URL":"https:\/\/doi.org\/10.1016\/j.jtbi.2015.01.023","relation":{},"ISSN":["0022-5193"],"issn-type":[{"value":"0022-5193","type":"print"}],"subject":[],"published":{"date-parts":[[2015,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detecting disease outbreaks using a combined Bayesian network and particle filter approach","name":"articletitle","label":"Article Title"},{"value":"Journal of Theoretical Biology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jtbi.2015.01.023","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Crown copyright \u00a9 2015 Published by Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}