{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T11:54:11Z","timestamp":1765886051459,"version":"3.37.3"},"reference-count":40,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T00:00:00Z","timestamp":1489363200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Global Food Venture MnDrive Initiative"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Zoonoses and Public Health"],"published-print":{"date-parts":[[2017,12]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p><jats:italic>Salmonella enterica<\/jats:italic> is a global health concern because of its widespread association with foodborne illness. Bayesian models have been developed to attribute the burden of human salmonellosis to specific sources with the ultimate objective of prioritizing intervention strategies. Important considerations of source attribution models include the evaluation of the quality of input data, assessment of whether attribution results logically reflect the data trends and identification of patterns within the data that might explain the detailed contribution of different sources to the disease burden. Here, more than 12,000 non\u2010typhoidal <jats:italic>Salmonella<\/jats:italic> isolates from human, bovine, porcine, chicken and turkey sources that originated in Minnesota were analysed. A modified Bayesian source attribution model (available in a dedicated R package), accounting for non\u2010sampled sources of infection, attributed 4,672 human cases to sources assessed here. Most (60%) cases were attributed to chicken, although there was a spike in cases attributed to a non\u2010sampled source in the second half of the study period. Molecular epidemiological analysis methods were used to supplement risk modelling, and a visual attribution application was developed to facilitate data exploration and comprehension of the large multiyear data set assessed here. A large amount of within\u2010source diversity and low similarity between sources was observed, and visual exploration of data provided clues into variations driving the attribution modelling results. Results from this pillared approach provided first attribution estimates for <jats:italic>Salmonella<\/jats:italic> in Minnesota and offer an understanding of current data gaps as well as key pathogen population features, such as serotype frequency, similarity and diversity across the sources. Results here will be used to inform policy and management strategies ultimately intended to prevent and control <jats:italic>Salmonella<\/jats:italic> infection in the state.<\/jats:p>","DOI":"10.1111\/zph.12351","type":"journal-article","created":{"date-parts":[[2017,3,14]],"date-time":"2017-03-14T15:31:33Z","timestamp":1489505493000},"page":"589-598","source":"Crossref","is-referenced-by-count":8,"title":["Inferring source attribution from a multiyear multisource data set of <i>Salmonella<\/i> in Minnesota"],"prefix":"10.1111","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5414-8076","authenticated-orcid":false,"given":"C.","family":"Ahlstrom","sequence":"first","affiliation":[{"name":"Epi\u2010interactive  Wellington New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Muellner","sequence":"additional","affiliation":[{"name":"Epi\u2010interactive  Wellington New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S. E. F.","family":"Spencer","sequence":"additional","affiliation":[{"name":"University of Warwick  Coventry UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Hong","sequence":"additional","affiliation":[{"name":"Department of Veterinary Population Medicine College of Veterinary Medicine University of Minnesota  Saint Paul MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Saupe","sequence":"additional","affiliation":[{"name":"Minnesota Department of Health  Saint Paul MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Rovira","sequence":"additional","affiliation":[{"name":"Veterinary Diagnostic Laboratory College of Veterinary Medicine University of Minnesota  Saint Paul MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C.","family":"Hedberg","sequence":"additional","affiliation":[{"name":"Division of Environmental Health Sciences School of Public Health University of Minnesota  Minneapolis MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Perez","sequence":"additional","affiliation":[{"name":"Department of Veterinary Population Medicine College of Veterinary Medicine University of Minnesota  Saint Paul MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"U.","family":"Muellner","sequence":"additional","affiliation":[{"name":"Epi\u2010interactive  Wellington New Zealand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8999-9417","authenticated-orcid":false,"given":"J.","family":"Alvarez","sequence":"additional","affiliation":[{"name":"Department of Veterinary Population Medicine College of Veterinary Medicine University of Minnesota  Saint Paul MN USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,3,13]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfoodmicro.2013.03.005"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.3201\/eid1107.040634"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.4315\/0362-028X.JFP-11-418"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2014.04.006"},{"key":"e_1_2_7_6_1","unstructured":"CDC(2014).National Salmonella surveillance annual report 2012. US Dep. Heal. Hum. Serv. CDC Atlanta United States."},{"key":"e_1_2_7_7_1","unstructured":"CDC(2016).Foodborne Diseases Active Surveillance Network (FoodNet): FoodNet Surveillance Report for 2014. CDC Atlanta United States."},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.2307\/2684568"},{"key":"e_1_2_7_9_1","first-page":"495","article-title":"Preliminary incidence and trends of infection with pathogens transmitted commonly through food\u2014Foodborne Diseases Active Surveillance Network, 10 US sites, 2006\u20132014","volume":"64","author":"Crim S. M.","year":"2015","journal-title":"Morbidity and Mortality Weekly Report"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.2012.01877.x"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0950268814001903"},{"volume-title":"Bayesian methods for nonlinear classification and regression","year":"2002","author":"Denison D. G. T.","key":"e_1_2_7_12_1"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.3201\/eid2207.150833"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.2903\/j.efsa.2013.3502"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/risa.12444"},{"key":"e_1_2_7_16_1","first-page":"1","article-title":"Surveillance for foodborne disease outbreaks\u2014United States, 1998\u20132008","volume":"62","author":"Gould L. H.","year":"2013","journal-title":"MMWR Surveillance Summary"},{"key":"e_1_2_7_17_1","first-page":"1","article-title":"Antigenic formulae of the Salmonella serovars","volume":"9","author":"Grimont P. A. D.","year":"2007","journal-title":"WHO Collaborating Centre for Reference and Research on Salmonella"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1089\/fpd.2010.0714"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.0272-4332.2004.00427.x"},{"key":"e_1_2_7_20_1","first-page":"1","volume-title":"PAST\u2010palaeontological statistics, ver. 1.89","author":"Hammer \u00d8.","year":"2009"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/infdis\/167.1.107"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.4315\/0362-028X-70.5.1220"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0168016"},{"key":"e_1_2_7_24_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2958.2000.01907.x"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1001921"},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1089\/fpd.2009.0439"},{"key":"e_1_2_7_27_1","unstructured":"Low S. A. Adalja A. Beaulieu E. Key N. Martinez S. Melton A. \u2026Jablonski B. B. R.(2015).Trends in US local and regional food systems: A report to Congress."},{"key":"e_1_2_7_28_1","unstructured":"Minnesota Department of Health(2015).Annual Summary of Communicable Disease Reported to the Minnesota Department of Health 2015. Disease Control Newsletter 43."},{"key":"e_1_2_7_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.prevetmed.2011.07.011"},{"key":"e_1_2_7_30_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0950268813001829"},{"key":"e_1_2_7_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijfoodmicro.2014.09.010"},{"key":"e_1_2_7_32_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.2009.01224.x"},{"key":"e_1_2_7_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.meegid.2009.09.003"},{"key":"e_1_2_7_34_1","doi-asserted-by":"publisher","DOI":"10.3201\/eid1903.111866"},{"issue":"1","key":"e_1_2_7_35_1","first-page":"151","article-title":"Bayesian methods for analysis of stock mixtures from genetic characters","volume":"99","author":"Pella J.","year":"2001","journal-title":"Fishery Bulletin"},{"key":"e_1_2_7_36_1","doi-asserted-by":"publisher","DOI":"10.1089\/fpd.2009.0369"},{"volume-title":"R: A language and environment for statistical computing","year":"2016","author":"R Core Team","key":"e_1_2_7_37_1"},{"key":"e_1_2_7_38_1","first-page":"1","article-title":"Foodborne illness acquired in the United States\u2014major pathogens","volume":"17","author":"Scallan E.","year":"2011","journal-title":"Emerging Infectious Diseases"},{"key":"e_1_2_7_39_1","doi-asserted-by":"publisher","DOI":"10.3201\/eid\/1706.101272"},{"key":"e_1_2_7_40_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0950268899004379"},{"key":"e_1_2_7_41_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0950268815001867"}],"container-title":["Zoonoses and Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fzph.12351","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/zph.12351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T13:15:48Z","timestamp":1695993348000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/zph.12351"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,13]]},"references-count":40,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["10.1111\/zph.12351"],"URL":"https:\/\/doi.org\/10.1111\/zph.12351","archive":["Portico"],"relation":{},"ISSN":["1863-1959","1863-2378"],"issn-type":[{"type":"print","value":"1863-1959"},{"type":"electronic","value":"1863-2378"}],"subject":[],"published":{"date-parts":[[2017,3,13]]}}}