{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T04:25:41Z","timestamp":1729225541014,"version":"3.27.0"},"reference-count":78,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2019,11,12]],"date-time":"2019-11-12T00:00:00Z","timestamp":1573516800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100018336","name":"NIHR Health Protection Research Unit","doi-asserted-by":"crossref","award":["none available"],"id":[{"id":"10.13039\/100018336","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2020,4]]},"abstract":" Health misinformation can exacerbate infectious disease outbreaks. Especially pernicious advice could be classified as \u201cfake news\u201d: manufactured with no respect for accuracy and often integrated with emotive or conspiracy-framed narratives. We built an agent-based model that simulated separate but linked circulating contagious disease and sharing of health advice (classified as useful or harmful). Such advice has potential to influence human risk-taking behavior and therefore the risk of acquiring infection, especially as people are more likely in observed social networks to share bad advice. We test strategies proposed in the recent literature for countering misinformation. Reducing harmful advice from 50% to 40% of circulating information, or making at least 20% of the population unable to share or believe harmful advice, mitigated the influence of bad advice in the disease outbreak outcomes. How feasible it is to try to make people \u201cimmune\u201d to misinformation or control spread of harmful advice should be explored. <\/jats:p>","DOI":"10.1177\/0037549719885021","type":"journal-article","created":{"date-parts":[[2019,11,13]],"date-time":"2019-11-13T06:27:18Z","timestamp":1573626438000},"page":"365-374","update-policy":"http:\/\/dx.doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":67,"title":["Misinformation making a disease outbreak worse: outcomes compared for influenza, monkeypox, and norovirus"],"prefix":"10.1177","volume":"96","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-5272-7995","authenticated-orcid":false,"given":"Julii","family":"Brainard","sequence":"first","affiliation":[{"name":"Norwich Medical School, University of East Anglia, UK"}]},{"given":"Paul R","family":"Hunter","sequence":"additional","affiliation":[{"name":"Norwich Medical School, University of East Anglia, UK"}]}],"member":"179","published-online":{"date-parts":[[2019,11,12]]},"reference":[{"volume-title":"East of England Public Health Conference 2018","author":"Brainard J","key":"bibr1-0037549719885021"},{"key":"bibr2-0037549719885021","unstructured":"Brainard J, Hunter PR, Hall I. 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