{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T12:10:03Z","timestamp":1756296603933,"version":"3.44.0"},"reference-count":29,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T00:00:00Z","timestamp":1753920000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001769","name":"Charles Sturt University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Australian J Rural Health"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Rural populations were particularly vulnerable to COVID\u201019. However, willingness to comply with health advice varied across population groups and was influenced by perceptions of risk.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective<\/jats:title><jats:p>This study aimed to identify the characteristics of the population (e.g., age, gender, First Nations status, perceived vulnerability, efficacy and levels of fear) associated with variations in compliance with health advice in rural Australia to inform health communication strategies for future pandemics.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods\u2014Design, Setting and Participants<\/jats:title><jats:p>The study used a cross\u2010sectional online survey of Australian residents aged 18\u2009years and over (<jats:italic>n<\/jats:italic>\u2009=\u2009701) residing in western NSW, Australia. Both bivariate and multivariable analyses were conducted, including multinomial logistic regression modelling.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The characteristics that predicted both intention to comply with health advice and actual behaviour were gender (being female), First Nations status (Aboriginal) and age (older). The lower the perceived risk to the individual, the more likely they were to have limited or no intention to comply with preventative measures. A bivariate correlation analysis determined that there was a small (<jats:italic>r<\/jats:italic>\u2009=\u20090.265) significant (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) correlation between intention to comply with preventative measures and the frequency with which people engaged in good hygiene practices.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The results provide a means to identify groups in rural areas that need tailored health communications to encourage compliance with health advice. The members of the community who were less vulnerable to illness, particularly young men, were less likely to comply. In future pandemics, governments could take both a geographic and population group segmented approach to health communications instead of a blanket approach.<\/jats:p><\/jats:sec>","DOI":"10.1111\/ajr.70078","type":"journal-article","created":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T12:58:49Z","timestamp":1753966729000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Willingness to Comply With Health Advice on <scp>COVID<\/scp>\u201019 in Rural Australia: Results of a Cross\u2010Sectional Survey"],"prefix":"10.1111","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2277-4130","authenticated-orcid":false,"given":"Jodie","family":"Kleinschafer","sequence":"first","affiliation":[{"name":"School of Business Charles Sturt University  Bathurst New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9299-5866","authenticated-orcid":false,"given":"Julaine","family":"Allan","sequence":"additional","affiliation":[{"name":"Rural Health Research Institute, Charles Sturt University  Orange New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teesta","family":"Saksena","sequence":"additional","affiliation":[{"name":"Western NSW Local Health District  Bathurst New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7670-5192","authenticated-orcid":false,"given":"Azizur","family":"Rahman","sequence":"additional","affiliation":[{"name":"School of Computing, Mathematics and Engineering Charles Sturt University  Wagga Wagga New South Wales Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,7,31]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(14)70846-1"},{"volume-title":"The Worst Virus Outbreaks in the US Are Now in Rural Areas","year":"2020","author":"Leatherby L.","key":"e_1_2_11_3_1"},{"key":"e_1_2_11_4_1","unstructured":"OECD \u201cPolicy Implications of Coronavirus Crisis for Rural Development \u201d(2020) https:\/\/www.oecd.org\/en\/publications\/policy\u2010implications\u2010of\u2010coronavirus\u2010crisis\u2010for\u2010rural\u2010development_6b9d189a\u2010en.html."},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30567-5"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.2471\/BLT.08.060772"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1177\/1524839908324022"},{"key":"e_1_2_11_8_1","first-page":"1","volume-title":"Epidemic Alert & Response: WHO Checklist for Influenza Pandemic Preparedness Planning. 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