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Records included all claims with at least 1 day of compensated time off work lodged between 2010 and 2015. Work disability burden was\n                      <jats:italic>z<\/jats:italic>\n                      \u2010transformed by state and territory and mapped across Australia. Statistical Areas that were more than 1\u2009\n                      <jats:italic>standard deviation<\/jats:italic>\n                      from the state or territory mean were considered hotspots and coldspots. We tested several sociodemographic factors as predictors of work disability burden.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Work disability burden hotspots were concentrated in lower socioeconomic suburbs and exurbs of state capitals, in addition to several regional areas. Coldspots were primarily in wealthy central urban and suburban areas. Factors associated with greater work disability burden include higher area socioeconomic disadvantage, rurality, lower labor force participation, higher unemployment, higher proportion of work in production industries and in blue\u2010collar occupations, and higher numbers of those with core activity limitations, those aged 65+ years, and foreign\u2010born residents.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Work disability burden is unequally distributed across Australia and strongly influenced by sociodemographic and occupational factors. The findings can guide more efficient allocation of resources for work disability prevention and rehabilitation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ajim.23253","type":"journal-article","created":{"date-parts":[[2021,5,11]],"date-time":"2021-05-11T14:14:47Z","timestamp":1620742487000},"page":"629-638","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Geographic variation in work disability burden: Identifying hotspots, coldspots, and associated sociodemographic factors"],"prefix":"10.1002","volume":"64","author":[{"given":"Tyler J.","family":"Lane","sequence":"first","affiliation":[{"name":"School of Public Health and Preventive Medicine Monash University Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex","family":"Collie","sequence":"additional","affiliation":[{"name":"School of Public Health and Preventive Medicine Monash University Melbourne Victoria Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,5,11]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10926-018-9816-4"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6214-9_6"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/eurpub\/cks162"},{"key":"e_1_2_12_5_1","unstructured":"vanVredenC et al.Understanding the impact of place on return to work following work\u2010related injury and illness\u2014A scoping review (under review)."},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dhjo.2016.12.009"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajim.22712"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajim.10216"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1097\/JOM.0b013e31817e7bf2"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.5271\/sjweh.1217"},{"key":"e_1_2_12_11_1","unstructured":"DuckettS GriffithsK.Perils of Place Identifying hotspots of health inequality; 2016.http:\/\/apo.org.au\/files\/Resource\/874-perils-of-place.pdf"},{"key":"e_1_2_12_12_1","doi-asserted-by":"publisher","DOI":"10.1097\/MLR.0000000000000991"},{"key":"e_1_2_12_13_1","unstructured":"Safe Work Australia.The cost of work\u2010related injury and illness for Australian employers workers and the community 2012\u201313.2015."},{"key":"e_1_2_12_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/ajim.1113"},{"key":"e_1_2_12_15_1","first-page":"208","volume-title":"Understanding the Australian Health Care System","author":"Collie A","year":"2019"},{"key":"e_1_2_12_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-6214-9_12"},{"key":"e_1_2_12_17_1","unstructured":"LaneTJ CollieA Hassani\u2010MahmooeiB.Work\u2010Related Injury and Illness in Australia 2004 to 2014.2016."},{"key":"e_1_2_12_18_1","unstructured":"Safe Work Australia.National Data Set for Compensation\u2010based Statistics. 3rd ed.2004."},{"key":"e_1_2_12_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2017.09.019"},{"key":"e_1_2_12_20_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0274(199906)35:6<604::AID-AJIM8>3.0.CO;2-T"},{"key":"e_1_2_12_21_1","unstructured":"Australian Government. 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