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One constraint has been that influencing indicators have been selected mainly based on subjective judgment and tested using traditional statistical modeling methods. We proposed a framework new to diabetes studies using data\u2010driven and spatial methods to identify the most significant influential determinants of diabetes automatically and estimated their relationships. We used data from diabetes mellitus patients' health insurance records in Shandong province, China, and collected influencing indicators of diabetes prevalence at the county level in the sociodemographic, economic, education, and geographical environment domains. We specified a framework to identify automatically the most influential determinants of diabetes, and then established the relationship between these selected influencing indicators and diabetes prevalence. Our autocorrelation results showed that the diabetes prevalence in 12 Shandong cities was significantly clustered (Moran's<jats:italic>I<\/jats:italic>\u00a0=\u00a00.328,<jats:italic>p<\/jats:italic>\u00a0&lt;\u00a00.01). In total, 17 significant influencing indicators were selected by executing binary linear regressions and lasso regressions. The spatial error regressions in different subgroups were subject to different diabetes indicators. Some positive indicators existed significantly like per capita fruit production and other indicators correlated with diabetes prevalence negatively like the proportion of green space. Diabetes prevalence was mainly subjected to the joint effects of influencing indicators. This framework can help public health officials to inform the implementation of improved treatment and policies to attenuate diabetes diseases.<\/jats:p>","DOI":"10.1029\/2020gh000320","type":"journal-article","created":{"date-parts":[[2021,3,10]],"date-time":"2021-03-10T11:56:24Z","timestamp":1615377384000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Influencing Indicators and Spatial Variation of Diabetes Mellitus Prevalence in Shandong, China: A Framework for Using Data\u2010Driven and Spatial Methods"],"prefix":"10.1029","volume":"5","author":[{"given":"Yizhuo","family":"Li","sequence":"first","affiliation":[{"name":"School of Resource and Environmental Sciences Wuhan University Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3415-1654","authenticated-orcid":false,"given":"Teng","family":"Fei","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences Wuhan University Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Research Center of Health Economics and Management Dong Fureng Institute of Economic and Social Development Wuhan University Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen","family":"Nicholas","sequence":"additional","affiliation":[{"name":"Top Education Institute Sydney NSW Australia"},{"name":"Newcastle Business School University of Newcastle Newcastle NSW Australia"},{"name":"School of Management and School of Economics Tianjin Normal University Tianjin China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences Wuhan University Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lizheng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Public Health Center for Health Economics Experiment and Public Policy Shandong University Key Laboratory of Health Economics and Policy Research NHFPC (Shandong University) Jinan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanran","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Public Health Center for Health Economics Experiment and Public Policy Shandong University Key Laboratory of Health Economics and Policy Research NHFPC (Shandong University) Jinan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanqi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Resource and Environmental Sciences Wuhan University Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"13","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2015.05.008"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1442-9993.1998.tb00713.x"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-4632.1995.tb00338.x"},{"key":"e_1_2_9_5_1","volume-title":"Spatial econometrics: Methods and models (Vol. 4)","author":"Anselin L.","year":"2013"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1093\/epirev\/mxh002"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apgeog.2012.10.007"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s001250051228"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/1479-5868-8-55"},{"key":"e_1_2_9_10_1","unstructured":"Coggon D. 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