{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T06:52:17Z","timestamp":1792133537265,"version":"4.4.0"},"reference-count":32,"publisher":"SAGE Publications","issue":"10","license":[{"start":{"date-parts":[[2015,10,1]],"date-time":"2015-10-01T00:00:00Z","timestamp":1443657600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Vector-Borne and Zoonotic Diseases"],"published-print":{"date-parts":[[2015,10]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>Lyme disease (LD) is the most commonly reported tick-borne illness in North America. To improve LD surveillance, we explored claims data as an adjunct data source for monitoring trends in Lyme disease incidence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We retrospectively analyzed claims from a nationwide US health insurance plan, identifying patients with newly diagnosed LD in 13 high-prevalence states over two time periods, 2004\u20132006 and 2010\u20132012.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      The average LD case incidence as estimated by using claims data in 2010\u20132012 (75.67 per 100,000 person-years,\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      \u2009=\u20093474) was 1.50 times higher than 2004\u20132006 (50.25 per 100,000 person-years,\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      \u2009=\u20091965) (\n                      <jats:italic toggle=\"yes\">p<\/jats:italic>\n                      \u2009&lt;\u20090.001) and higher than incidence reported by the states to the Centers for Disease Control and Prevention. Among the 13 highest-prevalence states, there were 11 states with increased LD incidence over time.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Surveillance systems should explore a fusion of data sources, including payer claims that appear to be highly sensitive with limitations, with electronic laboratory data that afford high specificity, but appear to miss cases.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/vbz.2015.1790","type":"journal-article","created":{"date-parts":[[2015,9,22]],"date-time":"2015-09-22T10:01:24Z","timestamp":1442916084000},"page":"591-596","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":20,"title":["Using Nation-Wide Health Insurance Claims Data to Augment Lyme Disease Surveillance"],"prefix":"10.1177","volume":"15","author":[{"given":"Yi-Ju","family":"Tseng","sequence":"first","affiliation":[{"name":"Boston Children's Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aurel","family":"Cami","sequence":"additional","affiliation":[{"name":"Boston Children's Hospital"},{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donald A.","family":"Goldmann","sequence":"additional","affiliation":[{"name":"Institute for Healthcare Improvement"},{"name":"Boston Children's Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Alfred","family":"DeMaria","sequence":"additional","affiliation":[{"name":"Bureau of Infectious Disease, Massachusetts Department of Public Health, Jamaica Plain, Massachusetts."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth D.","family":"Mandl","sequence":"additional","affiliation":[{"name":"Boston Children's Hospital"},{"name":"Harvard Medical School"},{"name":"Harvard Medical School"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2015,10,1]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/PHH.0b013e31821f2d73"},{"key":"e_1_3_3_3_1","first-page":"1","article-title":"Surveillance for Lyme disease\u2014United States, 1992\u20132006","volume":"57","author":"Bacon RM","year":"2008","unstructured":"Bacon RM, , Kugeler KJ, , Mead PS, Centers for Disease Control and Prevention. 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Epidemiology & clinical characteristics of Lyme disease diagnosed by health care providers: Analysis of a large insurance database. The 13th International Conference on Lyme Borreliosis and other Tick-Borne Diseases. Boston, MA, 2013."},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1370\/afm.117"},{"key":"e_1_3_3_23_1","unstructured":"Ryan P. Establishing a Condition Era Persistence Window for Active Surveillance. Foundation for the National Institutes of Health 2010."},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/cid\/cit238"},{"key":"e_1_3_3_25_1","first-page":"684","article-title":"Lyme disease","volume":"371","author":"Shapiro ED","year":"2014","unstructured":"Shapiro ED. Lyme disease. 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