{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T13:39:30Z","timestamp":1777729170011,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T00:00:00Z","timestamp":1500595200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T00:00:00Z","timestamp":1500595200000},"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":["J Int Med Res"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The Chinese Center for Disease Control and Prevention developed the China Infectious Disease Automated-alert and Response System (CIDARS) in 2008. The CIDARS can detect outbreak signals in a timely manner but generates many false-positive signals, especially for diseases with seasonality. We assessed the influence of seasonality on infectious disease outbreak detection performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Chickenpox surveillance data in Songjiang District, Shanghai were used. The optimized early alert thresholds for chickenpox were selected according to three algorithm evaluation indexes: sensitivity (Se), false alarm rate (FAR), and time to detection (TTD). Performance of selected proper thresholds was assessed by data external to the study period.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The optimized early alert threshold for chickenpox during the epidemic season was the percentile P65, which demonstrated an Se of 93.33%, FAR of 0%, and TTD of 0 days. The optimized early alert threshold in the nonepidemic season was P50, demonstrating an Se of 100%, FAR of 18.94%, and TTD was 2.5 days. The performance evaluation demonstrated that the use of an optimized threshold adjusted for seasonality could reduce the FAR and shorten the TTD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Selection of optimized early alert thresholds based on local infectious disease seasonality could improve the performance of the CIDARS.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0300060517718770","type":"journal-article","created":{"date-parts":[[2017,7,21]],"date-time":"2017-07-21T03:08:14Z","timestamp":1500606494000},"page":"98-106","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Influence of infectious disease seasonality on the performance of the outbreak detection algorithm in the China Infectious Disease Automated-alert and Response System"],"prefix":"10.1177","volume":"46","author":[{"given":"Ruiping","family":"Wang","sequence":"first","affiliation":[{"name":"School of Public Health, Fudan University, Shanghai, China"},{"name":"Songjiang Center for Disease Control and Prevention, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonggen","family":"Jiang","sequence":"additional","affiliation":[{"name":"Songjiang Center for Disease Control and Prevention, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoqin","family":"Guo","sequence":"additional","affiliation":[{"name":"Songjiang Center for Disease Control and Prevention, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiling","family":"Wu","sequence":"additional","affiliation":[{"name":"Songjiang Center for Disease Control and Prevention, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Genming","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Public Health, Fudan University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,7,21]]},"reference":[{"key":"e_1_3_7_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(08)61365-3"},{"key":"e_1_3_7_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2006.09.003"},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0040210"},{"key":"e_1_3_7_5_2","doi-asserted-by":"publisher","DOI":"10.2807\/ese.15.36.19658-en"},{"key":"e_1_3_7_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6947-10-14"},{"key":"e_1_3_7_7_2","first-page":"10","article-title":"A nationwide web-based automated system for outbreak early detection and rapid response in China","volume":"2","author":"Yang W","year":"2011","unstructured":"Yang W, Li Z, Lan Y, et al. A nationwide web-based automated system for outbreak early detection and rapid response in China. Western Pac Surveill Response J 2011; 2: 10\u201315.","journal-title":"Western Pac Surveill Response J"},{"key":"e_1_3_7_8_2","doi-asserted-by":"publisher","DOI":"10.2471\/BLT.13.130666"},{"key":"e_1_3_7_9_2","doi-asserted-by":"publisher","DOI":"10.3201\/eid1102.040587"},{"key":"e_1_3_7_10_2","first-page":"53","article-title":"A study of early detection for 8 communicable diseases by control graph method in Songjiang district of Shanghai, China","volume":"48","author":"Wang R","year":"2014","unstructured":"Wang R, Long Y, Liu H, et al. A study of early detection for 8 communicable diseases by control graph method in Songjiang district of Shanghai, China. Zhonghua Yu Fang Yi Xue Za Zhi 2014; 48: 53\u201357. 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The effectiveness of China infectious disease automated alert and response system (CIDARS) in local regions. 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