Online platform for applying spaceâtime scan statistics for ...
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Online platform for applying spaceâtime scan statistics for ...
and JavaScript libraries. The web service is available at http://scan.geohealth.tw (Fig. 5). Results. To prospectively detect the ongoing transmission of DF at.
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International Journal of Health Geographics Open Access
RESEARCH
Online platform for applying space– time scan statistics for prospectively detecting emerging hot spots of dengue fever Chien‑Chou Chen1, Yung‑Chu Teng1, Bo‑Cheng Lin1, I‑Chun Fan1,2 and Ta‑Chien Chan1*
Abstract Background: Cases of dengue fever have increased in areas of Southeast Asia in recent years. Taiwan hit a recordhigh 42,856 cases in 2015, with the majority in southern Tainan and Kaohsiung Cities. Leveraging spatial statistics and geo-visualization techniques, we aim to design an online analytical tool for local public health workers to prospec‑ tively identify ongoing hot spots of dengue fever weekly at the village level. Methods: A total of 57,516 confirmed cases of dengue fever in 2014 and 2015 were obtained from the Taiwan Cent‑ ers for Disease Control (TCDC). Incorporating demographic information as covariates with cumulative cases (365 days) in a discrete Poisson model, we iteratively applied space–time scan statistics by SaTScan software to detect the currently active cluster of dengue fever (reported as relative risk) in each village of Tainan and Kaohsiung every week. A village with a relative risk >1 and p value
