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疫情示警平台技術地圖發展之研究—以登革熱病媒蚊孳生警告系統為例

摘要


本研究的目的是在開發一套能預測在特定的空間與時間條件下病媒蚊的繁殖與疫情關係的警示系統。登革熱發現至今已有200多年歷史,且無明顯特效藥物,因此只能由監控、隔離、撲滅等途徑來著手,而為了能有效的追蹤登革熱的爆發可能區域,必須建構預警系統,提供防疫機關作為決策支援,才能有效防治。本研究數據是從政府資料開放平台擷取登革熱相關資訊,並收集2010至2015間每日雨量、溫度、濕度等氣象資訊作群集分析,以及利用地理資訊座標作區塊定位,分析在區域內登革熱疫情與氣候因子間是否有相依性或特定關聯性。本系統除了大量數據分析之外,另一個特點是優良的視覺化界面,將資訊整合於前端頁面作視覺化呈現,較佳的輔助防疫機關進行疫情監控。

並列摘要


The purpose of this study is to develop a predictive information system to predict spatial/temporal mosquito reproduction and disease outbreaks. Dengue fever has been found for more than 200 years. There is no specific remedy or vaccine to control it. As a result, it can only tackled by isolation, control, wiping out and other administrative methods. In order to effectively monitor a region where there is a possibility of recurrence of dengue fever, the construction of a predictive system would help the authority to control disease outbreaks. The data used in this research are mainly dengue vector density indexes and daily meteorological information between 2010 and 2015 acquired from Taiwan Government Open Data Platform. The spatial/temporal relationships between larval density and dengue outbreaks were analyzed based on these historic data. The results were displayed on geographic systems to facilitate convenient visualization. Finally, the information was presented on frontend page to support the authority for monitoring and decision-making.

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