Songkhla's Battle Against COVID-19: An Interactive Dashboard for Assessing the Performance Management and the Prediction of New Cases
Conference proceedings article
ผู้เขียน/บรรณาธิการ
กลุ่มสาขาการวิจัยเชิงกลยุทธ์
รายละเอียดสำหรับงานพิมพ์
รายชื่อผู้แต่ง: Arromrit, Trirat; Jackson Wongsaroj, Prince Paris; Phangsee, Thanaphon; Piboon, Manisara; Rungnisakorn, Chanakarn;
Prom-On, Santitham; Mahikul, Wiriya
ปีที่เผยแพร่ (ค.ศ.): 2023
หน้าแรก: 502
หน้าสุดท้าย: 507
จำนวนหน้า: 6
ภาษา: English-Great Britain (EN-GB)
บทคัดย่อ
COVID-19 pandemic had a profound impact on multiple socioeconomic and public healthcare aspects in Songkhla, a province in Thailand including an economic recovery and tourism hub. To recover, appropriate management is required to prevent and control further outbreaks. This depends on available data and analysis and visualization for better policy-making and decisions. Thus, we develop an interactive dashboard for decision-making processes by analyzing multiple publicly available online data sources. To ensure accuracy and reliability, the data was cleaned and analyzed using three levels of analytics: description, diagnosis, and prediction of infected new cases using multiple linear regression. The result provides decision-makers with the necessary insights to make informed decisions. The analysis result also reveals a significant association between the total population, number of households, number of hospital beds, and proportion of vaccinated individuals with the number of new COVID-19 cases. The result of the Multiple linear regression had R-square and adjusted R-square values of 0.87 and 0.83 for the prediction model. The interactive dashboard assists local governments in evaluating the COVID-19 situation. The model is used for a preliminary assessment of the COVID-19 situation to more generalizable and accurate results. © 2023 IEEE.
คำสำคัญ
interactive dashboard, Performance Management
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