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Application of Pandemic Intelligence in Dynamic Data in Taiwan
Tzu-Yin Chang1, Wen-Ray Su1, Hongey Chen1
1National Science and Technology Center for Disaster Reduction, New Taipei 23143, Taiwan.
International Journal of Environmental Research and Public Health
|September 28, 2021
Summary
Taiwan
Area of Science:
- Public Health
- Epidemiology
- Information Systems
Background:
- Taiwan effectively controlled COVID-19 in 2020.
- Comprehensive pandemic information was crucial for this success.
Purpose of the Study:
- To propose a pandemic intelligence system for real-time data analysis.
- To support preemptive control measures in pandemic management.
Main Methods:
- Developed a system integrating data on epidemic professionals, confirmed cases, hospital resources, and pharmacy inventories.
- Utilized crowd distribution and social-distance monitoring data.
- Applied the system to the 2020 Tomb-Sweeping Day holiday.
Main Results:
- Crowd distribution maps were the most frequently used layer.
- The system enabled real-time analysis of dynamic pandemic data.
- Demonstrated the system's utility in informing public health interventions.
Conclusions:
- Pandemic intelligence systems are vital for effective public health responses.
- Real-time data integration supports preemptive and dynamic pandemic management.
- Taiwan's approach highlights the importance of information systems in controlling infectious diseases.
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