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Development and Utilization of a Rapid and Accurate Epidemic Investigation Support System for COVID-19

Young Joon ParkKorea Centers for Disease Control and Prevention, Cheongju, KoreaSang Yun ChoKorea Centers for Disease Control and Prevention, Cheongju, KoreaJin LeeKorea Centers for Disease Control and Prevention, Cheongju, KoreaIkjin LeeMinistry of Land, Infrastructure and Transport, Sejong, KoreaWon Ho ParkMinistry of Land, Infrastructure and Transport, Sejong, KoreaSeungMyeong JeongKorea Electronics Technology Institute, Seongnam, KoreaSeongyun KimKorea Electronics Technology Institute, Seongnam, KoreaSeokjun LeeKorea Electronics Technology Institute, Seongnam, KoreaJaeho KimKorea Electronics Technology Institute, Seongnam, KoreaOk ParkKorea Centers for Disease Control and Prevention, Cheongju, Korea

2020en

ABI

Annotatsiya

OBJECTIVES: In this pandemic situation caused by a novel coronavirus disease in 2019 (COVID-19), an electronic support system that can rapidly and accurately perform epidemic investigations, is needed. It would systematically secure and analyze patients' data (who have been confirmed to have the infection), location information, and credit card usage. METHODS: The "Infectious Disease Prevention and Control Act" in South Korea, established a legal basis for the securement, handling procedure, and disclosure of information required for epidemic investigations. The Epidemic Investigation Support System (EISS) was developed as an application platform on the Smart City data platform. RESULTS: The EISS performed the function of inter-institutional communication which reduced the processing period of patients' data in comparison to other methods. This system automatically marked confirmed cases' tracking data on a map and hot-spot analysis which lead to the prediction of areas where people may be vulnerable to infection. CONCLUSION: The EISS was designed and implemented for use during an epidemic investigation to prevent the spread of an infectious disease, by specifically tracking confirmed cases of infection.

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Identifikatorlar

DOI: 10.24171/j.phrp.2020.11.3.06

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