Abstract
A proposed countermeasure to COVID-19 is a robust healthcare system that can respond and identify transmission paths using information technology. This involves the use of smart city services for tracking an infected person. However, during the COVID-19 pandemic, the healthcare system could only provide data on the number of infected people. Additionally, smart city services could respond neither timely nor sequentially. This study proposed a method for timely and sequential responses, through a flexible combination of the healthcare system and smart city services by envisioning a scenario that sequentially grafts the current status of COVID-19 in Korea. The results are the following. First, the COVID-19 outbreak was summarized in the context of the healthcare system and current smart city services. A method by which the latter could respond to the various needs of the former was suggested. Second, recommendations on combining or dismissing certain smart city services, as per the needs of coping with COVID-19, were summarized. Third, smart city services must be utilized only for addressing pandemics, as data from the healthcare system consists of personal information. Therefore, smart city services for responding to COVID-19 must be flexible.
Highlights
A proposed countermeasure to COVID-19 is a robust healthcare system that can respond and identify transmission paths using information technology
It is imperative that the smart city project [14] be further developed into a system that can deal with future large-scale disasters
This enables monitoring people suspected of having COVID-19, and analyzing the increase in numbers, to determine whether the pertaining situation could develop into a pandemic
Summary
The outbreak of the COVID-19 pandemic in 2019 [1] changed people’s everyday lives throughout the world [2]. The development of IT has enabled countries to quickly adopt effective countermeasures employed in other countries [13] It is neither cost- nor time-effective to establish a new infrastructure and system for countering a novel disaster, such as a disease outbreak in cities. Smart city services can sort out this information within 10 min (first, the KCDCP verifies the patient’s information; second, the patient’s path of movement is confirmed using smart city services) [20,21] They have been able to transform the government’s COVID-19 response system into 28 real-time sub-systems of information [22]. Smart city services should have a time-series response structure to proactively prevent possible problems and respond on time They should be flexible in adding an essential service or removing an obsolete one, without any difficulty
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