| Literature DB >> 35886387 |
Nam-Gun Kim1, Hyeri Jang1, Seungkeun Noh1, Ju-Hee Hong1, Jongsoon Jung1, Jinho Shin1, Yongseung Shin1, Jongseong Kim2.
Abstract
The COVID-19 pandemic is recognized as one of the most serious global health problems, and many countries implemented lockdown measures to mitigate the effects of the crisis caused by this respiratory infectious disease. In this study, we investigated the relationship between social distancing policies and changes in traffic volume in Sinchon Station, South Korea. We used an official COVID-19 report provided by the Korea Disease Control and Prevention Agency (KCDA) and Seoul Metropolitan Government (SMG) to review social distancing policies, and the changes in traffic patterns before and during the COVID-19 pandemic between January 2020 and November 2021 were analyzed. Our study reveals that the changes in the overall traffic patterns from acceleration phases to deceleration phases of COVID-19 were related to the alert levels of social distancing policies implemented to tackle the situation resulting from the COVID-19 pandemic. Herein, we found that a significant decline in traffic volume took place from August to September 2020 (13.5-19.7%, weekday; 19.4-31.7%, weekend), from December 2020 to January 2021 (20.0%-26.6%, weekday; 26.8-34.0%, weekend), and from July to September 2021 (3.2-13.1%, weekday; 38.3-44.7%, weekend) when compared to the corresponding periods in 2019 (paired t-test; p < 0.001). The results of this study provide strong support for the effectiveness of Seoul's preemptive measures, namely, the central government's intensive social distancing campaign, in managing and reducing the impact of the pandemic situation based on the precise analysis of 10 types of facilities.Entities:
Keywords: COVID-19 pandemic; change traffic volume; social distancing policies
Mesh:
Year: 2022 PMID: 35886387 PMCID: PMC9318621 DOI: 10.3390/ijerph19148535
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1A simplied illustration of 5-way Sinchon Intersection (research site).
Implementation of Seoul-style precision disease control and prevention for 10 types of facilities and related studies.
| Category | Description | Relevant Studies |
|---|---|---|
| Religious facilities |
Participation in regular church and temple services at 20% capacity Recommendation of switching participation in regular church and temple services at 20% capacity to remote worship |
Yezli, Saber et al., 2021 [ Chang, Min Cheol et al., 2020 [ Vermeer, Paul et al., 2020 [ |
| Workplace |
Less than 50% working capacity and remote working recommended Recommendation to take preemptive testing for COVID-19 when people suffer similar symptoms 2 or more times a day or when 2–3 or more patients are confirmed |
Rafeemanesh et al., 2020 [ |
| Bath facilities |
Prohibition of eating food |
van Doremalen et al., 2020 [ Yezli, Saber et al., 2021 [ |
| Indoor sports |
Suspension of operation after 9 p.m. and operation of shower rooms Distance of 2 m maintained |
Blocken, Bert, et al., 2020 [ Setti, Leonardo et al., 2020 [ |
| Restaurants and |
Distance of 2 m between users maintained when waiting for orders and no talking while eating Installation of partition on counters or a distance of at least 1 m maintained between counters and customers |
Liu, Han, et al., 2020 [ |
| Door-to-door |
No serving of refreshments such as coffee and snacks All meetings ending within 20 min |
Kang, Seung-Ji, 2021 [ |
| Karaoke rooms |
Maximum of 1 user per 4 m2 per room Mandatory measuring of user’s body temperature |
Gu, Yuzhou, et al., 2021 [ |
| Internet cafes |
High partition to block droplets Prohibition of eating and drinking |
Kang, Yun Jung, et al., 2020 [ Cho Ryok Kang, et al., 2020 [ |
| Private academies |
Less than 50% user capacity |
Kim, Eun Young, et al., 2020 [ Dong, Yuanyuan, et al., 2020 [ |
| Social welfare |
Restrictions on visiting, going out, and staying out overnight |
Rickman, Hannah M., et al., 2021 [ Tagashira, Yasuaki, et al., 2021 [ |
Traffic volume decrease per month between February 2020 and November 2021 at Sinchon Station.
| Periods | Decrease Rate (%) 1) | Social-Distancing-Related Policies | ||
|---|---|---|---|---|
| Weekday | Weekend | |||
| 2020 | Feb. | 10.3 | 3.9 |
Raise crisis alert level to highest (23 February 2020) 3) Introduction of social distancing measures (29 February 2020) 3) |
| Mar. | 17.5 | 17.1 |
Public campaign under the slogan “Hold up! Let’s Take a Break from Social Life” (2 March 2020) 2) Implementation of enhanced social distancing (22 March 2020) 3) | |
| May | 12.9 | 9.2 |
The transition from “social distancing” to “distancing in daily life” (6 May 2020) 3) | |
| Aug. 4) | 13.5 | 19.4 |
Elevation of social distancing measures to level 2 (16 August 2020) 3) Implementation of 10 Million Citizens Stop Week (30 August 2020) 2) | |
| Oct. | 5.8 | 16.6 |
Social distancing measures downgraded to level 1 (30 October 2020) 3) | |
| Nov. | 11.3 | 14.0 |
Elevation of social distancing in Seoul Metropolitan Area to Level 1.5 (19 November 2020) 3) Declaration of emergency pause period for 10 million citizens (24 November 2020) 2) | |
| Dec. 4) | 20.0 | 26.8 |
Elevation of social distancing measures in Seoul Metropolitan Area to level 2.5 (8 December 2020) 3) | |
| 2021 | Feb. | 15.0 | 30.2 |
Social distancing measures downgraded to level 2 in Seoul Metropolitan Area (15 February 2021) 3) |
| Jun. | 10.5 | 26.7 |
Some incentives that ease restrictions for vaccinated people provided (1 July 2021) 3) | |
| Jul. 4) | 13.1 | 38.8 |
Elevation of social distancing in Seoul Metropolitan Area to level 4 (12 July 2021) 3) | |
| Nov. | 10.0 | 26.0 |
Gradual recovery to pre-pandemic life through the easing of social distancing measures (1 November 2021) 3) | |
1) Decrease rate (%) = (average traffic per month (2020 or 2021) ÷ (average traffic per month (2019) × 100). 2) These measures were implemented by the Seoul Metropolitan Government. 3) These measures were implemented by the Korean government. 4) Significant decline in traffic volume.
Figure 2Monthly number of confirmed COVID-19 cases in Seoul (source: https://www.seoul.go.kr/coronaV/coronaStatus.do (accessed on 25 May 2022)) and monthly decrease rates of traffic volume at Sinchon Station. The left y-axis corresponds to rate of traffic volume decrease, and the right y-axis corresponds to the number of confirmed COVID-19 cases. The black line and gray dotted line indicate the rates of traffic volume decrease between 2019 and 2020, and between 2019 and 2021, respectively.