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School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study.

ABSTRACT: BACKGROUND:Nonpharmaceutical intervention strategy is significantly important to mitigate the coronavirus disease 2019 (COVID-19) spread. One of the interventions implemented by the government is a school closure. The Ministry of Education decided to postpone the school opening from March 2 to April 6 to minimize epidemic size. We aimed to quantify the school closure effect on the COVID-19 epidemic. METHODS:The potential effects of school opening were measured using a mathematical model considering two age groups: children (aged 19 years and younger) and adults (aged over 19). Based on susceptible-exposed-infectious-recovered model, isolation and behavior-changed susceptible individuals are additionally considered. The transmission parameters were estimated from the laboratory confirmed data reported by the Korea Centers for Disease Control and Prevention from February 16 to March 22. The model was extended with estimated parameters and estimated the expected number of confirmed cases as the transmission rate increased after school opening. RESULTS:Assuming the transmission rate between children group would be increasing 10 fold after the schools open, approximately additional 60 cases are expected to occur from March 2 to March 9, and approximately additional 100 children cases are expected from March 9 to March 23. After March 23, the number of expected cases for children is 28.4 for 7 days and 33.6 for 14 days. CONCLUSION:The simulation results show that the government could reduce at least 200 cases, with two announcements by the Ministry of education. After March 23, although the possibility of massive transmission in the children's age group is lower, group transmission is possible to occur.

SUBMITTER: Kim S

PROVIDER: S-EPMC7131906 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study.

Kim Soyoung S Kim Yae Jean YJ Peck Kyong Ran KR Jung Eunok E

Journal of Korean medical science 20200406 13

<h4>Background</h4>Nonpharmaceutical intervention strategy is significantly important to mitigate the coronavirus disease 2019 (COVID-19) spread. One of the interventions implemented by the government is a school closure. The Ministry of Education decided to postpone the school opening from March 2 to April 6 to minimize epidemic size. We aimed to quantify the school closure effect on the COVID-19 epidemic.<h4>Methods</h4>The potential effects of school opening were measured using a mathematical ...[more]

PMID: 32242349

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Project description:BackgroundThe absence of effective antiviral medications and vaccines increased the focus on non-pharmaceutical preventive behaviors for mitigating against the coronavirus disease 2019 (COVID-19) pandemic. To examine the current status of non-pharmaceutical preventive behaviors practiced during the COVID-19 outbreak and factors affecting behavioral activities, we compared to the 2015 Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in Korea.MethodsThis was a serial cross-sectional population-based study in Korea with four surveys conducted on June 2 and 25, 2015 (MERS-CoV surveys), and February 4, and April 2, 2020 (COVID-19 surveys). Of 25,711 participants selected using random digit dialing numbers, 4,011 participants (aged ≥ 18 years) were successfully interviewed, for the 2020 COVID-19 (n = 2,002) and 2015 MERS-CoV (n = 2,009) epidemics were included. Participants were selected post-stratification by sex, age, and province. The total number of weighted cases in this survey equaled the total number of unweighted cases at the national level. We measured the levels of preventive behaviors (social distancing [avoiding physical contact with others]), and practicing transmission-reducing behaviors such as wearing face mask and handwashing.ResultsBetween the surveys, respondents who reported practicing social distancing increased from 41.9%-58.2% (MERS-CoV) to 83.4%-92.3% (COVID-19). The response rate for the four surveys ranged between 13.7% and 17.7%. Practicing transmission-reducing behaviors (wearing face masks and handwashing) at least once during COVID-19 (78.8%, 80.2%) also increased compared to that during MERS-CoV (15.5%, 60.3%). The higher affective risk perception groups were more likely to practice transmission-reducing measures (adjusted odds ratio, 3.24-4.81; 95 confidence interval, 1.76-6.96) during both COVID-19 and MERS-CoV.ConclusionThe study findings suggest markedly increased proportions of non-pharmaceutical behavioral practices evenly across all subgroups during the two different novel virus outbreaks in Korea. Strategic interventions are needed to attempt based on preventive behavior works.

Project description:This work aims to provide insights on the COVID-19 pandemic in three prime aspects. First, we attempted to understand the association between the COVID-19 transmission rate, environmental factors (air pollution, weather, mobility), and socio-political parameters (Government Stringency Index, GSI). Second, we evaluated the efficiency of various strategies, including radical opening, intermittent lockdown, phase lift, and contact tracing, to exit the COVID-19 pandemic and get back to pre-pandemic conditions using a stochastic individual-based epidemiology model. Third, we used a deep learning approach and simulated the vaccination rate and the time for reaching herd immunity. The analysis was done based on the collected data from eight countries in Asia, including Iran, Turkey, India, Saudi Arabia, United Arab Emirates, the Philippines, South Korea, and Russia (as a transcontinental country). Our findings in the first part highlighted a noninfluential impact from the weather-driven parameters and short-term exposure to pollutants on the transmission rate; however, long-term exposure could potentially increase the risk of COVID-19 mortality rates (based on 1998-2017 p.m.2.5 data). Mobility was highly correlated with the COVID-19 transmission and based on our causal analysis reducing mobility could curb the COVID-19 transmission rate with a 6-day lag time (on average). Secondly, among all the tested policies for exiting the COVID-19 pandemic, the contact tracing was the most efficient if executed correctly. With a 2-day delay in tracing the virus hosts, a 60% successful host tracing, and a 70% contact reduction with the hosts, a pandemic will end in a year without overburdening a healthcare system with 6000 hospital beds capacity per million. Lastly, our vaccine simulations showed that the target date for achieving herd immunity significantly varied among the countries and could be delayed to October-november 2022 in countries like India and Iran (based on 60% immunized population and assuming no intermediate factors affecting the vaccination rate).

Dataset Information

School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study.

Publications

School Opening Delay Effect on Transmission Dynamics of Coronavirus Disease 2019 in Korea: Based on Mathematical Modeling and Simulation Study.

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