Abstract

Recent COVID-19 outbreaks pose serious public health challenges all around the world. South Korea had experienced the early outbreak of the COVID-19 pandemic and implemented early effective interventions. The 2020 COVID-19 outbreak in South Korea showed spatial hot spots and super-spreading events. As a result of these super-spreading events, three huge outbreaks of the COVID-19 have occurred in Korea from February to December 2020. To capture the intrinsic nature of heterogeneity, an agent-based model has been developed focusing on early transmission dynamics of COVID-19 in South Korea. Based on the social empirical contact information of early confirmed cases of COVID-19, we have constructed a scale-free network. Our agent-based model has incorporated essential individual variability such as different contact numbers and infectivity levels. In the absence of vaccines or treatment, contact tracing, case-isolation, quarantine are the most critical interventions to prevent larger outbreaks. First, we investigate the impacts of critical factors on various epidemic outputs such as incidence and cumulative incidence. These critical factors include contact numbers, transmission rates, infectivity of presymptomatic or asymptomatic cases, and contact-tracing with quarantine intervention. Furthermore, the effectiveness of case isolation and contact-tracing (followed by quarantine) is evaluated under various scenarios. Our results indicate that case isolation combined with contact-tracing quarantine is much more effective under a moderate level of n}{}mathcal R_{0}n (smaller transmission rates or contact numbers) and presymptomatic cases. However, the efficacy of interventions reduces significantly for a higher level of n}{}mathcal R_{0}n (larger transmission rates or contact numbers) with a high level of infectivity (in presymptomatic cases). This highlights the key role of efficient contact-tracing and case-isolation to mitigate larger outbreaks or super-spreading events.

Highlights

  • A novel coronavirus (COVID-19) has been found in the city of Wuhan in the Hubei Province of China in December 2019, and the COVID-19 has rapidly spread to other parts of China and many other countries including South Korea

  • Our results indicate that case isolation combined with contact-tracing quarantine is much more effective under a moderate level of R0 and presymptomatic cases

  • We develop an agent-based model to incorporate the intrinsic nature of heterogeneity focusing on early transmission dynamics of COVID-19 in South Korea

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Summary

INTRODUCTION

A novel coronavirus (COVID-19) has been found in the city of Wuhan in the Hubei Province of China in December 2019, and the COVID-19 has rapidly spread to other parts of China and many other countries including South Korea. A social contact survey was used to develop an agent-based model They investigated the impacts of different close contacts on the distribution of secondary cases (by untraced infections) in the UK [24]. We develop an agent-based model to incorporate the intrinsic nature of heterogeneity focusing on early transmission dynamics of COVID-19 in South Korea. A high level of uncertainty and heterogeneity is common in generating secondary cases of emerging infectious diseases This is due to individual variations including social/behavioral features (different levels of contact patterns or numbers) and epidemiological characteristics (different levels of infectivity in presymptomatic or asymptomatic cases). We investigate the effectiveness of case isolation and contact-tracing (followed by quarantine) under various epidemic scenarios

DATA AND SOURCES
Background transmission rate
STOCHASTIC AGENT-BASED MODEL
SOCIAL CONTACT NETWORK AS A SCALE-FREE
CRITICAL FACTORS OF AGENT-BASED MODELING
SIMULATION RESULTS
THE IMPACT OF INDEX CASES ON THE BASIC
THE IMPACT OF CRITICAL FACTORS ON EPIDEMIC
THE IMPACT OF INTERVENTION STRATEGIES
RECENT COVID-19 TRANSMISSION DYNAMICS
DISCUSSIONS
CONCLUSIONS
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