Literature DB >> 32855037

Combined interventions to suppress R0 and border quarantine to contain COVID-19 in Taiwan.

Yi-Hsuan Chen1, Chi-Tai Fang2.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32855037      PMCID: PMC7413087          DOI: 10.1016/j.jfma.2020.08.003

Source DB:  PubMed          Journal:  J Formos Med Assoc        ISSN: 0929-6646            Impact factor:   3.282


× No keyword cloud information.
Taiwan first detected the outbreak news on human-to-human transmission of coronavirus disease 2019 (COVID-19) at Wuhan, China, on December 31, 2019. In responding to this unprecedented crisis, a critical uncertainty in national policy level is whether human-to-human transmission of this novel virus can be contained without the use of strict border quarantine, which aims to completely prevent domestic transmission from imported COVID-19 cases but will severely impact the economy. To inform policymaking, we modelled the effect of interventions to block the transmission of SARS-CoV-2. Success in containment is defined as the suppression of basic reproduction number (R0) to less than 1. We considered the worst-case scenario, including a high R0 value of 6.4, a mean pre-symptomatic transmissible duration of 2.5-day, and a 10% asymptomatic ratio (see Supplementary Appendix). The modelling results showed that, despite the presence of asymptomatic transmission of SARS-CoV-2, a COVID-19 epidemic is readily containable by a combined strategy of test-and-isolation, contact tracing and general public surgical mask-wearing/social distancing to achieve an R0 less than 1 (Fig. 1 , Panel A).
Figure 1

Effect of Interventions. Panel A shows basic reproduction number (R0). Left Panel: under combinations of different levels of contact tracing (with a mean time of two days from onset of symptoms to isolation) and surgical mask-wearing (or social distancing); Right Panel: without surgical mask-wearing or social distancing. Panel B shows the daily number of new domestic infections under containing efforts using a combined strategy: (1) test-and-isolation and contact tracing: taking an average of 2 days from the onset of symptoms to isolation, and tracing 75% contacts of detected cases; plus (2) halving social contacts or half of the people wearing surgical mask, with daily importation of 1, 5, or 10 infected persons (in incubation period). Panel C shows the cumulative numbers (of detected cases) needed to isolate or hospitalize (upper Panel) and the cumulative numbers (of contacts) needed to quarantine (lower Panel) during the period from Day 1 to Day 90, with daily importation of 1, 5, or 10 infected persons in incubation period.

Effect of Interventions. Panel A shows basic reproduction number (R0). Left Panel: under combinations of different levels of contact tracing (with a mean time of two days from onset of symptoms to isolation) and surgical mask-wearing (or social distancing); Right Panel: without surgical mask-wearing or social distancing. Panel B shows the daily number of new domestic infections under containing efforts using a combined strategy: (1) test-and-isolation and contact tracing: taking an average of 2 days from the onset of symptoms to isolation, and tracing 75% contacts of detected cases; plus (2) halving social contacts or half of the people wearing surgical mask, with daily importation of 1, 5, or 10 infected persons (in incubation period). Panel C shows the cumulative numbers (of detected cases) needed to isolate or hospitalize (upper Panel) and the cumulative numbers (of contacts) needed to quarantine (lower Panel) during the period from Day 1 to Day 90, with daily importation of 1, 5, or 10 infected persons in incubation period. Of particular interest is the role of border quarantine in containing COVID-19. Our results showed that, without border quarantine, a combination of test-and-isolation, contact tracing, and general public mask-wearing/social-distancing theoretically can suppress R0 to below 1, and therefore, would prevent the imported cases-initiated domestic transmission from escalating into an exponential growth (Fig. 1, Panel B). However, the number of domestically infected people needed to isolate/hospitalize and the number of their contacts needed to quarantine rapidly rise as daily imported cases increase (Fig. 1, Panel C). When the burden of these tasks exceeds the local medical/public health capacity of a place, domestic transmission becomes uncontainable in practice. Imposing an effective border quarantine, to minimize transmission from imported cases and preserve medical and public health systems from being overwhelmed and collapsing, thus is an essential precondition for a successful containing of COVID-19 in a sovereign country. Taiwan started border quarantine immediately after detecting COVID-19 outbreak news at Wuhan on December 31, 2019. All passengers from case-exporting regions were put under quarantine for 14 days upon entry. , Based on pandemic forecasting, Taiwan suspended the entry of all mainland Chinese residents on February 6, 2020. The suspension extended to all foreigners on March 19, 2020. In the following months, when more than 600,000 people died from COVID-19 globally, Taiwan successfully contained it, with only 55 confirmed domestic cases (the last occurred on April 13, 2020) and 7 deaths by July 22, 2020, after testing 79,951 people. Free from domestic COVID-19 cases for three months, the surge in domestic travel compensates the loss of international tourists in a robust recovery of economy. This modelling work did not assess the impact of algorithms aiming to shorten the duration of standard 14-days quarantine through PCR testing before and upon arrival. False negative testing result during incubation period is the Achilles’ heel of test-based algorithms. The recent renewed large COVID-19 outbreaks in previously well-controlled places, like Australia and Hong Kong, highlight the inherent risk of such approach.

Declaration of competing interest

The authors have no conflicts of interest relevant to this article.
  6 in total

1.  Spatiotemporal impact of COVID-19 on Taiwan air quality in the absence of a lockdown: Influence of urban public transportation use and meteorological conditions.

Authors:  Yong Jie Wong; Huan-Yu Shiu; Jackson Hian-Hui Chang; Maggie Chel Gee Ooi; Hsueh-Hsun Li; Ryosuke Homma; Yoshihisa Shimizu; Pei-Te Chiueh; Luksanaree Maneechot; Nik Meriam Nik Sulaiman
Journal:  J Clean Prod       Date:  2022-06-27       Impact factor: 11.072

2.  International travel-related control measures to contain the COVID-19 pandemic: a rapid review.

Authors:  Jacob Burns; Ani Movsisyan; Jan M Stratil; Renke Lars Biallas; Michaela Coenen; Karl Mf Emmert-Fees; Karin Geffert; Sabine Hoffmann; Olaf Horstick; Michael Laxy; Carmen Klinger; Suzie Kratzer; Tim Litwin; Susan Norris; Lisa M Pfadenhauer; Peter von Philipsborn; Kerstin Sell; Julia Stadelmaier; Ben Verboom; Stephan Voss; Katharina Wabnitz; Eva Rehfuess
Journal:  Cochrane Database Syst Rev       Date:  2021-03-25

3.  The specialty-variation effect on the utilization of outpatient service at the COVID-contained hospitals in Taiwan.

Authors:  Jia-Yu Chen; Yu-Chuan Liu; Po-Chang Lee; Wan-Ching Lien
Journal:  J Formos Med Assoc       Date:  2021-05-06       Impact factor: 3.282

4.  Learning from the past: Taiwan's responses to COVID-19 versus SARS.

Authors:  Muh-Yong Yen; Yung-Feng Yen; Shey-Ying Chen; Ting-I Lee; Guan-Han Huang; Ta-Chien Chan; Tsung-Hua Tung; Le-Yin Hsu; Tai-Yuan Chiu; Po-Ren Hsueh; Chwan-Chuen King
Journal:  Int J Infect Dis       Date:  2021-06-04       Impact factor: 3.623

5.  Association of public health interventions and COVID-19 incidence in Vietnam, January to December 2020.

Authors:  Ha-Linh Quach; Khanh Cong Nguyen; Ngoc-Anh Hoang; Thai Quang Pham; Duong Nhu Tran; Mai Thi Quynh Le; Hung Thai Do; Chien Chinh Vien; Lan Trong Phan; Nghia Duy Ngu; Tu Anh Tran; Dinh Cong Phung; Quang Dai Tran; Tan Quang Dang; Duc-Anh Dang; Florian Vogt
Journal:  Int J Infect Dis       Date:  2021-07-28       Impact factor: 3.623

6.  Effect of Non-lockdown Social Distancing and Testing-Contact Tracing During a COVID-19 Outbreak in Daegu, South Korea, February to April 2020: A Modeling Study.

Authors:  Yi-Hsuan Chen; Chi-Tai Fang; Yu-Ling Huang
Journal:  Int J Infect Dis       Date:  2021-07-29       Impact factor: 3.623

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.