Economic Analysis of Border Control Policies during COVID-19 Pandemic: A Modelling Study to Inform Cross-Border Travel Policy between Singapore and Thailand

Author:

Cai Celestine Grace Xueting1ORCID,Lim Nigel Wei-Han1ORCID,Huynh Vinh Anh1ORCID,Ananthakrishnan Aparna2,Dabak Saudamini Vishwanath2,Dickens Borame Sue Lee1ORCID,Faradiba Dian2ORCID,KC Sarin2,Morton Alec3,Park Minah1,Rachatan Chayapat2,Sittimart Manit2ORCID,Wee Hwee-Lin14,Lou Jing1,Teerawattananon Yot12ORCID

Affiliation:

1. Saw Swee Hock School of Public Health, National University of Singapore (NUS), 12 Science Drive 2, #10-01, Singapore 117549, Singapore

2. Health Intervention and Technology Assessment Program (HITAP), Department of Health, Ministry of Public Health, 6th Floor, 6th Building, Tiwanon Road, Nonthaburi 11000, Thailand

3. Department of Management Science, University of Strathclyde, 16 Richmond Street, Glasgow G1 1XQ, UK

4. Department of Pharmacy, Faculty of Science, NUS, 18 Science Drive 4, Singapore 117559, Singapore

Abstract

With countries progressing towards high COVID-19 vaccination rates, strategies for border reopening are required. This study focuses on Thailand and Singapore, two countries that share significant tourism visitation, to illustrate a framework for optimizing COVID-19 testing and quarantine policies for bilateral travel with a focus on economic recovery. The timeframe is the month of October 2021, when Thailand and Singapore were preparing to reopen borders for bilateral travel. This study was conducted to provide evidence for the border reopening policy decisions. Incremental net benefit (INB) compared to the pre-opening period was quantified through a willingness-to-travel model, a micro-simulation COVID-19 transmission model and an economic model accounting for medical and non-medical costs/benefits. Multiple testing and quarantine policies were examined, and Pareto optimal (PO) policies and the most influential components were identified. The highest possible INB for Thailand is US $125.94 million, under a PO policy with no quarantine but with antigen rapid tests (ARTs) pre-departure and upon arrival to enter both countries. The highest possible INB for Singapore is US $29.78 million, under another PO policy with no quarantine on both sides, no testing to enter Thailand, and ARTs pre-departure and upon arrival to enter Singapore. Tourism receipts and costs/profits of testing and quarantine have greater economic impacts than that from COVID-19 transmission. Provided healthcare systems have sufficient capacity, great economic benefits can be gained for both countries by relaxing border control measures.

Funder

National Research Council of Thailand

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference49 articles.

1. World Bank (2022, March 15). International Tourism, Receipts (Current US$)—Thailand. Available online: https://data.worldbank.org/indicator/ST.INT.RCPT.CD?locations=TH.

2. Singapore Toursim Board (2022, March 15). Tourism Sector Performance Q4 2019 Report, Available online: https://www.stb.gov.sg/content/dam/stb/documents/statistics-marketing-insights/Quarterly-Tourism-Performance-Report/STB%20Q4%202019%20FA%20v7.pdf.

3. Thailand, I.B (2021, October 01). 2021, Available online: https://www.immigration.go.th/.

4. Board, S.T (2022, March 01). Tourism Receipts by Major Components, Available online: https://tablebuilder.singstat.gov.sg/table/TS/M550361.

5. Modelling International Travel Demand from Singapore to Australia;Lim;Anatolia,2003

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Are we past the COVID-19 Pandemic? Insights from Singapore;Health Policy and Technology;2023-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3