Travel restrictions in the rising COVID-19 pandemic

Xue, William; Lam, Cynthia Sin Nga; Yeung, Hing‐Yuen; Wong, Chit Ming; Chan, Venus Ly; Ys, Wong

doi:10.12809/hkmj208554

Cited by 3 publications

(5 citation statements)

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“…This finding corresponds with data from global surveillance that indicate this lineage has been circulating over a wide geographic range beginning in December 2020. The second VOC, B.1.351 (Beta), which was first reported to circulate widely in South Africa beginning in November 2020 ( 8 ), we first detected on December 16 in an arriving passenger with a recent travel history in the United Kingdom and South Africa ( 1 ). Subsequent cases caused by this variant were detected only in March 2021 in travelers from the Philippines ( 5 ) and Bangladesh ( 1 ).…”

Section: The Studymentioning

confidence: 82%

“…Hong Kong uses an elimination strategy to control coronavirus disease (COVID-19) that includes stringent travel restrictions to reduce the risk of introducing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into local communities ( 1 ). COVID-19 testing was mandated on departure and arrival for all inbound travelers.…”

mentioning

confidence: 99%

“…The second VOC, B.1.351 (Beta), which was first reported to circulate widely in South Africa beginning in November 2020 (8), we first detected on December 16 in an arriving passenger with a recent travel history in the United Kingdom and South Africa (1). Subsequent cases caused by this variant were detected only in March 2021 in travelers from the Philippines (5) and Bangladesh (1). All 3 of the VOI we detected were imported from the countries where they were first reported to have emerged: Fifty percent of our cases were imported from 5 middle-income countries in Asia: India, Indonesia, Nepal, Pakistan, and the Philippines (https://databank.worldbank.org/data/download/site-content/ CLASS.xls; Appendix Table 1).…”

mentioning

confidence: 99%

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Genetic Diversity of SARS-CoV-2 among Travelers Arriving in Hong Kong

Gu¹,

Chu²,

Chang³

et al. 2021

Emerg. Infect. Dis.

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Section: The Studymentioning

confidence: 82%

mentioning

confidence: 99%

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confidence: 99%

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Genetic Diversity of SARS-CoV-2 among Travelers Arriving in Hong Kong

Gu¹,

Chu²,

Chang³

et al. 2021

Emerg. Infect. Dis.

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“…In March 2020, 47 countries did not allow commercial flights to land [ 11 ]. Moreover, it became necessary to develop an international framework to outline the method, time, and scale of travel restrictions according to the stage of the epidemic [ 12 ]. A cross-sectional study suggests that issuing a stay-at-home ban may help limit the spread of COVID-19 cases [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

What matters: non-pharmaceutical interventions for COVID-19 in Europe

Yan

Wen

et al. 2022

Antimicrob Resist Infect Control

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Objectives The purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We calculated the Rt values of 51 countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For the selected variables, we used quantile regression to analyse the relevant influencing factors in countries with different levels of morbidity or mortality. Results The government has a great influence on the change in Rt value through prevention and control measures. The most important factors for personal and group prevention and control are the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic. Conclusions We described the current status of COVID-19 in European countries. Our findings demonstrated key factors in individual and group prevention measures.

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“…Travel-related control measures limit the mobility of potential human carriers of infection when crossing national (and, in principle, also sub-national) borders with the aim of reducing or delaying the spread of an infectious disease across, or within countries (13,14). In addition to implementing measures related to International Health Regulations (IHR), many countries around the world have used different national and international area-specific risk profiling schemes to inform decisions related to COVID-19 response, travels and security (2,(15)(16)(17)(18)(19)(20). High risk areas classification schemes are systems that categorize countries or areas based on risk alongside the internal and international restrictions required for travel in order to protect the transmission of COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Classification Schemes of COVID-19 High Risk Areas and Resulting Policies: A Rapid Review

Uthman

Adetokunboh

Wiysonge

et al. 2022

Front. Public Health

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The COVID-19 pandemic has posed a significant global health threat since January 2020. Policies to reduce human mobility have been recognized to effectively control the spread of COVID-19; although the relationship between mobility, policy implementation, and virus spread remains contentious, with no clear pattern for how countries classify each other, and determine the destinations to- and from which to restrict travel. In this rapid review, we identified country classification schemes for high-risk COVID-19 areas and associated policies which mirrored the dynamic situation in 2020, with the aim of identifying any patterns that could indicate the effectiveness of such policies. We searched academic databases, including PubMed, Scopus, medRxiv, Google Scholar, and EMBASE. We also consulted web pages of the relevant government institutions in all countries. This rapid review's searches were conducted between October 2020 and December 2021. Web scraping of policy documents yielded additional 43 country reports on high-risk area classification schemes. In 43 countries from which relevant reports were identified, six issued domestic classification schemes. International classification schemes were issued by the remaining 38 countries, and these mainly used case incidence per 100,000 inhabitants as key indicator. The case incidence cut-off also varied across the countries, ranging from 20 cases per 100,000 inhabitants in the past 7 days to more than 100 cases per 100,000 inhabitants in the past 28 days. The criteria used for defining high-risk areas varied across countries, including case count, positivity rate, composite risk scores, community transmission and satisfactory laboratory testing. Countries either used case incidence in the past 7, 14 or 28 days. The resulting policies included restrictions on internal movement and international travel. The quarantine policies can be summarized into three categories: (1) 14 days self-isolation, (2) 10 days self-isolation and (3) 14 days compulsory isolation.

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Travel restrictions in the rising COVID-19 pandemic

Cited by 3 publications

References 0 publications

Genetic Diversity of SARS-CoV-2 among Travelers Arriving in Hong Kong

Genetic Diversity of SARS-CoV-2 among Travelers Arriving in Hong Kong

What matters: non-pharmaceutical interventions for COVID-19 in Europe

Classification Schemes of COVID-19 High Risk Areas and Resulting Policies: A Rapid Review

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