Back

The effect of international travel restrictions on internal spread of COVID-19

Russell, T. W.; Wu, J.; Clifford, S.; Edmunds, J.; Kucharski, A. J.; Jit, M.

2020-07-14 epidemiology
10.1101/2020.07.12.20152298 medRxiv
Show abstract

BackgroundCountries have restricted international arrivals to delay the spread of COVID-19. These measures carry a high economic and social cost. They may have little impact on COVID-19 epidemics if there are many more cases resulting from local transmission compared to imported cases. MethodsTo inform decisions about international travel restrictions, we compared the ratio of expected COVID-19 cases from international travel (assuming no travel restrictions) to the expected COVID-19 cases arising from internal spread on an average day in May 2020 in each country. COVID-19 prevalence and incidence were estimated using a modelling framework that adjusts reported cases for under-ascertainment and asymptomatic infections. FindingsWith May 2019 travel volumes, imported cases account for <10% of total incidence in 103 (95% credible interval: 76 - 130) out of 142 countries, and <1% in 48 (95% CrI: 9 - 95). If we assume that travel would decrease compared to May 2019 even in the absence of formal restrictions, then imported cases account for <10% of total incidence in 109-123 countries and <1% in 61-88 countries (depending on the assumptions about travel reductions). InterpretationWhile countries can expect infected travellers to arrive in the absence of travel restrictions, in most countries these imported cases likely contribute little to local COVID-19 epidemics. Stringent travel restrictions may have limited impact on epidemic dynamics except in countries with low COVID-19 incidence and large numbers of arrivals from other countries. FundingWellcome Trust, UK Department for International Development, European Commission, National Institute for Health Research, Medical Research Council, Bill & Melinda Gates Foundation Research in contextO_ST_ABSEvidence before this studyC_ST_ABSCountries are at different stages of COVID-19 epidemics, so many have implemented policies to minimise the risk of importing cases via international travel. Such policies include border closures, flight suspensions, quarantine and self-isolation on international arrivals. Searching PubMed and MedRxiv using the search: ("covid" OR "coronavirus" OR "SARS-CoV-2") AND ("travel" OR "restrictions" OR "flight" OR "flights" OR "border") from 1 January - 10 July 2020 returned 118 and 84 studies respectively, of which 39 were relevant to our study. These studies either concentrated in detail on the risk of importation to specific countries or used a single epidemiological or travel dataset to estimate risk. Most of them focused on the risk of COVID-19 introduction from China or other countries with cases earlier in 2020. No study combined country-specific travel data, prevalence estimates and incidence estimates to assess the global risk of importation relative to current local transmission within countries. Added value of this studyWe combined data on airline passengers and flight frequencies with estimates of COVID-19 prevalence and incidence (adjusted for underreporting and asymptomatic cases), to estimate the risk of imported cases, relative to the level of local transmission in each country. This allows decision makers to determine where travel restriction policies make large contributions to slowing local transmission, and where they have very little overall effect. Implications of all the available evidenceIn most countries, imported cases would make a relatively small contribution to local transmission, so travel restrictions would have very little effect on epidemics. Countries where travel restrictions would have a large effect on local transmission are those with strong travel links to countries with high COVID-19 prevalence and/or countries which have successfully managed to control their local outbreaks.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Travel Medicine
18 papers in training set
Top 0.1%
21.8%
2
The Lancet Infectious Diseases
71 papers in training set
Top 0.1%
10.1%
3
BMJ Open
554 papers in training set
Top 4%
6.1%
4
Nature Communications
4913 papers in training set
Top 34%
4.7%
5
BMC Medicine
163 papers in training set
Top 0.8%
4.7%
6
PLOS Medicine
98 papers in training set
Top 1.0%
3.8%
50% of probability mass above
7
International Journal of Epidemiology
74 papers in training set
Top 0.7%
3.5%
8
Eurosurveillance
80 papers in training set
Top 0.3%
3.5%
9
Science
429 papers in training set
Top 9%
3.5%
10
The Lancet
16 papers in training set
Top 0.1%
3.5%
11
The Lancet Public Health
20 papers in training set
Top 0.2%
2.4%
12
JAMA Network Open
127 papers in training set
Top 1%
2.4%
13
Clinical Infectious Diseases
231 papers in training set
Top 2%
2.3%
14
New England Journal of Medicine
50 papers in training set
Top 0.3%
2.3%
15
The Lancet Global Health
24 papers in training set
Top 0.5%
2.0%
16
BMJ Global Health
98 papers in training set
Top 2%
1.6%
17
The Lancet Regional Health - Europe
32 papers in training set
Top 0.2%
1.4%
18
Emerging Infectious Diseases
103 papers in training set
Top 2%
1.2%
19
The Lancet Microbe
43 papers in training set
Top 0.9%
1.1%
20
Influenza and Other Respiratory Viruses
44 papers in training set
Top 0.3%
1.1%
21
BMJ
49 papers in training set
Top 0.9%
1.1%
22
PLOS ONE
4510 papers in training set
Top 63%
0.9%
23
The Lancet Digital Health
25 papers in training set
Top 1%
0.8%
24
Annals of Internal Medicine
27 papers in training set
Top 0.9%
0.8%
25
BMC Public Health
147 papers in training set
Top 6%
0.7%
26
eLife
5422 papers in training set
Top 60%
0.7%
27
Scientific Reports
3102 papers in training set
Top 77%
0.7%
28
Clinical Microbiology and Infection
60 papers in training set
Top 1%
0.7%
29
Public Health
34 papers in training set
Top 2%
0.6%