Back

Evaluating public health effects of risk-based travel policy for the COVID-19 epidemic in Scotland

McLachlan, I.; Huntley, S.; Leslie, K.; Bishop, J.; Redman, C.; Yebra, G.; Shaaban, S.; Christofidis, N.; Lycett, S.; Holden, M. T. G.; Robertson, D. L.; Smith-Palmer, A.; Hughes, J.; Nickbakhsh, S.

2023-08-21 epidemiology
10.1101/2023.08.20.23293987 medRxiv
Show abstract

BackgroundDecisions to impose temporary travel measures are less common as the global epidemiology of COVID-19 evolves. Risk-based travel measures may avoid the need for a complete travel ban, however evaluations of their effects are lacking. Here we investigated the public health effects of a temporary traffic light system introduced in the United Kingdom (UK) in 2021, imposing red-amber-green (RAG) status based on risk assessment. MethodsWe analysed data on international flight passengers arriving into Scotland, COVID-19 testing surveillance, and SARS-CoV-2 whole genome sequences to quantify effects of the traffic light system on (i) international travel frequency, (ii) travel-related SARS-CoV-2 case importations, (iii) national SARS-CoV-2 case incidence, and (iv) importation of novel SARS-CoV-2 variants. ResultsInternational flight passengers arriving into Scotland had increased by 754% during the traffic light period. Amber list countries were the most frequently visited and ranked highly for SARS-CoV-2 importations and contribution to national case incidence. Rates of international travel and associated SARS-CoV-2 cases varied significantly across age, health board, and deprivation groups. Multivariable logistic regression revealed SARS-CoV-2 cases detections were less likely among travellers than non-travellers, although increasing from green-to-amber and amber-to-red lists. When examined according to travel destination, SARS-CoV-2 importation risks did not strictly follow RAG designations, and red lists did not prevent establishment of novel SARS-CoV-2 variants. ConclusionsOur findings suggest that country-specific post-arrival screening undertaken in Scotland did not prohibit the public health impact of COVID-19 in Scotland. Travel rates likely contributed to patterns of high SARS-CoV-2 case importation and population impact.

Matching journals

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

1
Eurosurveillance
80 papers in training set
Top 0.1%
14.4%
2
Journal of Travel Medicine
18 papers in training set
Top 0.1%
10.1%
3
BMC Medicine
163 papers in training set
Top 0.2%
10.1%
4
The Lancet Regional Health - Europe
32 papers in training set
Top 0.1%
6.4%
5
Journal of Epidemiology and Community Health
32 papers in training set
Top 0.1%
4.9%
6
BMC Public Health
147 papers in training set
Top 0.9%
4.9%
50% of probability mass above
7
BMJ Open
554 papers in training set
Top 4%
4.9%
8
The Lancet Public Health
20 papers in training set
Top 0.1%
4.0%
9
Public Health
34 papers in training set
Top 0.1%
3.6%
10
Journal of Infection
71 papers in training set
Top 0.7%
2.7%
11
The Lancet Infectious Diseases
71 papers in training set
Top 1%
2.4%
12
Nature Communications
4913 papers in training set
Top 46%
2.1%
13
PLOS Medicine
98 papers in training set
Top 2%
1.8%
14
Clinical Infectious Diseases
231 papers in training set
Top 3%
1.7%
15
PLOS ONE
4510 papers in training set
Top 53%
1.7%
16
International Journal of Epidemiology
74 papers in training set
Top 1%
1.7%
17
JAMA Network Open
127 papers in training set
Top 3%
1.3%
18
Scientific Reports
3102 papers in training set
Top 68%
1.1%
19
Open Forum Infectious Diseases
134 papers in training set
Top 2%
0.9%
20
eClinicalMedicine
55 papers in training set
Top 1%
0.9%
21
European Journal of Public Health
20 papers in training set
Top 1.0%
0.8%
22
The Lancet Digital Health
25 papers in training set
Top 1%
0.7%
23
Emerging Infectious Diseases
103 papers in training set
Top 3%
0.7%
24
One Health
29 papers in training set
Top 1%
0.7%
25
Annals of Internal Medicine
27 papers in training set
Top 1%
0.6%
26
The Lancet Regional Health - Western Pacific
15 papers in training set
Top 0.3%
0.6%
27
BMJ
49 papers in training set
Top 2%
0.5%