The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Science·
- DOI
- 10.1126/science.aba9757
- PMID
- 32144116
- PMCID
- PMC7164386
- OpenAlex
- W3010131837
- Study type
- Mathematical modelling
- Publisher
- American Association for the Advancement of Science (AAAS)
- Article type
- journal-article
- Integrity
- current
Publication version
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Open linked preprint →Why this research matters now
The findings inform public health strategies for pandemic response by comparing the relative effectiveness of travel restrictions versus individual-level interventions such as early detection, hygiene, and household quarantine.
Structured evidence summary
Research question
The study examined how travel restrictions and quarantine measures influenced the geographic spread and temporal dynamics of the early COVID-19 outbreak.
Study design
A global metapopulation disease transmission model was applied to epidemiological data from China to simulate the effect of travel quarantine and international travel restrictions.
Population and setting
The model used epidemiological data from China during the early COVID-19 outbreak, with focus on the travel quarantine introduced in Wuhan on January 23, 2020, and international travel restrictions.
Main findings
The Wuhan travel quarantine delayed epidemic progression by only 3 to 5 days within China. International travel restrictions helped slow the spread to other countries until mid-February. The modeling suggested that early detection, hand washing, self-isolation, and household quarantine would likely be more effective than travel restrictions.
Public-health relevance
The findings inform public health strategies for pandemic response by comparing the relative effectiveness of travel restrictions versus individual-level interventions such as early detection, hygiene, and household quarantine.
Important limitations
This summary is limited to the supplied single-article abstract and metadata. Decision-grade interpretation requires review of the original paper, including model assumptions, parameter choices, sensitivity analyses, and data quality assessments.
GIDS interpretation
The paper was indexed with links to COVID-19, SARS, China, outbreak investigation, transmission dynamics, and travel medicine, making it discoverable through queries on early pandemic interventions and spatial spread of emerging respiratory pathogens.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 8 auditable classifier relationships to diseases, places, topics, and study design.