| Literature DB >> 34647863 |
Bingyi Yang, Sheena G Sullivan, Zhanwei Du, Tim K Tsang, Benjamin J Cowling.
Abstract
During the coronavirus disease pandemic, international travel controls have been widely adopted. To determine the effectiveness of these measures, we analyzed data from 165 countries and found that early implementation of international travel controls led to a mean delay of 5 weeks in the first epidemic peak of cases.Entities:
Keywords: 2019 novel coronavirus disease; COVID-19; SARS-CoV-2; border control; coronavirus disease; epidemiology; respiratory infections; severe acute respiratory syndrome coronavirus 2; viruses; zoonoses
Mesh:
Year: 2021 PMID: 34647863 PMCID: PMC8714230 DOI: 10.3201/eid2801.211944
Source DB: PubMed Journal: Emerg Infect Dis ISSN: 1080-6040 Impact factor: 6.883
FigureAssociation between international travel controls and local coronavirus disease (COVID-19) outbreaks in 165 countries, January 1–July 31, 2020. A) Temporal distribution of the international travel controls enacted by the studied countries. Data from (). B) Distribution of the time between a country’s first COVID-19 case and its enactment of any or of the strongest international travel controls. C, D) Probability of reaching first local peak of COVID-19 cases by the time of implementing any (C) or the strongest (D) international travel controls, estimated by using the Kaplan-Meier survival function. Vertical dashed lines in panels B, C, and D indicate the date that Wuhan, China, underwent lockdown; vertical dotted lines indicate the date that the pandemic was declared.
Estimated time ratios and hazard ratios for comparing selected outcomes in countries that did and did not implement international controls before identifying their first cases of COVID-19, January–July 2020*
| Endpoint | Adjusted time ratio (95% CI)† | Adjusted hazard ratio (95% CI)‡ | |||
|---|---|---|---|---|---|
| Any international controls | The strongest international controls | Any international controls | The strongest international controls | ||
| Case peak | 1.22 (1.06–1.41) | 1.31 (1.02–1.68) | 0.66 (0.46–0.93) | 0.65 (0.39–1.08) | |
| Death peak | 1.23 (1.01–1.51) | 0.98 (0.71–1.37) |
| 0.74 (0.53–1.04) | 0.90 (0.53–1.55) |
| Cumulative incidence, no. cases/10,000 population | |||||
| 0.2 | 1.20 (1.10–1.31) | 1.23 (1.05–1.44) | 0.55 (0.38–0.78) | 0.61 (0.35–1.04) | |
| 1.0 | 1.26 (1.13–1.42) | 1.27 (1.04–1.55) | 0.49 (0.35–0.71) | 0.90 (0.53–1.51) | |
| 5.0 | 1.25 (1.05–1.49) | 1.34 (0.99–1.82) | 0.59 (0.41–0.85) | 0.90 (0.54–1.51) | |
*AFT, accelerated failure time; COVID-19, coronavirus disease. †Estimates were obtained from accelerated failure time models with log-logistic distribution, adjusted for population density and the strictest level of each nonpharmaceutical intervention used during the study period for each country. The 2 columns show time ratio of implementing international controls before the country’s first COVID-19 case to that after the country’s first case. ‡Estimates were obtained from Cox proportional hazard models, which adjusted for population density and time-varying nonpharmaceutical interventions during the study period for each country. The 2 columns show hazard ratio of implementing international controls before the country’s first COVID-19 case to that after the country’s first case.