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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/539| Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19) | |
| Asami Anzai Tetsuro Kobayashi Natalie M. Linton Ryo Kinoshita Katsuma Hayashi Ayako Suzuki Yichi Yang Sung-mok Jung Takeshi Miyama Andrei R. Akhmetzhanov Hiroshi Nishiura | |
| Acceso Abierto | |
| Atribución | |
| https://doi.org/10.3390/jcm9020601 | |
| Quarantine Infectious diseases Migration | |
| The impact of the drastic reduction in travel volume within mainland China in January and February 2020 was quantified with respect to reports of novel coronavirus (COVID-19) infection outside China. Data on confirmed cases diagnosed outside China were analyzed using statistical models to estimate the impact of travel reduction on three epidemiological outcome measures: the number of exported cases, the probability of a major epidemic, and the time delay to a major epidemic. From 28 January to 7 February 2020, we estimated that 226 exported cases (95% confidence interval: 86,449) were prevented, corresponding to a 70.4% reduction in incidence compared to the counterfactual scenario. The reduced probability of a major epidemic ranged from 7% to 20% in Japan, which resulted in a median time delay to a major epidemic of two days. Depending on the scenario, the estimated delay may be less than one day. As the delay is small, the decision to control travel volume through restrictions on freedom of movement should be balanced between the resulting estimated epidemiological impact and predicted economic fallout. | |
| Journal of Clinical Medicine | |
| 24-02-2020 | |
| Artículo | |
| https://www.mdpi.com/2077-0383/9/2/601 | |
| Inglés | |
| Epidemia COVID-19 | |
| Investigadores | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Assessing the Impact of Reduced Travel on Exportation Dynamics of Novel Coronavirus Infection (COVID-19).pdf | 1.4 MB | Adobe PDF | Visualizar/Abrir |