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. 2020 May-Jun:35:101699.
doi: 10.1016/j.tmaid.2020.101699. Epub 2020 Apr 25.

The effect of uncontrolled travelers and social distancing on the spread of novel coronavirus disease (COVID-19) in Colombia

Affiliations

The effect of uncontrolled travelers and social distancing on the spread of novel coronavirus disease (COVID-19) in Colombia

David Gómez-Ríos et al. Travel Med Infect Dis. 2020 May-Jun.
No abstract available

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Conflict of interest statement

Declaration of competing interest The authors declare that there is no conflict of interest or financial disclosure about this manuscript.

Figures

Fig. 1
Fig. 1
Simulation of exposed and infective [I] + [E], recovered [R], quarantined [Q] critical [C] and dead [D] people caused by COVID-19 in Colombia in a non-social distancing scenario. Dashed green line is the current projection of the infection curve. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Comment in

References

    1. Instituto Nacional de Salud de Colombia . 2020. COVID 2019 en Colombia.
    1. Migración Colombia . 2020. Flujos migratorios de Colombianos y extranjeros.
    1. Pan American Health Organization . 2017. Health in the Americas. Washington, D.C.
    1. Liu Y., Gayle A.A., Wilder-Smith A., Rocklöv J. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J Trav Med. 2020:1–4. doi: 10.1093/jtm/taaa021. - DOI - PMC - PubMed
    1. Peng L., Yang W., Zhang D., Zhuge C., Hong L. Epidemic analysis of COVID-19 in China by dynamical modeling. MedRxiv. 2020;2020 doi: 10.1101/2020.02.16.20023465. 02.16.20023465. - DOI