The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions
Open accessAbstract
Since the emergence of the first cases in Wuhan, China, the novel coronavirus (2019-nCoV) infection has been quickly spreading out to other provinces and neighboring countries. Estimation of the basic reproduction number by means of mathematical modeling can be helpful for determining the potential and severity of an outbreak and providing critical information for identifying the type of disease interventions and intensity. A deterministic compartmental model was devised based on the clinical progression of the disease, epidemiological status of the individuals, and intervention measures. The estimations based on likelihood and model analysis show that the control reproduction number may be as high as 6.47 (95% CI 5.71–7.23). Sensitivity analyses show that interventions, such as intensive contact tracing followed by quarantine and isolation, can effectively reduce the control reproduction number and transmission risk, with the effect of travel restriction adopted by Wuhan on 2019-nCoV infection in Beijing being almost equivalent to increasing quarantine by a 100 thousand baseline value. It is essential to assess how the expensive, resource-intensive measures implemented by the Chinese authorities can contribute to the prevention and control of the 2019-nCoV infection, and how long they should be maintained. Under the most restrictive measures, the outbreak is expected to peak within two weeks (since 23 January 2020) with a significant low peak value. With travel restriction (no imported exposed individuals to Beijing), the number of infected individuals in seven days will decrease by 91.14% in Beijing, compared with the scenario of no travel restriction.
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Cites
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
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SARS and MERS: recent insights into emerging coronaviruses
de Wit, E., van Doremalen, N., Falzarano, D., & Munster, V. J. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.81 · Cited by 3,510
Kwok, K. O., Tang, A., Wei, V. W. I., Park, W. H., Yeoh, E. K., & Riley, S. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.01.003 · Cited by 172 · cited 2×
“These outbreaks have resulted in more than 8000 and 2200 confirmed SARS and MERS cases, respectively [8].”
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Cited by
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
Gatto, M., Bertuzzo, E., Mari, L., Miccoli, S., Carraro, L., Casagrandi, R., & Rinaldo, A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2004978117 · Cited by 1,051
Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study
Kretzschmar, M. E., Rozhnova, G., Bootsma, M. C. J., van Boven, M., van de Wijgert, J. H. H. M., & Bonten, M. J. M. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30157-2 · Cited by 697
Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19
Gostic, K., Gomez, A. C., Mummah, R. O., Kucharski, A. J., & Lloyd-Smith, J. O. (2020) · eLife · doi:10.7554/elife.55570 · Cited by 417
Estimation of the time-varying reproduction number of COVID-19 outbreak in China
You, C., Deng, Y., Hu, W., Sun, J., Lin, Q., Zhou, F., Pang, C. H., Zhang, Y., Chen, Z., & Zhou, X.-H. (2020) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2020.113555 · Cited by 310
Billah, M. A., Miah, M. M., & Khan, M. N. (2020) · PLOS ONE · doi:10.1371/journal.pone.0242128 · Cited by 260
Metadata
- Authors
- Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J.
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2020-02-07
- Volume
- 9
- Issue
- 2
- Pages
- 462
- ISSN
- 2077-0383 (ISSN-L)
- OpenAlex
- W3007580879
- Cited by
- 1,368
- References
- 4
- FWCI
- 48.57
- Type
- journal article
- Language
- en
- Open access
- gold
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- Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J. (2020). Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. Journal of Clinical Medicine. https://doi.org/10.3390/jcm9020462
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.