The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Rate of Underascertainment of Novel Coronavirus (2019-nCoV) Infection: Estimation Using Japanese Passengers Data on Evacuation Flights
Open accessAbstract
From 29 to 31 January 2020, a total of 565 Japanese citizens were evacuated from Wuhan, China on three chartered flights. All passengers were screened upon arrival in Japan for symptoms consistent with novel coronavirus (2019-nCoV) infection and tested for presence of the virus. Assuming that the mean detection window of the virus can be informed by the mean serial interval (estimated at 7.5 days), the ascertainment rate of infection was estimated at 9.2% (95% confidence interval: 5.0, 20.0). This indicates that the incidence of infection in Wuhan can be estimated at 20,767 infected individuals, including those with asymptomatic and mildly symptomatic infections. The infection fatality risk (IFR)—the actual risk of death among all infected individuals—is therefore 0.3% to 0.6%, which may be comparable to Asian influenza pandemic of 1957–1958.
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Cites
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Self-citationEstimating the burden of SARS-CoV-2 in France
Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science · doi:10.1126/science.abc3517 · Cited by 1,038
Levin, A. T., Hanage, W. P., Owusu-Boaitey, N., Cochran, K. B., Walsh, S. P., & Meyerowitz-Katz, G. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00698-1 · Cited by 844
Cited by
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17051729 · Cited by 9,923
Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis
Rodriguez-Morales, A. J., Cardona-Ospina, J. A., Gutiérrez-Ocampo, E., Villamizar-Peña, R., Holguin-Rivera, Y., Escalera-Antezana, J. P., Alvarado-Arnez, L. E., Bonilla-Aldana, D. K., Franco-Paredes, C., Henao-Martinez, A. F., et al. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101623 · Cited by 2,542
Self-citationSerial interval of novel coronavirus (COVID-19) infections
Nishiura, H., Linton, N. M., & Akhmetzhanov, A. R. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.02.060 · Cited by 1,083
Self-citationLevin, A. T., Hanage, W. P., Owusu-Boaitey, N., Cochran, K. B., Walsh, S. P., & Meyerowitz-Katz, G. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00698-1 · Cited by 844
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
Metadata
- Authors
- Nishiura, H., Kobayashi, T., Yang, Y., Hayashi, K., Miyama, T., Kinoshita, R., Linton, N., Jung, S.-M., Yuan, B., Suzuki, A., & Akhmetzhanov, A.
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2020-02-04
- Volume
- 9
- Issue
- 2
- Pages
- 419
- ISSN
- 2077-0383 (ISSN-L)
- OpenAlex
- W3004658686
- Cited by
- 286
- References
- 3
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: The Rate of Underascertainment of Novel Coronavirus (2019-nCoV) Infection: Estimation Using Japanese Passengers Data on Evacuation Flights. https://app.cochat.ai/papers/10.3390/jcm9020419
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- Nishiura, H., Kobayashi, T., Yang, Y., Hayashi, K., Miyama, T., Kinoshita, R., Linton, N., Jung, S.-M., Yuan, B., Suzuki, A., & Akhmetzhanov, A. (2020). The Rate of Underascertainment of Novel Coronavirus (2019-nCoV) Infection: Estimation Using Japanese Passengers Data on Evacuation Flights. Journal of Clinical Medicine. https://doi.org/10.3390/jcm9020419
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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