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タイトル: | Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021 |
著者: | Murayama, Hiroaki Kayano, Taishi ![]() ![]() Nishiura, Hiroshi ![]() ![]() ![]() |
著者名の別形: | 茅野, 大志 西浦, 博 |
キーワード: | Statistical estimation Mutation Transmissibility Coronavirus Epidemiological model Mathematical model |
発行日: | 2021 |
出版者: | BMC Springer Nature |
誌名: | Theoretical Biology and Medical Modelling |
巻: | 18 |
論文番号: | 13 |
抄録: | [Background] In Japan, a part of confirmed patients’ samples have been screened for the variant of concern (VOC), including the variant alpha with N501Y mutation. The present study aimed to estimate the actual number of cases with variant alpha and reconstruct the epidemiological dynamics. [Methods] The number of cases with variant alpha out of all PCR confirmed cases was estimated, employing a hypergeometric distribution. An exponential growth model was fitted to the growth data of variant alpha cases over fourteen weeks in Tokyo. [Results] The weekly incidence with variant alpha from 18–24 January 2021 was estimated at 4.2 (95% confidence interval (CI): 0.7, 44.0) cases. The expected incidence in early May ranged from 420–1120 cases per week, and the reproduction number of variant alpha was on the order of 1.5 even under the restriction of contact from January-March, 2021, Tokyo. [Conclusions] The variant alpha was predicted to swiftly dominate COVID-19 cases in Tokyo, and this has actually occurred by May 2021. Devising the proposed method, any country or location can interpret the virological sampling data. |
著作権等: | © The Author(s) 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
URI: | http://hdl.handle.net/2433/277496 |
DOI(出版社版): | 10.1186/s12976-021-00146-x |
PubMed ID: | 34273991 |
出現コレクション: | 学術雑誌掲載論文等 |

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