論文

国際誌
2021年7月17日

Estimating COVID-19 cases infected with the variant alpha (VOC 202012/01): an analysis of screening data in Tokyo, January-March 2021.

Theoretical biology & medical modelling
  • Hiroaki Murayama
  • ,
  • Taishi Kayano
  • ,
  • Hiroshi Nishiura

18
1
開始ページ
13
終了ページ
13
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1186/s12976-021-00146-x
出版者・発行元
Springer Science and Business Media LLC

<title>Abstract</title><sec>
<title>Background</title>
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.


</sec><sec>
<title>Methods</title>
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.


</sec><sec>
<title>Results</title>
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.


</sec><sec>
<title>Conclusions</title>
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.


</sec>

リンク情報
DOI
https://doi.org/10.1186/s12976-021-00146-x
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/34273991
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8286039
URL
https://link.springer.com/content/pdf/10.1186/s12976-021-00146-x.pdf
URL
https://link.springer.com/article/10.1186/s12976-021-00146-x/fulltext.html
ID情報
  • DOI : 10.1186/s12976-021-00146-x
  • eISSN : 1742-4682
  • PubMed ID : 34273991
  • PubMed Central 記事ID : PMC8286039

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