估计感染变异α (VOC 202012/01)的COVID-19病例:对东京2021年1月至3月筛查数据的分析

Q1 Mathematics
Hiroaki Murayama, Taishi Kayano, Hiroshi Nishiura
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引用次数: 17

摘要

背景:日本对部分确诊患者样本进行了关注变异(VOC)筛查,其中包括N501Y突变的变异α。本研究旨在估计变异α的实际病例数,并重建流行病学动态。方法:采用超几何分布估计所有PCR确诊病例中变异α的病例数。用指数增长模型拟合了东京地区14周内变异α病例的增长数据。结果:从2021年1月18日至24日,变异α的每周发生率估计为4.2例(95%置信区间(CI): 0.7, 44.0)。5月初的预计发病率为每周420-1120例,即使在2021年1月至3月的接触限制下,变异α的繁殖数也在1.5左右。结论:预测变异α将迅速主导东京的COVID-19病例,而这实际上已于2021年5月发生。设计提出的方法,任何国家或地区都可以解释病毒学采样数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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.

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来源期刊
Theoretical Biology and Medical Modelling
Theoretical Biology and Medical Modelling MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.
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