Vilar Jose M G, Saiz Leonor
Biofisika Institute (CSIC, UPV/EHU), University of the Basque Country (UPV/EHU), PO Box 644, 48080 Bilbao, Spain.
IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain.
R Soc Open Sci. 2021 Oct 6;8(10):210773. doi: 10.1098/rsos.210773. eCollection 2021 Oct.
Assessing a potential resurgence of an epidemic outbreak with certainty is as important as it is challenging. The low number of infectious individuals after a long regression, and the randomness associated with it, makes it difficult to ascertain whether the infectious population is growing or just fluctuating. We have developed an approach to compute confidence intervals for the switching time from decay to growth and to compute the corresponding multiple-location aggregated quantities over a region to increase the precision of the determination. We estimated the aggregate prevalence over time for Europe and the northeast United States to characterize the COVID-19 second surge in these regions during year 2020. We find a starting date as early as 3 July (95% confidence interval (CI): 1-6 July) for Europe and 19 August (95% CI: 16-23 August) for the northeast United States; subsequent infectious populations that, as of 31 December, have always increased or remained stagnant; and the resurgences being the collective effect of each overall region with no location, either country or state, dominating the regional dynamics by itself.
确定疫情爆发是否可能卷土重来既重要又具有挑战性。经过长时间消退后感染个体数量较少,且与之相关的随机性,使得很难确定感染人群是在增长还是仅仅在波动。我们开发了一种方法,用于计算从衰退到增长的转换时间的置信区间,并计算一个区域内相应的多地点汇总数量,以提高确定的精度。我们估计了欧洲和美国东北部随时间推移的总体患病率,以描述2020年这些地区新冠疫情的第二次激增情况。我们发现欧洲最早的起始日期为7月3日(95%置信区间(CI):7月1日至6日),美国东北部为8月19日(95%CI:8月16日至23日);截至12月31日,随后的感染人群数量一直在增加或保持停滞;疫情的再次爆发是每个整体区域的共同作用,没有任何一个国家或州主导区域动态。