Braun Peter, Haffner Steffen, Woodcock Barry G
Int J Clin Pharmacol Ther. 2020 Aug;58(8):417-425. doi: 10.5414/CP203846.
Published data show that the current progression of the COVID-19 pandemic in Heidelberg, Germany, despite the current lockdown, could continue into 2021 and become more severe. We have used the modified Bateman SIZ algorithm to predict the effects of interventional measures to control the COVID-19 pandemic.
Model parameters, e.g., doubling time and rate of decrease in the number of infectious persons were obtained from published reports. Predictions were made for the status quo on June 1, 2020, and for interventional measures obtained for 4 scenarios. These included vaccination of the whole population using a SARS-CoV-2 vaccine having an efficacy of 50% and 100%, mass-testing for COVID-19 coronavirus and application of the Corona-Warn-App.
The principle findings were 1) without new measures to control the pandemic, the daily number of infectious persons could reach a peak of > 4,500 daily within 18 months when > 67,000 persons would have been infected. This could be prevented by using a vaccine with 50% efficacy which was almost equally effective as a vaccine with 100% efficacy. Application of the Corona-Warn-App was the most effective method and more effective than testing for COVID-19. The methodology used has been described in detail to enable other researchers to apply the modified Bateman SIZ model to obtain predictions for COVID-19 outbreaks in other regions. Application of the model has been verified by independent investigators using different commercial software packages.
The modified Bateman SIZ model has been verified and used to predict the course of the COVID-19 pandemic in Heidelberg. Lockdown measures alone are insufficient to control the pandemic during 2021. Vaccination, diagnostic tests, and use of the Corona-Warn-App with quarantine could successfully control the spread of the coronavirus infection in the community. The Corona-Warn-App applied correctly may be the most effective. The model showed that vaccination with 50% efficacy is almost as effective as vaccination with 100% efficacy.
已发表的数据表明,尽管目前实施了封锁措施,但德国海德堡的新冠疫情当前的发展态势可能会持续到2021年并变得更加严峻。我们使用改进后的贝特曼SIZ算法来预测控制新冠疫情的干预措施的效果。
模型参数,如倍增时间和感染人数的下降率,取自已发表的报告。对2020年6月1日的现状以及4种情景下的干预措施进行了预测。这些情景包括使用效力为50%和100%的新冠疫苗对全体人口进行接种、针对新冠病毒进行大规模检测以及应用新冠预警应用程序。
主要发现为:1)如果没有新的措施来控制疫情,在18个月内,每日感染人数可能会达到峰值,即每日超过4500人,届时将有超过67000人被感染。使用效力为50%的疫苗可以预防这种情况,其效果几乎与效力为100%的疫苗相同。应用新冠预警应用程序是最有效的方法,比新冠病毒检测更有效。已详细描述了所使用的方法,以使其他研究人员能够应用改进后的贝特曼SIZ模型来预测其他地区的新冠疫情爆发情况。该模型的应用已由独立研究人员使用不同的商业软件包进行了验证。
改进后的贝特曼SIZ模型已得到验证,并用于预测海德堡的新冠疫情发展过程。仅靠封锁措施不足以在2021年控制疫情。接种疫苗、进行诊断检测以及结合隔离使用新冠预警应用程序可以成功控制社区内冠状病毒感染的传播。正确应用的新冠预警应用程序可能是最有效的。该模型表明,效力为50%的疫苗接种效果几乎与效力为100%的疫苗接种效果相同。