Department of Mechanical Engineering, National Cheng Kung University, Tainan, 701, Taiwan.
Sci Rep. 2024 Mar 19;14(1):6596. doi: 10.1038/s41598-024-56692-0.
Accurate forecasting of community outbreaks is crucial for governments to allocate healthcare resources correctly and implement suitable non-pharmaceutical interventions. Additionally, companies must address critical questions about stock and staff management. Society's key concern is when businesses and organizations can resume normal operations. Between December 31st 2019 and 2021, Taiwan experienced three separate COVID-19 community outbreaks with significant time intervals in between, suggesting that each outbreak eventually came to an end. We identified the ratio of the 7-day average of local & unknown confirmed to suspected cases as the key control variable and forecasted the end of the third outbreak by the exponential model. We forecasted the end of the third outbreak on Aug. 16th with threshold ratios of . The real observations crossed the threshold on Aug. 27th, eleven days later than forecasted, with the last case of the third outbreak confirmed and quarantined on Sept. 20th. This demonstrated the accuracy of the proposed forecasting method in predicting the end of a local outbreak. Furthermore, we highlight that the ratio reflects the effectiveness of contact tracing. Effective contact tracing together with testing and isolation of infected individuals is crucial for ending community outbreaks.
准确预测社区疫情爆发对于政府正确分配医疗资源和实施适当的非药物干预措施至关重要。此外,企业必须解决关于库存和员工管理的关键问题。社会的主要关注点是企业和组织何时能够恢复正常运营。2019 年 12 月 31 日至 2021 年期间,台湾经历了三次单独的 COVID-19 社区疫情爆发,爆发之间有明显的时间间隔,表明每次爆发最终都结束了。我们确定了本地和未知确诊病例与疑似病例的 7 天平均值之比作为关键控制变量,并通过指数模型预测了第三次疫情的结束。我们预测第三次疫情的结束日期为 8 月 16 日,阈值比为. 实际观察结果在 8 月 27 日越过了阈值,比预测晚了 11 天,第三次疫情的最后一个病例于 9 月 20 日得到确诊和隔离。这证明了所提出的预测方法在预测本地疫情结束方面的准确性。此外,我们强调,该比率反映了接触者追踪的有效性。有效的接触者追踪加上对感染者的检测和隔离对于结束社区疫情爆发至关重要。