Zhao Zebin, Li Xin, Liu Feng, Jin Rui, Ma Chunfeng, Huang Bo, Wu Adan, Nie Xiaowei
Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Healthcare (Basel). 2021 Sep 29;9(10):1292. doi: 10.3390/healthcare9101292.
The ongoing spread of coronavirus disease 2019 (COVID-19) in most South and Southeast Asian countries has led to severe health and economic impacts. Evaluating the performance of nonpharmaceutical interventions in reducing the number of daily new cases is essential for policy designs. Analysis of the growth rate of daily new cases indicates that the value (5.47%) decreased significantly after nonpharmaceutical interventions were adopted (1.85%). Vaccinations failed to significantly reduce the growth rates, which were 0.67% before vaccination and 2.44% and 2.05% after 14 and 28 d of vaccination, respectively. Stringent nonpharmaceutical interventions have been loosened after vaccination drives in most countries. To predict the spread of COVID-19 and clarify the implications to adjust nonpharmaceutical interventions, we build a susceptible-infected-recovered-vaccinated (SIRV) model with a nonpharmaceutical intervention module and Metropolis-Hastings sampling in three scenarios (optimistic, neutral, and pessimistic). The daily new cases are expected to decrease rapidly or increase with a flatter curve with stronger nonpharmaceutical interventions, and the peak date is expected to occur earlier (5-20 d) with minimum infections. These findings demonstrate that adopting stringent nonpharmaceutical interventions is the key to alleviating the spread of COVID-19 before attaining worldwide herd immunity.
2019冠状病毒病(COVID-19)在大多数南亚和东南亚国家的持续传播已导致严重的健康和经济影响。评估非药物干预措施在减少每日新增病例数方面的效果对于政策设计至关重要。对每日新增病例增长率的分析表明,在采取非药物干预措施后,该数值(5.47%)显著下降(降至1.85%)。疫苗接种未能显著降低增长率,接种前的增长率为0.67%,接种14天和28天后的增长率分别为2.44%和2.05%。在大多数国家开展疫苗接种运动后,严格的非药物干预措施已有所放松。为了预测COVID-19的传播并阐明调整非药物干预措施的意义,我们构建了一个带有非药物干预模块和 metropolis - hastings抽样的易感-感染-康复-接种(SIRV)模型,分三种情形(乐观、中性和悲观)进行分析。预计在采取更强有力的非药物干预措施时,每日新增病例数将迅速下降或呈较平缓曲线增加,且感染人数最少时预计峰值日期会提前出现(5 - 20天)。这些发现表明,在实现全球群体免疫之前,采取严格的非药物干预措施是缓解COVID-19传播的关键。