Kim Dayeong, Kim Sun Bean, Jeon Soyoung, Kim Subin, Lee Kyoung Hwa, Lee Hye Sun, Han Sang Hoon
Department of Internal Medicine, Division of Infectious Disease, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul 06273, Korea.
Department of Internal Medicine, Division of Infectious Diseases, Korea University College of Medicine, 73, Goryeodae-ro, Seongbuk-gu, Seoul 02841, Korea.
J Fungi (Basel). 2021 Nov 19;7(11):990. doi: 10.3390/jof7110990.
Consolidated infection control measures imposed by the government and hospitals during COVID-19 pandemic resulted in a sharp decline of respiratory viruses. Based on the issue of whether could be transmitted by airborne and acquired from the environment, we assessed changes in pneumonia (PCP) cases in a hospital setting before and after COVID-19. We retrospectively collected data of PCP-confirmed inpatients aged ≥18 years ( = 2922) in four university-affiliated hospitals between January 2015 and June 2021. The index and intervention dates were defined as the first time of diagnosis and January 2020, respectively. We predicted PCP cases for post-COVID-19 and obtained the difference (residuals) between forecasted and observed cases using the autoregressive integrated moving average (ARIMA) and the Bayesian structural time-series (BSTS) models. Overall, the average of observed PCP cases per month in each year were 36.1 and 47.3 for pre- and post-COVID-19, respectively. The estimate for residuals in the ARIMA model was not significantly different in the total PCP-confirmed inpatients (7.4%, = 0.765). The forecasted PCP cases by the BSTS model were not significantly different from the observed cases in the post-COVID-19 (-0.6%, 95% credible interval; -9.6~9.1%, = 0.450). The unprecedented strict non-pharmacological interventions did not affect PCP cases.
政府和医院在新冠疫情期间实施的综合感染控制措施导致呼吸道病毒急剧减少。基于[病毒名称]是否可通过空气传播以及是否可从环境中获得这一问题,我们评估了新冠疫情前后医院环境中[肺炎名称](PCP)病例的变化。我们回顾性收集了2015年1月至2021年6月期间四家大学附属医院中年龄≥18岁的PCP确诊住院患者(n = 2922)的数据。索引日期和干预日期分别定义为[病毒名称]首次诊断时间和2020年1月。我们预测了新冠疫情后的PCP病例,并使用自回归积分移动平均(ARIMA)模型和贝叶斯结构时间序列(BSTS)模型获得了预测病例与观察病例之间的差异(残差)。总体而言,新冠疫情前和后每年每月观察到的PCP病例平均数分别为36.1例和47.3例。在所有PCP确诊住院患者中,ARIMA模型的残差估计无显著差异(7.4%,P = 0.765)。BSTS模型预测的新冠疫情后PCP病例与观察病例无显著差异(-0.6%,95%可信区间:-9.6~9.1%,P = 0.450)。前所未有的严格非药物干预措施并未影响PCP病例。