Chen Ziying, Liu Xin, Guan Jinxing, Shi Yingying, Liu Wendong, Peng Zhihang, Hu Jianli
School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.
Department of Acute Infectious Diseases Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing City, Jiangsu Province, China.
China CDC Wkly. 2024 Oct 11;6(41):1059-1064. doi: 10.46234/ccdcw2024.219.
Many measures implemented to control the coronavirus disease 2019 (COVID-19) pandemic have reshaped the epidemic patterns of other infectious diseases. This study estimated the impact of the COVID-19 pandemic on respiratory and intestinal infectious diseases and potential changes following reopening.
The optimal intervention and counterfactual models were selected from the seasonal autoregressive integrated moving average (SARIMA), neural network autoregression (NNAR), and hybrid models based on the minimum mean absolute percentage error (MAPE) in the test set. The relative change rate between the actual notification rate and that predicted by the optimal model was calculated for the entire COVID-19 epidemic prevention period and the "reopening" period.
Compared with the predicted notification rate based on the counterfactual model, the total relative change rates for the 9 infectious diseases were -44.24%, respiratory infections (-55.41%), and intestinal infections (-26.59%) during 2020-2022. Compared with the predicted notification rate based on the intervention model, the total relative change rates were +247.98%, respiratory infections (+389.59%), and intestinal infections (+50.46%) in 2023. Among them, the relative increases in influenza (+499.98%) and hand-foot-mouth disease (HFMD) (+70.97%) were significant.
Measures taken in Jiangsu Province in response to COVID-19 effectively constrained the spread of respiratory and intestinal infectious diseases. Influenza and HFMD rebounded significantly after the lifting of COVID-19 intervention restrictions.
为控制2019冠状病毒病(COVID-19)大流行而实施的许多措施重塑了其他传染病的流行模式。本研究估计了COVID-19大流行对呼吸道和肠道传染病的影响以及重新开放后的潜在变化。
根据测试集中的最小平均绝对百分比误差(MAPE),从季节性自回归积分滑动平均(SARIMA)、神经网络自回归(NNAR)和混合模型中选择最优干预模型和反事实模型。计算了整个COVID-19疫情防控期和“重新开放”期实际报告率与最优模型预测报告率之间的相对变化率。
与基于反事实模型预测的报告率相比,2020 - 2022年9种传染病的总相对变化率为-44.24%,呼吸道感染为(-55.41%),肠道感染为(-26.59%)。与基于干预模型预测的报告率相比,2023年总相对变化率为+247.98%,呼吸道感染为(+389.59%),肠道感染为(+50.46%)。其中,流感(+499.98%)和手足口病(HFMD,+70.97%)的相对增幅显著。
江苏省应对COVID-19采取的措施有效抑制了呼吸道和肠道传染病的传播。COVID-19干预限制解除后,流感和手足口病显著反弹。