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评估 COVID-19 非药物干预措施和放松政策对中国 B 类呼吸道传染病传播的影响。

Assessing the impact of COVID-19 non-pharmaceutical interventions and relaxation policies on Class B respiratory infectious diseases transmission in China.

机构信息

Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University, Shenyang, Liaoning, China.

Department of Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China.

出版信息

Sci Rep. 2024 Sep 11;14(1):21197. doi: 10.1038/s41598-024-72165-w.

Abstract

This study investigates the incidence of Class B respiratory infectious diseases (RIDs) in China under the Coronavirus disease 2019 (COVID-19) epidemic and examines variations post-epidemic, following the relaxation of non-pharmaceutical interventions (NPIs). Two-stage evaluation was used in our study. In the first stage evaluation, we established counterfactual models for the pre-COVID-19 period to estimate expected incidences of Class B RIDs without the onset of the epidemic. In the second stage evaluation, we constructed seasonal autoregressive integrated moving average intervention (SARIMA-Intervention) models to evaluate the impact on the Class B RIDs after NPIs aimed at COVID-19 pandemic were relaxed. The counterfactual model in the first stage evaluation suggested average annual increases of 10.015%, 78.019%, 70.439%, and 67.799% for tuberculosis, scarlet fever, measles, and pertussis respectively, had the epidemic not occurred. In the second stage evaluation, the total relative reduction in 2023 of tuberculosis, scarlet fever, measles and pertussis were - 35.209%, - 59.184%, - 4.481%, and - 9.943% respectively. The actual incidence declined significantly in the first stage evaluation. However, the results of the second stage evaluation indicated that a rebound occurred in four Class B RIDs after the relaxation of NPIs; all of these showed a negative total relative reduction rate.

摘要

本研究调查了 2019 年冠状病毒病(COVID-19)大流行期间中国 B 类呼吸道传染病(RIDs)的发病率,并考察了大流行后非药物干预(NPIs)放松后的变化情况。我们的研究采用了两阶段评估方法。在第一阶段评估中,我们建立了 COVID-19 大流行前的反事实模型,以估计没有大流行发生时 B 类 RIDs 的预期发病率。在第二阶段评估中,我们构建了季节性自回归综合移动平均干预(SARIMA-Intervention)模型,以评估 NPI 放松后对 B 类 RIDs 的影响。第一阶段评估中的反事实模型表明,如果没有发生疫情,结核病、猩红热、麻疹和百日咳的年平均增长率分别为 10.015%、78.019%、70.439%和 67.799%。在第二阶段评估中,2023 年结核病、猩红热、麻疹和百日咳的总相对减少率分别为-35.209%、-59.184%、-4.481%和-9.943%。第一阶段评估的实际发病率显著下降。然而,第二阶段评估的结果表明,NPIs 放松后,四种 B 类 RIDs 出现反弹,所有这些都显示出负的总相对减少率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a95a/11390917/b4a9f37e7b51/41598_2024_72165_Fig1_HTML.jpg

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