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中国浙江省猩红热的流行病学特征与趋势:2004 - 2022年基于人群的监测

Epidemiological Characteristics and Trends of Scarlet Fever in Zhejiang Province of China: Population-Based Surveillance during 2004-2022.

作者信息

Fang Zhen, Ma Chenjin, Xu Wangli, Shi Xiuxiu, Liu Shelan

机构信息

Center for Applied Statistics School of Statistics Renmin University of China, Beijing 100872, China.

College of Statistics and Data Science Faculty of Science Beijing University of Technology, Beijing 100124, China.

出版信息

Can J Infect Dis Med Microbiol. 2024 Jul 14;2024:6257499. doi: 10.1155/2024/6257499. eCollection 2024.

Abstract

BACKGROUND

Over the past two decades, scarlet fever has resurged in some countries or areas. Nationwide nonpharmaceutical interventions changed the patterns of other infectious diseases, but its effects on the spread of scarlet fever were rarely studied. This study aimed to evaluate the changes in scarlet fever incidence in Zhejiang Province, China, before and during the COVID-19 pandemic periods and to provide references for scarlet fever prevention and control.

METHODS

Scarlet fever surveillance data in Zhejiang, China (2004-2022), were analyzed in three stages. Two-sample test, ANOVA, and Tukey's test were used to compare and analyze the characteristics of disease spread at different stages. The ARIMA model was used to predict the overall trend. The data were obtained from the National Infectious Disease Reporting Information System.

RESULTS

A total of 28,652 cases of scarlet fever were reported across Zhejiang Province during the study period, with the lowest average monthly incidences in 2020 (0.111/100,000). The predominant areas affected were the northern and central regions of Zhejiang, and all regions of Zhejiang experienced a decrease in incidence in 2020. The steepest decline in incidence in 2020 was found in children aged 0-4 years (67.3% decrease from 23.8/100,000 to 7.8/100,000). The seasonal pattern changed, with peak occurrences in April to June and November to January during 2004-2019 and 2021 and a peak in January in 2020. The median duration from diagnosis to confirmation was highest before COVID-19 (4 days); however, it decreased to 1 day in 2020-2022, matching the other two medians.

CONCLUSIONS

In 2020, Zhejiang experienced an unprecedented decrease in scarlet fever, with the lowest incidence in nearly 18 years, but it rebounded in 2021 and 2022. The seasonal epidemiologic characteristics of scarlet fever also changed with the COVID-19 outbreaks. This suggested that nationwide nonpharmaceutical interventions greatly depressed the spread of scarlet fever. With the relaxation of non-pharmaceutical intervention restrictions, scarlet fever may reappear. Government policymakers should prioritize the control of future scarlet fever outbreaks for public health.

摘要

背景

在过去二十年中,猩红热在一些国家或地区再度流行。全国性的非药物干预措施改变了其他传染病的流行模式,但其对猩红热传播的影响鲜有研究。本研究旨在评估中国浙江省在新冠疫情流行前和流行期间猩红热发病率的变化,为猩红热的预防和控制提供参考。

方法

对中国浙江省2004 - 2022年的猩红热监测数据分三个阶段进行分析。采用两样本检验、方差分析和Tukey检验对不同阶段疾病传播的特征进行比较和分析。运用自回归积分移动平均模型(ARIMA模型)预测总体趋势。数据来源于国家传染病报告信息系统。

结果

研究期间浙江省共报告28652例猩红热病例,2020年平均月发病率最低(0.111/10万)。受影响最主要的地区是浙江北部和中部地区,2020年浙江省所有地区的发病率均有所下降。2020年发病率下降最显著的是0 - 4岁儿童(从23.8/10万降至7.8/10万,下降了67.3%)。季节性模式发生了变化,2004 - 2019年和2021年发病高峰出现在4月至6月以及11月至1月,2020年发病高峰出现在1月。确诊前的中位病程在新冠疫情之前最高(4天);然而,在2020 - 2022年降至1天,与其他两个中位数相符。

结论

2020年,浙江省猩红热发病率出现前所未有的下降,达到近18年来的最低水平,但在2021年和2022年有所反弹。猩红热的季节性流行病学特征也随着新冠疫情的爆发而改变。这表明全国性的非药物干预措施极大地抑制了猩红热的传播。随着非药物干预限制的放宽,猩红热可能会再度出现。政府政策制定者应将未来猩红热疫情的防控作为公共卫生工作的重点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dca6/11260510/1a6a0e25d63b/CJIDMM2024-6257499.001.jpg

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