Changing epidemiology of leptospirosis in China from 1955 to 2022.

IF 8.1 1区 医学
Zengliang Wang, Ke Li, Yuanhua Liu, Michael P Ward, Yue Chen, Shuting Li, Jidan Zhang, Yu Zhao, Na Wang, Haiyan Qiu, Yueran Lian, Cuicai Zhang, Zhijie Zhang, Biao Kan
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引用次数: 0

Abstract

Background: Leptospirosis, a zoonotic disease caused by pathogenic species of the genus Leptospira, is an important public health concern globally. Leptospirosis has been notifiable under statute in China since 1955, and its epidemiological characteristics have evolved during near 70 years. This study aimed to describe the spatial and temporal patterns and demographic characteristics of leptospirosis from 1955 to 2022 in China, and explore the possible factors that influence leptospirosis transmission risk.

Methods: Wavelet time series analysis, global Moran's I coefficients, space-time scanning statistics, and so on were used to analyze temporal, seasonal, geographic, and demographic trends in leptospirosis using reported national surveillance data from Chinese mainland from 1955 to 2022. Additionally, a Bayesian spatiotemporal model was used in a preliminary analysis to explore potential factors associated with leptospirosis occurrence.

Results: Between 1955 and 2022, China reported 25,236,601 leptospirosis cases, with 91% occurring from July to October. The annual incidence rate peaked at 38.28/100,000 during outbreaks in the 1960s-1980s but stabilized at a low level (0.07/100,000) between 2005 and 2022, with over 99% of cases in southern China. Clustering increased over time, being greatest during the period 2015-2022 (Moran's I = 0.41, P < 0.01). Space-time cluster analysis indicated that the most likely clusters were in northern provincial-level administrative divisions (PLADs) from 1955 to 1984, in southern PLADs from 1985 to 2022. The main identified risk factors of leptospirosis occurrence were annual average precipitation (3.68, 95% CI: 2.50 to 5.12), GDP per capita (-3.70, 95% CI: - 5.97 to - 1.41), and the total power of agricultural machinery (- 2.51, 95% CI: - 3.85 to - 1.17).

Conclusions: Over past 70 years, leptospirosis in China has occurred as significant outbreaks but has ultimately declined to stable, low levels of occurrence. However, a clear north-south disparity persists, with tropical and subtropical regions in southern China remaining high-risk areas. The nearly 70-year dataset underscores the complex interplay of climate and socioeconomic factors influencing the disease's occurrence. Targeted prevention and control measures are critical to prevent outbreaks, especially in regions prone to extreme climatic events like heavy rainfall and floods, which may signal the resurgence of leptospirosis.

背景:钩端螺旋体病是由钩端螺旋体属致病菌引起的人畜共患疾病,是全球关注的重要公共卫生问题。自 1955 年以来,钩端螺旋体病一直是中国的法定传染病,在近 70 年的时间里,其流行病学特征不断演变。本研究旨在描述1955年至2022年中国钩端螺旋体病的时空模式和人口学特征,并探讨影响钩端螺旋体病传播风险的可能因素:方法:采用小波时间序列分析、全局Moran's I系数、时空扫描统计等方法,利用中国大陆1955-2022年全国监测数据,分析钩端螺旋体病的时空、季节、地域和人口趋势。此外,还利用贝叶斯时空模型进行了初步分析,以探讨与钩端螺旋体病发生相关的潜在因素:1955年至2022年间,中国共报告了25236601例钩端螺旋体病病例,其中91%发生在7月至10月。年发病率在 20 世纪 60 年代至 80 年代爆发期间达到峰值(38.28/100,000),但在 2005 年至 2022 年期间稳定在较低水平(0.07/100,000),99%以上的病例发生在中国南方。随着时间的推移,聚类现象逐渐增加,在 2015-2022 年期间最为严重(莫伦 I = 0.41,P 结论):在过去的 70 年中,中国的钩端螺旋体病曾出现过明显的暴发,但最终下降到稳定的低发生水平。然而,中国仍存在明显的南北差异,华南热带和亚热带地区仍是高风险地区。近 70 年的数据集凸显了影响该疾病发生的气候和社会经济因素之间复杂的相互作用。有针对性的预防和控制措施对于防止疫情爆发至关重要,尤其是在暴雨和洪水等极端气候事件易发地区,这可能是钩端螺旋体病再次爆发的信号。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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