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中国 2005-2020 年被忽视热带病负担的时空分布。

Spatial-temporal distribution of neglected tropical diseases burdens in China from 2005 to 2020.

机构信息

NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, the First Affiliated Hospital, Hainan Medical University, Haikou, 571199, Hainan, China.

Global NTD Programme, WHO, Geneva, Switzerland.

出版信息

Infect Dis Poverty. 2024 Sep 4;13(1):64. doi: 10.1186/s40249-024-01235-y.

DOI:10.1186/s40249-024-01235-y
PMID:39232824
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11373236/
Abstract

BACKGROUND

Out of the 21 neglected tropical diseases (NTDs) listed by the World Health Organization, 15 affect the People's Republic of China. Despite significant achievements in controlling NTDs, comprehensive assessments of the disease burden based on actual case data and detailed information on spatial and temporal dynamics are still lacking. This study aims to assess the disease burden and spatial-temporal distribution of NTDs in China from 2005 to 2020, to provide a reference for the formulation of national health agendas in line with the global health agenda, and guide resource allocation.

METHODS

The number of cases and deaths of major NTDs in China from 2005 to 2020 were downloaded from the China Public Health Science Data Center ( https://www.phsciencedata.cn/Share/index.jsp ) of the Chinese Center for Disease Control and Prevention and relevant literatures. Simplified formulas for disability-adjusted life years (DALYs) helped estimate the years of life lost (YLLs), years lived with disability (YLDs), and total DALYs. Spatial autocorrelation analysis of the average NTDs burden data for the years 2005 to 2020 was evaluated using Moran's I statistic.

RESULTS

China's overall NTDs burden decreased significantly, from 245,444.53 DALYs in 2005 to 18,984.34 DALYs in 2020, marking a reduction of 92.27%. In 2005, the DALYs caused by schistosomiasis and rabies represent a substantial proportion of the total disease burden, accounting for 65.37% and 34.43% respectively. In 2015, Hunan and Sichuan provinces had the highest diversity of NTDs, with 9 and 8 number of different NTDs reported respectively. And the highest disease burden was observed in Sichuan (242,683.46 DALYs), Xizang Zizhiqu (178,318.99 DALYs) and Guangdong (154,228.31 DALYs). The "high-high" clustering areas of NTDs were mainly in China's central and southern regions, as identified by spatial autocorrelation analysis.

CONCLUSIONS

China has made unremitting efforts in the prevention and control of NTDs, and the disease burden of major NTDs in China has decreased significantly. Using the One Health concept to guide disease prevention and control in the field to effectively save medical resources and achieve precise intervention.

摘要

背景

在世界卫生组织列出的 21 种被忽视的热带病中,有 15 种影响中华人民共和国。尽管在控制被忽视的热带病方面取得了重大成就,但基于实际病例数据和关于时空动态的详细信息的疾病负担综合评估仍然缺乏。本研究旨在评估 2005 年至 2020 年中国被忽视的热带病的疾病负担和时空分布,为制定符合全球卫生议程的国家卫生议程提供参考,并指导资源分配。

方法

从中国疾病预防控制中心中国公共卫生科学数据中心(https://www.phsciencedata.cn/Share/index.jsp)和相关文献中下载了 2005 年至 2020 年中国主要被忽视的热带病的病例数和死亡数。使用残疾调整生命年(DALYs)的简化公式来估计生命损失年(YLLs)、残疾生活年(YLDs)和总 DALYs。使用 Moran's I 统计量评估 2005 年至 2020 年平均被忽视的热带病负担数据的空间自相关分析。

结果

中国的被忽视的热带病总负担显著下降,从 2005 年的 245444.53 DALYs 下降到 2020 年的 18984.34 DALYs,下降了 92.27%。2005 年,血吸虫病和狂犬病造成的 DALYs 占总疾病负担的很大比例,分别占 65.37%和 34.43%。2015 年,湖南省和四川省的被忽视的热带病种类最多,分别有 9 种和 8 种不同的被忽视的热带病报告。而四川省(242683.46 DALYs)、西藏自治区(178318.99 DALYs)和广东省(154228.31 DALYs)的疾病负担最高。空间自相关分析表明,被忽视的热带病的“高高”聚类区主要在中国的中南部地区。

结论

中国在防治被忽视的热带病方面做出了不懈努力,中国主要被忽视的热带病的疾病负担显著下降。利用“同一健康”概念指导疾病防控领域,有效节约医疗资源,实现精准干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/66d874af7da3/40249_2024_1235_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/d3c1b72294a0/40249_2024_1235_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/fc3468f59b19/40249_2024_1235_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/c3f71c338689/40249_2024_1235_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/cfba658a2025/40249_2024_1235_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/66d874af7da3/40249_2024_1235_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/d3c1b72294a0/40249_2024_1235_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/fc3468f59b19/40249_2024_1235_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/c3f71c338689/40249_2024_1235_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/cfba658a2025/40249_2024_1235_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/11373236/66d874af7da3/40249_2024_1235_Fig5_HTML.jpg

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