Spatial Distribution and Determinants of Kashin-Beck Disease in Gansu Province, China.

IF 2.2 3区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Ecohealth Pub Date : 2026-04-15 DOI:10.1007/s10393-026-01792-8

Shaolun Yang, Xiaoyan Chen, Xiaoning Liu

{"title":"Spatial Distribution and Determinants of Kashin-Beck Disease in Gansu Province, China.","authors":"Shaolun Yang, Xiaoyan Chen, Xiaoning Liu","doi":"10.1007/s10393-026-01792-8","DOIUrl":null,"url":null,"abstract":"<p><p>Kashin-Beck disease (KBD) is an endemic disease characterized by its complex etiology and severe impact on human health. It is also regarded as one of the most serious endemic disease in China. This study aimed to investigate the spatial correlation and determinants of this disease. Monitoring data of children and possible influencing factors were collected from 37 KBD regions in Gansu Province. The spatial autocorrelation method was used to describe the spatial aggregation of KBD, and the spatial regression analysis was used to explore the natural environment and socioeconomic factors influencing KBD incidence. The results showed that the X-ray detection rate of KBD demonstrated a significant negative spatial correlation, with Kangle county and its neighboring areas located in southcenter of Gansu Province were hot spots of KBD. The spatial lag model revealed that rainfall, the proportion of afforestation in cultivated land, and population density had negative effects on the X-ray detection rate of KBD. The prevalence of KBD in Gansu Province is determined by a combination of natural environment and socioeconomic factors. Precision prevention and control should be implemented by the specific conditions of each diseased region.</p>","PeriodicalId":51027,"journal":{"name":"Ecohealth","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecohealth","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10393-026-01792-8","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Kashin-Beck disease (KBD) is an endemic disease characterized by its complex etiology and severe impact on human health. It is also regarded as one of the most serious endemic disease in China. This study aimed to investigate the spatial correlation and determinants of this disease. Monitoring data of children and possible influencing factors were collected from 37 KBD regions in Gansu Province. The spatial autocorrelation method was used to describe the spatial aggregation of KBD, and the spatial regression analysis was used to explore the natural environment and socioeconomic factors influencing KBD incidence. The results showed that the X-ray detection rate of KBD demonstrated a significant negative spatial correlation, with Kangle county and its neighboring areas located in southcenter of Gansu Province were hot spots of KBD. The spatial lag model revealed that rainfall, the proportion of afforestation in cultivated land, and population density had negative effects on the X-ray detection rate of KBD. The prevalence of KBD in Gansu Province is determined by a combination of natural environment and socioeconomic factors. Precision prevention and control should be implemented by the specific conditions of each diseased region.

查看原文本刊更多论文

甘肃省大骨节病的空间分布及其影响因素

大骨节病是一种病因复杂、严重危害人类健康的地方病。它也被认为是中国最严重的地方病之一。本研究旨在探讨该疾病的空间相关性和决定因素。收集甘肃省37个大病区儿童监测数据及可能的影响因素。利用空间自相关方法描述大骨节病的空间聚集性，利用空间回归分析探讨影响大骨节病发病的自然环境和社会经济因素。结果表明：大骨病x射线检出率呈显著的负空间相关性，位于甘肃省中南部的康乐县及其周边地区是大骨病的高发地区；空间滞后模型显示，降雨、耕地造林比例和人口密度对大骨病x射线检出率有负向影响。甘肃省大骨节病的流行是由自然环境和社会经济因素共同决定的。要根据各发病地区的具体情况实施精准防控。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Ecohealth 环境科学-环境科学

CiteScore

4.50

自引率

4.00%

发文量

审稿时长

>24 weeks

期刊介绍： EcoHealth aims to advance research, practice, and knowledge integration at the interface of ecology and health by publishing high quality research and review articles that address and profile new ideas, developments, and programs. The journal’s scope encompasses research that integrates concepts and theory from many fields of scholarship (including ecological, social and health sciences, and the humanities) and draws upon multiple types of knowledge, including those of relevance to practice and policy. Papers address integrated ecology and health challenges arising in public health, human and veterinary medicine, conservation and ecosystem management, rural and urban development and planning, and other fields that address the social-ecological context of health. The journal is a central platform for fulfilling the mission of the EcoHealth Alliance to strive for sustainable health of people, domestic animals, wildlife, and ecosystems by promoting discovery, understanding, and transdisciplinarity. The journal invites substantial contributions in the following areas: One Health and Conservation Medicine o Integrated research on health of humans, wildlife, livestock and ecosystems o Research and policy in ecology, public health, and agricultural sustainability o Emerging infectious diseases affecting people, wildlife, domestic animals, and plants o Research and practice linking human and animal health and/or social-ecological systems o Anthropogenic environmental change and drivers of disease emergence in humans, wildlife, livestock and ecosystems o Health of humans and animals in relation to terrestrial, freshwater, and marine ecosystems Ecosystem Approaches to Health o Systems thinking and social-ecological systems in relation to health o Transdiiplinary approaches to health, ecosystems and society.