A study on the effective prevention and control of Kashin-Beck disease in Tibet Autonomous Region based on optimal parameters-based geographical detector
10.3760/cma.j.cn231583-20240403-00085
- VernacularTitle:基于参数最优地理探测器的西藏自治区大骨节病有效防控研究
- Author:
Ruonan LI
1
;
Jing WANG
;
Binggan WEI
;
Min GUO
Author Information
1. 华中师范大学地理过程分析与模拟湖北省重点实验室/可持续发展研究中心，武汉430079
- Publication Type:Journal Article
- Keywords:
Kashin-Beck disease;
Tibet;
Prevention and control measures;
Optimal parameters-based geographical detector
- From:
Chinese Journal of Endemiology
2025;44(3):186-191
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the influence factors behind the effective prevention and control of Kashin-Beck disease (KBD) in Tibet Autonomous Region (Tibet).Methods:Based on the data of KBD in Tibet in 2010 and 2015 provided by the Tibet Center for Disease Control and Prevention, the contribution of different prevention and control measures for KBD in Tibet was analyzed from the natural environment and socio-economic aspects (including vegetation coverage, economic level, industrial structure, dietary nutrition, planting structure, land use, aid to Tibet policy and medical care) by using the method of optimal parameters-based geographical detector.Results:There were differences in the explanatory power of various influencing factors on the prevention and control effect of KBD in different periods. In 2010, the proportion of forest area and per capita food consumption of farmers and herdsmen were the dominant factors ( q = 0.482, 0.366, P < 0.05). In 2015, the normalized vegetation index, the proportion of sown area of grain and oil crops, and the proportion of forest area were dominant ( q = 0.378, 0.334, 0.323, P < 0.05). The interaction between various influencing factors was stronger than that of single factor. In 2010, the explanatory power of the interaction between the proportion of forest area and grassland area was the highest ( q = 0.737), followed by the interaction between the proportion of agricultural and animal husbandry output value and the proportion of forest area ( q = 0.688). In 2015, the explanatory power of the interaction between per capita disposable income of farmers and herdsmen and the proportion of agricultural and animal husbandry output value was the highest ( q = 0.844), followed by the interaction between per capita disposable income of farmers and herdsmen and the proportion of arable land area ( q = 0.808). Conclusion:The key to the prevention and control of KBD in Tibet is to improve the economic level, improve the dietary nutrition of residents, adjust the structure of agriculture and animal husbandry and agricultural planting, and change the land use mode.
