目的研究湖沼垸内型血吸虫病流行区血吸虫病疫情变化与经费投入和防治费用的关联性,为优化血吸虫病防治策略提供参考。方法选择江陵县为研究区,采用直线相关与回归法分析当地2006-2013年血吸虫病疫情;采用两阶段最小二乘法与路径递归模型分析经费投入与防治费用对当地疫情变化的可能影响。结果 2006-2013年,江陵县人群校正感染率、耕牛存栏数与钉螺面积分别下降了77.42%、76.34%和19.43%;钉螺感染率与人群血检、粪检阳性率及耕牛感染率均呈显著相关,且与耕牛感染率呈直线回归关系(P均<0.05)。各级投入与人群血检和粪检阳性率、耕牛和钉螺感染率,以及各类费用与人群粪检阳性率、耕牛和钉螺感染率的回归模型均有统计学意义(P均<0.05),但各类费用与人群血检阳性率回归模型无统计学意义(P>0.05);影响人群血检阳性率、人群粪检阳性率、耕牛感染率和钉螺感染率的分别为县级投入、综合治理费用、人工费用与查治病费用、国家级投入与查治病费用(P均<0.05)。结论 2006-2013年,江陵县血吸虫病疫情变化与各级投入、防治费用均有关联;各疫情指标相互显著相关的现象提示应开展综合性监测体系研究。 Objective To study the correlation between the change of schistosomiasis in the epidemic endemic area of ​​schistosomiasis embankment and the expenditure of funds and the cost of prevention and treatment so as to provide references for the optimization of schistosomiasis control strategies. Methods Jiangling County was chosen as the study area, and the linear correlation and regression analysis were used to analyze the epidemic situation of schistosomiasis in the area from 2006 to 2013. The two-stage least squares method and path recursive model were used to analyze the possible impact of funding and prevention and control costs on the variation of the epidemic. Results From 2006 to 2013, the population correction rate, the number of cattle population and the snail area in Jiangling County decreased by 77.42%, 76.34% and 19.43%, respectively. The infection rates of snails and the blood samples, the positive rates of stool tests and the rates of cattle infection were (P <0.05), and was linearly correlated with the cattle infection rate (P <0.05). The positive rates of blood tests and stool tests at all levels, the prevalence of cattle and snails, as well as the positive rates of all kinds of expenses and crowd stool tests, and the infection rates of cattle and snails were statistically significant (all P <0.05 ), But there was no significant difference between the various types of cost and the population regression model (P> 0.05); the positive rate of blood tests, the positive rate of crowd feces, the rate of cattle infection and the infection rate of snails were county level Investment, comprehensive treatment costs, labor costs and costs of investigation and treatment of diseases, state-level inputs and investigation of treatment costs (all P <0.05). Conclusions From 2006 to 2013, the epidemic situation of schistosomiasis in Jiangling County was related to the investment and prevention and control costs at all levels. The significant correlation between the outbreak indicators indicated that comprehensive surveillance system should be developed.