论文部分内容阅读
目的优化湖沼型血吸虫病流行区钉螺调查方法,为提高查螺效率提供依据。方法基于一处50 m×50 m的草洲范围内推扫式的钉螺调查数据,提出一种基于植物丰度分布特征为辅助变量的钉螺空间采样策略;根据植物丰度数据进行空间分层,通过Hammond McCullagh方程计算各子区域内的最优采样点数量;采用多向插值离散度的空间采样布局方案(MDI),确定采样点部署策略;并对比空间随机采样、系统采样、空间分层采样和三明治采样。结果 5种采样策略中,本研究提出的采样策略所得到的抽样绝对误差最小,为0.213 8,系统抽样误差最大为0.924 4。结论本研究提出的钉螺采样策略能够获得比空间随机采样策略、系统采样策略、空间分层采样策略和三明治采样策略更高的估算精确度。
Objective To optimize the method of snail investigation in the endemic area of lakes and swamp schistosomiasis and provide the basis for improving the efficiency of snail investigation. Methods Based on a push-pull snail survey data in a 50 m × 50 m grassland range, a snail space sampling strategy based on plant abundance distribution as a supplementary variable was proposed. According to plant abundance data, Hammond McCullagh equation is used to calculate the optimal number of sampling points in each sub-region. The spatial sampling layout scheme (MDI) with multi-directional interpolation dispersion is used to determine the deployment strategy of sampling points. Comparing with spatial random sampling, systematic sampling and spatial layered sampling And sandwich sampling. Results Among the five sampling strategies, the sampling strategy proposed in this study has the lowest absolute sampling error of 0.213 8 and the largest sampling error of 0.924 4. Conclusion The snail sampling strategy proposed in this study can obtain higher estimation precision than the random sampling strategy, systematic sampling strategy, spatial sampling strategy and sandwich sampling strategy.