Fudan University School of Public Health, Shanghai, China.
Department of Scientific Research, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Am J Trop Med Hyg. 2022 Nov 14;107(6):1178-1184. doi: 10.4269/ajtmh.22-0238. Print 2022 Dec 14.
This study explored the environmental determinants of different months on snail density measured in April at different types of snail habitats (marshlands, inner embankments, and hills) by considering spatial effects. Data were gathered from surveys on snails that were conducted in Hunan Province in April 2016, and information was collected on environmental variables. To investigate the environmental factors influencing snail density in various types of snail habitats, the ordinary least square model, spatial lag model, and spatial error model were all used. The environmental determinants for snail density showed different effects in the three types of snail habitats. In marshlands, snail density measured in April was associated positively with the normalized difference vegetation index (NDVI) and was associated negatively with flooding duration and annual hours of sunshine. Extreme temperatures correlated strongly to snail density measured in April (P < 0.05). In areas inside embankments, snail density measured in April increased with a decreased distance between snail habitat and the nearest river (P < 0.05). In hills, extreme heat, annual hours of sunshine, NDVI in September, and annual average land surface temperature (LST) were associated negatively with snail density measured in April, whereas index of moisture (IM) was associated positively with snail density measured in April (P < 0.05). The effects of LST and hours of sunshine on snail density measured in April varied with months of the year in the three different types of snail habitats (P < 0.05). Our study might provide a theoretical foundation for preventing snail transmission and subsequent spread of schistosomiasis.
本研究通过考虑空间效应,探讨了不同月份(四月)不同类型螺栖息地(湿地、内堤和山丘)中所测钉螺密度的环境决定因素。数据来自 2016 年四月在湖南省进行的钉螺调查,收集了有关环境变量的信息。为了研究不同类型螺栖息地中影响钉螺密度的环境因素,我们使用了普通最小二乘法模型、空间滞后模型和空间误差模型。在三种类型的螺栖息地中,环境决定因素对钉螺密度的影响不同。在湿地中,四月所测钉螺密度与归一化差异植被指数(NDVI)呈正相关,与洪水持续时间和年日照时间呈负相关。极端温度与四月所测钉螺密度有很强的相关性(P < 0.05)。在内堤内的区域,四月所测钉螺密度随螺栖息地与最近河流之间的距离减小而增加(P < 0.05)。在山丘上,极端高温、年日照时间、九月的 NDVI 和年平均地面温度(LST)与四月所测钉螺密度呈负相关,而湿度指数(IM)与四月所测钉螺密度呈正相关(P < 0.05)。在三种不同类型的螺栖息地中,LST 和日照时间对四月所测钉螺密度的影响随月份而异(P < 0.05)。本研究可能为预防钉螺传播和随后的血吸虫病传播提供理论基础。