Parasitic infections caused by Opisthorchis viverrini and Strongyloides stercoralis remain a major public health threat in the Greater Mekong Sub-region. An understanding of climate and other environmental influences on the geographical distribution and emergence of parasitic diseases is a crucial step to guide targeted control and prevention programs. A parasitological survey was conducted from 2008 to 2013 and included 12,554 individuals (age between 20 and 60 years) from 142 villages in five districts in Khon Kaen Province, Thailand. Geographical information systems, remote sensing technologies and a Bayesian geostatistical framework were used to develop models for O. viverrini and S. stercoralis mono- and co-infections in areas where both parasites are known to co-occur. The results indicate that male sex, increased age, altitude, precipitation, and land surface temperature have influenced the infection rate and geographical distribution of mono- and co-infections of O. viverrini and S. stercoralis in this area. Males were 6.69 times (95% CrI: 5.26–8.58) more likely to have O. viverrini - S. stercoralis co-infection. We observed that O. viverrini and S. stercoralis mono-infections display distinct spatial pattern, while co-infection is predicted in the center and southeast of the study area. The observed spatial clustering of O. viverrini and S. stercoralis provides valuable information for the spatial targeting of prevention interventions in this area.

Opisthorchis viverrini和粪类圆线虫引起的寄生虫感染仍然是大湄公河次区域的主要公共卫生威胁。了解气候和其他环境对寄生虫病地理分布和出现的影响是指导有针对性的控制和预防计划的关键步骤。寄生虫学调查于 2008 年至 2013 年进行，包括来自泰国孔敬府五个区的 142 个村庄的 12,554 人（年龄在 20 至 60 岁之间）。地理信息系统、遥感技术和贝叶斯地质统计框架被用于开发O. viverrini和S. stercoralis 模型在已知两种寄生虫共同发生的地区发生单一和混合感染。结果表明，男性、年龄增加、海拔高度、降水量和地表温度影响了该地区O. viverrini和S. stercoralis的单一和混合感染的感染率和地理分布。男性同时感染O. viverrini - S. stercoralis 的可能性是男性的 6.69 倍（95% CrI：5.26–8.58）。我们观察到O. viverrini和S. stercoralis单一感染显示出不同的空间模式，而在研究区的中心和东南部预测会发生混合感染。观察到的O. viverrini和S. stercoralis为该地区预防干预的空间定位提供了有价值的信息。