Abstract: Objective　To analyze the epidemic characteristics of soil-transmitted helminth (STH) by the spatial epidemiological method in Jiangxi Province. Methods　Surveillance data of STH in Jiangxi Province from 2016 to 2019 were collected for descriptive epidemiological analysis. The space-time permutation distribution of STH infection areas was analyzed with spatial autocorrelation, hotspot analysis methods and retrospective space-time permutation scan statistics. Results　The infection rates of STH were 1.32% (947/71 766), 1.14% (803/70 547), 0.87% (604/69 507) and 0.90% (628/69 620), respectively, and the differences were statistically significant in different years (P<0.01). The rates of hookworm infection were 0.65% (466/71 766), 0.64% (450/70 547), 0.48% (336/69 507) and 0.52% (362/69 620), respectively, and the differences were statistically significant (P<0.01). The infection rates of Ascaris lumbricoides were 0.55% (393/71 766), 0.41% (287/70 547), 0.32% (221/69 507) and 0.32% (225/69 620), respectively, and the differences were statistically significant in different years (P<0.01). The infection rates of Trichuris trichiura were 0.17% (125/71 766), 0.10% (74/70 547), 0.08% (57/69 507) and 0.07% (49/69 620), respectively, and the differences were statistically significant among different years (P<0.01). The results of global spatial autocorrelation analysis showed that there was a spatial autocorrelation index Moran's I value of hookworm infection rate in 2016, Trichuris trichiura infection rate in 2016, 2018 and 2019, with statistical significance (P<0.05). The results of hotspot analysis, SaTScan and FleXScan spatial and temporal scanning analysis showed that there were high-value aggregation regions for each species in each year. Conclusion　The infection rates of STH, hookworm, Ascaris lumbricoides and Trichuris trichiura showed a decreasing trend and space-time clustering from 2016 to 2019. It should be taken into account in the formulation of control strategies.