Fine scale Spatial-Temporal cluster analysis for the infection risk of Schistosomiasis japonica using space-Time scan statistics

Abstract

Background: Marching towards the elimination of schistosomiasis in China, both the incidence and prevalenc have witnessed profound decline over the past decades, with the strategy shifting from morbidity control t transmission control. The current challenge is to find out hotspots of transmission risk for precise targeted contro in low-prevalence areas. This study assessed the risk at the village level, using the spatial and temporal characteristic of Schistosomiasis japonica in Anhui province from 2006 to 2012 Method: The comprehensive database was generated from annual surveillance data at village level in Anhui provinc between 2006 and 2012, comprising schistosomiasis prevalence among humans and cattle, occurrence rate of infecte environments and incidence rate of acute schistosomiasis. The database parameters were matched with geographi data of the study area and fine scale spatial-Temporal cluster analysis based on retrospective space-Time scan statistic was used to assess the clustering pattern of schistosomiasis. The analysis was conducted by using SaTScan 9.1.1 an ArcGIS 10.0. A spatial statistical modelling was carried out to determine the spatial dependency of prevalence of huma infection by using Geoda 1.4.3 Result: A pronounced decline was found in the prevalence of human infection, cattle infection, occurrence rate o environment with infected vector snails and incidence rate of acute schistosomiasis from 2006 to 2012 by 48.6% 71.5%, 91.9% and 96.4%, respectively. Meanwhile, all 4 indicators showed a statistically significant clustering patter both in time and space, with a total of 16, 6, 8 and 4 corresponding clustering foci found respectively. However, th number of clustering foci declined with time, and none was found after year 2010. All clustering foci were mainl distributed along the Yangtze River and its connecting branches. The result shows that there is a direct spatia relationship between prevalence of human infection and the other indicators Conclusion: A decreasing trend in space-Time clustering of schistosomiasis endemic status was observed betwee 2006 and 2012 in Anhui province. Nevertheless, giving the complexity in schistosomiasis control, areas within th upper-stream of Yangtze River in Anhui section and its connecting branches should be targeted for effectiv implementation of control strategies in the future.