Spatio-Temporal Distribution and Epidemiological Characteristics of Paragonimiasis Reported by Medical Institutions in Chongqing, China, 2010-2024.

Abstract

This study collected data on paragonimiasis cases from 13 medical institutions in Chongqing between 2010 and 2024 to analyse their epidemiological characteristics, spatio-temporal distribution and high-risk areas. The data included demographic characteristics, epidemiological history, clinical manifestations and diagnostic criteria. We established a database using Microsoft Excel, performed time series analysis and Kruskal-Wallis tests with R software, and used ArcGIS for global and local spatial autocorrelation analyses to identify spatio-temporal clustering patterns. A total of 1,986 cases were reported from 13 institutions, including 33 (1.66%) confirmed, 468 (23.57%) clinically diagnosed, and 1,485 (74.77%) suspected cases. Cases were predominantly male (69.74%) and young, with 85.95% under 20 years old and most having low educational attainment. Cases showed a significant declining