2006-2024 年郎溪县肾综合征出血热流行特征分析

Abstract: Objective To explore the epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) in Langxi County from 2006 to 2024. Methods Collected the case information of HFRS in Langxi County from 2006 to 2024 reported by the China Infectious Disease Surveillance Information System, analyze the HFRS data, compile statistics on the patients’ information, and analyze their epidemiological characteristics. Results A total of 257 cases of HFRS were reported from 2006 to 2024. The age distribution shows that the 50～aged group has the largest number of cases (63 cases, 24.51%), followed by the 40～aged group (59 cases, 22.96%) and the 60～aged group (55 cases, 21.40%). There were a total of 203 male cases (78.99%) and 54 female cases (21.01%), with a male-to-female ratio of 3.76﹕1. The number of male patients was significantly higher than that of female patients (P＜0.05). Farmers were the main affected population (215 cases, 83.66%). The peak period of the disease is from April to June, during which the cumulative reported cases account for 48.25% of the total cases. Among them, the number of cases was the highest in May and June, accounting for 33.46% in total, followed by April, accounting for 14.79%. There was a secondary peak in November and December, accounting for a cumulative 16.73%. The time distribution of the cases showed a peak in spring and summer and a subpeak in autumn and winter in each year, but the number of cases in 2018 was significantly higher than that in the other years (P＜0.05). The spatial distribution of hemorrhagic fever with renal syndrome in Langxi County shows a significant aggregation. Jianping Town (22.18%), Xinfa Town (16.73%), Feili Town (14.40%) and Shizi Town (13.62%) are the main high-incidence areas, accounting for more than 65% in total. Yaocun Town had the fewest cases (1.17%). Conclusion The prevalence of HFRS in Langxi County shows distinct characteristics of temporal, regional and demographic aggregation. Middle-aged and elderly agricultural workers are the core target population for prevention and control.