2026-10-11T15:12:55Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33977176 2026-09-23T17:52:24Z category_7 category_15 category_21 category_61 category_64 category_106 category_132 category_134 portal_5 item_type_3 month_year_09_2026

<p>The characteristics of HFRS cases by clusters.</p> Guanghui Xia (4358629) Rui Gao (247606) Huanhong Pan (25099432) Jun Zong (25099435) Zhili Zeng (12892493) Zifen Li (740774) Chenwei Li (379694) Shiyu Liao (589987) Tong Luo (458639) Guai Tang (25099438) Zijing Peng (20149400) Xiaoqing Liu (196900) Shiwen Liu (3120531) Jianxiong Li (518032) Tianchen Zhang (11898197) Medicine Neuroscience Biotechnology Developmental Biology Cancer Science Policy Infectious Diseases Virology retrospectively analyzed 4 representing distinct hilly regionally tailored strategies major water bodies heterogeneous incidence levels four areas based prior spatial study mixed epidemic focus hospital preference varied 4 days ). 2 &# 8211 highest clinical severity china </ p 614 hfrs cases retrospective study hospital level hfrs epidemic critical ). 5 days clinical severity year period xlink "> vs others visit interval thus conducted strikingly mild seeking behaviors renal syndrome previous studies plain regions jiangxi province hfrs prevention hemorrhagic fever geographical separation findings underscore findings confirmed equal use different proximity critical ), <div> <p>Background</p><p>Hemorrhagic fever with renal syndrome (HFRS) is a significant public health concern in Jiangxi Province, China, where both Hantaan (HTNV) and Seoul (SEOV) co-circulate. Previous studies have identified three distinct clusters of HFRS epidemic in Jiangxi Province, characterized by geographical separation and heterogeneous incidence levels. We hypothesized that clinical severity and healthcare-seeking behaviors may vary across these clusters, and thus conducted a retrospective study to examine this hypothesis.</p> <p>Methods</p><p>We retrospectively analyzed 4,614 HFRS cases (13-year period) from 63 counties. Cases were classified into four areas based on prior spatial study, representing distinct hilly and plain regions with different proximity to major water bodies and mountains. Data on HFRS cases were collected by county-level CDC staff using a nationally standardized case investigation questionnaire. Clinical severity and healthcare-seeking behaviors (hospital level, onset-to-visit interval) were compared.</p> <p>Results</p><p>HFRS cases in Cluster I exhibited the highest clinical severity (22.41% severe, 6.65% critical), while cases in Cluster II were strikingly mild (2.62% severe, 1.31% critical). Median onset-to-visit interval was longest in Cluster II (5 days) vs others (2–4 days). Hospital preference varied: Cluster I primarily used Class II hospitals (65.88%); Cluster II showed near-equal use of Class II (48.44%) and III (47.01%); Cluster III and non-clustered areas favored higher-level hospitals.</p> <p>Conclusion</p><p>Our findings confirmed that Jiangxi Province, though a mixed epidemic focus, exhibited distinct spatial heterogeneity in clinical severity, and healthcare-seeking behaviors. These findings underscore the need for regionally tailored strategies in HFRS prevention and control.</p></div> 2026-09-23T17:51:56Z Dataset Dataset 10.1371/journal.pntd.0014746.t001 https://figshare.com/articles/dataset/_p_The_characteristics_of_HFRS_cases_by_clusters_p_/33977176 CC BY 4.0