Evidence map›Paper›PMID 42233161›Full record

ArticleOne health (Amsterdam, Netherlands)2026

Regional heterogeneity of spatial-temporal characteristics and meteorological-environmental driving factors of hemorrhagic fever with renal syndrome in China.

Chuanlong Cheng, Michael Tong, Yuchen Hu, Qi Gao, Hui Zuo, Yuqi Zhang, Liang Lu, Xiujun Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in One health (Amsterdam, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chuanlong ChengDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.
Michael TongNational Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australian Capital Territory 2601, Australia.
Yuchen HuInstitute of Clinical Trials and Methodology, MRC Clinical Trials Unit, University College London, London WC1V 6LJ, UK.
Qi GaoDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.
Hui ZuoDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.
Yuqi ZhangDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.
Liang LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102211, China.
Xiujun LiDepartment of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemorrhagic fever with renal syndrome (HFRS), a major rodent-borne disease in China, exhibits shifting spatial and incidence patterns due to climate change. From a One Health perspective-integrating human, animal, and environmental health-this China-wide survey aims to identify spatiotemporal characteristics of HFRS and assess regional heterogeneity associated with meteorological and environmental factors. Methods: Using HFRS case data from 2005 to 2022 in China, this study employed a distributed lag non-linear model to examine associations with meteorological factors, and used a generalized additive mixed model to examine associations with environmental factors. The spatiotemporal effects of these factors were further analyzed across different epidemic types, climate zones, and geographical regions to identify key drivers of HFRS risk. Results: A bimodal seasonal pattern was observed, with HFRS incidence peaking in autumn/winter ( Conclusion: HFRS exhibits geographical clustering and bimodal seasonal pattern in China, driven by regional heterogeneity in host species, meteorological and environmental factors. These spatiotemporal patterns, viewed through a One Health lens, necessitate region-specific interventions to guide precision prevention and early warning nationwide.

Indexed as

Ecological studyEpidemic typeHemorrhagic fever with renal syndromeMeteorological and environmental factorsRegional heterogeneity

Identifiers

PMID42233161
PMCPMC13223968

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.