Evidence map›Paper›PMID 39815365›Full record

ArticleInfectious diseases of poverty2025

Risk of hemorrhagic fever with renal syndrome associated with meteorological factors in diverse epidemic regions: a nationwide longitudinal study in China.

Nan Chang, Wenzhong Huang, Yanlin Niu, Zhihu Xu, Yuan Gao, Tingting Ye, Zihao Wang, Xiaohui Wei, Yuming Guo, Qiyong Liu

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Nan ChangSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Wenzhong HuangClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Yanlin NiuBeijing Center for Disease Prevention and Control, Institute for Nutrition and Food Hygiene, Beijing, China.
Zhihu XuClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Yuan GaoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Tingting YeClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Zihao WangSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Xiaohui WeiSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Yuming GuoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia. yuming.guo@monash.edu.
Qiyong LiuSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. liuqiyong@icdc.cn.ORCID http://orcid.org/0000-0003-4066-7988

Funding

Chinese Academy of Engineering 2023-JB-12Comprehensive Innovation Capability Support of Intelligent Tracking and Forecasting for Infectious Diseases 102393240020020000004the Major Program of National Natural Science Foundation of China 32090023
6 · The paper itself

Abstract

backgroundHemorrhagic fever with renal syndrome (HFRS) is a climate-sensitive zoonotic disease that poses a significant public health burden worldwide. While previous studies have established associations between meteorological factors and HFRS incidence, there remains a critical knowledge gap regarding the heterogeneity of these effects across diverse epidemic regions. Addressing this gap is essential for developing region-specific prevention and control strategies. This study conducted a national investigation to examine the associations between meteorological factors and HFRS in three distinct epidemic regions.

methodsWe collected daily meteorological data (temperature and relative humidity) and HFRS incidence cases of 285 cities in China from the Resource and Environment Science and Data Center and the Chinese National Notifiable Infectious Disease Reporting Information System from 2005-2022. Study locations were stratified into three distinct epidemic categories (Rattus-dominant, Apodemus-dominant, and mixed) based on the seasonality of peak incidence. The associations between meteorological variables and HFRS incidence were investigated using a time-stratified case-crossover design combined with distributed lag nonlinear modeling for each epidemic category.

resultsThe exposure-response relationships between meteorological factors and HFRS incidence revealed significant heterogeneity across epidemic regions, as evidenced by Cochran's Q test for temperature (Q = 324.40, P < 0.01) and relative humidity (Q = 30.57, P < 0.01). The optimal daily average temperature for HFRS transmission in Rattus-dominant epidemic regions (- 6.6 °C), characterized by spring epidemics, was lower than that observed in Apodemus-dominant epidemic regions (13.7 °C), where primary cases occurred during autumn and winter months. Furthermore, the association between relative humidity and HFRS incidence exhibited as a monotonic negative correlation in Rattus-dominant regions, while Apodemus-dominant regions showed a nonlinear, inverted U-shaped association.

conclusionsThis study highlights the heterogeneous effects of meteorological factors on HFRS incidence across different epidemic regions. Targeted preventive measures should be taken during cold and dry spring days in Rattus-dominant regions, and during warm and moderately humid winter days in Apodemus-dominant regions. In mixed epidemic regions, both scenarios require attention. These findings provide novel scientific evidence for the formulation and implementation of region-specific HFRS prevention policies.

Indexed as

EpidemicsHemorrhagic Fever with Renal SyndromeMeteorological ConceptsAnimalsChinaHumansHumidityIncidenceLongitudinal StudiesMaleRisk FactorsSeasonsTemperatureDiverse epidemic regionsHemorrhagic fever with renal syndromeHumidityTemperature

Identifiers

PMID39815365
PMCPMC11737169

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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.