Evidence map›Paper›PMID 38837197›Full record

ArticleJMIR public health and surveillance2024

Epidemic Characteristics and Meteorological Risk Factors of Hemorrhagic Fever With Renal Syndrome in 151 Cities in China From 2015 to 2021: Retrospective Analysis.

Yizhe Luo, Longyao Zhang, Yameng Xu, Qiyuan Kuai, Wenhao Li, Yifan Wu, Licheng Liu, Jiarong Ren, Lingling Zhang, Qiufang Shi and 2 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

12 authors.

Yizhe Luo *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-7362-6018
Longyao Zhang *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0009-0005-9915-0539
Yameng XuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-8649-3090
Qiyuan KuaiNanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.ORCID 0009-0003-7650-9145
Wenhao LiNanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.ORCID 0009-0006-7386-7125
Yifan WuNanjing Bioengineering (Gene) Technology Center for Medicines, Nanjing, China.ORCID 0000-0003-2245-6730
Licheng LiuJiangsu Macro and Micro Test Med-tech Co, Ltd, Nantong, China.ORCID 0000-0002-4323-315X
Jiarong RenNational 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, China, Beijing, China.ORCID 0000-0002-4115-1206
Lingling ZhangCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou, China.ORCID 0000-0001-5092-4875
Qiufang Shi *Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0009-0009-3023-2914
Xiaobo Liu *National 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, China, Beijing, China.ORCID 0000-0002-0420-2529
Weilong Tan *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-2355-2612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHemorrhagic fever with renal syndrome (HFRS) continues to pose a significant public health threat to the population in China. Previous epidemiological evidence indicates that HFRS is climate sensitive and influenced by meteorological factors. However, past studies either focused on too-narrow geographical regions or investigated time periods that were too early. There is an urgent need for a comprehensive analysis to interpret the epidemiological patterns of meteorological factors affecting the incidence of HFRS across diverse climate zones.

objectiveIn this study, we aimed to describe the overall epidemic characteristics of HFRS and explore the linkage between monthly HFRS cases and meteorological factors at different climate levels in China.

methodsThe reported HFRS cases and meteorological data were collected from 151 cities in China during the period from 2015 to 2021. We conducted a 3-stage analysis, adopting a distributed lag nonlinear model and a generalized additive model to estimate the interactions and marginal effects of meteorological factors on HFRS.

resultsThis study included a total of 63,180 cases of HFRS; the epidemic trends showed seasonal fluctuations, with patterns varying across different climate zones. Temperature had the greatest impact on the incidence of HFRS, with the maximum hysteresis effects being at 1 month (-19 ºC; relative risk [RR] 1.64, 95% CI 1.24-2.15) in the midtemperate zone, 0 months (28 ºC; RR 3.15, 95% CI 2.13-4.65) in the warm-temperate zone, and 0 months (4 ºC; RR 1.72, 95% CI 1.31-2.25) in the subtropical zone. Interactions were discovered between the average temperature, relative humidity, and precipitation in different temperature zones. Moreover, the influence of precipitation and relative humidity on the incidence of HFRS had different characteristics under different temperature layers. The hysteresis effect of meteorological factors did not end after an epidemic season, but gradually weakened in the following 1 or 2 seasons.

conclusionsWeather variability, especially low temperature, plays an important role in epidemics of HFRS in China. A long hysteresis effect indicates the necessity of continuous intervention following an HFRS epidemic. This finding can help public health departments guide the prevention and control of HFRS and develop strategies to cope with the impacts of climate change in specific regions.

Indexed as

CitiesEpidemicsHemorrhagic Fever with Renal SyndromeMeteorological ConceptsAdultChinaFemaleHumansIncidenceMaleRetrospective StudiesRisk FactorsChinaclimate changedistributed lag nonlinear modelhemorrhagic fever with renal syndromeHFRSmeteorological factors

Identifiers

PMID38837197
PMCPMC11187512

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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.