Evidence map›Paper›PMID 36532667›Full record

ArticleOne health (Amsterdam, Netherlands)2022

Climate and socio-economic factors drive the spatio-temporal dynamics of HFRS in Northeastern China.

Yanding Wang, Xianyu Wei, Xuyang Xiao, Wenwu Yin, Junyu He, Zhoupeng Ren, Zhiqiang Li, Meitao Yang, Shilu Tong, Yuming Guo and 2 more

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
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

19 citing papers in PubMed, 24 citations in OpenAlex.

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  16. Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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 at 5 institutions in 2 countries.

Yanding WangDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Xianyu WeiChinese PLA Center for Disease Control and Prevention, Beijing, China.
Xuyang XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Wenwu YinChinese Center for Disease Control and Prevention, Beijing, China.
Junyu HeOcean College, Zhejiang University, Zhoushan, China.
Zhoupeng RenInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zhiqiang LiDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Meitao YangDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Shilu TongDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Yuming GuoSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Wenyi ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Yong WangDepartment of Epidemiology and Biostatistics, School of Public Health, China Medical University, Shenyang, China.
Anhui Medical University · CNChinese Academy of Sciences · CNChinese Center For Disease Control and Prevention · CNQueensland University of Technology · AUChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hemorrhagic fever with renal syndrome (HFRS) occurs widely in Northeastern China, but the mechanism and interactions of meteorological and socio-economic factors on the transmission of HFRS are still largely unknown. Objective: We explored the effects of socioeconomic-environmental factors on the spatio-temporal variation of HFRS incidence from 2001 to 2019 in Northeastern China. Specifically, the relative importance and contribution rates (CR) of determinants of HFRS were identified by boosted regression tree and variance partitioning analysis, respectively. Structural equation models (SEMs) were used to explain the roles of climatic and socio-economic factors in the transmission of HFRS. And a negative binomial regression was used to identify the risk effect between monthly meteorological variables and HFRS with 0-6 months lags in Northeastern China. Results: Over the past decades, the high-risk areas of HFRS were mainly concentrated in the northern and eastern areas of Northeastern China. Additionally, HFRS mainly presented a decreasing trend from 2001 to 2019 in most areas of Northeastern China, but slightly increased in the cities of Daqing, Songyuan, Baicheng, and Tonghua. The temporal dynamics of the incidence of HFRS were primarily explained by the variations in population density (CR = 27.30%), climate (CR = 13.30%), and economic condition(CR = 1.90%). The spatial variations of HFRS were medicated by the climate (CR = 16.95%) and population density (CR = 9.45%) and medical health care (CR = 2.25%). The SEM models indicated that humid and warm climates were conducive to the incidence and increase of HFRS, but the improvement in education and an increase in population density reduced the transmission of HFRS. Conclusion: Climate and population density appeared to mediate the spatio-temporal variation of HFRS in Northeastern China. These findings may provide valuable empirical evidence for the management of HFRS in endemic areas.

Indexed as

ClimateHFRSNortheastern ChinaSocio-economic factorsTemporal-spatial dynamics

Identifiers

PMID36532667
PMCPMC9754969
OpenAlexW4309763557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.