Evidence map›Paper›PMID 30817583›Full record

ArticleMedicine2019

Effects of climate factors on hemorrhagic fever with renal syndrome in Changchun, 2013 to 2017.

Qinglong Zhao, Xiaodi Yang, Hongjian Liu, Yixin Hu, Minfu He, Biao Huang, Laishun Yao, Na Li, Ge Zhou, Yuan Yin and 10 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Climate sensitivity is widely but unevenly spread across zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

20 authors at 4 institutions in 2 countries.

Qinglong ZhaoJilin Provincial Center for Disease Control and Prevention.
Xiaodi YangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Hongjian LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Yixin HuJilin Provincial Climate Center.
Minfu HeDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Biao HuangJilin Provincial Center for Disease Control and Prevention.
Laishun YaoJilin Provincial Center for Disease Control and Prevention.
Na LiJilin Provincial Center for Disease Control and Prevention.
Ge ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Yuan YinChangchun Center for Disease Control and Preventiona.
Meina LiThe First Hospital of Jilin University, Changchun, China.
Ping GongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Meitian LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Juan MaDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Zheng RenDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Qi WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Wenjing XiongDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Xinwen FanDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Xia GuoDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Xiumin ZhangDepartment of Social Medicine and Health Management, School of Public Health, Jilin University.
Jilin University · CNHealth Commission of Jilin Province · CNCenter for Disease Control · TWFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses (HVs). Climate factors have a significant impact on the transmission of HFRS. Here, we characterized the dynamic temporal trend of HFRS and identified the roles of climate factors in its transmission in Changchun, China.Surveillance data of HFRS cases and data on related environmental variables from 2013 to 2017 were collected. A principal components regression (PCR) model was used to quantify the relationship between climate factors and transmission of HFRS.During 2013 to 2017, a distinctly declining temporal trend of annual HFRS incidence was identified. Four principal components were extracted, with a cumulative contribution rate of 89.282%. The association between HFRS epidemics and climate factors was better explained by the PCR model (F = 10.050, P <.001, adjusted R = 0.456) than by the general multiple regression model (F = 2.748, P <.005, adjusted R = 0.397).The monthly trends of HFRS were positively correlated with the mean wind velocity but negatively correlated with the mean temperature, relative humidity, sunshine duration, and accumulative precipitation of the different previous months. The study results may be useful for the development of HFRS preventive initiatives that are customized for Changchun regarding specific climate environments.

Indexed as

ClimateHantaan virusPopulation SurveillanceChinaEpidemicsHemorrhagic Fever with Renal SyndromeHumansHumidityIncidenceRisk FactorsTemperatureWind

Identifiers

PMID30817583
PMCPMC6831229
OpenAlexW2919390145

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.