Evidence map›Paper›PMID 31527480›Full record

SynthesisInternational journal of environmental research and public health2019

The Impacts of Climatic Factors and Vegetation on Hemorrhagic Fever with Renal Syndrome Transmission in China: A Study of 109 Counties.

Junyu He, Yong Wang, Di Mu, Zhiwei Xu, Quan Qian, Gongbo Chen, Liang Wen, Wenwu Yin, Shanshan Li, Wenyi Zhang and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Genetic Evolution Analysis and Host Characteristics of Hantavirus in Yunnan Province, China.International journal of environmental research and public health · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Orthohantaviruses, Emerging Zoonotic Pathogens.Pathogens (Basel, Switzerland) · 2020
    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

11 authors at 4 institutions in 2 countries.

Junyu HeOcean College, Zhejiang University, Zhoushan 316021, China. jxgzhejunyu@163.com.ORCID 0000-0003-1873-3125
Yong WangChinese PLA Center for Disease Control and Prevention, Beijing 100071, China. 13693013596@163.com.
Di MuDivision of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China. mudi@chinacdc.cn.
Zhiwei XuSchool of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Queensland 4059, Australia. z13.xu@qut.edu.au.
Quan QianChinese PLA Center for Disease Control and Prevention, Beijing 100071, China. qianquan@aliyun.com.
Gongbo ChenDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. gongbo.chen@monash.edu.
Liang WenChinese PLA Center for Disease Control and Prevention, Beijing 100071, China. wenlty@sohu.com.
Wenwu YinDivision of Infectious Diseases, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China. yinww@chinacdc.cn.
Shanshan LiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. shanshan.li@monash.edu.
Wenyi ZhangChinese PLA Center for Disease Control and Prevention, Beijing 100071, China. zwy0419@126.com.
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne 3004, Australia. yuming.guo@monash.edu.
Monash University · AUChinese Center For Disease Control and Prevention · CNQueensland University of Technology · AUZhejiang Ocean 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 infectious disease caused by hantaviruses. About 90% of global cases were reported in China. We collected monthly data on counts of HFRS cases, climatic factors (mean temperature, rainfall, and relative humidity), and vegetation (normalized difference vegetation index (NDVI)) in 109 Chinese counties from January 2002 to December 2013. First, we used a quasi-Poisson regression with a distributed lag non-linear model to assess the impacts of these four factors on HFRS in 109 counties, separately. Then we conducted a multivariate meta-analysis to pool the results at the national level. The results of our study showed that there were non-linear associations between the four factors and HFRS. Specifically, the highest risks of HFRS occurred at the 45th, 30th, 20th, and 80th percentiles (with mean and standard deviations of 10.58 ± 4.52 °C, 18.81 ± 17.82 mm, 58.61 ± 6.33%, 198.20 ± 22.23 at the 109 counties, respectively) of mean temperature, rainfall, relative humidity, and NDVI, respectively. HFRS case estimates were most sensitive to mean temperature amongst the four factors, and the lag patterns of the impacts of these factors on HFRS were heterogeneous. Our findings provide rigorous scientific support to current HFRS monitoring and the development of early warning systems.

Indexed as

ChinaHemorrhagic Fever with Renal SyndromeHumansIncidenceMultivariate AnalysisPlantsWeatherdistributed lag non-linear modelhantavirus diseasemeta-analysisorthohantavirusrisk map

Identifiers

PMID31527480
PMCPMC6765884
OpenAlexW2972725950

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.