Evidence map›Paper›PMID 33872647›Full record

SynthesisEnvironmental research2021

Meteorological conditions are heterogeneous factors for COVID-19 risk in China.

Shuang Xiao, Hongchao Qi, Michael P Ward, Wenge Wang, Jun Zhang, Yue Chen, Robert Bergquist, Wei Tu, Runye Shi, Jie Hong and 5 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. The COVID-19 pandemic: Virus transmission and risk assessment.Current opinion in environmental science & health · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
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

15 authors.

Shuang XiaoDepartment of Epidemiology and Health Statistics, Fudan University, China.
Hongchao QiDepartment of Biostatistics, Erasmus University Medical Center, the Netherlands.
Michael P WardSydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia.
Wenge WangDepartment of Epidemiology and Health Statistics, Fudan University, China.
Jun ZhangDepartment of Epidemiology and Health Statistics, Fudan University, China.
Yue ChenDepartment of Epidemiology and Community Medicine, Faculty of Medicine, University of Ottawa, 451 Smyth Rd, Ottawa, ON, Canada.
Robert BergquistIngerod, Brastad, Sweden.
Wei TuDepartment of Geology and Geography, Georgia Southern University, Statesboro, GA, 30460, USA.
Runye ShiDepartment of Epidemiology and Health Statistics, Fudan University, China.
Jie HongDepartment of Epidemiology and Health Statistics, Fudan University, China.
Qing SuDepartment of Epidemiology and Health Statistics, Fudan University, China.
Zheng ZhaoDepartment of Epidemiology and Health Statistics, Fudan University, China.
Jianbo BaNaval Medical Center of PLA, 880 Xiangyin Road, Yangpu District, Shanghai, China.
Ying QinDivision of Infectious Disease, Chinese Center for Disease Control and Prevention, No. 155 Changbai Rd., Changping District, Beijing, 102206, China. Electronic address: qinying@chinacdc.cn.
Zhijie ZhangDepartment of Epidemiology and Health Statistics, Fudan University, China. Electronic address: epistat@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether meteorological factors influence COVID-19 transmission is an issue of major public health concern, but available evidence remains unclear and limited for several reasons, including the use of report date which can lag date of symptom onset by a considerable period. We aimed to generate reliable and robust evidence of this relationship based on date of onset of symptoms. We evaluated important meteorological factors associated with daily COVID-19 counts and effective reproduction number (R

Indexed as

COVID-19ChinaHumansHumidityIncidenceMeteorological ConceptsSARS-CoV-2TemperatureCOVID-19HumidityMeteorological factorTemperatureTime seriesTwo-stage approaches

Identifiers

PMID33872647
PMCPMC8050398

What OpenQuestion holds

Textmetadata
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.