Evidence map›Paper›PMID 41799551›Full record

ArticleGeoHealth2026

Exposure-Response Associations Between Air Pollution and Laboratory-Confirmed Influenza Cases in Anhui Province, China: A Two-Stage Modeling Study.

Harry Asena Musonye, Yi-Sheng He, Lei Gong, Sai Hou, Junling Yu, Wei Chen, Peng Wang, Jun He, Hai-Feng Pan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Harry Asena MusonyeDepartment of Epidemiology and Biostatistics School of Public Health Anhui Medical University Inflammation and Immune Mediated Diseases Laboratory of Anhui Province Hefei China.
Yi-Sheng HeDepartment of Epidemiology and Biostatistics School of Public Health Anhui Medical University Inflammation and Immune Mediated Diseases Laboratory of Anhui Province Hefei China.
Lei GongHealth Emergency Office Anhui Provincial Center for Disease Control and Prevention Hefei China.
Sai HouHealth Emergency Office Anhui Provincial Center for Disease Control and Prevention Hefei China.
Junling YuMicrobiological Laboratory Anhui Provincial Center for Disease Control and Prevention Hefei China.
Wei ChenHealth Emergency Office Hefei Center for Disease Control and Prevention Affiliated to Anhui Medical University Hefei China.
Peng WangTeaching Center for Preventive Medicine School of Public Health Anhui Medical University Hefei China.
Jun HeMicrobiological Laboratory Anhui Provincial Center for Disease Control and Prevention Hefei China.ORCID https://orcid.org/0000-0002-0463-7063
Hai-Feng PanDepartment of Epidemiology and Biostatistics School of Public Health Anhui Medical University Inflammation and Immune Mediated Diseases Laboratory of Anhui Province Hefei China.ORCID https://orcid.org/0000-0001-8218-5747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza remains a global public health and socio-economic threat, and air pollution is believed to increase its risk. However, relatively few studies have focused specifically on laboratory-confirmed influenza (LCI), which limits the precision and reliability of existing evidence on this association. We sought to explore the relationship between air pollution and LCI cases in Anhui province, China. We employed a two-stage time series analysis to evaluate the associations between PM

Indexed as

air pollutioninfluenzameta‐analysisrelative risktime series analysis

Identifiers

PMID41799551
PMCPMC12963933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.