Evidence map›Paper›PMID 36992303›Full record

ArticleViruses2023

Association between Temperature and Influenza Activity across Different Regions of China during 2010-2017.

Dina Wang, Hao Lei, Dayan Wang, Yuelong Shu, Shenglan Xiao

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  13. Global warming risks dehydrating and inflaming human airways.Communications earth & environment · 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

5 authors.

Dina WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Hao LeiSchool of Public Health, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-1850-7040
Dayan WangNational Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China.ORCID 0000-0002-4990-1016
Yuelong ShuSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.
Shenglan XiaoSchool of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.ORCID 0000-0002-6265-9199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza causes a significant disease burden as an acute respiratory infection. Evidence suggests that meteorological factors can influence the spread of influenza; however, the association between these factors and influenza activity remains controversial. In this study, we investigated the impact of temperature on influenza across different regions of China based on the meteorological data and influenza data from 554 sentinel hospitals in 30 provinces and municipalities in China from 2010 to 2017. A distributed lag nonlinear model (DLNM) was used to analyze the exposure lag response of daily mean temperatures to the risk of influenza-like illness (ILI), influenza A (Flu A), and influenza B (Flu B). We found that in northern China, low temperatures increased the risk of ILI, Flu A, and Flu B, while in central and southern China, both low and high temperatures increased the risk of ILI and Flu A, and only low temperatures increased the risk of Flu B. This study suggests that temperature is closely associated with the influenza activity in China. Temperature should be integrated into the current public health surveillance system for highly accurate influenza warnings and the timely implementation of disease prevention and control measures.

Indexed as

Influenza, HumanChinaHot TemperatureHumansMeteorological ConceptsTemperatureinfluenza Ainfluenza Binfluenza-like illnesstemperature

Identifiers

PMID36992303
PMCPMC10054176

What OpenQuestion holds

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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.