ArticleFrontiers in public health2022
Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010-2019 in Lanzhou, China.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Associations between sunshine and influenza or influenza-like illness, a systematic review and meta-analysis.International journal of biometeorology · 2026Pooled it
- Effects of ambient temperature on influenza-like illness: A multicity analysis in Shandong Province, China, 2014-2017.Frontiers in public health · 2022Pooled it
- Spatial-temporal epidemiological characteristics of influenza and its correlation with meteorological factors in Gansu province based on 24 solar terms.BMC public health · 2026Article
- Epidemic Pattern Changes in Influenza A and B and Mycoplasma pneumoniae Pediatric Respiratory Infections During and After the COVID-19 Pandemic Restrictions in Northwest China.Current microbiology · 2026Article
- Impact of meteorological factors on the incidence of hand, foot, and mouth disease caused by major enterovirus pathogens: a distributed lag nonlinear analysis in Fujian Province, China.BMC infectious diseases · 2025Article
- Spatio-temporal patterns and associated factors of influenza-like illness outbreaks in Chinese mainland: a Bayesian modeling study.BMC public health · 2025Article
- Interactive effects of meteorological factors and ambient air pollutants on influenza incidences 2019-2022 in Huaian, China.Infectious Disease Modelling · 2025Article
- Scarlet fever and meteorological exposures in Jiangsu, China: a time-stratified case-crossover study.BMC public health · 2025Article
- Article
- The Association Between Humidex and Daily Outpatient Visits for Pediatric Respiratory Diseases in Shijiazhuang, China: A Time Series Analysis.International journal of public health · 2025Article
- Impact of meteorological factors on influenza incidence in Wuxi from 2014 to 2019: a time series and comprehensive analysis.Frontiers in public health · 2025Article
- Improving influenza prediction in Quanzhou, China: an ARIMAX model integrated with meteorological drivers.Frontiers in public health · 2025Article
- Study of the driving factors of the abnormal influenza A (H3N2) epidemic in 2022 and early predictions in Xiamen, China.BMC infectious diseases · 2024Article
- Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period.BMC infectious diseases · 2024Article
- Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm.BMC public health · 2022Article
- Effects and Interaction of Meteorological Factors on Pulmonary Tuberculosis in Urumqi, China, 2013-2019.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Influenza is a seasonal infectious disease, and meteorological parameters critically influence the incidence of influenza. However, the meteorological parameters linked to influenza occurrence in semi-arid areas are not studied in detail. This study aimed to clarify the impact of meteorological parameters on influenza incidence during 2010-2019 in Lanzhou. The results are expected to facilitate the optimization of influenza-related public health policies by the local healthcare departments. Methods: Descriptive data related to influenza incidence and meteorology during 2010-2019 in Lanzhou were analyzed. The exposure-response relationship between the risk of influenza occurrence and meteorological parameters was explored according to the distributed lag no-linear model (DLNM) with Poisson distribution. The response surface model and stratified model were used to estimate the interactive effect between relative humidity (RH) and other meteorological parameters on influenza incidence. Results: A total of 6701 cases of influenza were reported during 2010-2019. DLNM results showed that the risk of influenza would gradually increase as the weekly mean average ambient temperature (AT), RH, and absolute humidity (AH) decrease at lag 3 weeks when they were lower than 12.16°C, 51.38%, and 5.24 g/m Conclusion: This study indicated that low AT, low humidity (RH and AH), and high air pressure (AP) increased the risk of influenza. Moreover, the interactive effect of low RH with low AT and high AP can aggravate the incidence of influenza.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.