Evidence map›Paper›PMID 39969708›Full record

ArticleEnvironmental science and pollution research international2025

Prediction of daily childhood asthma exacerbation from ambient meteorological, environmental risk factors and respiratory viruses, Philadelphia, PA, 2011 to 2016.

Wanyu Huang, Lucy F Robinson, Amy H Auchincloss, Leah H Schinasi, Kari Moore, Steven Melly, Christopher B Forrest, Chén C Kenyon, Anneclaire J De Roos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental science and pollution research international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Wanyu HuangDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market St, Philadelphia, PA, 19104, USA. wh397@drexel.edu.ORCID http://orcid.org/0000-0002-5786-5772
Lucy F RobinsonDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market St, Philadelphia, PA, 19104, USA.
Amy H AuchinclossDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market St, Philadelphia, PA, 19104, USA.
Leah H SchinasiUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Kari MooreUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Steven MellyUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Christopher B ForrestThe Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Chén C KenyonPolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Anneclaire J De RoosUrban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.

Funding

Pennsylvania Department of Health SAP #4100072543
6 · The paper itself

Abstract

Childhood asthma exacerbation has multiple risk factors that occur concurrently in the environment - including extreme meteorological conditions, air pollution, aeroallergens, and respiratory virus infections. Few studies have predicted asthma exacerbation based on multiple time-varying environmental risk factors, together. In this study, we constructed an autoregressive integrated moving average (ARIMA) model to predict "high-risk" days for childhood asthma exacerbation in Philadelphia, PA from 2011 to 2016, during the aeroallergen season of each year, using a total of 28,540 asthma exacerbation case events identified from electronic health record (EHR) data. We selected predictors from quantile weighted sum regression (gQWS), incorporating temporal lags and season-stratification (early- vs. late-season), which were entered subsequently into multivariable ARIMA models. We found that daily nitrogen dioxide (NO

Indexed as

AsthmaAir PollutantsAir PollutionChildEnvironmental ExposureHumansMeteorological ConceptsPhiladelphiaRisk FactorsSeasonsAir PollutantsAeroallergen seasonARIMA modelAsthmaAsthma exacerbationChildrenEnvironmental risk factorsPrediction

Identifiers

PMID39969708
PMCPMC11913910

What OpenQuestion holds

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LicenceCC BY
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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.