Evidence map›Paper›PMID 25620875›Full record

ArticleAtmospheric environment (Oxford, England : 1994)2015

Predicting Onset and Duration of Airborne Allergenic Pollen Season in the United States.

Yong Zhang, Leonard Bielory, Ting Cai, Zhongyuan Mi, Panos Georgopoulos

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Atmospheric environment (Oxford, England : 1994), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Impact of Climate Change on Pollen and Respiratory Disease.Current allergy and asthma reports · 2018
    Review
  6. Article
  7. 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

5 authors at 2 institutions in 1 country.

Yong ZhangEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA ; Department of Environmental and Occupational Medicine, Rutgers University - Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA ; Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Rd., Piscataway, NJ 08854, USA.
Leonard BieloryEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA ; Department of Environmental Sciences, Rutgers University, 14 College Farm Rd., New Brunswick, NJ 08901, USA ; Department of Medicine, Section of Allergy and Immunology, Robert Wood Johnson University Hospital, New Brunswick, NJ 08901, USA.
Ting CaiEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA ; Department of Environmental and Occupational Medicine, Rutgers University - Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA ; Department of Environmental Sciences, Rutgers University, 14 College Farm Rd., New Brunswick, NJ 08901, USA.
Zhongyuan MiEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA ; Department of Environmental and Occupational Medicine, Rutgers University - Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA.
Panos GeorgopoulosEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, 170 Frelinghuysen Rd., Piscataway, NJ 08854, USA ; Department of Environmental and Occupational Medicine, Rutgers University - Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA ; Department of Chemical and Biochemical Engineering, Rutgers University, 98 Brett Rd., Piscataway, NJ 08854, USA ; Department of Environmental Sciences, Rutgers University, 14 College Farm Rd., New Brunswick, NJ 08901, USA.
Environmental and Occupational Health Sciences Institute · USJohnson University · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Emily S Barrett · 1988 to 2026
$47.4M
NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

Allergenic pollen is one of the main triggers of Allergic Airway Disease (AAD) affecting 5% to 30% of the population in industrialized countries. A modeling framework has been developed using correlation and collinearity analyses, simulated annealing, and stepwise regression based on nationwide observations of airborne pollen counts and climatic factors to predict the onsets and durations of allergenic pollen seasons of representative trees, weeds and grass in the contiguous United States. Main factors considered are monthly, seasonal and annual mean temperatures and accumulative precipitations, latitude, elevation, Growing Degree Day (GDD), Frost Free Day (FFD), Start Date (SD) and Season Length (SL) in the previous year. The estimated mean SD and SL for birch (

Indexed as

AllergyModelPollen seasonSeason lengthStart date

Identifiers

PMID25620875
PMCPMC4302955
OpenAlexW2051425843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.