Evidence map›Paper›PMID 30759620›Full record

ArticleThe Science of the total environment2019

Development of a semi-mechanistic allergenic pollen emission model.

Ting Cai, Yong Zhang, Xiang Ren, Leonard Bielory, Zhongyuan Mi, Christopher G Nolte, Yang Gao, L Ruby Leung, Panos G Georgopoulos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Science of the total environment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Ting CaiEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ 08854, USA; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ 08901, USA.
Yong ZhangEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ 08854, USA; Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Xiang RenEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ 08854, USA; Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Leonard BieloryDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ 08901, USA.
Zhongyuan MiEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ 08854, USA; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ 08901, USA.
Christopher G NolteNational Exposure Research Laboratory, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA.
Yang GaoAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
L Ruby LeungAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Panos G GeorgopoulosEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, NJ 08854, USA; Department of Environmental Sciences, Rutgers University, New Brunswick, NJ 08901, USA; Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854, USA; Department of Environmental and Occupational Health, Rutgers School of Public Health, Piscataway, NJ 08854, USA; Department of Pharmacology, Rutgers Robert Wood Johnson Medical School, Piscataway, NJ 08854, USA. Electronic address: panosg@ccl.rutgers.edu.

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
Intramural EPA EPA999999NIEHS NIH HHS P30 ES005022
6 · The paper itself

Abstract

Modeling pollen emission processes is crucial for studying the spatiotemporal distributions of airborne allergenic pollen. A semi-mechanistic emission model was developed based on mass balance of pollen grain fluxes in the surroundings of allergenic plants. The emission model considers direct emission and resuspension and accounts for influences of temperature, wind velocity, and relative humidity. Modules of this emission model have been developed and parameterized with multiple years of pollen count observations to provide pollen season onset and duration, hourly flowering likelihood, and vegetation coverage for oak and ragweed, as two examples. The simulated spatiotemporal pattern of pollen emissions generally follows the corresponding pattern of area coverage of allergenic plants and diurnal pattern of hourly flowering likelihood. It is found that oak pollen emissions start from the Southern part of the Contiguous United States (CONUS) in March and then shift gradually toward the Northern CONUS, with a maximum emission flux of 5.8 × 10

Indexed as

Models, TheoreticalAir PollutantsAllergensEnvironmental MonitoringPollenSpatio-Temporal AnalysisAir PollutantsAllergensAllergyDistributionEmissionModelPollenSensitivity analysis

Identifiers

PMID30759620
PMCPMC7841766

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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.