Evidence map›Paper›PMID 32009321›Full record

ArticleAllergy, asthma & immunology research2020

Allergenic Pollen Calendar in Korea Based on Probability Distribution Models and Up-to-Date Observations.

Ju Young Shin, Mae Ja Han, Changbum Cho, Kyu Rang Kim, Jong Chul Ha, Jae Won Oh

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Pollen Allergy in a Changing Planetary Environment.Allergy, asthma & immunology research · 2022
    Review
  13. Article
  14. Article
  15. Allergens of Regional Importance in Korea.Frontiers in allergy · 2021
    Review
  16. Revised Pollen Calendar in Korea.Allergy, asthma & immunology research · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ju Young ShinApplied Meteorology Research Division, National Institute of Meteorological Sciences, Seogwipo, Korea.ORCID 0000-0002-1520-3965
Mae Ja HanApplied Meteorology Research Division, National Institute of Meteorological Sciences, Seogwipo, Korea.ORCID 0000-0003-2924-436X
Changbum ChoApplied Meteorology Research Division, National Institute of Meteorological Sciences, Seogwipo, Korea.ORCID 0000-0003-1940-7487
Kyu Rang KimApplied Meteorology Research Division, National Institute of Meteorological Sciences, Seogwipo, Korea. krk9@kma.go.kr.ORCID 0000-0001-8872-6751
Jong Chul HaApplied Meteorology Research Division, National Institute of Meteorological Sciences, Seogwipo, Korea.ORCID 0000-0003-2522-6009
Jae Won OhDepartment of Pediatrics, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Korea. jaewonoh@hanyang.ac.kr.ORCID 0000-0003-2714-0065
National Institute of Meteorological Sciences · KRHanyang University Guri Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe pollen calendar is the simplest forecasting method for pollen concentrations. As pollen concentrations are liable to seasonal variations due to alterations in climate and land-use, it is necessary to update the pollen calendar using recent data. To attenuate the impact of considerable temporal and spatial variability in pollen concentrations on the pollen calendar, it is essential to employ a new methodology for its creation.

methodsA pollen calendar was produced in Korea using data from recent observations, and a new method for creating the calendar was proposed, considering both risk levels and temporal resolution of pollen concentrations. A probability distribution was used for smoothing concentrations and determining risk levels. Airborne pollen grains were collected between 2007 and 2017 at 8 stations; 13 allergenic pollens, including those of alder, Japanese cedar, birch, hazelnut, oak, elm, pine, ginkgo, chestnut, grasses, ragweed, mugwort and Japanese hop, were identified from the collected grains.

resultsThe concentrations of each pollen depend on locations and seasons due to large variability in species distribution and their environmental condition. In the descending order of concentration, pine, oak and Japanese hop pollens were found to be the most common in Korea. The pollen concentrations were high in spring and autumn, and those of oak and Japanese hop were probably the most common cause of allergy symptoms in spring and autumn, respectively. High Japanese cedar pollen counts were observed in Jeju, while moderate concentrations were in Jeonju, Gwangju and Busan.

conclusionsA new methodology for the creation of a pollen calendar was developed to attenuate the impact of large temporal and spatial variability in pollen concentrations. This revised calendar should be available to the public and allergic patients to prevent aggravation of pollen allergy.

Indexed as

birchclimateJapanese cedarmugwortoakPollenragweedrhinitis, allergic, seasonalseasons

Identifiers

PMID32009321
PMCPMC6997285
OpenAlexW2998072449

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.