Literature DB >> 11594632

Predicting days of high allergenic risk during Betula pollination using weather types.

K Laaidi1.   

Abstract

The aim of this study was to build up a picture of the influence of meteorological conditions on pollen and pollinosis, taking account of weather types, pollen concentrations in the air and pollinosis symptoms, with the aim of preventing allergic responses. The study took place in Burgundy from 1996 to 1998, during the pollination of the birch (Betula), which is the most important arborean allergen in this region. We used daily pollen data from four Hirst volumetric traps, identified weather types by Bénichou's classification, and obtained data on the occurrence of rhinitis, conjunctivitis, asthma and coughing from a sample of 100 patients. These data were analysed by multiple-component analysis. The results show that pollen dispersal is favoured by windy conditions, low relative humidity, precipitation below 2 mm and temperatures above 6 degrees C. Such weather also favours pollinosis, but other particular meteorological situations, even if they do not assist pollen dispersal, can act directly on the development of symptoms: a decrease of temperature (3 degrees C) led to the development of rhinitis and conjunctivitis, while strong winds were associated with many cases of conjunctivitis and asthma, owing to the irritant effect of cold or wind; asthma was favoured by temperature inversions with fog, probably because such weather corresponds to high levels of pollution, which act on bronchial hyperreactivity. Because the weather types favouring pollination and pollinosis are predicted by the meteorological office, this can constitute a tool for reducing the effect of high-risk allergenic days.

Entities:  

Mesh:

Year:  2001        PMID: 11594632     DOI: 10.1007/s004840100096

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  12 in total

1.  Correlation between meteorological conditions and Parietaria pollen concentration in Alassio, north-west Italy.

Authors:  P Crimi; G Macrina; C Folli; L Bertoluzzo; L Brichetto; I Caviglia; A Fiorina
Journal:  Int J Biometeorol       Date:  2004-06-17       Impact factor: 3.787

2.  A synoptic climatology of pollen concentrations during the six warmest months in Sydney, Australia.

Authors:  Melissa Anne Hart; Richard de Dear; Paul John Beggs
Journal:  Int J Biometeorol       Date:  2006-09-26       Impact factor: 3.787

3.  Changes in the pollen seasons of the early flowering trees Alnus spp. and Corylus spp. in Worcester, United Kingdom, 1996-2005.

Authors:  Jean Emberlin; Matt Smith; Rebecca Close; Beverley Adams-Groom
Journal:  Int J Biometeorol       Date:  2006-10-06       Impact factor: 3.787

4.  Exploring the spatio-temporal relationship between two key aeroallergens and meteorological variables in the United Kingdom.

Authors:  Nabaz Khwarahm; Jadunandan Dash; Peter M Atkinson; R M Newnham; C A Skjøth; B Adams-Groom; Eric Caulton; K Head
Journal:  Int J Biometeorol       Date:  2014-01-31       Impact factor: 3.787

5.  Transport of airborne pollen into the city of Thessaloniki: the effects of wind direction, speed and persistence.

Authors:  Athanasios Damialis; Dimitrios Gioulekas; Chariklia Lazopoulou; Christos Balafoutis; Despina Vokou
Journal:  Int J Biometeorol       Date:  2004-10-19       Impact factor: 3.787

6.  Prediction of airborne pollen concentrations by artificial neural network and their relationship with meteorological parameters and air pollutants.

Authors:  Gholamreza Goudarzi; Yaser Tahmasebi Birgani; Mohammad-Ali Assarehzadegan; Abdolkazem Neisi; Maryam Dastoorpoor; Armin Sorooshian; Mohsen Yazdani
Journal:  J Environ Health Sci Eng       Date:  2022-01-15

7.  Prediction of the birch pollen season characteristics in Cracow, Poland using an 18-year data series.

Authors:  Myszkowska Dorota
Journal:  Aerobiologia (Bologna)       Date:  2012-05-11       Impact factor: 2.410

8.  Comparison of camel tear proteins between summer and winter.

Authors:  Ziyan Chen; Farrukh A Shamsi; Kaijun Li; Qiang Huang; Ali A Al-Rajhi; Imtiaz A Chaudhry; Kaili Wu
Journal:  Mol Vis       Date:  2011-02-01       Impact factor: 2.367

9.  Changes in present and future circulation types frequency in northwest Iberian Peninsula.

Authors:  María N Lorenzo; Alexandre M Ramos; Juan J Taboada; Luis Gimeno
Journal:  PLoS One       Date:  2011-01-21       Impact factor: 3.240

10.  Artificial neural network model of the relationship between Betula pollen and meteorological factors in Szczecin (Poland).

Authors:  Małgorzata Puc
Journal:  Int J Biometeorol       Date:  2011-05-15       Impact factor: 3.787

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.