Environmental factors associated with general practitioner consultations for allergic rhinitis in London, England: a retrospective time series analysis.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
04 12 2020
Historique:
entrez: 5 12 2020
pubmed: 6 12 2020
medline: 12 3 2021
Statut: epublish

Résumé

To identify key predictors of general practitioner (GP) consultations for allergic rhinitis (AR) using meteorological and environmental data. A retrospective, time series analysis of GP consultations for AR. A large GP surveillance network of GP practices in the London area. The study population was all persons who presented to general practices in London that report to the Public Health England GP in-hours syndromic surveillance system during the study period (3 April 2012 to 11 August 2014). Consultations for AR (numbers of consultations). During the study period there were 186 401 GP consultations for AR. High grass and nettle pollen counts (combined) were associated with the highest increases in consultations (for the category 216-270 grains/m Changes in grass, nettle or tree pollen counts, temperatures between 15°C and 20°C, and (to a lesser extent) NO

Identifiants

pubmed: 33277274
pii: bmjopen-2019-036724
doi: 10.1136/bmjopen-2019-036724
pmc: PMC7722376
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e036724

Informations de copyright

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Dan Todkill (D)

Field Epidemiology Training Programme, National Infection Service, Public Health England, Birmingham, UK D.Todkill@warwick.ac.uk.
Health Services Division, Warwick Medical School, University of Warwick, Coventry, UK.

Felipe de Jesus Colon Gonzalez (F)

School of Environmental Sciences, University of East Anglia, Norwich, UK.
Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.

Roger Morbey (R)

Real-time Syndromic Surveillance Team, National Infection Service, Public Health England, Birmingham, UK.

Andre Charlett (A)

Statistics, Modelling and Economics Unit, Public Health England, London, UK.

Shakoor Hajat (S)

Department of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, UK.

Sari Kovats (S)

Department of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, UK.

Nicholas J Osborne (NJ)

School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
European Centre for Environment and Human Health, College of Medicine and Health, University of Exeter, Exeter, UK.

Rachel McInnes (R)

Met Office, Exeter, UK.

Sotiris Vardoulakis (S)

Australian National University, Canberra, Australian Capital Territory, Australia.

Karen Exley (K)

Air Quality & Public Health Group, Environmental Hazards and Emergencies Department, Centre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, UK.

Obaghe Edeghere (O)

Field Epidemiology Training Programme, National Infection Service, Public Health England, Birmingham, UK.
Real-time Syndromic Surveillance Team, National Infection Service, Public Health England, Birmingham, UK.

Gillian Smith (G)

Health Services Division, Warwick Medical School, University of Warwick, Coventry, UK.
Real-time Syndromic Surveillance Team, National Infection Service, Public Health England, Birmingham, UK.

Alex J Elliot (AJ)

Health Services Division, Warwick Medical School, University of Warwick, Coventry, UK.
Real-time Syndromic Surveillance Team, National Infection Service, Public Health England, Birmingham, UK.

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