Home > Research > Publications & Outputs > Meteorological conditions and incidence of Legi...

Electronic data

  • S095026881200101Xa

    Rights statement: http://journals.cambridge.org/action/displayJournal?jid=HYG The final, definitive version of this article has been published in the Journal, Epidemiology & Infection, 141 (4), pp 687-696 2013, © 2013 Cambridge University Press.

    Final published version, 258 KB, PDF document

Links

Text available via DOI:

View graph of relations

Meteorological conditions and incidence of Legionnaires’ disease in Glasgow, Scotland: application of statistical modelling

Research output: Contribution to journalJournal article

Published

Standard

Meteorological conditions and incidence of Legionnaires’ disease in Glasgow, Scotland : application of statistical modelling. / Dunn, Christine E.; Rowlingson, Barry; Bhopal, R. S.; Diggle, Peter.

In: Epidemiology and Infection, Vol. 141, No. 4, 04.2013, p. 687-696.

Research output: Contribution to journalJournal article

Harvard

APA

Vancouver

Author

Dunn, Christine E. ; Rowlingson, Barry ; Bhopal, R. S. ; Diggle, Peter. / Meteorological conditions and incidence of Legionnaires’ disease in Glasgow, Scotland : application of statistical modelling. In: Epidemiology and Infection. 2013 ; Vol. 141, No. 4. pp. 687-696.

Bibtex

@article{a37b5b7320a141bb9e97c8dc1f2709fb,
title = "Meteorological conditions and incidence of Legionnaires’ disease in Glasgow, Scotland: application of statistical modelling",
abstract = "This study investigated the relationships between Legionnaires’ disease (LD) incidence and weather in Glasgow, UK, by using advanced statistical methods. Using daily meteorological data and 78 LD cases with known exact date of onset, we fitted a series of Poisson log-linear regression models with explanatory variables for air temperature, relative humidity, wind speed and year, and sine-cosine terms for within-year seasonal variation. Our initial model showed an association between LD incidence and 2-day lagged humidity (positive, P=0.0236) and wind speed (negative, P=0.033). However, after adjusting for year-by-year and seasonal variation in cases there were no significant associations with weather. We also used normal linear models to assess the importance of short-term, unseasonable weather values. The most significant association was between LD incidence and air temperature residual lagged by 1 day prior to onset (P=0.0014). The contextual role of unseasonably high air temperatures is worthy of further investigation. Our methods and results have further advanced understanding of the role which weather plays in risk of LD infection.",
keywords = "Legionnaires' disease, statistics",
author = "Dunn, {Christine E.} and Barry Rowlingson and Bhopal, {R. S.} and Peter Diggle",
year = "2013",
month = "4",
doi = "10.1017/S095026881200101X",
language = "English",
volume = "141",
pages = "687--696",
journal = "Epidemiology and Infection",
issn = "0950-2688",
publisher = "Cambridge University Press",
number = "4",

}

RIS

TY - JOUR

T1 - Meteorological conditions and incidence of Legionnaires’ disease in Glasgow, Scotland

T2 - application of statistical modelling

AU - Dunn, Christine E.

AU - Rowlingson, Barry

AU - Bhopal, R. S.

AU - Diggle, Peter

PY - 2013/4

Y1 - 2013/4

N2 - This study investigated the relationships between Legionnaires’ disease (LD) incidence and weather in Glasgow, UK, by using advanced statistical methods. Using daily meteorological data and 78 LD cases with known exact date of onset, we fitted a series of Poisson log-linear regression models with explanatory variables for air temperature, relative humidity, wind speed and year, and sine-cosine terms for within-year seasonal variation. Our initial model showed an association between LD incidence and 2-day lagged humidity (positive, P=0.0236) and wind speed (negative, P=0.033). However, after adjusting for year-by-year and seasonal variation in cases there were no significant associations with weather. We also used normal linear models to assess the importance of short-term, unseasonable weather values. The most significant association was between LD incidence and air temperature residual lagged by 1 day prior to onset (P=0.0014). The contextual role of unseasonably high air temperatures is worthy of further investigation. Our methods and results have further advanced understanding of the role which weather plays in risk of LD infection.

AB - This study investigated the relationships between Legionnaires’ disease (LD) incidence and weather in Glasgow, UK, by using advanced statistical methods. Using daily meteorological data and 78 LD cases with known exact date of onset, we fitted a series of Poisson log-linear regression models with explanatory variables for air temperature, relative humidity, wind speed and year, and sine-cosine terms for within-year seasonal variation. Our initial model showed an association between LD incidence and 2-day lagged humidity (positive, P=0.0236) and wind speed (negative, P=0.033). However, after adjusting for year-by-year and seasonal variation in cases there were no significant associations with weather. We also used normal linear models to assess the importance of short-term, unseasonable weather values. The most significant association was between LD incidence and air temperature residual lagged by 1 day prior to onset (P=0.0014). The contextual role of unseasonably high air temperatures is worthy of further investigation. Our methods and results have further advanced understanding of the role which weather plays in risk of LD infection.

KW - Legionnaires' disease

KW - statistics

U2 - 10.1017/S095026881200101X

DO - 10.1017/S095026881200101X

M3 - Journal article

VL - 141

SP - 687

EP - 696

JO - Epidemiology and Infection

JF - Epidemiology and Infection

SN - 0950-2688

IS - 4

ER -