A respiratory alert model for the Shenandoah Valley, Virginia, USA

David Hondula, Robert E. Davis, David B. Knight, Luke J. Sitka, Kyle Enfield, Stephen B. Gawtry, Phillip J. Stenger, Michael L. Deaton, Caroline P. Normile, Temple R. Lee

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Respiratory morbidity (particularly COPD and asthma) can be influenced by short-term weather fluctuations that affect air quality and lung function. We developed a model to evaluate meteorological conditions associated with respiratory hospital admissions in the Shenandoah Valley of Virginia, USA. We generated ensembles of classification trees based on six years of respiratory-related hospital admissions (64,620 cases) and a suite of 83 potential environmental predictor variables. As our goal was to identify short-term weather linkages to high admission periods, the dependent variable was formulated as a binary classification of five-day moving average respiratory admission departures from the seasonal mean value. Accounting for seasonality removed the long-term apparent inverse relationship between temperature and admissions. We generated eight total models specific to the northern and southern portions of the valley for each season. All eight models demonstrate predictive skill (mean odds ratio = 3. 635) when evaluated using a randomization procedure. The predictor variables selected by the ensembling algorithm vary across models, and both meteorological and air quality variables are included. In general, the models indicate complex linkages between respiratory health and environmental conditions that may be difficult to identify using more traditional approaches.

Original languageEnglish (US)
Pages (from-to)91-105
Number of pages15
JournalInternational Journal of Biometeorology
Volume57
Issue number1
DOIs
StatePublished - 2013
Externally publishedYes

Fingerprint

Weather
Air
valley
Environmental Health
Random Allocation
Chronic Obstructive Pulmonary Disease
Asthma
Odds Ratio
Morbidity
air quality
Lung
Temperature
weather
asthma
morbidity
seasonality
environmental conditions
temperature
hospital

Keywords

  • Air quality
  • Classification tree
  • COPD
  • Respiratory health
  • Virginia
  • Weather

ASJC Scopus subject areas

  • Ecology
  • Atmospheric Science
  • Health, Toxicology and Mutagenesis

Cite this

Hondula, D., Davis, R. E., Knight, D. B., Sitka, L. J., Enfield, K., Gawtry, S. B., ... Lee, T. R. (2013). A respiratory alert model for the Shenandoah Valley, Virginia, USA. International Journal of Biometeorology, 57(1), 91-105. https://doi.org/10.1007/s00484-012-0537-7

A respiratory alert model for the Shenandoah Valley, Virginia, USA. / Hondula, David; Davis, Robert E.; Knight, David B.; Sitka, Luke J.; Enfield, Kyle; Gawtry, Stephen B.; Stenger, Phillip J.; Deaton, Michael L.; Normile, Caroline P.; Lee, Temple R.

In: International Journal of Biometeorology, Vol. 57, No. 1, 2013, p. 91-105.

Research output: Contribution to journalArticle

Hondula, D, Davis, RE, Knight, DB, Sitka, LJ, Enfield, K, Gawtry, SB, Stenger, PJ, Deaton, ML, Normile, CP & Lee, TR 2013, 'A respiratory alert model for the Shenandoah Valley, Virginia, USA', International Journal of Biometeorology, vol. 57, no. 1, pp. 91-105. https://doi.org/10.1007/s00484-012-0537-7
Hondula, David ; Davis, Robert E. ; Knight, David B. ; Sitka, Luke J. ; Enfield, Kyle ; Gawtry, Stephen B. ; Stenger, Phillip J. ; Deaton, Michael L. ; Normile, Caroline P. ; Lee, Temple R. / A respiratory alert model for the Shenandoah Valley, Virginia, USA. In: International Journal of Biometeorology. 2013 ; Vol. 57, No. 1. pp. 91-105.
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