Forecasting peak asthma admissions in London: An application of quantile regression models

International Journal of Biometeorology

Volumn 57, Issue 4, 2013, Pages 569-578

  Soyiri, Ireneous N ^a   Reidpath, Daniel D ^a   Sarran, Christophe ^b  

^a MONASH UNIVERSITY MALAYSIA   (Malaysia)

^b MET OFFICE   (United Kingdom)

Author keywords

Asthma; Emergency department; Health forecast; Hospital admission; Lag; Predictive model

Indexed keywords

CARBON MONOXIDE; FORMALDEHYDE; NITROGEN OXIDE; OZONE;

AIR POLLUTANT; ARTICLE; ASTHMA; FORECASTING; HOSPITALIZATION; HUMAN; PARTICULATE MATTER; REGRESSION ANALYSIS; REPRODUCIBILITY; STATISTICS; THEORETICAL MODEL; UNITED KINGDOM; WEATHER;

AIR POLLUTANTS; ASTHMA; CARBON MONOXIDE; FORECASTING; FORMALDEHYDE; HOSPITALIZATION; HUMANS; LONDON; MODELS, THEORETICAL; NITROGEN OXIDES; OZONE; PARTICULATE MATTER; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; WEATHER;

EID: 84878909478     PISSN: 00207128     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00484-012-0584-0     Document Type: Article

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