title: Relating weather types to asthma-related hospital admissions in New York State.
abstract: Many previous studies have looked into the relationship between asthma and individual weather variables, but comparatively few have looked at this relationship using holistic weather types (WTs). Utilizing the Spatial Synoptic Classification, this research considers up to 6 days of lag time while investigating the asthma-to-WT relationship in two age groups (under 18 and 18 and over) throughout New York State. Results indicate that a cold and dry WT in autumn corresponds to increased asthma admissions and spike days in admissions in New York City (NYC) for the school-aged population, while hot and dry WTs in summer correspond to spike days in asthma admissions in both age groups. However, results vary considerably for other regions, seasons and WTs, and spike day analysis yields clearer results than the analysis of total anomalous admissions. When stratified by multiple regions and age groups, the sample size of daily asthma admissions is a limiting factor outside of NYC.
authors.affiliation: Kent State University, Kent, OH, USA. cclee@kent.edu
authors.forename: Cameron C
authors.initials: CC
authors.lastname: Lee
authors.forename: Scott C
authors.initials: SC
authors.lastname: Sheridan
authors.forename: Shao
authors.initials: S
authors.lastname: Lin
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001249:Asthma / Q000453:epidemiology*; D002648:Child; D002675:Child, Preschool; D006801:Humans; D007223:Infant; D008875:Middle Aged; D009518:New York; D010343:Patient Admission / Q000706:statistics & numerical data*; D012621:Seasons; D017678:Sex Distribution; D013696:Temperature; D014887:Weather; D055815:Young Adult