title: Temperature variability and childhood pneumonia: an ecological study.
abstract: BACKGROUND
  Few data on the relationship between temperature variability and childhood pneumonia are available. This study attempted to fill this knowledge gap.
  
  
  METHODS
  A quasi-Poisson generalized linear regression model combined with a distributed lag non-linear model was used to quantify the impacts of diurnal temperature range (DTR) and temperature change between two neighbouring days (TCN) on emergency department visits (EDVs) for childhood pneumonia in Brisbane, from 2001 to 2010, after controlling for possible confounders.
  
  
  RESULTS
  An adverse impact of TCN on EDVs for childhood pneumonia was observed, and the magnitude of this impact increased from the first five years (2001-2005) to the second five years (2006-2010). Children aged 5-14 years, female children and Indigenous children were particularly vulnerable to TCN impact. However, there was no significant association between DTR and EDVs for childhood pneumonia.
  
  
  CONCLUSIONS
  As climate change progresses, the days with unstable weather pattern are likely to increase. Parents and caregivers of children should be aware of the high risk of pneumonia posed by big TCN and take precautionary measures to protect children, especially those with a history of respiratory diseases, from climate impacts.
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Xu
authors.forename: Wenbiao
authors.initials: W
authors.lastname: Hu
authors.affiliation: School of Public Health and Social Work& Institute of Health and Biomedical Innovation, Queensland University of Technology, Kelvin Grove 4059, Australia. s.tong@qut.edu.au.
authors.forename: Shilu
authors.initials: S
authors.lastname: Tong
mesh_terms: D000293:Adolescent; D000393:Air Pollutants / Q000032:analysis; D002648:Child; D002675:Child, Preschool; D004636:Emergency Service, Hospital / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D016014:Linear Models; D008297:Male; D009585:Nitrogen Dioxide / Q000032:analysis; D010126:Ozone / Q000032:analysis; D052638:Particulate Matter / Q000032:analysis; D011014:Pneumonia / Q000453:epidemiology*; D011793:Queensland / Q000453:epidemiology; D013696:Temperature
chemical_list: D000393:Air Pollutants; D052638:Particulate Matter; D010126:Ozone; D009585:Nitrogen Dioxide