Effects of hourly levels of ambient air pollution on ambulance emergency call-outs in Shenzhen, China.

Environ Sci Pollut Res Int

Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.

Published: July 2020

AI Article Synopsis

  • The study explores the link between hourly air pollution levels and emergency ambulance call-outs (AECOs) in Shenzhen, China, covering data from 2013 to 2016.
  • Significant effects were found from pollutants like SO and PM, with immediate impacts and a lasting effect observed for up to 96 hours after exposure.
  • The research used a time-stratified case-crossover design to analyze the data, offering valuable insights into how air pollution influences ambulance dispatches on an hourly basis.

Article Abstract

Some researches have shown the associations between air pollution and hospital-based emergency department visits, while the evidence about the acute effects of air pollution on emergency ambulance dispatches for the whole population is rarely available, especially on an hourly time scale. This paper aimed to investigate the effects of hourly concentrations of ambient air pollution on hourly number of ambulance emergency call-outs (AECOs) in Shenzhen, China. AECO data were collected from Shenzhen Emergency Center from January 2013 to December 2016. A time-stratified case-crossover design with conditional Poisson regression was performed to fit the relationship between hourly air pollution and AECOs. The distributed lag model was applied to determine lag structure of the effects of air pollutants. There were a total of 502,862 AECOs during the study period. The significant detrimental effects of SO, PM, and PM appeared immediately with a following harvesting effect after 5 h and the effects lasted for about 96 h. The cumulative effect estimates of four pollutants over 0-96 h were 13.99% (95% CI 7.52-20.85%), 2.07% (95% CI 0.72-3.43%), 1.20% (95% CI 0.54-1.87%), and 2.46% (95% CI 1.63-3.29%), respectively. We did not observe significant effects of O. This population-based study quantifies the adverse effects of air pollution on ambulance dispatches and provides evidence of the lag structure of the effects on an hourly time scale.

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Source
http://dx.doi.org/10.1007/s11356-020-08416-wDOI Listing

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