2013
DOI: 10.1179/2049396713y.0000000045
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Are day-to-day variations of airborne particles associated with emergency ambulance dispatches?

Abstract: Background: Much of the evidence on the health effects of airborne particles is based on mortality and hospital admissions, while the evidence from other morbidity indicators is still limited. Objective: To measure the relationship between particles with diameter below 10 mm (PM 10 ) and emergency ambulance dispatches (EAD). Methods: Daily EAD for six towns of the Emilia-Romagna region (Italy) were obtained from a database collecting real-time data. Time series analyses were performed, and city-specific estima… Show more

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Cited by 20 publications
(14 citation statements)
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References 14 publications
(15 reference statements)
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“…The increased levels of air pollution associated with the heat wave are a likely cofactor that the simple temperature dependent model does not take into account [25]. The impact of short-lived air pollution episodes on ambulance incidents has recently been shown to be significant across England [26], in London [27] and also in the Italian Region of Emilia-Romagna [28].…”
Section: Discussion: Ambulance Illness Codes Versus Air Temperaturementioning
confidence: 99%
See 1 more Smart Citation
“…The increased levels of air pollution associated with the heat wave are a likely cofactor that the simple temperature dependent model does not take into account [25]. The impact of short-lived air pollution episodes on ambulance incidents has recently been shown to be significant across England [26], in London [27] and also in the Italian Region of Emilia-Romagna [28].…”
Section: Discussion: Ambulance Illness Codes Versus Air Temperaturementioning
confidence: 99%
“…The increased levels of air pollution associated with the heat wave are a likely cofactor that the simple temperature dependent model does not take into account [25]. The impact of short-lived air pollution episodes on ambulance incidents has recently been shown to be significant across England [26], in London [27] and also in the Italian Region of Emilia-Romagna [28]. Using the relationship between temperature and ambulance call-outs, after controlling for air pollution and other confounding factors such as influenza, could inform future studies and help forecast ambulance call out numbers up to a week ahead (the time period for which robust meteorological forecasts are available).…”
Section: Discussion: Ambulance Illness Codes Versus Air Temperaturementioning
confidence: 99%
“…We also included a natural cubic spline for date with 5 df per year to adjust for seasonality and long-term trends [32,34] and a natural cubic spline with 4 df for relative humidity [3537] and particulate matter with an aerodynamic diameter of less than 2.5 µm (PM2.5) in the model [35,36,38,39] to control for potential confounders. We also adjusted for weekdays as the categorical variable [40] and weekends and holidays as the indicator variables [23,41,42]. Initially, we set the reference temperature at the optimum reference temperature observed in the risk curve for all ages to secure the comparability among the age groups.…”
Section: Methodsmentioning
confidence: 99%
“…Cases that were categorized as "Standby" or that did not have an MPDS category were excluded. All-causes, all non-trauma causes and the MPDS categories that have previously been associated with acute health effects from PM [15,20,25] were analyzed. The categories included: chest pain; heart problems (non-chest pain); stroke; cardiac or respiratory arrest or death; breathing problems; diabetic problems; and unconscious or fainting.…”
Section: Outcome Datamentioning
confidence: 99%
“…The studies of fire smoke exposure and EAD have shown an increase in cardiovascular events, including out-of-hospital cardiac arrest [6,[12][13][14] and chest pain [15]; respiratory problems [16,17]; diabetic symptoms [18]; syncope/fainting [18] and all non-traumatic causes combined [19,20].…”
Section: Introductionmentioning
confidence: 99%