 Evaluating the nonlinear association between PM10 and emergency department visitsAndrea Bucci, Francesco Sanmarchi, Luca Santi and Davide Golinelli Socio-Economic Planning Sciences, 2024, vol. 93, issue C Abstract: Air pollution is one of the most threatening risk factors for human health. The epidemiological literature has widely proved that exposure to high levels of PM10 is associated with an increase in cardiovascular and respiratory events. In this paper, we investigate the relationship between air pollution and emergency department visits for cardiovascular and respiratory diseases. Since the relationship between air pollution and emergency care access is complex and may be subject to regime switches, especially due to the COVID-19 pandemic, we propose to use a threshold autoregressive model where the regime-switching mechanism is driven by temporal evolution. This allows us to identify one or more structural breaks and estimate the regime-changing relationship between emergency care accesses and PM10. Moreover, we propose a novel way to account for long-term dependence in the dependent variable. Using daily data from the metropolitan area of Bologna (Italy), we show that the effect of the air pollutant changes over time, mostly due to the outbreak of the COVID-19 pandemic. Keywords: Air pollution; Emergency department visits; Threshold autoregressive model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:93:y:2024:i:c:s0038012124000867 DOI: 10.1016/j.seps.2024.101887 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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