Abstract This study uses the World Health Organization's AirQ + model to assess the relationship between air pollution and mortality in Portugal from 2010 to 2021, focusing on the impact of the COVID-19 pandemic. By integrating AirQ + with Linear Mixed Models, we analyzed long-term air pollution data and its health effects. Results indicate a significant decrease in \(\:{NO}₂\) and \(\:{PM}2.5\) concentrations from 2017–2019 to 2020–2021 due to COVID-19 restrictions and reduced transportation emissions. Conversely, \(\:{O}₃\) exposure slightly increased. The model estimates over 5,000 annual deaths from \(\:{NO}₂\) and \(\:{PM}2.5\) exposure and over 139 annual deaths from \(\:{O}₃\)-related respiratory diseases for 2010–2021. Despite limitations like the need for better assessment of pollutant mixtures and climatic variables, the study shows a decrease in \(\:{NO}₂\)-related disease burden during the pandemic. These trends reflect anomalies in mortality and pollution data rather than policy improvements. The study underscores the utility of AirQ + in guiding public health strategies and tracking progress towards the 2030 Agenda, offering insights into reducing mortality and morbidity through decreased air pollutant exposure and highlighting the need for sustained, multi-dimensional pollution reduction efforts.
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Simões et al. (2024) studied this question.
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