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Climate change is a major public health concern. In addition to its direct impacts on temperature patterns and extreme weather events, climate change affects public health indirectly through its influence on air pollution (Borge et al., 2019). According to the World Health Organization (WHO), air pollution can lead to more than 4.2 million deaths annually, whereas both chronic and acute exposures to particulate matter (PM), ozone (O3) and nitrogen dioxide (NO2) have all been associated with all-cause and cardiovascular mortality and morbidity and other adverse health effects.
Severe episodic air pollution events are caused by local, regional, or transboundary (anthropogenic or natural) emissions of air pollutants. Still, specific meteorological conditions often favour the development of such events and influence their severity (Morawska et al., 2021). For example, PM2.5 episodes during periods of high temperature in summer months in the UK can lead to an additional 45 deaths per day (Fenech et al., 2019), which are projected to increase in the coming years (Park et al., 2020). Within this context, the nexus between extreme air pollution events and public health outcomes emerges as a critical area requiring holistic and comprehensive investigation.
This PhD aims to explore the multifaceted dynamics underlying the relationship between extreme air pollution episodes and their impacts on public health. It will focus on developing mechanisms, assessing public health impacts, addressing social injustices, informing mitigation strategies and providing a cost-benefit analysis. The research will adopt an interdisciplinary approach, drawing upon principles from atmospheric science, epidemiology, public health policy and health economics and will aim to explore key research topics:
Characterising Extreme Air Pollution Events: Utilising air pollution and weather monitoring data, the project will identify and characterise extreme air pollution events, including episodes of high particulate matter (PM), nitrogen dioxide (NO2) and ozone (O3) levels, and other harmful pollutants.
Assessing Public Health Impacts: Employing epidemiological models, the study will quantify the short-term and long-term health impacts associated with extreme air pollution events. This assessment will encompass all-cause and cause-specific mortality rates, as well as respiratory and cardiovascular diseases healthcare activity.
Environmental Justice and Vulnerable Populations: The project will identify vulnerable populations disproportionately affected by extreme air pollution by analysing demographic data and socio-economic factors. This includes communities located near industrial sites, low-income neighbourhoods, and individuals with pre-existing health conditions.
Health Economic Impacts: The project will estimate the cost of illness associated with extreme air pollution events. This will translate into a reduction in health and social care costs, Years Life Lost (YLL) and Quality Adjusted Life Years (QALYs) or Disability Adjusted Life Years (DALYs). It may also be extended to look at these costs by source of pollution, and weighing the economic value of industries against the health-related costs.
Applicant Information
The successful applicant should have good written and verbal communication skills in English and an interest in public health science, health data science and environmental research and hold a minimum undergraduate qualification 2:1, or equivalent, in life sciences, atmospheric or computer science, statistics or health-related subjects. Candidates interested in environmental exposure assessment or health inequalities are encouraged to apply.
Prefered (but not essential criteria):
· Master’s degree in Data Science, Public Health or another quantitative discipline
· Good knowledge of Python/R or similar
· Experience with big datasets
For an informal discussion about this opportunity, please email: Dr Vasilis Matthaios ([Email Address Removed]), please attach your CV and a cover letter.
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