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Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
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Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
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Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy

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Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy
Dissertation

Modelling Extended Summer Mortality in Lisbon - Portugal: Contribution to a Local Public Health Promotion Strategy

2021
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Overview
The most immediate and direct impact of global warming on human health is recognised by the consistent increase in the average global temperature and increase frequency, intensity, and heatwaves duration. This example of extreme heat events is already considered one of the most important climatic hazards and constitute a leading cause of mortality worldwide, particularly in southern Europe with pronounced impacts on cities. The respective health and economic burdens are of growing concern and have attracted various authorities and institutions to find new public health measures to protect citizens.Evidence supports that heat hazard related health outcomes are associated with the populations' exposure, vulnerability, and adaptive capacity. The literature identifies individual risk factors such as age (individuals over 65) and people with pre-existing cardiovascular and/or respiratory diseases. In addition to health and demographic factors, the community's vulnerability is also associated with low socioeconomic conditions, lack of urban vegetation, low education attainment, building characteristics, among others. Less studied are the population adaptation and adaptive capacity.Portugal has a well-documented heat-related morbidity and mortality history. It has a set of well-established models for heat-related mortality either for the city of Lisbon and for Portugal mainland (joining models for four ad-hoc constructed geographical regions) – known as ÍCARUS' models. Based on these models Portugal has a well-established Heat Health Warning System (HHWS) since 1999 – the ICARUS Surveillance System, recognised in scientific literature as the first of such systems in Europe.The studies present in this thesis aimed: 1) to analyse the eventual need to update the existing ICARUS′ models and surveillance system, 2) and to investigate the potential advantage of studying mortality at the neighbourhood scale of Lisbon's municipality, the respective spatial patterns of heat-related mortality and their potential explanatory factors. The performed work building from the evolution in Geographic Information Systems (GIS) and the currently associated sets of analytical and statistical methods went beyond conventional geographical scales analysis to align with the real people's needs and improve health outcomes' spatial patterns knowledge and accuracy.This dissertation's work showed that the national models for heat-related mortality, particularly the Lisbon model, and inherently the existing Surveillance System, do not need updating. The heat-related mortality metric for Lisbon models GATO IV (Generalized Accumulated Thermal Overload) has a good predictive power to prevent health heat-related risks performing better for Lisbon than the international metric EHF (Excess Heat Factor), more broadly known, cited, and referenced in the scientific community. It was also showed how to geocode deaths in Portugal using the addresses present on e-death certificate and, subsequently, its mapping elderly's heat-related cardiorespiratory mortality at a neighbourhood scale for Lisbon. It was possible to understand the potential spatially-varying factors, from medical facilities to socioeconomic, urbanistic and environmental factors also associated with each neighbourhood.To our knowledge, this is the first spatial modelling of heat-related mortality at this scale, and with such a wide range of variables.