Ryan, Tommy (2024) Comparative Preparedness Analysis: Assessing Ireland’s Response to Pandemics in Global Context. Masters thesis, Dublin, National College of Ireland.
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Abstract
This study uses predictive modeling and machine learning to investigate how different international COVID-19 strategies may affect the outcome of the Irish outbreak. By comparing actual Irish COVID-19 figures with simulated scenarios based on methods from countries such as Australia, Sweden, Israel and China, the study measures the potential impact of each of these countries strategies in relation to Ireland. Using Regression models such as Linear Regression, Decision Trees and Random Forests we will show how these techniques could have changed the cases and mortality rates in Ireland. The findings provide insights that can be used by policymakers to shape Irish society health responses to increase preparedness for future pandemics. This study highlights the importance of studying global trends to improve crisis management and protect public health.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Milosavljevic, Vladimir UNSPECIFIED |
Uncontrolled Keywords: | Preparedness; Predictive Analysis; Regression; Crisis Management; Machine Learning |
Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > Diseases > Outbreaks of disease > Epidemics > COVID-19 Pandemic, 2020- D History General and Old World > DA Great Britain > Ireland Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning |
Divisions: | School of Computing > Master of Science in Data Analytics |
Depositing User: | Ciara O'Brien |
Date Deposited: | 25 Aug 2025 10:47 |
Last Modified: | 25 Aug 2025 10:47 |
URI: | https://norma.ncirl.ie/id/eprint/8620 |
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