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          <dc:type>Thesis</dc:type>
          <dc:title>Developing quantitative tools for asthma forecast in London using weather and air quality</dc:title>
          <dcterms:abstract>The thesis examines approaches to the forecasting of respiratory events, generally hospital admissions for asthma, but also mortality. The focus of the thesis is forecasting accuracy rather than model specification per se. The thesis is a compilation of eight papers (seven published, one “under review”), broken in to four sections, with a brief narrative drawing the themes together.</dcterms:abstract>
          <dc:creator id="https://orcid.org/0000-0003-4697-5156">Soyiri, Ireneous Ngmenlanaa</dc:creator>
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          <uketdterms:qualificationlevel>PhD</uketdterms:qualificationlevel>
          <dcterms:dateAccepted>2026-09-21</dcterms:dateAccepted>
          <uketdterms:advisor>Daniel D. Reidpath</uketdterms:advisor>
          <uketdterms:institution>Monash University Malaysia</uketdterms:institution>
          <dc:identifier>oai:hull-repository.worktribe.com:1759965</dc:identifier>
          <dc:identifier>https://doi.org/10.4225/03/58981301ac4c6</dc:identifier>
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