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Monash University Malaysia

Developing quantitative tools for asthma forecast in London using weather and air quality

Abstract

dc:description.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.

Degree

thesis:*
Level dc:type.qualificationlevel
PhD
Grantor dc:publisher.institution
Monash University Malaysia
Year dc:date.issued
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Soyiri, Ireneous Ngmenlanaa
Advisor dc:contributor.advisor
  • Daniel D. Reidpath

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:hull-repository.worktribe.com:1759965
Author Identifier
0000-0003-4697-5156
OAI identifier oai:identifier
oai:hull-repository.worktribe.com:1759965

Chain of custody

source
Harvested from
University of Hull
Base URL
hull-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Soyiri, Ireneous Ngmenlanaa. Developing quantitative tools for asthma forecast in London using weather and air quality. PhD thesis, Monash University Malaysia, 2026. https://doi.org/10.4225/03/58981301ac4c6