Dr Ireneous Soyiri I.N.Soyiri@hull.ac.uk
Senior Lecturer in Epidemiology
Developing quantitative tools for asthma forecast in London using weather and air quality
Soyiri, Ireneous Ngmenlanaa
Authors
Contributors
Daniel D. Ridpath
Supervisor
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.
Citation
Soyiri, I. N. Developing quantitative tools for asthma forecast in London using weather and air quality. (Thesis). Monash University Malaysia. https://hull-repository.worktribe.com/output/1759965
| Thesis Type | Thesis |
|---|---|
| Acceptance Date | Nov 1, 2012 |
| Deposit Date | May 8, 2019 |
| Peer Reviewed | Peer Reviewed |
| DOI | https://doi.org/10.4225/03/58981301ac4c6 |
| Public URL | https://hull-repository.worktribe.com/output/1759965 |
| External URL | https://monash.figshare.com/articles/Developing_quantitative_tools_for_asthma_forecast_in_London_using_weather_and_air_quality/4621888 |
| Award Date | 2012 |