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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. (2017). Developing quantitative tools for asthma forecast in London using weather and air quality. (Thesis). Monash University Malaysia. Retrieved from 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
Publisher URL https://monash.figshare.com/articles/Developing_quantitative_tools_for_asthma_forecast_in_London_using_weather_and_air_quality/4621888
Award Date 2012