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Details of Grant 

EPSRC Reference: EP/N033701/1
Title: Operationalising Modern Mathematical Epidemiology
Principal Investigator: House, Professor TA
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Christie NHS Foundation Trust Manchester University NHS Fdn Trust North Manchester Healthcare NHS Trust
Public Health England Spectra Analytics
Department: Mathematics
Organisation: University of Manchester, The
Scheme: EPSRC Fellowship
Starts: 01 November 2016 Ends: 28 February 2019 Value (£): 321,132
EPSRC Research Topic Classifications:
Mathematical Analysis Non-linear Systems Mathematics
EPSRC Industrial Sector Classifications:
Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
16 May 2016 HT Impact Fellowships Interviews Announced
Summary on Grant Application Form
Data on healthcare is increasingly collected and processed electronically, creating both opportunities and challenges.

Fortunately, recent years have seen major developments in the field of mathematical epidemiology, which systematically models the patterns of disease and health in the population to disentangle the complexities of the available data.

This project seeks to drive some key insights from mathematical epidemiology into the healthcare system, particularly relating to: the analysis of infectious disease data collected at the household level; how different viruses linked to colds and 'flu hinder and help each others' spread through the population; understanding how people influence each others' health-related behaviours; and cancer radiotherapy.

Other aspects of the project are technical, but seek to answer the questions: What should be done with data that are not experimental, but appear in an uncontrolled way such as during disease outbreaks? And what should we do with data that are constantly being collected through routine surveillance?

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
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Project URL:  
Further Information:  
Organisation Website: http://www.man.ac.uk