Downloads provided by UsageCountsOperationalising Modern Mathematical Epidemiology
Cent Manchester Uni Hospital NHS FdTrust , Manchester University NHS Fdn Trust , PHE , University of Salford , Christie Hospital NHS Foundation Trust , Pennine Acute Hospitals NHS Trust , Spectra Analytics , University of Manchester , Christie Hospital NHS Trust , PUBLIC HEALTH ENGLAND , North Manchester Healthcare NHS Trust , The University of Manchester , Public Health England , Spectra Analytics , DHSC
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Cent Manchester Uni Hospital NHS FdTrust , Manchester University NHS Fdn Trust , PHE , University of Salford , Christie Hospital NHS Foundation Trust , Pennine Acute Hospitals NHS Trust , Spectra Analytics , University of Manchester , Christie Hospital NHS Trust , PUBLIC HEALTH ENGLAND , North Manchester Healthcare NHS Trust , The University of Manchester , Public Health England , Spectra Analytics , DHSC
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?
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