Heather Riley

ORCID: 0000-0001-6133-9292
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About
Contact & Profiles
Research Areas
  • demographic modeling and climate adaptation
  • COVID-19 epidemiological studies
  • Geriatric Care and Nursing Homes
  • Health disparities and outcomes
  • Climate change impacts on agriculture
  • Global Health Care Issues

University of Manchester
2022

The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted need for mathematical models which can estimate impact these measures while accounting highly heterogeneous risk profile COVID-19. Models either age structure or household necessary to explicitly model NPIs are commonly used infectious disease modelling, but incorporating both levels present substantial computational challenges due their high...

10.1371/journal.pcbi.1010390 article EN cc-by PLoS Computational Biology 2022-09-06

The COVID-19 pandemic has had high mortality rates in the elderly and frail worldwide, particularly care homes. This is driven by difficulty of isolating homes from wider community, large population sizes within facilities (relative to typical households), age/frailty residents. To quantify risk posed disease, case fatality (CFR) an important tool. quantifies proportion cases that result death. Throughout pandemic, CFR amongst home residents England been monitored closely. estimate CFR, we...

10.1371/journal.pcbi.1010554 article EN cc-by PLoS Computational Biology 2022-10-24
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