| Rebecca Tyson Person1 #679867 Dr. Rebecca C. Tyson is an Associate Professor in Mathematical Biology at the University of British Columbia Okanagan. |
RESEARCH SUMMARY - Mathematical biology and spatial ecology;
- mathematical models of ecological systems;
- the development and analysis of mathematical and computational models;
- cyclic predator-prey populations.
COURSES & TEACHING - Mathematical biology; partial differential equations; ordinary differential equations; numerical analysis.
DEGREES - PhD University of Washington
RESEARCH INTERESTS & PROJECTS - Mathematical Modelling in Spatial Ecology
- Modelling the Dispersal Behaviour of Wild and Sterile Codling Moths
- Modelling the Recolonization of Second-Growth Forest Stands by the North American red squirrel, Tamiasciurus hudsonicus
- Modelling the Predator-Prey Dynamics of Southern Snowshoe Hare Populations
- Modelling the Swimming Behaviour of the Nematode
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+Citations (2)
- CitationsAdd new citationList by: CiterankMapLink[2] Transient prophylaxis and multiple epidemic waves
Author: Rebecca C. Tyson, Noah D. Marshall, Bert O. Baumgaertner
Publication date: 10 January 2022
Publication info: AIMS Mathematics, 2022, Volume 7, Issue 4: 5616-5633.
Cited by: David Price 4:17 PM 15 November 2023 GMT
Citerank: (3) 701020CANMOD – PublicationsPublications by CANMOD Members144B5ACA0, 701146Mathematical modelling of human response behaviour during pandemicsMathematical modelling of human response behaviour, opinion dynamics, and social influence during pandemics. COVID-19 showed that understanding human response to intervention is essential in mitigating disease spread and forming policy. We are particularly interested in understanding how opinion influence affects vaccine and NPI hesitancy. This project aims to incorporate a broader understanding of intervention and control, which embodies the entire theme.859FDEF6, 701222OMNI – Publications144B5ACA0
URL:
DOI: https://doi.org/10.3934/math.2022311
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| Excerpt / Summary [AIMS Mathematics, 10 January 2022]
Public opinion and opinion dynamics can have a strong effect on the transmission rate of an infectious disease for which there is no vaccine. The coupling of disease and opinion dynamics however, creates a dynamical system that is complex and poorly understood. We present a simple model in which susceptible groups adopt or give up prophylactic behaviour in accordance with the influence related to pro- and con-prophylactic communication. This influence varies with disease prevalence. We observe how the speed of the opinion dynamics affects the total size and peak size of the epidemic. We find that more reactive populations will experience a lower peak epidemic size, but possibly a larger final size and more epidemic waves, and that an increase in polarization results in a larger epidemic. |