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Benjamin M. Bolker
Researcher at McMaster University
Publications - 159
Citations - 90175
Benjamin M. Bolker is an academic researcher from McMaster University. The author has contributed to research in topics: Population & Generalized linear mixed model. The author has an hindex of 57, co-authored 150 publications receiving 60042 citations. Previous affiliations of Benjamin M. Bolker include Princeton University & University of Cambridge.
Papers
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Journal ArticleDOI
Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada.
Irena Papst,Michael Li,Michael Li,David Champredon,Benjamin M. Bolker,Jonathan Dushoff,Jonathan Dushoff,David J. D. Earn,David J. D. Earn +8 more
TL;DR: The results suggest that vaccine programs should aim to prevent infection not only in old seniors, but also in young seniors and middle-aged individuals, to protect them from serious illness and to limit stress on the healthcare system.
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Incorporating movement patterns to discern habitat selection: black bears as a case study
Dana L. Karelus,J. Walter McCown,Brian K. Scheick,Madelon van de Kerk,Benjamin M. Bolker,Madan K. Oli +5 more
TL;DR: The methodological framework developed in this study effectively incorporates state-specific movement patterns while making inferences regarding habitat selection in black bear movement patterns will contribute to an improved understanding of animal ecology as well as informed management decisions.
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Predicting local population distributions around a central shelter based on a predation risk-growth trade-off
TL;DR: A model of habitat use rules is constructed to predict the distribution of a local population (prey sharing a common shelter and foraging across surrounding habitats) and describes realized habitat quality as a ratio of density- and location-dependent mortality to density-dependent growth.
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A Note on Observation Processes in Epidemic Models
Sang Woo Park,Benjamin M. Bolker +1 more
TL;DR: This note uses a simple deterministic Susceptible-Infected-Removed (SIR) model to compare two common assumptions about disease incidence reports and shows that incorrect assumptions about the underlying observation processes can bias estimates of the basic reproduction number.
Journal Article
A general mathematical framework for the analysis of spatiotemporal point processes
Otso Ovaskainen,Dmitri Finkelshtein,Oleksandr Kutoviy,Stephen J. Cornell,Benjamin M. Bolker,Yuri Kondratiev,Oleksandr Kutovyi +6 more
TL;DR: In this paper, Markov evolutions in the space of locally finite configurations have been used to develop a mathematically rigorous and practical framework that is widely applicable for theoretical ecology, and a new mathematical development has been discussed by discussing how spatial moment equations can be perturbatively expanded around the mean field model.