Devin Kirk
Devin Kirk
Postdoctoral Scholar at Stanford University and University of British Columbia
Verified email at
Cited by
Cited by
Empirical evidence that metabolic theory describes the temperature dependency of within-host parasite dynamics
D Kirk, N Jones, S Peacock, J Phillips, PK Molnár, M Krkošek, P Luijckx
PLoS biology 16 (2), e2004608, 2018
Cannibalism by damselflies increases with rising temperature
D Start, D Kirk, D Shea, B Gilbert
Biology Letters 13 (5), 20170175, 2017
Web reduction by courting male black widows renders pheromone-emitting females' webs less attractive to rival males
C Scott, D Kirk, S McCann, G Gries
Animal Behaviour 107, 71-78, 2015
Predicting the thermal and allometric dependencies of disease transmission via the metabolic theory of ecology
D Kirk, P Luijckx, A Stanic, M Krkošek
The American Naturalist 193 (5), 661-676, 2019
The impact of long-term non-pharmaceutical interventions on COVID-19 epidemic dynamics and control
M Childs, MP Kain, D Kirk, M Harris, L Couper, N Nova, I Delwel, J Ritchie, ...
medRxiv, 2020
Host traits and competitive ability jointly structure disease dynamics and community assembly
D Kirk, D Shea, D Start
Journal of Animal Ecology 88 (9), 1379-1391, 2019
Predators can influence the host‐parasite dynamics of their prey via nonconsumptive effects
N Zukowski, D Kirk, K Wadhawan, D Shea, D Start, M Krkošek
Ecology and Evolution 10 (13), 6714-6722, 2020
Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model
D Kirk, P Luijckx, N Jones, L Krichel, C Pencer, P Molnar, M Krkosek
Proceedings of the Royal Society B 287, 20201526, 2020
How vector-borne disease shaped the course of human history
T Athni, M Shocket, I Caldwell, J Caldwell, J Childress, M Childs, ...
Authorea Preprints, 2020
Predicting the thermal dependencies of infectious disease
D Kirk
University of Toronto, 2019
Four QTL underlie resistance to a microsporidian parasite that may drive genome evolution in its Daphnia host
D Keller, D Kirk, P Luijckx
bioRxiv, 2019
Population isolation predicts the severity of historical human epidemics
D Start, D Kirk
Global Ecology and Biogeography 27 (6), 726-733, 2018
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