Effects of environmental variability on superspreading transmission events in stochastic epidemic models

Nika Shakiba; Christina J Edholm; Blessing O Emerenini; Anarina L Murillo; Angela Peace; Omar Saucedo; Xueying Wang; Linda J.S. Allen

Effects of environmental variability on superspreading transmission events in stochastic epidemic models

Nika Shakiba, Christina J Edholm, Blessing O Emerenini, Anarina L Murillo, Angela Peace, Omar Saucedo, Xueying Wang, Linda J.S. Allen

Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	560-583
Journal	Infectious Disease Modelling
State	Published - Mar 18 2021

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@article{0d46ec02dfad4b49a4f71aeb9cb0d147,

title = "Effects of environmental variability on superspreading transmission events in stochastic epidemic models",

author = "Nika Shakiba and Edholm, {Christina J} and Emerenini, {Blessing O} and Murillo, {Anarina L} and Angela Peace and Omar Saucedo and Xueying Wang and Allen, {Linda J.S.}",

year = "2021",

month = mar,

day = "18",

language = "English",

pages = "560--583",

journal = "Infectious Disease Modelling",

publisher = "Elsevier",

}

Effects of environmental variability on superspreading transmission events in stochastic epidemic models. / Shakiba, Nika; Edholm, Christina J; Emerenini, Blessing O; Murillo, Anarina L; Peace, Angela; Saucedo, Omar; Wang, Xueying; Allen, Linda J.S.

In: Infectious Disease Modelling, 18.03.2021, p. 560-583.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Effects of environmental variability on superspreading transmission events in stochastic epidemic models

AU - Shakiba, Nika

AU - Edholm, Christina J

AU - Emerenini, Blessing O

AU - Murillo, Anarina L

AU - Peace, Angela

AU - Saucedo, Omar

AU - Wang, Xueying

AU - Allen, Linda J.S.

PY - 2021/3/18

Y1 - 2021/3/18

M3 - Article

SP - 560

EP - 583

JO - Infectious Disease Modelling

JF - Infectious Disease Modelling

ER -

Effects of environmental variability on superspreading transmission events in stochastic epidemic models

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