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Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control

PLoS biology, 2020-11, Vol.18 (11), p.e3000897

2020

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Optimal timing of one-shot interventions for epidemic control

PLoS computational biology, 2021-03, Vol.17 (3), p.e1008763-e1008763

2021

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Mathematical models of SIR disease spread with combined non-sexual and sexual transmission routes

Infectious disease modelling, 2017-02, Vol.2 (1), p.35-55

Miller, Joel C.

2017

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Spread of infectious disease through clustered populations

Journal of the Royal Society interface, 2009-12, Vol.6 (41), p.1121

Miller, Joel C

2009

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Predicting the epidemic sizes of influenza A/H1N1, A/H3N2, and B: a statistical method

PLoS medicine, 2011-07, Vol.8 (7), p.e1001051-e1001051

2011

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Effects of heterogeneous and clustered contact patterns on infectious disease dynamics

PLoS computational biology, 2011-06, Vol.7 (6), p.e1002042-e1002042

2011

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Dissolution-driven convection in a Hele–Shaw cell

Physics of fluids (1994), 2013-02, Vol.25 (2)

2013

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Seasonality in risk of pandemic influenza emergence

PLoS computational biology, 2017-10, Vol.13 (10), p.e1005749-e1005749

2017

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Incorporating disease and population structure into models of SIR disease in contact networks

PloS one, 2013-08, Vol.8 (8), p.e69162-e69162

2013

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Saturation effects and the concurrency hypothesis: Insights from an analytic model

PloS one, 2017-11, Vol.12 (11), p.e0187938-e0187938

2017

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Mean-field models for non-Markovian epidemics on networks

Journal of mathematical biology, 2018-02, Vol.76 (3), p.755-778

2018

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Ethical frameworks should be applied to computational modelling of infectious disease interventions

PLoS computational biology, 2024-03, Vol.20 (3), p.e1011933-e1011933

2024

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A primer on the use of probability generating functions in infectious disease modeling

Infectious disease modelling, 2018-01, Vol.3, p.192-248

Miller, Joel C.

2018

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Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns

PLoS computational biology, 2021-02, Vol.17 (2), p.e1008713-e1008713

2021

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A Note on the Derivation of Epidemic Final Sizes

Bulletin of mathematical biology, 2012-09, Vol.74 (9), p.2125-2141

Miller, Joel C.

2012

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Evaluating the contributions of strategies to prevent SARS-CoV-2 transmission in the healthcare setting: a modelling study

BMJ open, 2021-03, Vol.11 (3), p.e044644-e044644

2021

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note on a paper by Erik Volz: SIR dynamics in random networks

Journal of mathematical biology, 2011-03, Vol.62 (3), p.349-358

Miller, Joel C

2011

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Percolation and epidemics in random clustered networks

Physical review. E, Statistical, nonlinear, and soft matter physics, 2009-08, Vol.80 (2 Pt 1), p.020901-020901, Article 020901

Miller, Joel C

2009

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Student behavior during a school closure caused by pandemic influenza A/H1N1

PloS one, 2010-05, Vol.5 (5), p.e10425-e10425

2010

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Cardiac-Myocyte-Specific Excision of the Vinculin Gene Disrupts Cellular Junctions, Causing Sudden Death or Dilated Cardiomyopathy

Molecular and Cellular Biology, 2007-11, Vol.27 (21), p.7522-7537

2007

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Edge-based compartmental modelling for infectious disease spread

Journal of the Royal Society interface, 2012-05, Vol.9 (70), p.890

2012

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A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy

Mathematical biosciences, 2020-08, Vol.326, p.108391-108391, Article 108391

2020

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Epidemic Percolation Networks, Epidemic Outcomes, and Interventions

Interdisciplinary Perspectives on Infectious Diseases, 2011, Vol.2011, p.543520-13

2011

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Mathematics of Epidemics on Networks: From Exact to Approximate Models

1, 2017

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A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling

Journal of mathematics in industry, 2019-02, Vol.9 (1), p.1-15, Article 1

2019

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Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control

Optimal timing of one-shot interventions for epidemic control

Mathematical models of SIR disease spread with combined non-sexual and sexual transmission routes

Spread of infectious disease through clustered populations

Predicting the epidemic sizes of influenza A/H1N1, A/H3N2, and B: a statistical method

Effects of heterogeneous and clustered contact patterns on infectious disease dynamics

Dissolution-driven convection in a Hele–Shaw cell

Seasonality in risk of pandemic influenza emergence

Incorporating disease and population structure into models of SIR disease in contact networks

Saturation effects and the concurrency hypothesis: Insights from an analytic model

Mean-field models for non-Markovian epidemics on networks

Ethical frameworks should be applied to computational modelling of infectious disease interventions

A primer on the use of probability generating functions in infectious disease modeling

Protective impacts of household-based tuberculosis contact tracing are robust across endemic incidence levels and community contact patterns

A Note on the Derivation of Epidemic Final Sizes

Evaluating the contributions of strategies to prevent SARS-CoV-2 transmission in the healthcare setting: a modelling study

note on a paper by Erik Volz: SIR dynamics in random networks

Percolation and epidemics in random clustered networks

Student behavior during a school closure caused by pandemic influenza A/H1N1

Cardiac-Myocyte-Specific Excision of the Vinculin Gene Disrupts Cellular Junctions, Causing Sudden Death or Dilated Cardiomyopathy

Edge-based compartmental modelling for infectious disease spread

A data-driven network model for the emerging COVID-19 epidemics in Wuhan, Toronto and Italy

Epidemic Percolation Networks, Epidemic Outcomes, and Interventions

Mathematics of Epidemics on Networks: From Exact to Approximate Models

A monotonic relationship between the variability of the infectious period and final size in pairwise epidemic modelling

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