Louise Dyson

The impacts of exogenous noise on stochastic disease dynamics

Daniel Ronan Higgins, Matt J. Keeling, Louise Dyson

Abstract Much of the literature and intuition associated with mathematical epidemiology is driven by deterministic models, which are a reasonable assumption when the population size is large. Stochastic models, especially individual based models, are however considered vital when dealing with small population …

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How understanding the diversity of perspectives and systems in governments can increase the impact of scientific research

Emma McBryde, Bimandra A. Djaafara, James M. McCaw, Sebastian Funk et autres

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How understanding the diversity of perspectives and systems in governments can increase the impact of scientific research

Liza Hadley, Slimane Ben Miled, Hannah E. Clapham, Bimandra A. Djaafara et autres

The COVID-19 crisis required scientists worldwide to contribute to complex, hectic, and unfamiliar governmental decision-processes. In this Perspective, we reflect on this intense interaction between science and health policy for pandemic response, drawing from the experience of infectious disease modellers across the …

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The covariance matrix of metapopulation disease models and applications to early warning signals

Joshua Looker, Kat S. Rock, Louise Dyson

ABSTRACT Infectious disease time series often show signs of epidemic transitions, such as the peaks and troughs of the time series. In these time series, key system parameters can lead to catastrophic changes in the dynamical system behaviour (often called critical transitions). …

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Infectious disease outbreak controllability: biological, social and public health factors

Robin N. Thompson, Shweta Bansal, Hannah Clapham, Louise Dyson et autres

Early in an infectious disease outbreak, key policy questions include whether and how the outbreak can be brought under control. In the epidemiological modelling literature, analyses of outbreak controllability have often focused on metrics such as reproduction numbers (which quantify the number …

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Critical-like growth in non-critical transitions: linearised dynamics and epidemic applications

Joshua Looker, Kat S. Rock, Louise Dyson

In the wake of the SARS-CoV-2 pandemic, there has been heightened interest from applied mathematicians in infectious disease modelling. Modelling efforts often focus on predicting whether diseases are likely to be eliminated or, instead, (re-)emerge, especially as a result of control measures. …

Critical-like growth in non-critical transitions: linearised dynamics and epidemic applications

Joshua Looker, Kat S. Rock, Louise Dyson

In the wake of the SARS-CoV-2 pandemic, there has been heightened interest from applied mathematicians in infectious disease modelling. Modelling efforts often focus on predicting whether diseases are likely to be eliminated or, instead, (re-)emerge, especially as a result of control measures. …

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Author response for "Infectious disease outbreak controllability: Biological, social and public health factors"

Robin N. Thompson, Shweta Bansal, Hannah Clapham, Louise Dyson et autres

Infectious disease outbreak controllability: biological, social and public health factors

R. N. Thompson, S. Bansal, H. Clapham, Louise Dyson et autres

Early in an infectious disease outbreak, key policy questions include whether and how the outbreak can be brought under control. In the epidemiological modelling literature, analyses of outbreak controllability have often focused on metrics such as reproduction numbers (which quantify the number …

Author response for "Infectious disease outbreak controllability: Biological, social and public health factors"

Robin N. Thompson, Shweta Bansal, Hannah Clapham, Louise Dyson et autres

Identifying COVID-19 peaks using early warning signals

Joshua Looker, Kat S. Rock, Louise Dyson

The SARS-CoV-2 (COVID-19) pandemic has had catastrophic effects on public health and economies. Around the world, many countries employed modelling efforts to help guide pharmaceutical and non-pharmaceutical measures designed to reduce the spread of the virus. Modelling efforts for future pandemics could …

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Louise Dyson’s contribution to the Discussion of ‘Some statistical aspects of the Covid-19 response’ by Wood et al.

Louise Dyson

Louise Dyson; Louise Dyson’s contribution to the Discussion of 'Some statistical aspects of the Covid-19 response' by Wood et al, Journal of the Royal Stat

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