Infectious disease pandemic planning and response: Incorporating decision analysis
Infectious disease pandemic planning and response: Incorporating decision analysis | PLOS
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Ecological interventions to prevent and manage zoonotic pathogen spillover
Spillover of a pathogen from a wildlife reservoir into a human or livestock host requires the
pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more …
pathogen to overcome a hierarchical series of barriers. Interventions aimed at one or more …
Improved inference of time-varying reproduction numbers during infectious disease outbreaks
Accurate estimation of the parameters characterising infectious disease transmission is vital
for optimising control interventions during epidemics. A valuable metric for assessing the …
for optimising control interventions during epidemics. A valuable metric for assessing the …
Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies
Efforts to suppress transmission of SARS-CoV-2 in the UK have seen non-pharmaceutical
interventions being invoked. The most severe measures to date include all restaurants, pubs …
interventions being invoked. The most severe measures to date include all restaurants, pubs …
The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America
Highly pathogenic avian influenza virus (HPAIV) H5N1 was introduced in North America in
late 2021 through trans-Atlantic pathways via migratory birds. These introductions have …
late 2021 through trans-Atlantic pathways via migratory birds. These introductions have …
[BOOK][B] Epidemics: models and data using R
ON Bjørnstad - 2022 - books.google.com
This book is designed to be a practical study in infectious disease dynamics. It offers an easy-
to-follow implementation and analysis of mathematical epidemiology. It focuses on recent …
to-follow implementation and analysis of mathematical epidemiology. It focuses on recent …
[HTML][HTML] Challenges for modelling interventions for future pandemics
Mathematical modelling and statistical inference provide a framework to evaluate different
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has …
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has …
Multiple models for outbreak decision support in the face of uncertainty
Policymakers must make management decisions despite incomplete knowledge and
conflicting model projections. Little guidance exists for the rapid, representative, and …
conflicting model projections. Little guidance exists for the rapid, representative, and …
Machine learning for data-centric epidemic forecasting
The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision
makers in multiple domains, ranging from public health to the economy. Forecasting …
makers in multiple domains, ranging from public health to the economy. Forecasting …
[HTML][HTML] Approximate Bayesian Computation for infectious disease modelling
A Minter, R Retkute - Epidemics, 2019 - Elsevier
Abstract Approximate Bayesian Computation (ABC) techniques are a suite of model fitting
methods which can be implemented without a using likelihood function. In order to use ABC …
methods which can be implemented without a using likelihood function. In order to use ABC …