[HTML][HTML] An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation

K Nixon, S Jindal, F Parker, NG Reich… - The Lancet Digital …, 2022 - thelancet.com
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

[HTML][HTML] Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation

K Nixon, S Jindal, F Parker, M Marshall… - The Lancet Digital …, 2022 - thelancet.com
The COVID-19 pandemic brought mathematical modelling into the spotlight, as scientists
rushed to use data to understand transmission patterns and disease severity, and to …

The influence of individual emotions on the coupled model of unconfirmed information propagation and epidemic spreading in multilayer networks

J Gu - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
Epidemic outbreaks are often accompanied by the unconfirmed information propagation
Especially in the early stages of an epidemic outbreak, because of the lack of adequate …

[HTML][HTML] A consensus of evidence: The role of SPI-MO in the UK COVID-19 response

GF Medley - Advances in Biological Regulation, 2022 - ncbi.nlm.nih.gov
The COVID-19 epidemic posed a set of challenges for the science-policy interface that were,
at least initially, novel for most participants. In the UK, the scientific advisory group for …

[HTML][HTML] The African swine fever modelling challenge: Model comparison and lessons learnt

P Ezanno, S Picault, S Bareille, G Beaunée… - Epidemics, 2022 - Elsevier
Robust epidemiological knowledge and predictive modelling tools are needed to address
challenging objectives, such as: understanding epidemic drivers; forecasting epidemics; and …

[HTML][HTML] Informing policy via dynamic models: Cholera in Haiti

J Wheeler, AE Rosengart, Z Jiang, K Tan… - PLOS Computational …, 2024 - journals.plos.org
Public health decisions must be made about when and how to implement interventions to
control an infectious disease epidemic. These decisions should be informed by data on the …

[HTML][HTML] Communicating uncertainty in epidemic models

R McCabe, MD Kont, N Schmit, C Whittaker, A Løchen… - Epidemics, 2021 - Elsevier
While mathematical models of disease transmission are widely used to inform public health
decision-makers globally, the uncertainty inherent in results are often poorly communicated …

Public perceptions and interactions with UK COVID-19 Test, Trace and Isolate policies, and implications for pandemic infectious disease modelling

GC Marshall, R Skeva, C Jay, MEP Silva, M Fyles… - MedRxiv, 2022 - medrxiv.org
The efforts to contain SARS-CoV-2 and reduce the impact of COVID-19 have been
supported by Test, Trace and Isolate (TTI) systems in many settings, including the United …

[HTML][HTML] Improving modelling for epidemic responses: reflections from members of the UK infectious disease modelling community on their experiences during the …

K Sherratt, AC Carnegie, A Kucharski… - Wellcome Open …, 2024 - ncbi.nlm.nih.gov
Background The COVID-19 pandemic both relied and placed significant burdens on the
experts involved from research and public health sectors. The sustained high pressure of a …

Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom

R McCabe, CA Donnelly - Journal of the Royal Society …, 2023 - royalsocietypublishing.org
Mathematical modelling is used to inform public health policy, particularly so during the
COVID-19 pandemic. As the public are key stakeholders, understanding the public …