Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks

DK Pasquale, W Welsh, A Olson… - Journal of Public …, 2023 - journals.lww.com
Objective: Scalable strategies to reduce the time burden and increase contact tracing
efficiency are crucial during early waves and peaks of infectious transmission. Design: We …

[HTML][HTML] MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread

H De-Leon, D Aran - Journal of Biomedical Informatics, 2023 - Elsevier
In the three years since SARS-CoV-2 was first detected in China, hundreds of millions of
people have been infected and millions have died. Along with the immediate need for …

On the mark: modeling and forecasting for public health impact

MJ Panaggio, SN Wilson, JD Ratcliff, LC Mullany… - Health …, 2023 - liebertpub.com
The COVID-19 pandemic wrought significant health, political, and economic disruption
globally. From the onset of the pandemic, governments, multinational agencies, and the …

Evaluation and communication of pandemic scenarios

P Gerlee, H Thoreén, AS Joöud, T Lundh… - The Lancet Digital …, 2024 - thelancet.com
In recent years, publications in The Lancet Digital Health have presented research involving
pandemic scenarios. 1 However, during the early stages of the COVID-19 pandemic, the …

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study

H Du, J Zhao, Y Zhao, S Xu, X Lin, Y Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge
due to the complexity of contributing factors, some of which can be characterized through …

[HTML][HTML] A case for ongoing structural support to maximise infectious disease modelling efficiency for future public health emergencies: A modelling perspective

EA Le Rutte, AJ Shattock, C Zhao, S Jagadesh… - Epidemics, 2024 - Elsevier
This short communication reflects upon the challenges and recommendations of multiple
COVID-19 modelling and data analytic groups that provided quantitative evidence to support …

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study

HF Yang, H Du, J Zhao, Y Zhao, S Xu, X Lin, Y Chen… - 2024 - researchsquare.com
Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge
due to the complexity of contributing factors, some of which can be characterized through …

Prediction of Daily New COVID-19 Cases-Difficulties and Possible Solutions

X Liu - medRxiv, 2023 - medrxiv.org
Epidemiological compartmental models, such as SEIR (Susceptible, Exposed, Infectious,
and Recovered) models, have been generally used in analyzing epidemiological data and …

When are predictions useful? a new method for evaluating epidemic forecasts

M Marshall, F Parker, LM Gardner - medRxiv, 2023 - medrxiv.org
Abstract We introduce the Weighted Contextual Interval Score (WCIS), a new method for
evaluating the performance of short-term interval-form forecasts. The WCIS provides a …

Modelling the health impacts of urban transport in Africa

L Tatah - 2024 - repository.cam.ac.uk
Africa is rapidly urbanising and motorising, complicating its existing urban transport impacts
such as high road traffic injuries, air pollution, and decreasing physical activity derived from …