Data-driven modeling of COVID-19—Lessons learned

E Kuhl - Extreme Mechanics Letters, 2020 - Elsevier
Understanding the outbreak dynamics of COVID-19 through the lens of mathematical
models is an elusive but significant goal. Within only half a year, the COVID-19 pandemic …

Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems

K Linka, A Schäfer, X Meng, Z Zou… - Computer Methods in …, 2022 - Elsevier
Understanding real-world dynamical phenomena remains a challenging task. Across
various scientific disciplines, machine learning has advanced as the go-to technology to …

The reproduction number of COVID-19 and its correlation with public health interventions

K Linka, M Peirlinck, E Kuhl - Computational mechanics, 2020 - Springer
Throughout the past six months, no number has dominated the public media more
persistently than the reproduction number of COVID-19. This powerful but simple concept is …

Urban exodus? Understanding human mobility in Britain during the COVID‐19 pandemic using Meta‐Facebook data

F Rowe, A Calafiore, D Arribas‐Bel… - … , Space and Place, 2023 - Wiley Online Library
Existing empirical work has focused on assessing the effectiveness of nonpharmaceutical
interventions on human mobility to contain the spread of COVID‐19. Less is known about …

Mobility restrictions were associated with reductions in COVID-19 incidence early in the pandemic: evidence from a real-time evaluation in 34 countries

J Oh, HY Lee, QL Khuong, JF Markuns, C Bullen… - Scientific reports, 2021 - nature.com
Most countries have implemented restrictions on mobility to prevent the spread of
Coronavirus disease-19 (COVID-19), entailing considerable societal costs but, at least …

Urban dynamics through the lens of human mobility

Y Xu, LE Olmos, D Mateo, A Hernando… - Nature computational …, 2023 - nature.com
The urban spatial structure represents the distribution of public and private spaces in cities
and how people move within them. Although it usually evolves slowly, it can change quickly …

Is it safe to lift COVID-19 travel bans? The Newfoundland story

K Linka, P Rahman, A Goriely, E Kuhl - Computational mechanics, 2020 - Springer
A key strategy to prevent a local outbreak during the COVID-19 pandemic is to restrict
incoming travel. Once a region has successfully contained the disease, it becomes critical to …

Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19

M Peirlinck, K Linka, FS Costabal… - Computer Methods in …, 2020 - Elsevier
Understanding the outbreak dynamics of the COVID-19 pandemic has important
implications for successful containment and mitigation strategies. Recent studies suggest …

COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior

MA Bhouri, FS Costabal, H Wang, K Linka… - Computer Methods in …, 2021 - Elsevier
This paper presents a deep learning framework for epidemiology system identification from
noisy and sparse observations with quantified uncertainty. The proposed approach employs …

[图书][B] Business reopening decisions and demand forecasts during the COVID-19 pandemic

D Balla-Elliott, ZB Cullen, EL Glaeser, M Luca… - 2020 - scholar.archive.org
How quickly will American businesses reopen after COVID-19 lockdowns end? We use a
nationwide survey of small businesses to measure firms' expectations about their re-opening …