Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state

M Abueg, R Hinch, N Wu, L Liu, W Probert, A Wu… - NPJ digital …, 2021 - nature.com
Contact tracing is increasingly used to combat COVID-19, and digital implementations are
now being deployed, many based on Apple and Google's Exposure Notification System …

Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state

M Abueg, R Hinch, N Wu, L Liu, W Probert, A Wu… - MedRxiv, 2020 - medrxiv.org
Contact tracing is increasingly being used to combat COVID-19, and digital implementations
are now being deployed, many of them based on Apple and Google's Exposure Notification …

Impact of close interpersonal contact on COVID-19 incidence: Evidence from 1 year of mobile device data

FW Crawford, SA Jones, M Cartter, SG Dean… - Science …, 2022 - science.org
Close contact between people is the primary route for transmission of SARS-CoV-2, the
virus that causes coronavirus disease 2019 (COVID-19). We quantified interpersonal contact …

[HTML][HTML] Bayesian modeling of dynamic behavioral change during an epidemic

C Ward, R Deardon, AM Schmidt - Infectious Disease Modelling, 2023 - Elsevier
For many infectious disease outbreaks, the at-risk population changes their behavior in
response to the outbreak severity, causing the transmission dynamics to change in real-time …

Breiman's two cultures: You don't have to choose sides

AC Miller, NJ Foti, EB Fox - Observational Studies, 2021 - muse.jhu.edu
Breiman's classic paper casts data analysis as a choice between two cultures: data
modelers and algorithmic modelers. Stated broadly, data modelers use simple, interpretable …

Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers?

AC Rusu, R Emonet, K Farrahi - Plos one, 2021 - journals.plos.org
Comprehensive testing schemes, followed by adequate contact tracing and isolation,
represent the best public health interventions we can employ to reduce the impact of an …

Calibration verification for stochastic agent-based disease spread models

M Horii, A Gould, Z Yun, J Ray, C Safta, T Zohdi - PloS one, 2024 - journals.plos.org
Accurate disease spread modeling is crucial for identifying the severity of outbreaks and
planning effective mitigation efforts. To be reliable when applied to new outbreaks, model …

Scalable Domain Decomposition Methods for Nonlinear and Time-Dependent Stochastic Systems

P Vasudevan, S Sharma - 2023 - repository.library.carleton.ca
Computational modelling is one of the most important tools to understand and predict real-
life physical processes. However, the accuracy of their predictions becomes questionable …