Related references
Note: Only part of the references are listed.Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2
Kaiyuan Sun et al.
SCIENCE (2021)
A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
Pablo Rodriguez et al.
NATURE COMMUNICATIONS (2021)
To quarantine, or not to quarantine: A theoretical framework for disease control via contact tracing
Davin Lunz et al.
EPIDEMICS (2021)
The epidemiological impact of the NHS COVID-19 app
Chris Wymant et al.
NATURE (2021)
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Joel Hellewell et al.
LANCET GLOBAL HEALTH (2020)
Information Technology-Based Tracing Strategy in Response to COVID-19 in South Korea-Privacy Controversies
Sangchul Park et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
Luca Ferretti et al.
SCIENCE (2020)
The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
Kyra H. Grantz et al.
NATURE COMMUNICATIONS (2020)
Parameter estimation and prediction for coronavirus disease outbreak 2019 (COVID-19) in Algeria
Soufiane Bentout et al.
AIMS PUBLIC HEALTH (2020)
Inference of causality in epidemics on temporal contact networks
Alfredo Braunstein et al.
SCIENTIFIC REPORTS (2016)
The patient-zero problem with noisy observations
Fabrizio Altarelli et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2014)
Bayesian Inference of Epidemics on Networks via Belief Propagation
Fabrizio Altarelli et al.
PHYSICAL REVIEW LETTERS (2014)
Optimizing spread dynamics on graphs by message passing
F. Altarelli et al.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT (2013)