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Effectiveness of Isolation and Contact Tracing for Containment and Slowing Down a COVID-19 Epidemic: A Modelling Study

https://doi.org/10.2139/ssrn.3551343
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inferred← citeshttps://doi.org/10.1002/14651858.cd013699openalex-snapshot
Digital contact tracing technologies in epidemics: a rapid review
inferred← citeshttps://doi.org/10.1007/978-3-030-72834-2_9openalex-snapshot
COVID-19 Modeling Under Uncertainty: Statistical Data Analysis for Unveiling True Spreading Dynamics and Guiding Correct Epidemiological Management
inferred← citeshttps://doi.org/10.1038/s41467-020-20325-7openalex-snapshot
Bidirectional contact tracing could dramatically improve COVID-19 control
inferred← citeshttps://doi.org/10.1038/s41467-020-20699-8openalex-snapshot
The challenges of containing SARS-CoV-2 via test-trace-and-isolate
inferred← citeshttps://doi.org/10.1145/3464385.3464732openalex-snapshot
A qualitative analysis of users’ attitudes towards the Italian contact tracing app
inferred← citeshttps://doi.org/10.1186/s13690-026-01858-7openalex-snapshot
Enhancing time-varying reproduction number estimates for COVID-19 with behavior and surveillance data in South Korea, 2020–2022
inferred← citeshttps://doi.org/10.12688/wellcomeopenres.16264.1openalex-snapshot
Using contact data to model the impact of contact tracing and physical distancing to control the SARS-CoV-2 outbreak in Kenya
inferred← citeshttps://doi.org/10.1371/journal.pone.0247456openalex-snapshot
Mathematical modeling of COVID-19 transmission dynamics in Uganda: Implications of complacency and early easing of lockdown
inferred← citeshttps://doi.org/10.3389/fphy.2020.00186openalex-snapshot
Confinement Time Required to Avoid a Quick Rebound of COVID-19: Predictions From a Monte Carlo Stochastic Model
inferred← citeshttps://doi.org/10.47176/mjiri.36.155openalex-snapshot
Epidemiologic Parameters for COVID-19: A Systematic Review and Meta-Analysis
inferred← citeshttps://doi.org/10.53846/goediss-9876openalex-snapshot
Complex Dynamics in the Spread of COVID-19
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