ArticleApplied mathematical modelling2022
How efficient is contact tracing in mitigating the spread of COVID-19? a mathematical modeling approach.
Article in Applied mathematical modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature.Healthcare (Basel, Switzerland) · 2025Review
- Assessing the effectiveness of the intervention measures of COVID-19 in China based on dynamical method.Infectious Disease Modelling · 2023Article
- Dynamical analysis of a stochastic delayed epidemic model with lévy jumps and regime switching.Journal of the Franklin Institute · 2023Article
- Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive.Mathematics and computers in simulation · 2023Article
- On the optimal presence strategies for workplace during pandemics: A COVID-19 inspired probabilistic model.PloS one · 2023Article
- Design, Implementation, and Outcomes of a Volunteer-Staffed Case Investigation and Contact Tracing Initiative at an Urban Academic Medical Center.JAMA network open · 2022Article
- Modeling COVID-19 spreading dynamics and unemployment rate evolution in rural and urban counties of Alabama and New York using fractional derivative models.Results in physics · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Contact Tracing (CT) is one of the measures taken by government and health officials to reduce the spread of the novel coronavirus. In this paper, we investigate its efficacy by developing a compartmental model for assessing its impact on mitigating the spread of the virus. We describe the impact on the reproduction number
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