ArticlePLoS computational biology2022
Digital contact tracing and network theory to stop the spread of COVID-19 using big-data on human mobility geolocalization.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Network-based proactive contact tracing: A pre-emptive, degree-based alerting framework for privacy-preserving COVID-19 apps.PLOS digital health · 2025Article
- The impact of COVID-19 mobility restrictions on dengue transmission in urban areas.PLoS neglected tropical diseases · 2024Article
- Article
- Assessing respiratory epidemic potential in French hospitals through collection of close contact data (April-June 2020).Scientific reports · 2024Article
- Unveiling the paths of COVID-19 in a large city based on public transportation data.Scientific reports · 2023Article
- Characterization of superspreaders movement in a bidirectional corridor using a social force model.Frontiers in public health · 2023Article
- A comparison of COVID-19 outbreaks across US Combined Statistical Areas using new methods for estimating REpidemics · 2022Article
- A spatiotemporal decay model of human mobility when facing large-scale crises.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Ranking the effectiveness of non-pharmaceutical interventions to counter COVID-19 in UK universities with vaccinated population.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The spread of COVID-19 caused by the SARS-CoV-2 virus has become a worldwide problem with devastating consequences. Here, we implement a comprehensive contact tracing and network analysis to find an optimized quarantine protocol to dismantle the chain of transmission of coronavirus with minimal disruptions to society. We track billions of anonymized GPS human mobility datapoints to monitor the evolution of the contact network of disease transmission before and after mass quarantines. As a consequence of the lockdowns, people's mobility decreases by 53%, which results in a drastic disintegration of the transmission network by 90%. However, this disintegration did not halt the spreading of the disease. Our analysis indicates that superspreading k-core structures persist in the transmission network to prolong the pandemic. Once the k-cores are identified, an optimized strategy to break the chain of transmission is to quarantine a minimal number of 'weak links' with high betweenness centrality connecting the large k-cores.
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Registered trials
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