ArticleProceedings of the National Academy of Sciences of the United States of America2022
Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic.BMC public health · 2026Pooled it
- Assessing the usefulness of digital contact tracing using real-world contact data.Scientific reports · 2026Article
- Network structure induced bias in estimates of intrinsic generation times.PLoS computational biology · 2026Article
- Quantifying the impact of social activities on SARS-CoV-2 transmission using Google mobility reports.PLOS global public health · 2026Article
- A Systematic Review of Spatial Epidemiological Modeling Approaches Applied During the COVID-19 Pandemic.medRxiv : the preprint server for health sciences · 2025Article
- Inferring the timing of individual mobility decisions from accommodation reservation data during the COVID-19 outbreak.Royal Society open science · 2025Article
- Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries.EPJ data science · 2025Article
- Article
- Generalized contact matrices allow integrating socioeconomic variables into epidemic models.Science advances · 2024Article
- Estimating the contribution of setting-specific contacts to SARS-CoV-2 transmission using digital contact tracing data.Nature communications · 2024Article
- Article
- Static graph approximations of dynamic contact networks for epidemic forecasting.Scientific reports · 2024Article
- The unequal effects of the health-economy trade-off during the COVID-19 pandemic.Nature human behaviour · 2024Article
- Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic.PLOS digital health · 2024Article
- Open-source data pipeline for street-view images: A case study on community mobility during COVID-19 pandemic.PloS one · 2024Article
- Heterogeneous changes in mobility in response to the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach.PNAS nexus · 2023Article
- Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies.PLoS computational biology · 2023Article
- Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model.Scientific reports · 2023Article
- Association of close-range contact patterns with SARS-CoV-2: a household transmission study.eLife · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Detailed characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission across different settings can help design less disruptive interventions. We used real-time, privacy-enhanced mobility data in the New York City, NY and Seattle, WA metropolitan areas to build a detailed agent-based model of SARS-CoV-2 infection to estimate the where, when, and magnitude of transmission events during the pandemic's first wave. We estimate that only 18% of individuals produce most infections (80%), with about 10% of events that can be considered superspreading events (SSEs). Although mass gatherings present an important risk for SSEs, we estimate that the bulk of transmission occurred in smaller events in settings like workplaces, grocery stores, or food venues. The places most important for transmission change during the pandemic and are different across cities, signaling the large underlying behavioral component underneath them. Our modeling complements case studies and epidemiological data and indicates that real-time tracking of transmission events could help evaluate and define targeted mitigation policies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.