Networks of SARS-CoV-2 transmission
Abstract
Individual and network heterogeneity should inform respiratory pandemic responses
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Context-specific and tailored implementation strategies improve vaccine acceptability.
“improve vaccine acceptability(54,55)”
Cited by
Sorted by citations
Mishra, S., Ma, H., Moloney, G., Yiu, K. C. Y., Darvin, D., Landsman, D., Kwong, J. C., Calzavara, A., Straus, S., Chan, A. K., et al. (2022) · Annals of Epidemiology · doi:10.1016/j.annepidem.2021.07.007 · Cited by 53 · see citing works
Self-citationWang, L., Swayze, S., Bodner, K., Calzavara, A., Harrigan, S. P., Siddiqi, A., Baral, S. D., Austin, P. C., Smylie, J., Koh, M., et al. (2026) · American Journal of Epidemiology · doi:10.1093/aje/kwaf051 · Cited by 5 · see citing works
Self-citation
- Authors
- Cevik, M., & Baral, S. D.
- Affiliations
- Infection and Global Health Division, School of Medicine, University of St Andrews, St Andrews, UK.
- Johns Hopkins University (US)
- ORCID
- Baral, Stefan D.
- Venue
- Science
- Published
- 2021-07-09
- Volume
- 373
- Issue
- 6551
- Pages
- 162-163
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W3178504470
- Cited by
- 46
- References
- 0
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 4 · 2023: 10 · 2022: 13 · 2021: 11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- SARS-CoV-2, transmission networks, network heterogeneity, individual heterogeneity, pandemic response, contact networks
- MeSH terms
- COVID-19, Communicable Disease Control, Family Characteristics, Health Policy, Humans, Minority Groups, Occupations, Risk Factors, Socioeconomic Factors, Basic Reproduction Number, Health Status Disparities, Racism
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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