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The SEIRS model for infectious disease dynamics
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Daily infections are a crucial input into measuring the changing effective reproductive number (Reffective).
“Daily infections are also the crucial input into measuring the changing effective reproductive number (Reffective, the number of subsequent infections caused by a new infection).1, 2, 3”
From Estimating global, regional, and national daily and cumulative infections with SARS-CoV-2 through Nov 14, 2021: a statistical analysis (2022) · cites this paper as [2]
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References 4 · Cited by 231
Metadata
- Authors
- Bjørnstad, O. N., Shea, K., Krzywinski, M., & Altman, N.
- Affiliations
- Pennsylvania State University (US)
- Canada's Michael Smith Genome Sciences Centre (CA)
- Corresponding author
- Krzywinski, Martin
- Venue
- Nature Methods
- Published
- 2020-06
- Volume
- 17
- Issue
- 6
- Pages
- 557-558
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W3033618701
- Cited by
- 231
- References
- 4
- Citations by year
- 2026: 16 · 2025: 39 · 2024: 56 · 2023: 35 · 2022: 40 · 2021: 32 · 2020: 13
- Type
- other
- Language
- en
- Update notices
- correction (2021-02-01)
- Open access
- bronze
- doi.org
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Disease Management and Epidemiology
- Keywords
- SEIRS model, infectious disease dynamics, epidemic modeling, latency, loss of immunity, birth and death, compartmental model
- MeSH terms
- Communicable Diseases, Computer Simulation, Humans, Infant, Newborn, Models, Biological, Vaccination, Disease Transmission, Infectious, Basic Reproduction Number
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