The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
FluTE, a Publicly Available Stochastic Influenza Epidemic Simulation Model
Open accessAbstract
Mathematical and computer models of epidemics have contributed to our understanding of the spread of infectious disease and the measures needed to contain or mitigate them. To help prepare for future influenza seasonal epidemics or pandemics, we developed a new stochastic model of the spread of influenza across a large population. Individuals in this model have realistic social contact networks, and transmission and infections are based on the current state of knowledge of the natural history of influenza. The model has been calibrated so that outcomes are consistent with the 1957/1958 Asian A(H2N2) and 2009 pandemic A(H1N1) influenza viruses. We present examples of how this model can be used to study the dynamics of influenza epidemics in the United States and simulate how to mitigate or delay them using pharmaceutical interventions and social distancing measures. Computer simulation models play an essential role in informing public policy and evaluating pandemic preparedness plans. We have made the source code of this model publicly available to encourage its use and further development.
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Cites
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Massari, M., Salmaso, S., Tomba, G. S., Wallinga, J., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050074 · Cited by 2,900
Public health interventions and epidemic intensity during the 1918 influenza pandemic
Hatchett, R. J., Mecher, C. E., & Lipsitch, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610941104 · Cited by 778 · cited 1×
“Mathematical and computer models of epidemics have contributed to our understanding of the spread of infectious disease and the measures needed to contain or mitigate them [1–9].”
Background
Cited by
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
The Parable of Google Flu: Traps in Big Data Analysis
Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014) · Science · doi:10.1126/science.1248506 · Cited by 2,523
Statistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Merler, S., Ajelli, M., Fumanelli, L., Gomes, M. F. C., Piontti, A. P. Y., Rossi, L., Chao, D. L., Longini, I. M., Halloran, M. E., & Vespignani, A. (2015) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(14)71074-6 · Cited by 275
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Metadata
- Authors
- Chao, D. L., Halloran, M. E., Obenchain, V. J., & Longini, I. M.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-01-29
- Volume
- 6
- Issue
- 1
- Pages
- e1000656
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W1965045549
- Cited by
- 346
- References
- 2
- FWCI
- 16.14
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chao, D. L., Halloran, M. E., Obenchain, V. J., & Longini, I. M. (2010). FluTE, a Publicly Available Stochastic Influenza Epidemic Simulation Model. PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1000656
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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