The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Modelling the influence of human behaviour on the spread of infectious diseases: a review
Open accessAbstract
Human behaviour plays an important role in the spread of infectious diseases, and understanding the influence of behaviour on the spread of diseases can be key to improving control efforts. While behavioural responses to the spread of a disease have often been reported anecdotally, there has been relatively little systematic investigation into how behavioural changes can affect disease dynamics. Mathematical models for the spread of infectious diseases are an important tool for investigating and quantifying such effects, not least because the spread of a disease among humans is not amenable to direct experimental study. Here, we review recent efforts to incorporate human behaviour into disease models, and propose that such models can be broadly classified according to the type and source of information which individuals are assumed to base their behaviour on, and according to the assumed effects of such behaviour. We highlight recent advances as well as gaps in our understanding of the interplay between infectious disease dynamics and human behaviour, and suggest what kind of data taking efforts would be helpful in filling these gaps.
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Cites
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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
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Prevalence of health misinformation on social media: systematic review
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Epidemic of COVID-19 in China and associated psychological problems.
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Shevlin, M., McBride, O., Murphy, J., Miller, J. G., Hartman, T. K., Levita, L., Mason, L., Martinez, A. P., McKay, R., Stocks, T. V. A., et al. (2020) · BJPsych Open · doi:10.1192/bjo.2020.109 · Cited by 770
“Our secondary aim was to identify groups that are psychologically vulnerable during the pandemic, by assessing the relationship between levels of anxiety, depression and traumatic stress and (1) age; (2) household income; (3) economic threat due to COVID-19; (4) health related risk factors (being male, self or close f…”
Background
Metadata
- Authors
- Funk, S., Salathé, M., & Jansen, V. A. A.
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2010-05-26
- Volume
- 7
- Issue
- 50
- Pages
- 1247-1256
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- OpenAlex
- W2163753340
- Cited by
- 1,314
- References
- 85
- FWCI
- 39.06
- Type
- journal article
- Language
- en
- Open access
- green
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- Funk, S., Salathé, M., & Jansen, V. A. A. (2010). Modelling the influence of human behaviour on the spread of infectious diseases: a review. Journal of The Royal Society Interface. https://doi.org/10.1098/rsif.2010.0142
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
