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add reference to other ringbp spin offs
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posts/epi-community-contrib/index.bib

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@misc{davisImperfectToolContact2020,
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title = {An Imperfect Tool: Contact Tracing Could Provide Valuable Reductions in {{COVID-19}} Transmission If Good Adherence Can Be Achieved and Maintained},
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shorttitle = {An Imperfect Tool},
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author = {Davis, Emma L. and Lucas, Tim C. D. and Borlase, Anna and Pollington, Timothy M. and Abbott, Sam and Ayabina, Diepreye and Crellen, Thomas and Hellewell, Joel and Pi, Li and {CMMID COVID-19 working group} and Medley, Graham F. and Hollingsworth, T. D{\'e}irdre and Klepac, Petra},
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year = {2020},
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month = jun,
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doi = {10.1101/2020.06.09.20124008},
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urldate = {2025-08-13},
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abstract = {Abstract Emerging evidence suggests that contact tracing has had limited success in the UK in reducing the R number across the COVID-19 pandemic. We investigate potential pitfalls and areas for improvement by extending an existing branching process contact tracing model, adding diagnostic testing and refining parameter estimates. Our results demonstrate that reporting and adherence are the most important predictors of programme impact but tracing coverage and speed plus diagnostic sensitivity also play an important role. We conclude that well-implemented contact tracing could bring small but potentially important benefits to controlling and preventing outbreaks, providing up to a 15\% reduction in R , and reaffirm that contact tracing is not currently appropriate as the sole control measure.},
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langid = {english},
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file = {/Users/lshjl15/Zotero/storage/AHPVUDTS/Davis et al. - 2020 - An imperfect tool contact tracing could provide v.pdf}
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}
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@article{firthUsingRealworldNetwork2020,
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title = {Using a Real-World Network to Model Localized {{COVID-19}} Control Strategies},
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author = {Firth, Josh A. and Hellewell, Joel and Klepac, Petra and Kissler, Stephen and {CMMID COVID-19 Working Group} and Jit, Mark and Atkins, Katherine E. and Clifford, Samuel and {Villabona-Arenas}, C. Julian and Meakin, Sophie R. and Diamond, Charlie and Bosse, Nikos I. and Munday, James D. and Prem, Kiesha and Foss, Anna M. and Nightingale, Emily S. and Zandvoort, Kevin Van and Davies, Nicholas G. and Gibbs, Hamish P. and Medley, Graham and Gimma, Amy and Flasche, Stefan and Simons, David and Auzenbergs, Megan and Russell, Timothy W. and Quilty, Billy J. and Rees, Eleanor M. and Leclerc, Quentin J. and Edmunds, W. John and Funk, Sebastian and Houben, Rein M. G. J. and Knight, Gwenan M. and Abbott, Sam and Sun, Fiona Yueqian and Lowe, Rachel and Tully, Damien C. and Procter, Simon R. and Jarvis, Christopher I. and Endo, Akira and O'Reilly, Kathleen and Emery, Jon C. and Jombart, Thibaut and Rosello, Alicia and Deol, Arminder K. and Quaife, Matthew and Hu{\'e}, St{\'e}phane and Liu, Yang and Eggo, Rosalind M. and Pearson, Carl A. B. and Kucharski, Adam J. and Spurgin, Lewis G.},
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year = {2020},
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month = oct,
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journal = {Nature Medicine},
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volume = {26},
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number = {10},
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pages = {1616--1622},
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issn = {1078-8956, 1546-170X},
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doi = {10.1038/s41591-020-1036-8},
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urldate = {2025-08-13},
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langid = {english},
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file = {/Users/lshjl15/Zotero/storage/EKVXH6KU/Firth et al. - 2020 - Using a real-world network to model localized COVI.pdf}
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}
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@article{hellewellFeasibilityControllingCOVID192020,
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title = {Feasibility of Controlling {{COVID-19}} Outbreaks by Isolation of Cases and Contacts},
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author = {Hellewell, Joel and Abbott, Sam and Gimma, Amy and Bosse, Nikos I and Jarvis, Christopher I and Russell, Timothy W and Munday, James D and Kucharski, Adam J and Edmunds, W John and Funk, Sebastian and Eggo, Rosalind M and Sun, Fiona and Flasche, Stefan and Quilty, Billy J and Davies, Nicholas and Liu, Yang and Clifford, Samuel and Klepac, Petra and Jit, Mark and Diamond, Charlie and Gibbs, Hamish and Van Zandvoort, Kevin},

posts/epi-community-contrib/index.qmd

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## The R package
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The R package in question is [{ringbp}](https://github.com/epiforecasts/ringbp). The package has two pieces of functionality: 1) to simulate an infectious disease outbreak using a branching process model with non-pharmaceutical interventions; and 2) to calculate the proportion of simulated outbreaks that are contained (i.e. do not cause a large sustained human-to-human epidemic). The utility of the package's general model framework has been shown by serving as a template for other epidemiological research such as [post-exposure prophylaxis](https://sophiemeakin.github.io/pepbp/).
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The R package in question is [{ringbp}](https://github.com/epiforecasts/ringbp). The package has two pieces of functionality: 1) to simulate an infectious disease outbreak using a branching process model with non-pharmaceutical interventions; and 2) to calculate the proportion of simulated outbreaks that are contained (i.e. do not cause a large sustained human-to-human epidemic). The utility of the package's general model framework has been shown by serving as a template for other epidemiological research such as [post-exposure prophylaxis](https://sophiemeakin.github.io/pepbp/), [network effects on control](https://github.com/lgs85/covidhm) [@firthUsingRealworldNetwork2020] and the [impact of self-reporting and isolation adherence](https://github.com/timcdlucas/ringbp) [@davisImperfectToolContact2020].
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## The problem
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