Using information theory to optimise epidemic models for real-time prediction and estimation
Author
Abstract
Suggested Citation
DOI: 10.1371/journal.pcbi.1007990
Download full text from publisher
References listed on IDEAS
- Peter D. Grünwald, 2007. "The Minimum Description Length Principle," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262072815, April.
- Sebastian Funk & Anton Camacho & Adam J Kucharski & Rachel Lowe & Rosalind M Eggo & W John Edmunds, 2019. "Assessing the performance of real-time epidemic forecasts: A case study of Ebola in the Western Area region of Sierra Leone, 2014-15," PLOS Computational Biology, Public Library of Science, vol. 15(2), pages 1-17, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Sophia Beckett Velez, 2021. "Idiosyncratic Viral Loss Theory: Systemic Operational Losses in Banks," JRFM, MDPI, vol. 14(2), pages 1-13, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lei, Da & Cheng, Long & Wang, Pengfei & Chen, Xuewu & Zhang, Lin, 2024. "Identifying service bottlenecks in public bikesharing flow networks," Journal of Transport Geography, Elsevier, vol. 116(C).
- Neuwald Andrew F., 2014. "Protein domain hierarchy Gibbs sampling strategies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(4), pages 497-517, August.
- Junyi Lu & Sebastian Meyer, 2020. "Forecasting Flu Activity in the United States: Benchmarking an Endemic-Epidemic Beta Model," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
- Das Ujjwal & Ebrahimi Nader, 2018. "A New Method For Covariate Selection In Cox Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 297-314, June.
- Zelaya Mendizábal, Valentina & Boullé, Marc & Rossi, Fabrice, 2023. "Fast and fully-automated histograms for large-scale data sets," Computational Statistics & Data Analysis, Elsevier, vol. 180(C).
- Ujjwal Das & Nader Ebrahimi, 2018. "A New Method For Covariate Selection In Cox Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 297-314, June.
- Emily S Nightingale & Lloyd A C Chapman & Sridhar Srikantiah & Swaminathan Subramanian & Purushothaman Jambulingam & Johannes Bracher & Mary M Cameron & Graham F Medley, 2020. "A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(7), pages 1-21, July.
- Coughlan de Perez, Erin & Stephens, Elisabeth & van Aalst, Maarten & Bazo, Juan & Fournier-Tombs, Eleonore & Funk, Sebastian & Hess, Jeremy J. & Ranger, Nicola & Lowe, Rachel, 2022. "Epidemiological versus meteorological forecasts: Best practice for linking models to policymaking," International Journal of Forecasting, Elsevier, vol. 38(2), pages 521-526.
- Yurij L. Katchanov & Natalia A. Shmatko, 2014. "Complexity-Based Modeling of Scientific Capital: An Outline of Mathematical Theory," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-10, October.
- Mullins, Joshua & Mahadevan, Sankaran, 2014. "Variable-fidelity model selection for stochastic simulation," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 40-52.
- K. Vela Velupillai, 2010. "The Algorithmic Revolution in the Social Sciences: Mathematical Economics, Game Theory and Statistical Inference," ASSRU Discussion Papers 1005, ASSRU - Algorithmic Social Science Research Unit.
- Andrew F Neuwald & Stephen F Altschul, 2016. "Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-21, May.
- Alperen Bektas & Valentino Piana & René Schumann, 2021. "A meso-level empirical validation approach for agent-based computational economic models drawing on micro-data: a use case with a mobility mode-choice model," SN Business & Economics, Springer, vol. 1(6), pages 1-25, June.
- Neuwald Andrew F., 2011. "Surveying the Manifold Divergence of an Entire Protein Class for Statistical Clues to Underlying Biochemical Mechanisms," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-30, August.
- Löcherbach, Eva & Orlandi, Enza, 2011. "Neighborhood radius estimation for variable-neighborhood random fields," Stochastic Processes and their Applications, Elsevier, vol. 121(9), pages 2151-2185, September.
- Vittoria Bruni & Michela Tartaglione & Domenico Vitulano, 2020. "A Signal Complexity-Based Approach for AM–FM Signal Modes Counting," Mathematics, MDPI, vol. 8(12), pages 1-33, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1007990. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.