layout | title | summary |
---|---|---|
page |
Ebola code repository |
This site hosts code for Ebola virus disease models from the ICI3D faculty. |
Bellan SE, JRC Pulliam, CAB Pearson, D Champredon, SJ Fox, L Skrip, AP Galvani, M Gambhir, BA Lopman, TC Porco, LA Meyers, and J Dushoff. The statistical power and validity of Ebola vaccine trials in Sierra Leone: A simulation study of trial design and analysis. To be published online before print April 15, 2015. Lancet Infectious Diseases.
The models and code to generate all figures are available here.
The code is made available under a Creative Commons Attribution 4.0 International License. You are free to reuse this code provided that you give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Giving appropriate credit includes citation of the above publication and providing a link to the repository:
https://github.com/sbellan61/EbolaVaccPowerSL
The repository contains all files needed to run the analyses in:
Bellan SE, JRC Pulliam, J Dushoff, and LA Meyers. Ebola virus vaccine trials: the ethical mandate for a therapeutic safety net. Published online before print December 10, 2014. The British Medical Journal 349:g7518.
This R script contains the model and code to generate relevant figures: [equipoise.R]({{ site.subdomainurl }}/BMJ/equipoise.R)
The code is made available under a Creative Commons Attribution 4.0 International License. You are free to reuse this code provided that you give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Giving appropriate credit includes citation of the above publication and providing a link to this repository:
https://github.com/ICI3D/Ebola
The repository contains all files needed to run the analyses in:
Bellan SE, JRC Pulliam, J Dushoff, and LA Meyers. Ebola control: effect of asymptomatic infection and acquired immunity. The Lancet, October 14, 2014. (Appendix)
This R script contains the model and code to generate relevant figures: [ebolaSEIR.R]({{ site.subdomainurl }}/Lancet/ebolaSEIR.R)
The code is made available under a Creative Commons Attribution 4.0 International License. You are free to reuse this code provided that you give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Giving appropriate credit includes citation of the above publication and providing a link to this repository:
https://github.com/ICI3D/Ebola
Weitz, JS and J Dushoff. Modeling Post-death Transmission of Ebola: Challenges for Inference and Opportunities for Control. Scientific Reports 5: 8751. DOI:10.1038/srep08751
A preprint of the paper is available on ArXiv. Posted 14 November 2014. arXiv:1411.3435.
Enanoria, WT, L Worden, F Liu, D Gao, S Ackley, JC Scott, M Deiner, E Mwebaze, W Ip, TM Lietman, and TC Porco.
PLoS One. 2015 Oct 20;10(10):e0140651. doi: 10.1371/journal.pone.0140651. eCollection 2015.
Pulliam, JRC, SE Bellan, M Gambhir, LA Meyers, and J Dushoff. (2015) Evaluating Ebola vaccine trials: Insights from simulation. The Lancet Infectious Diseases. 15(10): 1134. DOI:110.1016/S1473-3099(15)00303-5
Rivers C, Alexander K, Bellan SE, Valle S Del, Drake JM, Eisenberg JNS, et al. Ebola: models do more than forecast. Published online before print November 26, 2014. Nature.