Ebola code repository
This site hosts code for Ebola virus disease models from the ICI3D faculty.
Research papers
1. Bellan et al. 2015 Lancet Infectious Diseases
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.
Model code
The models and code to generate all figures are available here.
License
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
2. Bellan et al. 2014 BMJ
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.
Model code
This R script contains the model and code to generate relevant figures: equipoise.R
License
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
3. Bellan et al. 2014 The Lancet
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)
Model code
This R script contains the model and code to generate relevant figures: ebolaSEIR.R
License
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
4. Weitz and Dushoff 2014 Scientific Reports
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.
5. Enanoria et al. 2015 PLOS One
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.
Commentaries
1. Pulliam et al. 2015 Lancet Infectious Diseases
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
2. Rivers et al. 2014 Nature
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.