Source code for analysis of the zoonotic niche of Ebolavirus

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Pigott, DM, Golding, N, Mylne, A, Huang, Z, Henry, AJ, Weiss, DJ, Brady, OJ, Kraemer, MU, Smith, DL, Moyes, CL, Bhatt, S, Gething, PW, Horby, PW, Bogoch, II, Brownstein, JS, Mekaru, SR, Tatem, AJ, Khan, K and Hay, SI. 2014. Source code for analysis of the zoonotic niche of Ebolavirus. [Online]. GitHub, Inc.. Available from: 10.7554/eLife.04395 https://github.com/SEEG-Oxford/ebola_zoonotic

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R source code used to perform the majority of the analysis for the eLife paper on mapping the zoonotic niche of Ebola virus disease in Africa. It will help the user to scrutinise the methodological approaches used, but cannot be used to fully reproduce the analysis, since the analysis relies on several very large data files (raster imagery, occurrence data etc.) The code is designed to run on a 64-core machine so the model fitting may slow on some machines.

Published in a 3rd party system Date: 8 September 2014
Data capture method:
Mode of data capture
Simulation
Data Creators(s): Pigott, DM, Golding, N, Mylne, A, Huang, Z, Henry, AJ, Weiss, DJ, Brady, OJ, Kraemer, MU, Smith, DL, Moyes, CL, Bhatt, S, Gething, PW, Horby, PW, Bogoch, II, Brownstein, JS, Mekaru, SR, Tatem, AJ, Khan, K and Hay, SI
LSHTM Faculty/Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Participating Institutions: University of Oxford

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