Source code for analysis of the zoonotic niche of Ebolavirus

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. [Dataset]. GitHub, Inc.. 10.7554/eLife.04395.

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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.

Keywords

Epidemiology and Global Health, Microbiology and Infectious Disease, Boosted regression tree, Disease mapping, Ebola, Niche based modelling, Species distribution modelling, Virus

Item Type	Dataset
Capture method	Simulation
Date	8 September 2014
Language(s) of written materials	English
Creator(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 (-2023)
Participating Institutions	University of Oxford
Date Deposited	23 Jun 2016 11:43
Last Modified	08 Jul 2021 12:49
Publisher	GitHub, Inc.