ebola_sim: Simulated Ebola outbreak
In outbreaks: A Collection of Disease Outbreak Data

Description Usage Format Details Author(s) References Examples

This simulated outbreak of Ebola Virus Disease matches some key properties of the West African Ebola outbreak of 2014-2015. Specifically, care was taken to use realistic delays (incubation period, serial interval, time to hospitalisation, etc.) and reproduction number (see references).

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ebola_sim

ebola_sim_clean

An object of class list of length 2.

This dataset is used for teaching purposes during Imperial College's short course on infectious disease modelling. The exercise aims to simulate the response to an Ebola outbreak taking place in a single large city, and evaluate the impact of an intervention (increased bed capacity).

Note that to ensure realism, some errors have been introduced in this dataset. These can be identified as negative incubation periods (delay from infection to onset of symptoms). See example for a simple way to identify these cases. The dataset ebola_sim_clean is the same dataset, only dates of infection and onset have been set to 'NA'.

Data simulated by Pierre Nouvellet (p.nouvellet@imperial.ac.uk). Transfer to R and documentation by Thibaut Jombart (thibautjombart@gmail.com).

WHO Ebola Response Team. 2014. Ebola virus disease in West Africa–the first 9 months of the epidemic and forward projections. The New England journal of medicine 371:1481–1495.

WHO Ebola Response Team, J. Agua-Agum, A. Ariyarajah, B. Aylward, I. M. Blake, R. Brennan, A. Cori, C. A. Donnelly, I. Dorigatti, C. Dye, T. Eckmanns, N. M. Ferguson, P. Formenty, C. Fraser, E. Garcia, T. Garske, W. Hinsley, D. Holmes, S. Hugonnet, S. Iyengar, T. Jombart, R. Krishnan, S. Meijers, H. L. Mills, Y. Mohamed, G. Nedjati-Gilani, E. Newton, P. Nouvellet, L. Pelletier, D. Perkins, S. Riley, M. Sagrado, J. Schnitzler, D. Schumacher, A. Shah, M. D. Van Kerkhove, O. Varsaneux, and N. Wijekoon Kannangarage. 2015. West African Ebola epidemic after one year–slowing but not yet under control. The New England journal of medicine 372:584–587.

## identify mistakes in data entry (negative incubation period)
mistakes <- which(ebola_sim$linelist$date_of_onset <= ebola_sim$linelist$date_of_infection)
mistakes
ebola_sim$linelist[mistakes, ]

## check that ebola_sim_clean is identical after removing mistakes
identical(ebola_sim_clean$linelist, ebola_sim$linelist[-mistakes, ])