TY - JOUR TI - Updates to the zoonotic niche map of Ebola virus disease in Africa AU - Pigott, David M AU - Millear, Anoushka I AU - Earl, Lucas AU - Morozoff, Chloe AU - Han, Barbara A AU - Shearer, Freya M AU - Weiss, Daniel J AU - Brady, Oliver J AU - Kraemer, Moritz UG AU - Moyes, Catherine L AU - Bhatt, Samir AU - Gething, Peter W AU - Golding, Nick AU - Hay, Simon I A2 - Jit, Mark VL - 5 PY - 2016 DA - 2016/07/14 SP - e16412 C1 - eLife 2016;5:e16412 DO - 10.7554/eLife.16412 UR - https://doi.org/10.7554/eLife.16412 AB - As the outbreak of Ebola virus disease (EVD) in West Africa is now contained, attention is turning from control to future outbreak prediction and prevention. Building on a previously published zoonotic niche map (Pigott et al., 2014), this study incorporates new human and animal occurrence data and expands upon the way in which potential bat EVD reservoir species are incorporated. This update demonstrates the potential for incorporating and updating data used to generate the predicted suitability map. A new data portal for sharing such maps is discussed. This output represents the most up-to-date estimate of the extent of EVD zoonotic risk in Africa. These maps can assist in strengthening surveillance and response capacity to contain viral haemorrhagic fevers. KW - boosted regression tree KW - disease mapping KW - ebola KW - Ebola virus KW - niche based modelling KW - species distribution modelling JF - eLife SN - 2050-084X PB - eLife Sciences Publications, Ltd ER -