network model, disease ecology, Ebola, epidemiology, gravity model
Digital Object Identifier (DOI)
Controlling Ebola outbreaks and planning an effective response to future emerging diseases are enhanced by understanding the role of geography in transmission. Here we show how epidemic expansion may be predicted by evaluating the relative probability of alternative epidemic paths. We compared multiple candidate models to characterize the spatial network over which the 2013–2015 West Africa epidemic of Ebola virus spread and estimate the effects of geographical covariates on transmission during peak spread. The best model was a generalized gravity model where the probability of transmission between locations depended on distance, population density and international border closures between Guinea, Liberia and Sierra Leone and neighbouring countries. This model out-performed alternative models based on diffusive spread, the force of infection, mobility estimated from cell phone records and other hypothesized patterns of spread. These findings highlight the importance of integrated geography to epidemic expansion and may contribute to identifying both the most vulnerable unaffected areas and locations of maximum intervention value.
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Citation / Publisher Attribution
Royal Society Open Science, v. 3, issue 8, art. 160294
Scholar Commons Citation
Kramer, Andrew M.; Pulliam, J. Tomlin; Alexander, Laura W.; Park, Andrew W.; Rohani, Pejman; and Drake, John M., "Spatial Spread of the West Africa Ebola Epidemic" (2016). Integrative Biology Faculty and Staff Publications. 506.