what we want to do (from eugejoh):
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Create a dashboard or something interactive visualization that shows changes over time (with Ebola and conflict data)
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Overlay conflicts and Ebola cases (point in polygon operations to the admin 2 level), maybe get a rate for cases per conflicts in a geographic region (as a metric to compare the basic relation to the two datasets)
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A potential statistical analysis would be doing a spatial autocorrelation or clustering analysis (Global/Local Moran's I or G statistic) - this I haven't done in any detail but something I've wanted to try doing in R
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can we get an "excess cases due to conflict" number?
data sources:
maybe useful?