Yared Gurmu • over 11 years ago
Fitting logistic growth curve to understand the spread of EVD
Our primary objective is to estimate the spread/growth of EVD using logistic growth curves. We will have different curves for different regions in different countries. We plan to determine what factors explain the region to region variability of the parameters of the growth curve.
DATA Source we are using:
For a weekly report of the cases:
*https://data.hdx.rwlabs.org/dataset/evd-cases-by-district
For covariate information:
Sub-national Indicators Ebola Countries:
http://www.qdatum.io/public-sources#feed_6
We will be posting some merged data soon.
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2 comments
david schoenfeld • over 11 years ago
I have created a key to go from the database used here to the database that uses
sdr_names
https://dl.dropboxusercontent.com/u/28235358/Guinea_key.csv
Yared Gurmu • over 11 years ago
We have merged data using the covariate information from http://www.qdatum.io/public-sources#feed_6 with weekly case number information from https://data.hdx.rwlabs.org/dataset/evd-cases-by-district.
NOTE: For guinea, we only "found" ADM 1 covariate data. Thus, we had to collapse the weekly case number to the ADM1 level. We are not sure if this is the best way but this is all we know at this point. Please let us know if you have better information!
Here is the data we have so far. Final merged datasets are included in a folder named "final-data". Please let us know if there are problems with the data. See the R code for further comments.
https://drive.google.com/folderview?id=0B915sMG77RJYblBTS2hhdURaMms&usp=sharing