Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
PhD Candidate Quantitative Biology (Malaria Control Models/Simulations), volunteer for Partners In Health, degrees in Chem,Physics,Biology
The beginning stages of a deep scrubbing of this, well, interesting dataset.
Looking for covariates of Ebola in West Africa
Plots of various relations in the data
Regression model of Ebola Death Cases vs Demographic Characteristics
google maps, statistics, demographics, cloudent, sql, excell,charts, infographics, appyio,
Predicting rate of growth of ebola and the impact of socio-economic factors
Visualize Ebola cases with health centers. Find correlations with food prices.
Look into Sierra Leone food pricing shows either no ebola correlation or need for more relevant data
We use Stata 13.1, SPSS Version 22 and SAS 9.4 statistical software.
NA
We try to identify the important time-seriers and demographic features for cases and deaths prediction.
Using Network Analysis to examine ETU locations.