Coming soon

What it does

Determining the barriers to HIV screening and explaining HIV incident rates.

How we built it

We used a generalized linear model (linear regression) to identify predictors of HIV incident rates in Charlotte by zip codes.

Challenges we ran into

Data connection was an issue. Data mapping was also another obstacle.

Accomplishments that we're proud of

We were able to retrieve data from the different clinics and join them accordingly for our analysis.

What we learned

Throughout this exercise, we were able to understand that health care access is not only driven by policies, but also by the structure of the patient data and how that data is collected and stored for analytic purposes.

What's next for DataHolics

We will use the predictors from our linear regression analysis and train a model to predict HIV rates in Charlotte for the next 5 years.

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