Sophia Overturf
CODES
Dr.Smith
4/26/24
This data set is called fast cities HIV data, this data set was created by Mati Hlatswayo, Franda J. Thomas, Elvin Geng, Cory Bradley. They are the co-chairs, advisor, and collective impact and implication specialist. The sources of their data are hospitals and care facilities that wanted to share the information that they acquired. The reasoning they decided to compile data was to help reduce new HIV transmissions and disparate health outcomes for people living with HIV in those counties. The data has been used to compile current data that they have on people living with HIV. It is structured as graphs of data and has different tabs for the county, city, and state. The fields they have chosen are people living with HIV, newly diagnosed, people linked to care, and people who are virally suppressed. It might limit some information, due to how specific the fields of study are and the possibility that there could be different data. The creators did not give a description or any choices they made during the cleaning. As I think they include whatever data they can get from surrounding hospitals and clinics. To help get an idea on the people living with HIV and their current statis. The only thing they state about the data is how they acquire it and share the information and where they get it from. Having different graphs for where the people are located, their linkage to care, and their statis on how their HIV is currently. However, they do give good descriptions of each of their graphs, explaining what information each one contains. Well since each of the people who made this data set had some form of PhD, their previous knowledge likely helped them shape the data set and to also know how to properly format the data that they have collected. There may be very medical feeling information on the site, but it is understandable to anyone who comes across it. I don’t think any information was put in inadvertently, as every piece of info seems to have purpose of some kind to inform anyone who looks at it. The only thing I would use this data for is to write this and if I was doing research on HIV. Otherwise, I don’t have much use for this data as it doesn’t relate to anything I currently do. I don’t think this data would help us understand the complex dynamics at MOBOT or its surrounding communities. It might help the communities but not in the way we intend to help as it doesn’t have anything to do with the garden or the herbarium, or even plants for that matter. It might help us have a way to organize data to help the people at MOBOT understand what we are aiming for but otherwise it wouldn’t help in any other way. So, I think this data set may help the people looking for information on HIV but would definitely not help us get an understanding of MOBOT complex dynamics.