Reading Data Sets
Digital collection of annotated data sets.
COVID-19 Data Group Analytics
This is a list of analytics by the COVID-19 Data Group.
COVID 19 & Data Working Group Update: November 6, 2020
Research update by the COVID-19 Data Working Group.
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maryclare.crochiere"Two FDNY EMTs who had to intervene to stop four police officers beating a handcuffed patient on a stretcher have turned the cops in to authorities"
""Three cops began to punch the patient in the face, EMS (had) to get in the middle of it to intervene. Pt's. wounds and injuries cleaned in the (ambulance)," the report said."
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maryclare.crochiereI further researched the reliability of some of the funds that were donated to in the months after the disaster. The FBI issued warnings to those donating to be sure they were giving money to a reliable fund, as there was a lot of fraud taking place. With so much money being donated internationally in a short period of time, it was likely easy for such to occur, and that also took away from the amount of aid Haiti received.
I also looked into the improvements in the country over the first few years since the earthquake. The people of Haiti were cited as having a strong desire to help rebuild, they just needed to be shown how. http://www.nbc29.com/story/20596283/haiti-sees-improvements-since-earth…
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maryclare.crochiereI looked up the rates of hospital bankruptcy/closing, the results looked to be interesting. The article (http://www.healthcarefinancenews.com/news/hospital-bankruptcies-result-…) makes it seem avoidable, if the warnings are taken seriously in the years leading up to the crisis. "What they found was that filing hospitals tended to be smaller, not part of a health system and were more likely to be in the Northeast or West Coast. Many factors were involved, including poor financial management, changes in payer mix, reimbursement reductions, overzealous construction and purchasing of physician practices, decrease in volume and demographic shifts that were the impetus for filing."
I also looked up ER wait time statistics, by state, over the course of several years, etc. (https://projects.propublica.org/emergency/) Very interesting!
This is a COVID-19 data set/dashboard collected by researchers at Seoul National University.