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.
pece_annotation_1473631965
josh.correiraOne of the main arguments in this publication is that the spread of illness is often determined by social forces. For example, impoverished individuals may be more susceptible to illness because they cannot afford the proper treatment, not because they are more likely to contract the illness. This is described as structural violence: socio-structural factors that prevent people from achieving their full potential, e.g. receiving medical care.
pece_annotation_1473634245
josh.correiraThe report has been cited by many other articles and reports including ones published by the NIH
pece_annotation_1474821755
josh.correiraThe main point of this article is to argue how the EPA falsely stated that the air quality around the site of the tower collapses in the day following 9/11 was safe. They argue this by stating that the building was constructed of 2,000 tons of asbestos and 424,000 tons of concrete which generated millions of tons of dust around the site of the collapse, per EPA estimates. They also argue that the EPA is at fault for making false statements of security and should be mandated to fund the cleanup process.
This is a COVID-19 data set/dashboard collected by researchers at Seoul National University.