In response to this public health emergency, BroadStreet is releasing data files with cumulative counts of coronavirus cases and mortalities in the United States and their territories, at the county level, from January 20th, 2020 to present. The BroadStreet COVID-19 Data Project data is unique in that data is updated/corrected by quality assurance reviews in days, weeks and months following initial entry. We feel this will provide an alternate method of collecting COVID-19 data and an alternate historical snapshot. This data allows individuals to visualize the pandemic impact on counties, states and the United States. This data, including daily case totals from the first known case of the virus, gives the public access to knowledge regarding the rate of transmission and spread of the virus.
The COVID-19 Data Project and BroadStreet have partnered with Temple University’s Center for Public Health Law Research (CPHLR) to look at longitudinal executive orders (i.e. policy) relating to COVID-19. CPHLR’s process has been applied to the crowd-sourcing capabilities of the COVID-19 Data Project in order to gather up-to-date executive orders and proclamations for each state, convert them into machine readable files, and visually quantify the qualitative data. Each order is read and coded by Policy Teams in line with the scoping criteria of CPHLR, with coordinating sections of the orders highlighted as a form of citation. Topics considered “In Scope” include: Mask Requirement, Gathering Ban, School and Restaurant Restrictions and/or Closure, Traveler Restrictions, and more. Additional topics that are considered “Out of Scope,” but are found to be common between states are recognized and noted. The effective period and any amending feature of each order is also notated. On a weekly basis, around 200 Executive Orders and their original sources are gathered, converted, read, and coded before a quality assurance process is completed to verify that all of the applicable information has been captured. These files and data can be used for quantitative analysis and further research projects.
The COVID-19 Data Project’s newest creation, the Health Equity data track, is the first project of its kind collecting data on COVID-19 cases by race and ethnicity on the county level. The Equity teams conduct a monthly evaluation of every county in the United States and US territories to determine which counties are reporting their cases by race (in which the different options are White, Black/African American, Asian, American Indian/Alaska Native, Native Hawaiian/Pacific Islander, two or more races, Other, and Unknown) and ethnicity (in which the options are Hispanic (all races), Non-Hispanic, or Not Specified). After obtaining this information, the Equity teams begin documenting cumulative case numbers by race and ethnicity for each county on a daily basis. A quality assurance process is also implemented to ensure that the numbers have been reported accurately. This data can be used for quantitative analysis and further research projects.