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COVID-19 Testing Site Need Analysis Data
Patient Health Records & Digital Health
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About
Data provides metrics utilized in an analysis designed to identify optimal locations for establishing two temporary COVID-19 testing centres within the United States. The material is structured in two parts: state-level data for 26 US states to pinpoint target regions, and subsequent county-level data for Georgia (GA), Minnesota (MN), and Massachusetts (MA) to select specific placement sites. The initial state selection focused only on states where the pandemic's peak date had not yet passed as of 15 April. The metrics cover demographic characteristics, economic status, and existing testing site infrastructure relative to case counts.
Columns
The state-level data includes 8 distinct columns:
- State: The name of the state (26 unique values, 100% valid).
- Peak Date: The projected date of the pandemic peak, where May 2nd and April 29th were the most common dates.
- Days from April 15th: The number of days between April 15th and the peak date, with a mean of 15 days and a maximum of 22 days.
- Median Age: The average age within the state, ranging from 30.7 to 42.4, with a mean of 38.
- Median Annual Household Income: The household income figure, with a mean of 58k, ranging from 43.5k to 77.8k.
- Population: The total population, with a mean of 5.51 million and a maximum of 27.9 million.
- Number of Test Centers: The count of existing testing centres, with a mean of 35 and a maximum of 140.
- Total Cases: The cumulative case count, averaging 5.18k, with a maximum recorded value of 26.9k.
Distribution
The information is available in a CSV file titled
COVID-19 Full Dataset.csv, which is 1.4 kB in size. The dataset consists of 26 valid records across 8 columns. Data quality is excellent, as all listed columns are 100% valid with zero missing or mismatched entries.Usage
This resource is ideally suited for location analysis, epidemiological modelling, and planning the deployment of public health resources during an outbreak. It allows analysts to determine resource needs by comparing demographic factors like median age and income against infection and testing rates. The data was specifically used to address infrastructure gaps in states facing an imminent peak in COVID-19 cases.
Coverage
The geographic scope includes state-level data for 26 US states and county-level data for Massachusetts, Minnesota, and Georgia. The analysis focuses on metrics relevant to the period leading up to and immediately following April 15th, when the state peak dates were evaluated. Key inputs include median income, median age, existing testing sites per capita, and total cases per capita. The resource is static and is not scheduled to receive future updates.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for public health researchers, policy analysts, city planners, and data scientists interested in applying spatial analysis and predictive modelling to public safety issues. It has a high usability rating of 10.00.
Dataset Name Suggestions
- COVID-19 Testing Site Need Analysis Data
- US State and County Pandemic Planning Metrics
- Target State Testing Infrastructure Evaluation
Attributes
Original Data Source: COVID-19 Testing Site Need Analysis Data
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