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TSA Screening Officer COVID-19 Interaction Archive
Patient Health Records & Digital Health
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About
Modelling potential interactions between healthy individuals and those carrying COVID-19 is a fundamental aspect of predicting and responding to global health crises. This data focuses on the domain of air travel, specifically identifying domestic flights in the United States where passengers may have come into contact with a COVID-19-positive TSA Screening Officer. By cross-referencing public TSA records of infected personnel with airline schedule information and historical load factors, these records highlight flights that departed from terminals where an infected officer was on shift during their presumed incubation period. This resource provides a vital layer of information for understanding viral transmission paths within the aviation industry during the early stages of the pandemic.
Columns
- origin_airport: The unique three-letter code representing the airport from which the flight originated.
- dest_airport: The unique three-letter code for the flight's intended destination airport.
- departure_time: The actual time the flight departed, recorded in a 24-hour date-time format.
- flight_number: The specific numerical designation assigned to the flight by the carrier.
- departure_terminal: The specific terminal at the origin airport where the flight boarded; a value of 0 indicates the terminal was imputed from other sources.
- carrier_code: The standard two-letter identification code for the airline carrier.
- carrier_name: The full legal or trading name of the airline operating the flight.
- date: The calendar date on which the flight took place.
- flight_departed: A boolean indicator (1.00) confirming that the flight successfully took off.
- number_seats: An estimate of the total potential passengers on the flight, derived from historical seating and load factor statistics.
Distribution
The data is provided in a single CSV file titled
Flights_with_TSA_Contact.csv, with a total file size of approximately 3.11 MB. The record set includes 13,900 valid entries across various metadata fields. The data demonstrates high integrity with 100% validity for airport codes, carrier information, and departure status. It is a static historical release with no further updates expected.Usage
This resource is ideal for epidemiologists and researchers looking to build statistical machine learning models regarding the spread of infectious diseases. It is well-suited for analysing the correlation between staff infection rates at major transport hubs and subsequent regional outbreaks. Additionally, data scientists can use the flight and passenger estimate details to conduct risk assessment simulations for public transport networks during a health emergency.
Coverage
The geographic scope is restricted to domestic flight routes within the United States. Temporally, the collection spans the critical early window of the pandemic, from 1 March to 14 April 2020. The demographic focus is on passengers and TSA baggage or screening officers, particularly those working shifts at terminals in major hubs like JFK and ORD.
License
CC BY-NC-SA 4.0
Who Can Use It
Public health officials can leverage these records to trace the movement of potential virus carriers across the national aviation network. Academic researchers may utilise the combined TSA and airline schedule data to study the impact of workforce infections on essential infrastructure. Furthermore, transport analysts can use the departure and terminal information to develop better safety protocols for airport personnel and travellers in future scenarios.
Dataset Name Suggestions
- US Domestic Flights: COVID-19 TSA Personnel Exposure Log
- Pandemic Air Travel Contact Registry (March-April 2020)
- TSA Screening Officer COVID-19 Interaction Archive
- US Aviation Viral Transmission and Exposure Data
- 2020 Flight Exposure Index: TSA Personnel Contact Points
Attributes
Original Data Source:TSA Screening Officer COVID-19 Interaction Archive
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