Airline Passenger Importation Risk for COVID-19 in India, March 2020

Over 180,000 flights and 39.9 million passenger seats were analyzed from the FLIRT airline database between March 4th and 25th, 2020. Researchers from the Indian Institute of Technology Madras used this data to assess the risk of importing COVID-19 cases into India via international travel. The analysis found the highest risk index originated from Middle Eastern airports, contrary to initial perceptions about travelers from China.

Use Cases

• Modeling disease importation risk based on international passenger flow data.
• Assessing the effectiveness of airport screening strategies for specific origin or transit hubs.
• Analyzing the correlation between flight volume from specific regions and domestic case growth.
• Identifying high-risk travel corridors for targeted public health interventions.

Strengths

• Analyzes a specific and critical time window (March 4-25, 2020) at the pandemic's onset.
• Draws from a substantial underlying data source covering over 800 airlines and 39.9 million passenger seats.
• Provides a clear, origin-based risk assessment with a counter-intuitive finding regarding China.

Limitations

• The underlying dataset (rows, columns, file format) is not described, making suitability assessment difficult.
• The data is a static snapshot from a specific historical period and may not reflect current travel patterns.
• Column-level documentation is absent; field semantics must be inferred from the paper's description.

Provenance

Source

FLIRT online airline database.

Collection Method

Data extraction and scanning of flight and passenger seat records.

Time Range

March 4, 2020 to March 25, 2020.

Freshness

Last update date is unknown; data reflects a specific period in early 2020.

Geography

International flights arriving in India, with focus on origins in China, the Middle East, Europe, and the USA.