Assessing the Usefulness of Digital Contact Tracing Using Real-World Contact Data

File organisation File Name Contents #Rows Size each Format inside par000000_contact_h3_10.zip … par000003_contact_h3_10.zip H3-10 contact dataset 215 124 846 ≈ 425 MB part-*.csv, header row par000000_contact_h3_9.zip … par000017_contact_h3_9.zip H3-9 contact dataset 820 508 676 ≈ 562 MB part-*.csv, header row covid_infected_date_anonymized_h3_10.zip infection events at H3-10 resolution 7 415 87 kB single CSV (header) covid_infected_date_anonymized_h3_9.zip infection events at H3-9 resolution 8 026 94 kB single CSV (header) Schema Contact datasets (H3-9 & H3-10) Column Type Description o_s timestamp Start time of the contact episode (UTC) contact_duration_sec long Contact duration in seconds src_device_id int Hashed identifier of the source device dst_device_id int Hashed identifier of the destination device Infection look-up tables Column Type Description anonymous_id int Hashed identifier of an individual reported as infected date string Reported infection date (yyyy-MM-dd) All identifiers are irreversibly hashed; no personally identifiable information is present. Intended use Combine the infection look-up tables with the large contact graphs to: trace probable exposure chains, measure secondary attack rates, or validate SEIR-type simulation outputs against empirical spreading patterns.