COVID-19 Epidemiological Survey Data containing over 40,000 COVID-19 cases from five Asian countries to reconstruct transmission chains between individuals in households and communities.

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Kent, Medway & Sussex SDE

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https://icoda-research.org/project/dp-chain/

This line-list dataset contains confirmed COVID-19 cases with specific information that can link them to others, such as close contacts and cooccurrence in the same place. The linkage information can be used for transmission chain reconstruction. The data are curated from the publicly available case reports disclosed by global governments or collected from published studies.


Please acknowledge Dr. Xiaofan Liu and the DP-CHAIN team if you use this dataset.

HDR UK

Curated dataset used for DP-CHAIN project

DP-CHAIN global transmission chains

demographics_gender

demographics_age

demographics_profession

demographics_nationality

demographics_province

demographics_city

events_report_city

The country or region where the case was reported

events_report_country

Date the case was published by authorities

events_report_date

Departure country or city if the case has travel history. If the "last possible date" was logged in a Singapore case, the departure is Wuhan.

travel_departure_place

Transit country or city if the case has travel history

travel_transit_place

Destination country or city if the case has travel history

travel_destination_place

Date of arrival at the destination if the case has travel history

travel_arrival_date

Whether the case had Wuhan travel history

travel_wuhan

Whether the case is a imported or local case

travel_imported

The transmission direction was clearly indicated. Can be considered ground truth.

infector_id

Contacts without direction of infection. Multiple contacts are separated by commas.

contact_id

contact_relation

E.g., restaurant gathering/tourist group. For the Italy data, 1=direct contact, as reported by the subject, 2=indirect contact (i.e. contact with a subject who had direct contact), 3=inferred contact (i.e. inferred from household)

contact_place

There can be multiple cases belonging to the same cluster.

cluster_id

E.g., Sporadic imported / Sporadic local / Cluster of imported cases / Cluster initiated by local case / Cluster initiated by imported case / Household. Refer to Hong Kong and Italy cases for details.

cluster_type

E.g., primary/secondary/tertiary/quaternary/secondary.generation.1/secondary.generation.2/tertiary.generation.1/quaternary.generation.1. Refer to the Hong Kong cases and Hunan cases for details.

cluster_generation

Possible exposure scenarios to infection, without specifying specific contacts, e.g., Workplace/social place/home/public transportation/public place/school/indoor/outdoor

exposure_place

See Kaggle https://www.kaggle.com/kimjihoo/coronavirusdataset?select=PatientInfo.csv for details

exposure_number

The earliest possible exposure date to the virus

exposure_earliest_date

The latest possible exposure date to the virus

exposure_latest_date

The most likely exposure date date to the virus

exposure_possible_date

symptoms_onset

symptoms_onset_date

symptoms_type

symptoms_severity

E.g., self-discovered or discovered by passive methods, such as during close contact screening

COVID-19 Transmission Chains for using Epidemiological Survey Data from Asia

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