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Busan City COVID-19 Patient Trajectories
Patient Health Records & Digital Health
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About
This data product offers a detailed view of COVID-19 patient paths and infection contexts within Busan City. The dataset is crucial for researchers and public health officials aiming to understand and model viral propagation, particularly concerning asymptomatic infections and the identification of contaminated areas. It tracks patient routes, infection origins, and key demographic details over time, allowing for rapid identification and mitigation of local infection chains. A key feature is the inclusion of religion as a specific type of infection factor, enabling specialized analysis of unusual spread events.
Columns
The structure includes three primary hierarchical categories within the
Busan_Patient_Path.json file:- patient_info: Contains core demographic and residential details. Fields include
patient_id(provided by Busan city),age,sex,country,religion(categorized as “ShinCheonJi”, “Catholic”, or “-”),residential_info,city,district,latitude, andlongtitude. - infection_info: Describes how and where the infection occurred, along with isolation details. Fields include
Infection_Place(with name, latitude, and longtitude),Infection_type(e.g., “family”, "friend“, "place”, “religion”, "other"),Infection_factor(number of contactor), andIsolation_place(with name, latitude, and longtitude). - Route: An array detailing the movements of the patient. Fields include the place
name(visit place name),latitude,longtitude,start_time(arrival time), andend_time(departure time).
Distribution
The dataset is structured as a hierarchical time-series information model. The primary format for the provided file,
Busan_Patient_Path.json, is JSON. The dataset includes a confirmatory line over time. Specific details regarding the exact number of rows or records are not available.Usage
Ideal applications for this dataset include:
- Epidemiological Modelling: Studying the change in virus spread cases at the city level.
- Contact Tracing Enhancement: Quickly identifying contaminated areas and minimizing additional infections.
- Specialised Spread Analysis: Investigating the unusual spread of the virus caused by specific religious activities.
- Relationship Mapping: Determining the connections between various patients based on infection type (e.g., family, friends, place of origin).
Coverage
The data focuses exclusively on Busan City, Korea. It provides detailed geographic coordinates (latitude and longitude) for patient residency, infection locations, isolation facilities, and travel routes. The scope covers the infection paths of identified patients during the period of virus spread.
License
CC0: Public Domain
Who Can Use It
- Public Health Officials: To implement targeted prevention strategies and quickly identify localized outbreaks.
- Data Scientists and Analysts: For developing visualisations and analytical frameworks, such as the associated web application developed for visualizing the local infection situation in a time series (http://corona-busan.co.kr).
- Researchers: To study regional variations in viral propagation patterns and the impact of specific factors, such as large gatherings.
Dataset Name Suggestions
- Busan City COVID-19 Patient Trajectories
- Korea Local Infection Path Data
- Busan COVID-19 Time-Series Patient Routes
- City-Scale Contagion Dynamics (Busan)
Attributes
Original Data Source: Busan City COVID-19 Patient Trajectories
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