JUNE

JUNE simulates high-resolution agent-based transmission dynamics of infectious diseases by modelling social interactions within a demographically detailed virtual population.

Key Features:

• Agent-based transmission modeling: Models individuals and their interactions to simulate transmission dynamics at high resolution.
• Census-derived demographic synthesis: Uses geographically granular census data to construct demographic profiles with age, sex, ethnicity, and socio-economic indicators.
• Social context grouping: Organizes interactions into groups such as households, schools, workplaces, and other social activities.
• Social mixing matrices: Employs social mixing matrices to represent interaction patterns and contact rates across social contexts.
• Disease parameterization: Provides parameterizations describing modes of transmission and effects on infected individuals.
• Validation against COVID-19 data: Reproduces reported hospital admission and mortality statistics for COVID-19 in England at national, regional, and age-stratified levels.

Scientific Applications:

• Epidemic simulation: Simulates the spread and transmission dynamics of infectious diseases within a demographically detailed virtual population.
• Epidemiological analysis: Generates outputs for analysis of hospital admissions and mortality across national, regional, and age strata.
• Public health planning: Supports epidemiological research and public health planning, including evaluation of scenarios relevant to COVID-19 in England.

Methodology:

Constructs demographic profiles from geographically granular census data, organizes individuals into groups (households, schools, workplaces, other social activities), employs social mixing matrices to model interactions, and parameterizes diseases by modes of transmission and effects on infected individuals.