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Covid-19 open data framework (Exposure (population) Characteristics of…
Covid-19 open data framework
Exposure (population)
Characteristics of the
population exposed
Population size
Spatial distribution
Age structure
Labour
Health
Wealth
Immunized or vaccinated
(no data as research still ongoing )
Dwelling type
Hazard
Characteristics of the epidemic
Real-time statistics
Cases
Deaths
Tests
Recovered
Excess mortality
Infered
Basic reproduction number (R0)
Case fatality rate (CFR)
Research outputs (virology, epidemiology, etc.)
Mitigation
Policy measures taken
to reduce risk
Economic measures
Safety net
Fiscal
Monetary
Loans and guarantees
Insurances
Debt relief
Contact tracing
(on the ground investigation, geodata. bluetooth app)
Social distancing and movements restrictions
(closure of shops. schools, transports, cancellation of cultural and sport events, borders closure, lockdown, etc.)
Vulnerability functions
How easily and severely a given population type
or a given economy can be affected
Risk and Impact assessment
Evaluation of potential population and economic losses as a function of other parameters
Epidemic models
Risk and Impact assessment outputs
Base map
Base map incl. health facilities, schools, streets and public spaces
Administrative boundaries
Address register
Building footprint
Exposure (economy)
Characteristics of the
economical assets exposed
Companies
GDP
Trade
Coping capacity
Capacity of the health care system
to manage and respond
Quarantine facilties
Protective equipment (masks, gloves, etc.)
Healthcare workers
Beds (of which ICU)
Medical equipment (ventilators, respirators, oxygen cylinders and concentrators, etc.)
Health facilities (MFL)
Drugs