Category : Health

Partner Organization (Required) : World Health Organization and local governments

Problem/Need :  To identify the level of COVID-19 immunity barrier of a localised population in order to manage containment and social distancing pressure  To allow individual to measure at what level she/he is facing a risk of been infected with COVID-19 and to have complication

Proposed Solution : To develop and promote a collaborative app where people will fill-in with their personal datas that will generate anonymised local statistics to identify level of immunity barrier in a area and individual risk scale status. Datas typology’s:

1. Confirmed COVID-19 infection (positively tested with COVID infection and serology)
2. Supposed COVID-19 infection (for example, ask questions to define if => exposure to someone infected, feeling of similar symptoms)
3. Profiling scale of risk of been infected with COVID-19 and have complication identifying all known criterias (for example: age, gender, medical history, smoker, lifestyle, …)
4. Geolocalisation

Thanks to IA, the app will also provide real world evidence on COVID-19.

Inspiration

• Localization COVID-19 apps
• Difficulty to aggregate epidemiological datas
• Emergency to progressively remove lockdown
• Home locdown

Challenges

To be efficient the app need to be massively adopted in an area

Built With

• ai
• datalake
• predictivedatascience