AI for Future Pandemics

1. Committed to solving limited detection and rapid prevention of future pandemic/similar coronavirus virality rates

2. Proposing a AI/ML algorithmic solution, enabling data correlated tracking, detection and prevention to mitigate pandemic adverse events. 

3. Would enable a transdisciplinary, multi-stakeholder engagement and proactive collaboration, facilitating policy changes and innovative discplinary practices on a macro-level scale

The specific problem associated with the early virality, prevention and detection measures implemented in response to COVID-19. 

COVID-19 is referred to as a ‘respiratory illness caused virus with symptoms including a sore throat, coughing and fever that was first reported in Wuhan, China [Australian Department of Health, 2020]. Current detection practices such as those adopted in Australia include, temporary general practitioner-based respiratory clinics as well as optional testing facilities through local general practitioners [Ibid, 2020]. In combination with detection practices, self-isolation measures are instructed in public and private locations for the wellbeing and safety of the Australian community despite persistent infection rates steadily decreasing.

The solution utilises AL/ML algorithmic data collated from public databases in conjunction with analytical tools such as Google Analytics to further estimate cluster and potential virality locations of potential pandemics. The solution uses processes of extraction, obtainment and collation of existing pandemic data in synthesis with search term timeframes and location-specific data to mitigate, alert and identify the stakeholders impacted. 

The solution serves the general public, mutli-technology organisations such as Google, IBM, scientists and specialists within the pandemic fields in research and development. Essentially, the solution impacts individuals, organisations, businesses and external stakeholders on a transdisciplinary level. To understand the needs of the target population, research in continually been undertaken to gain a rich insight into the various perspectives and onboarding of the solution development. The solution addresses the needs of the general public, technology organisations and specialists within the field to enable preventative measures and quick responsiveness to potential pandemic clusters and quickly identifiable origination of future pandemics.

The complex problem and solution development relates strongly to the Challenge in consideration of the current COVID-19 context, from an empathetic and transdisciplinary focus that is needed to mitigate risks and potential future pandemics from proactively becoming viral. The solution and the solution target are closely linked to the challenge to iterate the importance of mult-stakeholder engagement, collaboration and promotion of proactive measures that can be undertaken to effectively mitigate the risks associated with pandemic virality and poor detection awareness.