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Reimagining Early Warning Systems for Infectious Disease 2021

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CoLab members create proposals

Sep 21, 2020 12:00 EDT - Jan 15, 2021 11:00 EST
Expert review
Jan 15, 2021 11:00 EST - Jan 22, 2021 11:00 EST
Voting period
Public Voting Period

Jan 22, 2021 11:00 EST - Feb 3, 2021 02:00 EST
Winners are awarded

Feb 3, 2021 02:00 EST
What technologies, tools, and methods can we use to establish reliable, reproducible, scalable early warning systems for detecting the arrival of or monitoring the spread of known or novel pathogens?

How can we stop infectious diseases from spreading? Large-scale, rapid testing and continuous disease monitoring play a crucial role in containing pandemics. Establishing early warning detection systems could be one way of tackling this. We need more efficient ways to facilitate regular population-level screening and new technologies to track disease seamlessly. 


How could we make diagnostic tests cheaper globally? How could we increase testing accessibility for rural areas? How could we identify new biomarkers of disease which facilitate disease monitoring? How can we integrate and interpret various types of surveillance data streams?  How could we combine this data with other digital signals? How could we use machine learning and artificial intelligence techniques for disease tracking and prediction? These are just some of the many questions that solutions could answer. Solutions could touch on the accessibility and effectiveness of diagnostic innovations, technologies employed, materials used, or even ways to change behaviors. You can pick one or you can mix and match.


Most promising solutions have the opportunity to network and plan with experts who are active in developing innovative diagnostic tools and technologies to improve disease monitoring.  

10 Contributions
RNA Wrapr is a Molecular Grade Transport Medium for COVID-19 sample collection aimed to replace the standard Viral Grade Transport Medium.
SYNSYS uses search trend data from public domain sources and analyzes it to predict viral outbreaks before they happen.
A device connected with the mobile phone that will be placed in all public city locations.
Big data pool on pathogen infection and immune response, combining global test results and providing AI backed computing for interpretation
We bring the next generations of smarter, intelligent face masks worldwide available to save lives!
By equipping vehicles with thermal sensors in the passenger cabins, the data could determine if there is an infection in the population.
Portable detection of air borne biologically relevant viral contaminants
Rather than try to detect pandemics. --Better to stop them before they spread away from the initial city. Airplane ventilation was cause.
How to combine QR codes, smart phones and smart masks?
Scanning the Sewage for virus and other transmissible Pathogens.