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Reimagining Early Warning Systems for Infectious Disease

11 days until Contribute ends
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CoLab members create proposals

Sep 21, 2020 12:00 EDT - Dec 4, 2020 11:00 EST
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Dec 4, 2020 10:00 EST - Dec 4, 2020 11:00 EST
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Public Voting Period

Dec 4, 2020 11:00 EST - Dec 18, 2020 12:00 EST
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Dec 18, 2020 12:00 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.  

2 Contributions
Nov 7, 2020
Team only
How to combine QR codes, smart phones and smart masks?
Oct 2, 2020
Team only
By equipping automobiles with thermal sensors in the passenger cabins, the data could determine if there is an infection in the population.