MIT COVID-19 Hackathon Winners Track F

MIT COVID-19 Hackathon Winners Track F

@pranavnadimpalli

4 Followers

1 week ago 224

Science

MIT COVID-19 Hackathon Winners Track F

@pranavnadimpalli1 week ago

“The future
belongs to
those who
PREPARE
for it”
RALPH
WALDO
EMERSON

1/15

An Undeniable Truth
COVID-19 is not the last pandemic of our lifetimes.
We had since 2011 after t…

2/15

The Future of
Pandemic Surveillance
Near-real-time feedback and data analysis
Reusable, replicat…

3/15

WASTE-WATER BIOSENSORS
AS AN EARLY WARNING SYSTEM
FOR PANDEMIC SURVEILLANCE

4/15

Fecal samples are best suited for
large-scale community surveillance
Viral RNA is observed for mu…

5/15

Wastewater Testing : Biosensor vs RT-PCR
No man power
needed after the
initial setup
Need to ga…

6/15

LSPR Biosensor: A Schematic
Cost Estimate Time of Use
Reusable for
all future pandemics!
50-80 …

7/15

Automated Wastewater Biosensor: A Schematic

8/15

Wastewater Biosensor Network At National Scale
Low-Risk
Zone
High-Risk
Zone
We place biosensor…

9/15

LIMITATIONS OF OUR METHOD
QUANTITATIVE PREDICTION
A quantitative assessment of virus
spread is n…

10/15

S
martlock-downs, informedpublic
policydecisions,bold leadership
Predictingfuturewavesofoutbreak…

11/15

moderate start-up costs
low overhead costs
minimal energy usage
all materials are recyclable
SU…

12/15

Find useful biomarkers
in genome of pathogen;
Design the LSPR chip
PHASE 1
Install sensors in a…

13/15

The Next Big Pandemic
Our lack of pandemic preparedness has caused irreparable
damages to our com…

14/15

References
Qiu, Guangyu, et al. "Dual-functional plasmonic photothermal biosensors for highly accu…

15/15

@pranavnadimpalli

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Comments 1 Info

- @jonatjaunt
- 1w
I followed wastewater data closely during covid! especially after they stopped testing there was no other way.

MIT COVID-19 Hackathon Winners Track F

@pranavnadimpalli

This presentation discusses the critical need for an effective pandemic surveillance system, emphasizing wastewater biosensors as a key tool for early detection. By integrating these sensors into local communities, we can achieve real-time data collection and improve public policy decisions, ultimately enhancing our preparedness for future pandemics. The approach is scalable, reusable, and eco-friendly, ensuring sustainable monitoring.

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