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SUMMERTIME DATA NEW PREDICTIVE ANALYTICS PROJECTS

Summertime Analytics: Predicting E. coli and West Nile Virus

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Page 1: Summertime Analytics: Predicting E. coli and West Nile Virus

SUMMERTIME DATA NEW PREDICT IVE ANALYT ICS PROJECTS

Page 2: Summertime Analytics: Predicting E. coli and West Nile Virus

WEST NILE VIRUS CURTAIL ING VECTOR-BORN D ISEASES

Page 3: Summertime Analytics: Predicting E. coli and West Nile Virus

WEST NILE VIRUS • Between 5 and 884 human

cases reported annually in Illinois since 2002

• 2,371 confirmed human infections since 2002

• Most people who become infected with West Nile virus never develop any symptoms

• About 1 in 5 people who are infected will develop flu like symptoms

• Less than 1% of people who are infected will develop a serious neurologic illness

Page 4: Summertime Analytics: Predicting E. coli and West Nile Virus

WNV CYCLE

Mostly contained to birds and mosquitoes

Human and equine infections are essentially spillover

Page 5: Summertime Analytics: Predicting E. coli and West Nile Virus

PREVENTION • The Chicago Department of Public Health (CDPH)

uses a multi-pronged approach to fight the spread

of WNV

– Larvicide in stormwater drains

– DNA tests of mosquitoes (pictured)

– Spraying when WNV is present

Page 6: Summertime Analytics: Predicting E. coli and West Nile Virus

DNA MONITORING • At any given time there are 60+ traps in

Chicago collecting (mostly) Culex Pipiens and Culex Restuans mosquitoes

• The traps are collected twice / week

• Batches of up to 50 mosquitoes are DNA tested

• The data is published on https://data.cityofchicago.org/

• The results and model predictions are displayed in WindyGrid

Page 7: Summertime Analytics: Predicting E. coli and West Nile Virus

SEASONAL MODEL • We use a

generalized linear mixed-effects model

• Incorporates season and regional bias

• Predicts likelihood of WNV one week in advance

Page 8: Summertime Analytics: Predicting E. coli and West Nile Virus

WE WERE ABLE TO IDENTIFY WNV ONE WEEK IN ADVANCE IN OUT OF SAMPLE DATA 78%

OF THE TIME, AND OUR PREDICTION WAS CORRECT

65% OF THE TIME

Page 9: Summertime Analytics: Predicting E. coli and West Nile Virus
Page 10: Summertime Analytics: Predicting E. coli and West Nile Virus

CLEAR WATER FORECAST ING CHICAGO’S WATER QUAL ITY

Page 11: Summertime Analytics: Predicting E. coli and West Nile Virus
Page 12: Summertime Analytics: Predicting E. coli and West Nile Virus

CHICAGO BEACHES • More than 20 million visitors

• About 150 water quality exceedances

• Traditional tests, rapid tests, and predictive

analytics

Page 13: Summertime Analytics: Predicting E. coli and West Nile Virus

ACCURATE PREDICTIONS CAN PREVENT ILLNESS,

AND SAVE GOVERNMENTS MILLIONS OF DOLLARS.

Page 14: Summertime Analytics: Predicting E. coli and West Nile Virus

CIVIC COLLABORATION DePaul Student Interns ChiHackNight

Page 15: Summertime Analytics: Predicting E. coli and West Nile Virus
Page 16: Summertime Analytics: Predicting E. coli and West Nile Virus

• Rapid testing of

volatile beaches

• Strategic selection of

predictor beaches

• chicago.github.io/clear

-water

Innovative Science

Page 17: Summertime Analytics: Predicting E. coli and West Nile Virus

MODEL EVALUATION

0

10

20

30

40

50

60

70

80

Advisories Issued

Be

ach

Day

s

Benchmark

Hybrid Method

Page 18: Summertime Analytics: Predicting E. coli and West Nile Virus

MODEL EVALUATION

0

2

4

6

8

10

12

14

Hit Rate

Pe

rce

nt

Benchmark

New Model

Page 19: Summertime Analytics: Predicting E. coli and West Nile Virus

WATER QUALITY ADVISORIES ISSUED WITH 3 TIMES MORE ACCURACY

THEN PREVIOUS MODEL

Page 20: Summertime Analytics: Predicting E. coli and West Nile Virus
Page 21: Summertime Analytics: Predicting E. coli and West Nile Virus

D Work with civic technology

innovators to develop creative

solutions to city challenges

Page 22: Summertime Analytics: Predicting E. coli and West Nile Virus

Total hours dedicated to this project through volunteers, Chi Hack Night, and students.

1,000 HOURS

Page 23: Summertime Analytics: Predicting E. coli and West Nile Virus

GITHUB PUNCH CARD

Page 24: Summertime Analytics: Predicting E. coli and West Nile Virus

C Leverage data and new technology to

make government more efficient,

effective, and open

Page 25: Summertime Analytics: Predicting E. coli and West Nile Virus

OPENGRID 1.4.0 West Nile Virus project required the team to create

new maps for the team. Those changes were part of

OpenGrid 1.4.0 as a result, including the ability to

create “bubble maps”, static links to maps, and

more.

http://bit.ly/2vjJy2M

Page 26: Summertime Analytics: Predicting E. coli and West Nile Virus

THANK YOU

Contact Info:

Websites: Gene Leynes

Nick Lucius

[email protected]

chicago.github.io/clear-water

github.com/clear-water

github.com/west-nile-virus-predictions

data.cityofchicago.org