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7/31/2015
1
Anita C. Anderson
NEHA Annual Educational ConferenceJuly 15, 2015
Acknowledgments
Clean Water Council – Clean Water FundMDH Drinking Water Protection Section: manager, supervisors, staff MDH Public Health Lab Laboratory for Infection Disease and Environment (USDA-USGS Lab) DWP district engineers and field sanitarians USGS Minnesota Water Science CenterUSDA-ARS - Dr. Mark Borchardt
MDH Study Team: IDEPC -Trisha Robinson, Amber Koskey DWP - Anita Anderson, Lih-in Rezania, Jim Walsh Dane Huber, Jared Schmaedeke, Trisha Sisto
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Clean Water, Land and Legacy
Amendment 2008
• 3/8% sale tax increase • Clean Water Fund: 33%
• Drinking Water: >5% CWF
Overview
�Background of the study
�Study design and objectives
�Phase I virus monitoring
�Phase II virus monitoring & community illness (Epi) study
�Preliminary findings
�Questions
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Why viruses?
�Waterborne viral illness outbreaks have been associated with groundwater sources
�National surveys have shown that approximately 30 percent of drinking water wells may be contaminated with human pathogenic viruses (AWWARF study).
Why viruses?
� It is unknown whether these viral contaminants are responsible for a significant portion of endemic (non-outbreak) illness, or if they are responsible for outbreaks with no known cause
�Viruses are not monitored routinely and behave differently than bacterial indicators
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Why viruses?
Bacteria Viruses
Size Small (1000nm)
Smaller (20 -400nm)
Electrical Charge
Varies across cell
Negative
Maximum Lifetime in Groundwater
About 1 year Up to 3 years
ObjectivesCWF Purpose To develop and implement a groundwater virus monitoring plan, including an epidemiological study to determine the association between groundwater virus concentration and community illness rates.
MDH PurposeTo build on previous efforts aimed at determining the public health risk due to virus contamination of drinking water, and to formulate strategies and refine existing tools to reduce the risk.
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A Phased Monitoring Approach� Phase I- Virus Occurrence Assessment
�One year, bi-monthly monitoring
�Non-disinfecting , year-round, CWS and NTNCWS
�82 Public Water Supply Wells “randomly" selected
� Phase II- Targeted Microbial Risks & Groundwater Assessment Monitoring Scoring Tool Evaluations
� Human Enteric Viruses and a Suite of Indicators
� Two main questions:
� Are there viruses in our groundwater?
� Are the viruses making people sick?
� Monitoring 6 water supplies weekly for viruses
� Enrolling community members to submit weekly health surveys
� May 1, 2015 – April 30, 2016
Minnesota Water and Virus Evaluation Study
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Groundwater Assessment
Monitoring Scoring ToolWell Scoring Criteria
� Geologic Sensitivity
� Saturated Casing Value
� Age Dating
� Nitrate > 1 ppm in 5 Yrs.
� Inner Wellhead Management Zone (IWMZ) Pathogen Source
� Confirmed Coliform in 5 Yrs.
� Surface Water Characteristics
Groundwater Category
A Rapid Recharge
B
Fecal Waste Impacted – B1
Mineral Fertilizer Impacted – B2
Road Salt/Water Softener
Impacted – B3
Post 1953-Impacted Non-pathogen – B4
CPost – 1953
Un-impacted
D
Pre – 1953
Impacted Non-Pathogen - D1
Pre -1953 Vintage - D2
E Saline
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Site Selection (Phase 1)� Year-round PWSs
� Non-disinfecting
� 567 PWSs
� 243 CPWSs
� 324 NTNCPWSs
� Random selection
� 82 PWSs/Wells
� 14.5% candidate PWSs
Indicators/Water Quality� TC/E. coli (MPN-QT)
� Enterococci (MPN-QT)
� Ammonia
� Chloride
� Bromide
� Nitrate (NO2 + NO3)
� TOC
� Boron
� Tritium (3H)
� Stable isotopes: 18O & 2H
� Temp
� pH
� Conductivity
� D.O.
� ORP
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Virus Sampling and Analysis� Laboratory for Infection Disease and
Environment (LIDE) � qPCR with a small subset of cell culture � Some DNA sequencing in Epi-Study� Human Enteric Viruses
� Adenovirus Group A� Adenovirus Group B � Adenovirus Groups C, D, and F� Enterovirus� Norovirus GI & GII� Hepatitis A� Human Polyomavirus� Rotavirus
� Pepper Mild Mottle Virus
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Backflush
Ultrafilter Freezer bottle
2° Concentration XNA Extraction
Inhibition
RT-PCR qPCR
1 mL aliquots cDNA
Minnesota Department of Health Study Work Flow
Data
XNA
Virus Monitoring Results42 Wells have had at least one detection (51%)
399 samples analyzed, 13.3% (53) with viral detection(s)
1920
2 3
9
23.224.4
2.53.9
11.7
0
5
10
15
20
25
30
May/Jun Jul/Aug Sep/Oct Nov/Dec Jan/Feb
# Positive Samples
% positive
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Virus Detect frequencies for rounds 1 - 5
Virus type Round 1 Round 2 Round 3 Round 4 Round 5
Adenovirus group A 0 0 0 0 0
Adenovirus group B 0 0 0 0 0
Adenovirus groups C, D, F 11 5 0 0 3
Enterovirus 4 1 0 0 2
GI Norovirus 0 0 0 0 0
GII Norovirus 0 0 0 2 2
Hepatitis A Virus 0 0 0 0 0
Human Polyomavirus 2 5 0 0 0
Pepper Mild Mottle 4 13 2 0 5
Rotavirus A 1 2 0 1 0
Total Positive Samples 19 20 2 3 9
# of Positive samples
aThis number is less than the sum of virus types because some
samples were positive for two or more viruses.
42 wells have had at least one detection (51.2%),32 wells (39%) have had at least one detection of human enteric viruses
Enterococci Detects: 0 TC/E. Coli. Detects: 15 (3.1%)
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First 5 Rounds of Microbial
Monitoring Results
2120
31
27
22
10
5
0
5
10
15
20
25
30
Viral/Bacteria (48) Viral (42) Bacteria (13) Viral + Bacteria (6)
Community PWS (37)
NTNC PWS (45)
Groundwater Characterization vs.
Microbial DetectionsGroundwater
Characterization
# of Wells
in Study
# of Wells
Any Detect
Micros Detect
(% of wells
with detects)
A 5 2 40%
B 32 14 44%
C 13 5 38%
D 32 13 41%
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Phase I Monitoring Findings� A sound study approach to evaluate virus
occurrence
� Similar occurrences between the Community and the Non-Community Wells
� 13.3% of samples with viral detection(s)
� Estimating a 40+% occurrence rate for the enteric viruses
� Wells previously thought not vulnerable appear to be susceptible to virus
� Results seem tied to recharge events
Possible Reasons for High
Occurrence Rates
� Extreme weather: heavy snowpack in April, wettest June in MN history
� Frequent sampling: bi-monthly, includes winter months
� Techniques:
� High volume, 300 - 800 liters; average 750 L/sample
� Dead-end UF filters
� Improved lab techniques - qPCR
� Covered more viruses than many other studies
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Possible High Speed Low Volume Pathways
Need to change our thought process?
� Random selection with high occurrence rate was unexpected
� Improved testing techniques mean we will continue to find more contaminants
� Wells we thought not vulnerable appear to be susceptible to virus:
� Well construction
� Low volume, fast pathways
� Land use/sources of contamination
� Travel/survival different than bacteria
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� Traditional indicators not predictive
� Requires a suite of water quality and environmental parameters
� Health Risk
� Are the viruses making people sick?
� What is risk relative to other exposures?
Need to change our thought process?
Anita [email protected]