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Microbial Risk in a
Hypothetical Indian
River
QMRA Workshop, Drexel university
Woo Hyoung Lee, Qiaozhi li,
Sharada Prasad, Matthew Verbyla

1/10/14

1
Objective
Stream AA (near Delhi,
India) is polluted with
domestic wastewater and
surface runoff from Village
BB.
Objective: Assess
microbial risks for
drinking, swimming, and
1/10/14
irrigating spinach and

2
Hazard (I): Vibrio
• Comma-shaped, gram-negative bacillus (1-3µm(L)x 0.5-0.8µm(D))
• Infection: Fecal-oral transmission by food or water supply
• 2nd transmission: seasonal effect  dense population ↑
• Symptom/Disease: Diarrhea, dehydration, hypovolemic shock/death
• Incubation time: 4hrs-5 days (avg. 2-3 days)
• Mortality rate: <1% (treated), >50% (untreated)
• 0.5 cases/106 population (U.S., 2003-2008)

1/10/14

3
Hazard (II): Shigella
• Rod-shaped, gram-negative bacteria
• Infection: person-to-person contact , contaminated food and water
• 2nd transmission: mass outdoor gathering (+) vs. handwashing (-)
• Symptom/Disease: Diarrhea, dysentery, acute colitis
• Incubation time: 1-4 days
• Mortality rate: <1% (developed country)
20-25% (East & Middle East)
• 3.8 cases/106 population (U.S., 2010)
1/10/14

4
Hazard (III): Salmonella
• Rod-shaped, gram-negative enterobacteria (2-5µm(L)x0.7-1.5µm(D))
• Infection: Ingestion of bacteria in contaminated food or water
• 2nd transmission: direct contact (e.g., laundry personnel)
• Symptom/Disease: Diarrhea, fever, and abdominal cramps
• Incubation time: few hrs- 1 day
• Mortality rate: 400-600 deaths/year (U.S., 2007)
• 1.4 million infection/year (U.S., 2003-2008)

1/10/14

5
Exposure Assessment

What do we know about this location?
The concentration of fecal
coliforms in this river is
1.5x107 (SD = 800)
At least one town discharges
raw wastewater to the river

1/10/14

People living 5km downstream of the
point of sample collection in this river
Drink from it (no treatment)
◦
Bathe in it 2x/week (May – August)
◦
Use it to irrigate cucumbers & spinach
◦

6
Concentrations of Bacterial
Pathogens and Pathogen Indicators
CFC = 1.5e7 MPN/100ml (SD =
8.0e2)

1:58,100

1:35,200
1:418,000

1/10/14

CSalmonella = 1.5e7 / 58,100 = 258
iMPN/100ml
(SD = 0.014)
CShigella = 1.5e7 / 418,000 = 36 iMPN/100ml
(SD = 0.002)
CVibrio = 1.5e7 / 35,200 = 426 iMPN/100ml
(SD = 0.023)
7
Exposure Assessment
(Swimming and Drinking)
Pathways
Drinking
untreated water
Swimming
(accidental
water ingestion)
[1]

Exposed
Subgroup

Quantity Ingested
per event1

Calculation:
Dose per Event

Frequency
(events/year)

Everyone

2 liters

=
CFC/fFC:path·(2000ml)

350

Adults

80 ml
(20 ml/hr, 4 hrs)

=
CFC/fFC:path·(100ml)

32

Children

200 ml
(50 ml/hr, 4 hrs)

=
CFC/fFC:path·(200ml)

32

U.S. EPA. Highlights of the Exposure Factors Handbook (Final Report). U.S. Environmental Protection Agency, Washington, DC,
EPA/600/R-10/030, 2011.

1/10/14

8
Exposure Assessment
(Consumers & Producers of Crops)
Pathways
Working in
the field

Exposed
Subgroup

Quantity Ingested
per event3

Calculation:
Dose per Event2

Frequency
(events/year)

Farmers

100 mg
soil

=
CFC/fFC:path·φ·(0.1/ρ)

50 – 125

=
Consumers
100 g
CFC/fFC:path·Vcuc·(10
50 – 150
cucumber
Consuming crops (cucumber)
0g)
irrigated with
=
river water
Consumers
100 g
CFC/fFC:path·Vspi·(10
75 – 225
(spinach)
spinach
[2]
Hamilton, A. J., et al. (2006). Quantitative Microbial Risk Assessment Models for Consumption of Raw Vegetables Irrigated with
0g)
Reclaimed Water. Applied & Environmental Microbiology, 72(5), 3284–3290. Vcuc ~ N(0.108,0.019)ml/g; Vspi ~ N(0.0036,0.0012)ml/g
[3]

Mara, D.D. (2008). Quantifying health risks in wastewater irrigation. UNESCO Encyclopedia of Life Support Systems. EOLSS
Publishers.

1/10/14

9
Dose Response
Agent

Best fit
model

Salmonella
anatum

β-Poisson

Salmonella
meleagridis

β-Poisson

Salmonella
Typhi

β-Poisson

Shigella
flexneri

β-Poisson

Vibrio
cholerae

β-Poisson

1/10/14

Optimized
parameters
α=3.18E-01,
N50=3.71E+0
4
α=3.89E-01 ,
N50=1.68E+0
4
α=1.75E-01,
N50=1.11E+0
6
α= 2.65E-01,
N50=1.48E+0
3
α= 2.50E-01,
N50=2.43E+0
2

LD50/ID50

Host

Route

Dose units

endpoint

3.71E+04

human

oral, with
eggnog

inferred
MPN/ml

positive stool
culture

1.68E+04

human

oral, with
eggnog

inferred
MPN/ml

infection

1.11E+06

human

oral

inferred
MPN/ml

disease

1.48E+03

human

oral(in milk)

inferred
MPN/ml

positive stool
isolation

2.43E+02

human

oral (with
NaHCO3)

inferred
MPN/ml

infection

10
Fate & Transport Model
Assumptions
Flow
Maximum Velocity
velocity:
m/s
1.66E+00

Minimum Velocity
m/s
5.50E-02

Reference on Velocity
Mamta Rani, 2013
5km

Travel Time (= Distance/Velocity):
Minimum Transportation Time
hr
8.37E-01

Maximum Transportation time
hr
2.53E+01

Decay Rate:
Pathogen

Distribution

Median

St. dev for log(UF)

Reference

Salmonella spp.
Shigella spp.
Vibrio cholerae

log-Normal
log-Normal
log-Normal

9.59E-03
4.40E-03
2.27E-03

1.40E+00
1.80E+00
1.80E+00

John, 2005
Henis, 1987
Ramaiah, 2004

1/10/14

Concentration at DD =
Concentration at BB * EXP(-Decay
Rate*Transportation Time)
11
Fate & Transport

<1 log reduction in
all scenarios during
transport 5km
downstream

1/10/14

Pathogen
Salmonella
Shigella
Vibrio

Log Reduction
0.003 (high flow)
0.105 (low flow)
0.002 (high flow)
0.048 (low flow)
0.001 (high flow)
0.025 (low flow)
12
Risk Characterization – Bathing
(Assume no decay)
Risk Per Event

1/10/14

Annual Risk

13
Risk Characterization – Eating
Cucumber
(Assume no decay)
Risk Per Event

1/10/14

Annual Risk

14
Risk Characterization – Farming
(Assume no decay)
Risk Per Event

1/10/14

Annual Risk

15
Summary of Risk Characterization
Annual Median Risk
Pathway

(given certain pathogen reductions)

Exposed Subgroup

No reduction

1-log

2-log

3-log

4-log

Drinking water

Everyone

>99%

>99%

>99%

>99%

99%

Swimming
(accidental water
ingestion)

Adults

>99%

>99%

~79%

~16%

~2%

Children

>99%

>99%

~97%

~34%

~4%

Working in the field

Farmers

~11%

~1%

<1%

<1%

<1%

~88%

~20%

~2%

<1%

<1%

>99%

>99%

~65%

~10%

~1%

Consuming crops Consumers (cucumber)
irrigated with water Consumers (spinach)
1/10/14

16
Limitations
Only considers risk from three bacterial pathogens
Only ingestion considered
Based on EPA handbook for exposure, which may not be
relevant in this context

1/10/14

17
The importance of good
assumptions
200 ml / swim

50 ml / swim

P(inf) =
78%

P(inf) =
50%

(median)

(median)

1/10/14

18
Risk Characterization &
Management
1.

Based on the risks you are able to assess, do they appear to be “de minimus” or more substantial?
Substantial

2.

Which groups of people are most at risk and due to what activities?
Drinking water is the riskiest activity; children & raw produce consumers are at higher risk than farmers

3.

Rank exposure routes in decreasing order of their annual risks of infection and comment on risk
management approaches for minimizing these exposure risks?
Drinking water; recreational bathing; consumption of produce; farming

4.

How much reduction in fecal coliforms would you recommend to meet the USEPA allowable annual risks of
microbial infection guideline for recreational water contact?
A 6-7 log reduction (and more data collection) is recommended to presumably control risk to 1:10,000
level

5.

What are important uncertainties in your analysis? What could be done to reduce them? 19
1/10/14
Risk Management
International recommendations: Annual risk of infection < 10-4
- 6-7 log reduction in pathogen concentration is required
Strategies and challenges for risk reduction:
- Waste control at Village BB
- Build water treatment Infrastructure upstream of Village DD
- Local population: boil drinking water
- Spinach and cucumber consumers:

W
a Water Treatment Infrastructure
t
e
r

Wash spinach and cucumbers before consumption
- For farmers: wear protective mask while irrigating

1/10/14

20
Risk Management
Cost-effective analysis:
- Cost and effect of achieving different level of risk reduction
through different strategies
Social-community factors on decision making:
- Risk communication
- Policy
- Funding resources
1/10/14

21
Thank You

1/10/14

22

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Yamuna river

  • 1. Microbial Risk in a Hypothetical Indian River QMRA Workshop, Drexel university Woo Hyoung Lee, Qiaozhi li, Sharada Prasad, Matthew Verbyla 1/10/14 1
  • 2. Objective Stream AA (near Delhi, India) is polluted with domestic wastewater and surface runoff from Village BB. Objective: Assess microbial risks for drinking, swimming, and 1/10/14 irrigating spinach and 2
  • 3. Hazard (I): Vibrio • Comma-shaped, gram-negative bacillus (1-3µm(L)x 0.5-0.8µm(D)) • Infection: Fecal-oral transmission by food or water supply • 2nd transmission: seasonal effect  dense population ↑ • Symptom/Disease: Diarrhea, dehydration, hypovolemic shock/death • Incubation time: 4hrs-5 days (avg. 2-3 days) • Mortality rate: <1% (treated), >50% (untreated) • 0.5 cases/106 population (U.S., 2003-2008) 1/10/14 3
  • 4. Hazard (II): Shigella • Rod-shaped, gram-negative bacteria • Infection: person-to-person contact , contaminated food and water • 2nd transmission: mass outdoor gathering (+) vs. handwashing (-) • Symptom/Disease: Diarrhea, dysentery, acute colitis • Incubation time: 1-4 days • Mortality rate: <1% (developed country) 20-25% (East & Middle East) • 3.8 cases/106 population (U.S., 2010) 1/10/14 4
  • 5. Hazard (III): Salmonella • Rod-shaped, gram-negative enterobacteria (2-5µm(L)x0.7-1.5µm(D)) • Infection: Ingestion of bacteria in contaminated food or water • 2nd transmission: direct contact (e.g., laundry personnel) • Symptom/Disease: Diarrhea, fever, and abdominal cramps • Incubation time: few hrs- 1 day • Mortality rate: 400-600 deaths/year (U.S., 2007) • 1.4 million infection/year (U.S., 2003-2008) 1/10/14 5
  • 6. Exposure Assessment What do we know about this location? The concentration of fecal coliforms in this river is 1.5x107 (SD = 800) At least one town discharges raw wastewater to the river 1/10/14 People living 5km downstream of the point of sample collection in this river Drink from it (no treatment) ◦ Bathe in it 2x/week (May – August) ◦ Use it to irrigate cucumbers & spinach ◦ 6
  • 7. Concentrations of Bacterial Pathogens and Pathogen Indicators CFC = 1.5e7 MPN/100ml (SD = 8.0e2) 1:58,100 1:35,200 1:418,000 1/10/14 CSalmonella = 1.5e7 / 58,100 = 258 iMPN/100ml (SD = 0.014) CShigella = 1.5e7 / 418,000 = 36 iMPN/100ml (SD = 0.002) CVibrio = 1.5e7 / 35,200 = 426 iMPN/100ml (SD = 0.023) 7
  • 8. Exposure Assessment (Swimming and Drinking) Pathways Drinking untreated water Swimming (accidental water ingestion) [1] Exposed Subgroup Quantity Ingested per event1 Calculation: Dose per Event Frequency (events/year) Everyone 2 liters = CFC/fFC:path·(2000ml) 350 Adults 80 ml (20 ml/hr, 4 hrs) = CFC/fFC:path·(100ml) 32 Children 200 ml (50 ml/hr, 4 hrs) = CFC/fFC:path·(200ml) 32 U.S. EPA. Highlights of the Exposure Factors Handbook (Final Report). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-10/030, 2011. 1/10/14 8
  • 9. Exposure Assessment (Consumers & Producers of Crops) Pathways Working in the field Exposed Subgroup Quantity Ingested per event3 Calculation: Dose per Event2 Frequency (events/year) Farmers 100 mg soil = CFC/fFC:path·φ·(0.1/ρ) 50 – 125 = Consumers 100 g CFC/fFC:path·Vcuc·(10 50 – 150 cucumber Consuming crops (cucumber) 0g) irrigated with = river water Consumers 100 g CFC/fFC:path·Vspi·(10 75 – 225 (spinach) spinach [2] Hamilton, A. J., et al. (2006). Quantitative Microbial Risk Assessment Models for Consumption of Raw Vegetables Irrigated with 0g) Reclaimed Water. Applied & Environmental Microbiology, 72(5), 3284–3290. Vcuc ~ N(0.108,0.019)ml/g; Vspi ~ N(0.0036,0.0012)ml/g [3] Mara, D.D. (2008). Quantifying health risks in wastewater irrigation. UNESCO Encyclopedia of Life Support Systems. EOLSS Publishers. 1/10/14 9
  • 10. Dose Response Agent Best fit model Salmonella anatum β-Poisson Salmonella meleagridis β-Poisson Salmonella Typhi β-Poisson Shigella flexneri β-Poisson Vibrio cholerae β-Poisson 1/10/14 Optimized parameters α=3.18E-01, N50=3.71E+0 4 α=3.89E-01 , N50=1.68E+0 4 α=1.75E-01, N50=1.11E+0 6 α= 2.65E-01, N50=1.48E+0 3 α= 2.50E-01, N50=2.43E+0 2 LD50/ID50 Host Route Dose units endpoint 3.71E+04 human oral, with eggnog inferred MPN/ml positive stool culture 1.68E+04 human oral, with eggnog inferred MPN/ml infection 1.11E+06 human oral inferred MPN/ml disease 1.48E+03 human oral(in milk) inferred MPN/ml positive stool isolation 2.43E+02 human oral (with NaHCO3) inferred MPN/ml infection 10
  • 11. Fate & Transport Model Assumptions Flow Maximum Velocity velocity: m/s 1.66E+00 Minimum Velocity m/s 5.50E-02 Reference on Velocity Mamta Rani, 2013 5km Travel Time (= Distance/Velocity): Minimum Transportation Time hr 8.37E-01 Maximum Transportation time hr 2.53E+01 Decay Rate: Pathogen Distribution Median St. dev for log(UF) Reference Salmonella spp. Shigella spp. Vibrio cholerae log-Normal log-Normal log-Normal 9.59E-03 4.40E-03 2.27E-03 1.40E+00 1.80E+00 1.80E+00 John, 2005 Henis, 1987 Ramaiah, 2004 1/10/14 Concentration at DD = Concentration at BB * EXP(-Decay Rate*Transportation Time) 11
  • 12. Fate & Transport <1 log reduction in all scenarios during transport 5km downstream 1/10/14 Pathogen Salmonella Shigella Vibrio Log Reduction 0.003 (high flow) 0.105 (low flow) 0.002 (high flow) 0.048 (low flow) 0.001 (high flow) 0.025 (low flow) 12
  • 13. Risk Characterization – Bathing (Assume no decay) Risk Per Event 1/10/14 Annual Risk 13
  • 14. Risk Characterization – Eating Cucumber (Assume no decay) Risk Per Event 1/10/14 Annual Risk 14
  • 15. Risk Characterization – Farming (Assume no decay) Risk Per Event 1/10/14 Annual Risk 15
  • 16. Summary of Risk Characterization Annual Median Risk Pathway (given certain pathogen reductions) Exposed Subgroup No reduction 1-log 2-log 3-log 4-log Drinking water Everyone >99% >99% >99% >99% 99% Swimming (accidental water ingestion) Adults >99% >99% ~79% ~16% ~2% Children >99% >99% ~97% ~34% ~4% Working in the field Farmers ~11% ~1% <1% <1% <1% ~88% ~20% ~2% <1% <1% >99% >99% ~65% ~10% ~1% Consuming crops Consumers (cucumber) irrigated with water Consumers (spinach) 1/10/14 16
  • 17. Limitations Only considers risk from three bacterial pathogens Only ingestion considered Based on EPA handbook for exposure, which may not be relevant in this context 1/10/14 17
  • 18. The importance of good assumptions 200 ml / swim 50 ml / swim P(inf) = 78% P(inf) = 50% (median) (median) 1/10/14 18
  • 19. Risk Characterization & Management 1. Based on the risks you are able to assess, do they appear to be “de minimus” or more substantial? Substantial 2. Which groups of people are most at risk and due to what activities? Drinking water is the riskiest activity; children & raw produce consumers are at higher risk than farmers 3. Rank exposure routes in decreasing order of their annual risks of infection and comment on risk management approaches for minimizing these exposure risks? Drinking water; recreational bathing; consumption of produce; farming 4. How much reduction in fecal coliforms would you recommend to meet the USEPA allowable annual risks of microbial infection guideline for recreational water contact? A 6-7 log reduction (and more data collection) is recommended to presumably control risk to 1:10,000 level 5. What are important uncertainties in your analysis? What could be done to reduce them? 19 1/10/14
  • 20. Risk Management International recommendations: Annual risk of infection < 10-4 - 6-7 log reduction in pathogen concentration is required Strategies and challenges for risk reduction: - Waste control at Village BB - Build water treatment Infrastructure upstream of Village DD - Local population: boil drinking water - Spinach and cucumber consumers: W a Water Treatment Infrastructure t e r Wash spinach and cucumbers before consumption - For farmers: wear protective mask while irrigating 1/10/14 20
  • 21. Risk Management Cost-effective analysis: - Cost and effect of achieving different level of risk reduction through different strategies Social-community factors on decision making: - Risk communication - Policy - Funding resources 1/10/14 21

Editor's Notes

  1. &lt;number&gt;
  2. ingestion (fecal–oral contamination) Infected food handlers can spread the disease &lt;number&gt;
  3. flagella which grade in all directions 0.05% in 2007 &lt;number&gt;