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Monitoring for Pathogenic Microorganisms in the Venice Lagoon: Components for Modeling and Risk Asse

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Title: Monitoring for Pathogenic Microorganisms in the Venice Lagoon: Components for Modeling and Risk Asse


1
Monitoring for Pathogenic Microorganisms in the
Venice Lagoon Components for Modeling and Risk
Assessment
  • Troy M. Scott, Ph.D.
  • University of South Florida, USA

2
Outline
  • 1. Overview of microbiological contaminants
  • 2. Routes of exposure and health outcomes
  • 3. Monitoring programs Benefits and Limitations
  • 4. Survival Characteristics of Pathogens and
  • Indicators
  • 5. Microbial Risk Assessment

3
Pathogens of Concern
  • Domestic sewage contains many microscopic,
    pathogenic organisms
  • Many strict human pathogens (Shigella spp.,
    Salmonella enterica ser. Typhi, Hepatitis A,
    etc.)
  • Of particular concern are the protozoan parasites
    (Cryptosporidium and Giardia) and Enteric
    Viruses.

4
Human Enteric Viruses
  • Over 100 different types can be excreted in human
    feces
  • Low infective dose
  • Cause gastroenteritis, myocarditis, respiratory
    disease, encephalitis, paralysis
  • More resistant than bacteria to environmental
    conditions and disinfection

5
Enteric Protozoa
  • Cryptosporidium and Giardia of particular concern
  • Cause mild to severe gastroenteritis
  • Cryptosporidiosis can be fatal in young, elderly,
    and immunocompromised
  • Low infective dose (10)
  • Oocysts and cysts extremely resistant to
    environmental conditions and disinfection

6
Routes of Exposure
  • Direct contact (ingestion) of contaminated water
    during recreational or commercial activities
  • Eating raw or partially cooked shellfish

7
Shellfish Consumption
  • Many studies have linked consumption of raw or
    partially cooked shellfish with viral disease.
  • Usually viral in nature, although indigenous
    bacteria (V. parahaemolyticus) are known to
    bioaccumulate in oysters.
  • Cooking shellfish may not be sufficient to reduce
    risk of viral infection.

8
Risk Associated with Consumption of Raw Shellfish
  • Data on bioaccumulation and fate of viral and
    bacterial pathogens in shellfish is incomplete
  • Thorough risk assessment linking sewage
    contamination to consumption of shellfish is not
    feasible

9
Monitoring for Microbial Indicators Benefits
and Limitations
  • Pathogenic microorganisms are often present in
    low numbers
  • Many have a low infective dose
  • Methods to detect pathogenic microbes often lack
    sensitivity
  • Therefore, prediction of presence of pathogens
    often accomplished by monitoring for indicator
    organisms

10
Characteristics of an ideal indicator organism
  • Intestinal microorganisms
  • Non-pathogenic
  • rapidly detected
  • easily enumerated
  • present in high numbers
  • possess survival similar to those of pathogens
    they predict

11
Current Methodology
  • Traditional and alternative microbial indicators
    have been used for many years to predict the
    presence of fecal pollution in water
  • Total coliforms
  • Fecal coliforms
  • Enterococci

12
Current USEPA and Florida DOH Suggested Water
Quality Guidelines
  • USEPA- freshwater E. coli 126 CFU/100mL
  • Enterococci 33 CFU/100mL
  • USEPA- marine waters Enterococci 35
    CFU/100mL
  • FLDOH- total coliforms 1000 CFU/100mL
  • FLDOH- fecal coliforms 200 CFU/100mL

13
Limitations of Indicator Organisms
  • Variable survival rates
  • Inability to predict the presence of enteric
    viruses and protozoa
  • Failure to predict presence of harmful aquatic
    organisms (e.g. toxic algae)
  • Rarely effective in predicting health risks
    associated with consumption of shellfish

14
Methods of Detection of Indicators and Pathogens
  • Bacterial Indicators Relatively easy and
    inexpensive to assay. Many approved
    culture-based protocols
  • Protozoa Filtration, Concentration by IMS,
    Staining by IFA, Enumeration by microscopic
    examination (Viable and nonviable)
  • Cryptosporidium cell culture viability assay
  • Enteric Viruses Filtration, Concentration by
    flocculation, Inoculation onto tissue culture,
    observation of cytopathic effects (CPE)

15
Alternative Molecular Methods
  • Many molecular methods also available to detect
    pathogens of concern
  • Most are PCR-based
  • Detect viable and nonviable organisms
  • For viruses and protozoa, can be coupled with
    cell culture to better assess viability

16
Survival of Pathogens and Indicators in Marine
Environment
  • Specific pathogens have significantly different
    survival characteristics in marine environment
  • In general Cryptosporidium gt enteric viruses gt
    Giardia gt Vegetative Bacteria
  • Water temperature significantly affects survival
  • Other factors include pH, salinity, UV, predation

17
Data Compilation Microbial Risk Assessment
  • Microbial Risk Assessment requires a significant
    amount of data
  • Concentrations of pathogens often too low in
    receiving waters to accurately predict exposure
  • Can be augmented by modeling techniques

18
4 Steps of Risk Assessment
  • Hazard Identification Describes acute and
    chronic human health effects associated with any
    particular hazard
  • Dose-Response Characterizes the relationship
    between various doses administered and subsequent
    health effects
  • Exposure Assessment Determines the size and
    nature of the population exposed and the route,
    amount, and duration of exposure
  • Risk Characterization Integrates the
    information from exposure, dose response, and
    health steps to estimate magnitude of health risks

19
Define Environments of Concern
Define Human Population Exposed
Compile Lists of Pathogens Expected in Environment
Define Expected Survival or Growth in Environment
Exposure and Dose Response
Risk Characterization
Risk Management
20
ROUTES OF TRANSMISSION
Wastewater
Land Surface
Surface Water
Ground Water
Aerosols
Domestic use
Crops
Domestic use
Ingestion
Recreation
New Human Host
21
Approaches to Microbial Risk Assessment
  • Monitor for indicator organisms (Fecal coliforms,
    Enterococci) in raw wastewater and receiving
    waters
  • Model fate and transport to estimate
    concentrations in receiving waters
  • Concentrations in input
  • Survival/die-off
  • Compare to levels generally regarded as safe
  • Provides an index of potential risk, not
    definitive risk assessment

22
Approaches to Microbial Risk Assessment
  • Risk associated with ingestion of enteric viruses
    or protozoa
  • Concentrations of viruses and protozoa can be
    determined in raw wastewater
  • Fate and transport models can be used to estimate
    exposure levels
  • Exposure can be coupled with infectivity and
    dose-response data to estimate risk

23
Microbial Exposure Assessment
  • Key differentiating characteristic of
    microorganisms is that microbes are discrete
    particles at sufficiently low density and
    statistics of their distribution must be
    considered.
  • Easier to determine for specific risk assessment
    where concentrations and exposures can be
    quantified

24
Microbial Dose-Response
  • Develop relationship between level of microbial
    exposure and likelihood of adverse health
    response
  • Two key differences between risk posed by
    microorganisms and other chemicals
  • Population will receive distribution of actual
    doses (different from chemicals which are present
    at higher relative concentrations and evenly
    distributed)

25
Microbial Dose-Response
  • Second distinguishing aspect is the ability of
    microorganisms to propagate once introduced into
    a host
  • Disease process represents an overcoming of host
    defense systems

26
Microbial Dose-Response
  • Therefore, the process of infection may be
    considered as requiring two sequential processes
    to occur
  • The human host must ingest one or more organisms
    capable of causing disease
  • The organisms undergo decay or are impaired from
    multiplying, and only a fraction of organisms
    reach site of infection

27
Models for Risk Assessment
  • Exponential Dose-Response Model
  • Assumes random distribution of microorganisms
  • Each organism has independent and identical
    survival capability
  • Minimum number of organisms required for
    infection is one
  • P 1 e(-rN)
  • Where N Exposure
  • r is determined from dose response data

28
Models for Risk Assessment
  • Beta-Poisson Dose-Response Model
  • Modifies the exponential model by allowing for a
    distribution of microorganism-host interaction
    probabilities
  • P1-(1N/b)-a
  • Where N Exposure
  • a and b determined from dose-response data

29
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30
Summary of Risk Assessment
  • Hazard Identification
  • Giardia, Cryptosporidium, Enteric Viruses
  • Dose Response
  • Exposure Assessment
  • Routine monitoring, Fate/Transport modeling
  • Estimation of exposure through direct contact,
    recreational waters, drinking water
  • Risk Assessment

31
Summary
  • Pathogens in wastewater and fecally-contaminated
    water may result in significant risk to human
    health
  • Risk of infection may exist in waters containing
    acceptable levels of indicator organisms
  • Specific pathogens of interest are difficult and
    expensive to monitor in environmental waters
  • Specific pathogens exhibit variable survival
    characteristics and may be accumulated in
    shellfish
  • Sufficient data must be collected on
    concentrations of protozoa and viruses in raw
    wastewater in order to conduct thorough risk
    assessment
  • Comparison of indicator concentrations to
    recommended guidelines , can also be used to
    predict an assessment of risk associated with
    direct contact with surface water
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