Waterborne Disease Risk - - PowerPoint PPT Presentation

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Waterborne Disease Risk - - PowerPoint PPT Presentation

Waterborne Disease Risk http://extension.usu.edu/agwastemanagement/Permits/cafo-permit Outline 1. The Global Problem 2. The epidemiological link 3. The US 4. Assessing risk 5. Small water systems the Walkerton experience Water-Related


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Waterborne Disease Risk

http://extension.usu.edu/agwastemanagement/Permits/cafo-permit

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Outline

  • 1. The Global Problem
  • 2. The epidemiological link
  • 3. The US
  • 4. Assessing risk
  • 5. Small water systems – the Walkerton experience
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Water-Related Diseases

(~80% infectious diseases)

 Waterborne:

 Cholera, typhoid, bacillary dysentery, infectious

hepatitis

 Water-washed:

 Trachoma, scabia, dysentery, louse-borne fever

 Water-based:

 Schistosomiasis, Guinea worm

 Water-related (insect vector):

 Malaria, sleeping sickness, onchocerciasis

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Leading causes of mortality from infectious diseases (WHO 2015 and 2016 estimates)

Disease Mortality LRI 3.2 million Diarrheal Diseases 1.4 million Tuberculosis 1.4 million HIV/AIDS 1.1 million Malaria 0.4 million

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Percentage of deaths among children under age 5 attributable to diarrhoea, 2015. https://data.unicef.org/topic/child-health/diarrhoeal-disease/

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  • 842,000 people die every year from diarrhoeal

diseases linked to inadequate water, sanitation and hygiene

  • 748 million people lacked access to improved

water sources (11% of the global population)

  • 2.5 billion people lacked access to improved

sanitation (36% of the world’s population)

  • 1 billion practice open defecation

(Prüss-Üstün et al. 2014. Trop. Med. Int. Health 19:894-905)

The Size of the Problem in 2012

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The good news in 2012:

  • Mortality estimates related to WASH much lower than a

decade ago

  • Since 1990,
  • >2 billion gained access to improved water sources

(now 89% global population with 116 countries meeting MDG)

  • Almost 2 billion gained access to improved

sanitation (now 64%, with 77 countries meeting MDG) The focus today is on the extreme disparities, with poor, marginalized (and often rural) peoples bearing the burden

  • f disease

(Progress on Drinking Water and Sanitation 2014 update, UNICEF & WHO)

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How do you make the

epidemiological link between human disease and water, in order to inform policy decisions?

 officially reported data vs. self reported data

(questionnaire-based studies)

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Individual Infection Diarrheal illness Moderate-severe Physician visit Clinical testing Pathogen diagnosed Disease reported [“community” incidence] [“hospital” incidence] Exposure (consumption of water; # pathogens) (pathogen infectivity, host susceptibility) pD pV pM pT pP pR pI pE

Hospital incidence = pE x pI x pD x pM x pV x pT x pP x pR

adapted from Pertz et al. 1998. Am J Epid 147:289-301

The problem of underreporting

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Physician visits Other Source water Drinking water POU Individual

  • r family

Diarrhea, vomiting Specific diagnoses Treated water Other risk factors and exposure pathways Questionnaire based study

Adapted from R. Morris, 2000

Officially reported data Exposure pathways

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Water Quality and Health Studies in Hyderabad, India

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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 10 20 30 40 50 60 70 80 90 100

Waterborne diseases in Hyderabad by Zone

(Jatish Mohanty, HSPH doctoral thesis, 1996)

Total AGI Typhoid Hep A

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Risk Factors for Disease

  • Sewage around home
  • Lack of education
  • Deteriorating infrastructure
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Cleaning utensils on the road Use of damaged food Drinking water w/o residual chlorine Using mud as a cleaning agent

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How about the US?

Relatively protected sources are

susceptible to contamination from wildlife, accidents or contaminated groundwater flows

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Surface Waters? e.g., the Ohio River

 “out of 58 water supply intakes along ~980 miles of

river, 48 are within 5 miles downstream of effluent discharge from a wastewater treatment plant

 a study of 20 cities serving 7 million people estimated

minimum wastewater component ranged from 2.3-18% and increased to predominantly wastewater for several municipalities during low flow periods”

McFeters

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Cryptosporidium parvum

http://www.biosci.ohio-state.edu/~parasite/protozoans.html

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Change in complacency with Milwaukee Cryptosporidiosis outbreak

 estimates of >400,000 sick  >100 related deaths  probably related to poor filter

backflushing practices at one of Milwaukee’s treatment plants

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Microbiological Risk Assessment (MRA)

(1). Hazard identification

 can we measure pathogens? are they viable? are they infectious?  what about pathogen/pathogen and pathogen/chemical mixtures?

(2). Exposure assessment

 for most infectious agents; waterborne (drinking? showering? toilet

flushing, etc?), foodborne, fecal-oral?

(3). Dose-response analysis

 most susceptible individual? mixtures?

(4). Risk characterization

 numbers and severity

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Pathogens in drinking water (infectious dose, incidence and survival)

Infectious Estimated Survival Dose Incidence (US) DW (d) Bacteria Vibrio cholerae 108 (v. few) 30 Salmonella spp. 106-7 59,000 60-90 Shigella spp. 102 35,000 30 toxigenic E. coli 102-9 150,000 90 Campylobacter spp. 106 320,000 7 Leptospira spp. 3 ? ? Francisella tularensis 10 ? ? Yersinia enterocolitica 109 ? 90 Aeromonas spp. 108 ? 90 Helicobacter pylori ? high ? Legionella pneumophila >10 11,000 long Mycobacterium avium ? ? long

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Infectious Estimated Survival Dose Incidence (US) DW (d) Protozoa Giardia lambia 1-10 260,000 25 Cryprosporidium parvum 1-30 420,000 ? Naegleria fowleri ? ? ? Acanthamoeba spp. ? ? ? Entamoeba histolica 10-100 ? 25 Cyclospora cayetanensis ? ? ? Isospora belli ? ? ? The Microsporidia ? ? ? Ballantidium coli 25-100 ? 20 Toxoplasma gondii ? ? ? Viruses* Total estimates: 1-10 6,500,000 5-27

*Includes Norwalk virus, Rotavirus, Coxsachievirus, Echovirus, Reovirus, Adenovirus,

HAV, HEV, Poliovirus, SRSV, Astrovirus, Coronavirus, Calicivirus, and unkown viruses

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EPA’s Contaminant List

CCL-4 Adenovirus Calicivirus Enterovirus Hepatitis A virus Campylobacter jejuni Escherichia coli (0157) Helicobacter pylori Legionella pneumophila Mycobacterium avium Naegleria fowleri Salmonella enterica Regulated Cryptosporidium Giardia Heterotrophic plate count Legionella Total coliforms, including fecal coliform and E. coli Turbidity Viruses (enteric) (DBPs)

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Microbiological Risk Assessment

 “to predict how many people in the community are infected through

drinking water consumption under non-outbreak conditions

 to determine pathogen densities which give an acceptable risk and

hence to set microbiological standards for drinking water supplies

 to determine the effectiveness of drinking water treatment for

different source waters and to estimate the increased risk if a drinking water treatment fails

 to balance microbial risks against the chemical risks from disinfection

by-products and to assess the microbiological impact of eliminating disinfection on public health

 to identify the most cost effective option to reduce microbiological

health risks to drinking water consumers”

(Gale P. 1996. Developments in microbiological risk assessment models for drinking water- a short review. J Appl Bacteriol 81:403-410)

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Microbial or chemical pollution of water? Install treatment Operational reliability? Improve

  • peration
  • +ve pressure
  • res chlorine
  • repair

Distribution system ok?

YES NO NO YES NO YES

Microbial risk? DBP risk? Treatment ok Augment treatment:

  • disinfection/contact time
  • improve operation
  • change disinfectant
  • BAC/membrane tech.,

etc. Augment treatment:

  • shift point of disinfection
  • precursor removal
  • change disinfectant
  • GAC/BAC etc.
  • membrane filtration

{

Economic constraints at every level

NO NO YES YES

Epidemic/high endemic risk prevention Low endemic risk prevention

? ?

Decision tree adapted from Craun GF et al.

  • 1994. Aqua

43:207

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Walkerton, Ontario - 2000

May 12: Torrential downpour washes bacteria from CAFO into well May 17: Complaints of bloody diarrhea, vomiting, cramps, fever May 18: Tests of water sampled May 15 reveal E. coli contamination, but not notified May 21: Independent testing, boil-water advisory. May 22: First death directly linked to E. coli. May 23: E. coli O157:H7 recognized. Two-year-old girl dies, > 150 people seek hospital treatment, another 500 have symptoms. May 24: Two more die. May 25: Fifth person dies. At least four children in critical condition. May 29: Sixth death. May 30: Seventh death.

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http://www.factoryfarm.org/photogallery1.html#h3

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https://vimeo.com/18382889 Walkerton 5 years on

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https://www.youtube.com/watch?v=DtZ-2O6wyl8 Walkerton water treatment plant