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  <title><![CDATA[Phd Defense by Aaron Bivins, P.E.]]></title>
  <body><![CDATA[<p><strong>School of Civil and Environmental Engineering</strong></p>

<p>&nbsp;</p>

<p><strong>Ph.D. Thesis Defense Announcement</strong></p>

<p>Estimating the Health Risks Posed by Intermittent Water Supply Using Quantitative Microbial Risk Assessment</p>

<p>&nbsp;</p>

<p><strong>By</strong></p>

<p>Aaron Bivins, P.E.</p>

<p>&nbsp;</p>

<p><strong>Advisor:</strong></p>

<p>Dr. Joe Brown (CEE)</p>

<p>&nbsp;</p>

<p><strong>Committee Members:</strong></p>

<p>Dr. Kostas Kostantinidis (CEE), Dr. Anjali Bohlken (INTA), Dr. Heather Murphy (Temple University), Dr. Mark Borchardt (USDA Agriculture Research Service)</p>

<p>&nbsp;</p>

<p><strong>Date &amp; Time:</strong> Thursday, October 24th, at 10:00 am</p>

<p><strong>Location:</strong> Sustainable Education Building (SEB), Room 122</p>

<p>&nbsp;</p>

<p><br />
<strong>ABSTRACT<br />
Intermittent water supply (IWS) is a prevalent deficiency in piped-on-premise water supplies. In many settings<br />
water distribution systems are intentionally pressurized intermittently as a response to scarcity of water or other<br />
resources. Microbiological and epidemiological evidence indicates that in some contexts IWS is associated with<br />
increased levels of fecal contamination and increased risk of diarrheal disease among end users.<br />
In our initial quantitative microbial risk assessment (QMRA) using E. coli counts observed at IWS taps and<br />
pathogen to E. coli ratios in sewage, we estimated that IWS could account for 17.2 million infections causing 4.52<br />
million cases of diarrhea, 109,000 disability-adjusted life years, and 1,560 deaths among the 925 million exposed to<br />
IWS globally. We then used dead-end ultrafiltation (DEUF) and droplet digital PCR (ddPCR) to perform microbial<br />
sampling of two IWSs in India and QMRA to estimate the risks to human health attributable to IWS in India. During<br />
our microbial sampling in Jaipur, we detected gene targets associated with Cryptosporidium spp., Giardia lamblia,<br />
and enterotoxigenic E. coli (ETEC) concurrently with culturable E. coli in groundwater samples from tube wells. In<br />
Nagpur, we observed a significant increase in the proportion of samples positive for culturable E. coli and gene<br />
targets associated with waterborne pathogens at household taps served by IWS compared to those served by<br />
continuous water supply. At household taps served by IWS we detected genes associated with ETEC, Shigella spp.,<br />
norovirus GI and Gii, adenovirus, Cryptosporidium spp., and Giardia lamblia. Our QMRA estimates that the daily<br />
risks of infection for Giardia, Cryptosporidium, norovirus, adenovirus, and Shigella exceed the US EPA acceptable<br />
annual threshold of 1 in 10,000 at the 10th percentile. At the 10th percentile of daily risk, IWS could account for up to<br />
11 million Giardia infections, 60 million Cryptosporidium infections, and 2.17 million Shigella infections annually<br />
among the 460 million Indians served by IWS.<br />
Collectively, the results of our work indicate that, even given large uncertainty and variability, the public<br />
health risks associated with IWS likely exceed acceptable risk levels established by the WHO and US EPA. Our<br />
findings also indicate that measuring waterborne pathogens in drinking water at levels relevant to risk-based<br />
thresholds is unlikely via DEUF and ddPCR. Given this limitation, risk assessment and management will likely<br />
continue to rely on culture-based enumerations with large uncertainty and unclear relevance to risk-based standards.</strong></p>

<p>&nbsp;</p>
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