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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0105072</journal-id><journal-id journal-id-type="pubmed-jr-id">8618</journal-id><journal-id journal-id-type="nlm-ta">Water Res</journal-id><journal-id journal-id-type="iso-abbrev">Water Res</journal-id><journal-title-group><journal-title>Water research</journal-title></journal-title-group><issn pub-type="ppub">0043-1354</issn><issn pub-type="epub">1879-2448</issn></journal-meta><article-meta><article-id pub-id-type="pmid">27565116</article-id><article-id pub-id-type="pmc">11005072</article-id><article-id pub-id-type="doi">10.1016/j.watres.2016.08.022</article-id><article-id pub-id-type="manuscript">HHSPA1973498</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Evaluating four measures of water quality in clay pots and plastic safe storage containers in Kenya</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Murphy</surname><given-names>Jennifer L.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Ayers</surname><given-names>Tracy L.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Knee</surname><given-names>Jacqueline</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib><contrib contrib-type="author"><name><surname>Oremo</surname><given-names>Jared</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Odhiambo</surname><given-names>Aloyce</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Faith</surname><given-names>Sitnah H.</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Nyagol</surname><given-names>Ronald O.</given-names></name><xref rid="A2" ref-type="aff">b</xref></contrib><contrib contrib-type="author"><name><surname>Stauber</surname><given-names>Christine E.</given-names></name><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Lantagne</surname><given-names>Daniele S.</given-names></name><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Quick</surname><given-names>Robert E.</given-names></name><xref rid="A1" ref-type="aff">a</xref></contrib></contrib-group><aff id="A1"><label>a</label>Waterborne Disease Prevention Branch, Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA</aff><aff id="A2"><label>b</label>Safe Water and AIDS Project, Kisumu, Kenya</aff><aff id="A3"><label>c</label>Georgia State University, Atlanta, GA, USA</aff><aff id="A4"><label>d</label>Department of Civil and Environmental Engineering, Tufts University, Boston, MA, USA</aff><author-notes><corresp id="CR1"><label>*</label>Corresponding author. <email>iod7@cdc.gov</email> (J.L. Murphy).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>7</day><month>3</month><year>2024</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>11</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>13</day><month>8</month><year>2016</year></pub-date><pub-date pub-type="pmc-release"><day>10</day><month>4</month><year>2024</year></pub-date><volume>104</volume><fpage>312</fpage><lpage>319</lpage><abstract id="ABS1"><p id="P1">Household water treatment with chlorine can improve microbiological quality and reduce diarrhea. Chlorination is typically assessed using free chlorine residual (FCR), with a lower acceptable limit of 0.2 mg/L, however, accurate measurement of FCR is challenging with turbid water. To compare potential measures of adherence to treatment and water quality, we chlorinated recently-collected water in rural Kenyan households and measured total chlorine residual (TCR), FCR, oxidation reduction potential (ORP), and <italic toggle="yes">E. coli</italic> concentration over 72 h in clay and plastic containers. Results showed that 1) ORP served as a useful proxy for chlorination in plastic containers up to 24 h; 2) most stored water samples disinfected by chlorination remained significantly less contaminated than source water for up to 72 h, even in the absence of FCR; 3) TCR may be a useful proxy indicator of microbiologic water quality because it confirms previous chlorination and is associated with a lower risk of <italic toggle="yes">E. coli</italic> contamination compared to untreated source water; and 4) chlorination is more effective in plastic than clay containers presumably because of lower chlorine demand in plastic.</p></abstract><kwd-group><kwd>Chlorination</kwd><kwd>Household water treatment</kwd><kwd>Safe water storage</kwd></kwd-group></article-meta></front><body><sec id="S1"><label>1.</label><title>Introduction</title><p id="P2">Despite substantial gains in access to improved drinking water sources worldwide since the Millennium Development Goals were developed and implemented, an estimated 663 million people still rely on unimproved water sources (<xref rid="R34" ref-type="bibr">UNICEF and WHO, 2015</xref>). An additional estimated 1.2 billion people obtain drinking water from improved, but contaminated, water sources. Thus, an estimated 1.8 billion people lack access to safe water (<xref rid="R28" ref-type="bibr">Onda et al., 2013</xref>). Consumption of fecally-contaminated drinking water is a leading cause of the approximately 502,000 diarrheal deaths worldwide each year (<xref rid="R31" ref-type="bibr">Pruss-Ustun et al., 2014</xref>).</p><p id="P3">Chlorination is one of the most widely used, practical, and inexpensive forms of household water treatment to quickly inactivate most waterborne disease-causing bacteria and viruses (<xref rid="R33" ref-type="bibr">Rosa and Clasen, 2010</xref>). In developing countries, liquid (e.g., sodium hypochlorite solutions) and powdered or solid (e.g., calcium hypochlorite or sodium dichloroisocyanurate) sources of free chlorine are used to disinfect household drinking water and, in a number of studies, chlorination has been shown to reduce the risk of diarrheal disease (<xref rid="R1" ref-type="bibr">Arnold and Colford, 2007</xref>; <xref rid="R4" ref-type="bibr">Clasen et al., 2015</xref>).</p><p id="P4"><italic toggle="yes">Escherichia coli (E. coli)</italic> is used as an indicator of the microbiologic quality of water (<xref rid="R9" ref-type="bibr">Edberg et al., 2000</xref>). However, <italic toggle="yes">E. coli</italic> is difficult to measure in the field and other measureable water characteristics can be used as indicators of adherence to water chlorination recommendations, serving as proxies for microbiologic water quality (<xref rid="R10" ref-type="bibr">CDC, 2014</xref>; <xref rid="R26" ref-type="bibr">OECD and WHO, 2003</xref>; <xref rid="R7" ref-type="bibr">Crump et al., 2004</xref>). Following addition of chlorine to water, reactions occur that result in free chlorine species and combined chlorine species; the sum of these two is termed total chlorine. Free chlorine residual (FCR) is the most common measure used because it indicates the most effective species of chlorine for disinfection. Total chlorine residual (TCR) is less frequently used as a water quality measure because it also detects combined chlorine species, which are much less effective for disinfection. Oxidation reduction potential (ORP) is another water chemistry parameter increasingly used in water distribution systems (<xref rid="R13" ref-type="bibr">Hall et al., 2007</xref>) and swimming pools (<xref rid="R16" ref-type="bibr">Kebabjian, 1995</xref>). ORP is a measure of the tendency of oxidants (e.g., chlorine species) to be reduced and it therefore provides an indication of the disinfection capacity of the water.</p><p id="P5">The World Health Organization (WHO) recommends that FCR in treated water should not fall below 0.2 mg/L (<xref rid="R35" ref-type="bibr">WHO, 2011</xref>). For treating water in the home, WHO recommends dosing clear water (&#x0003c;10 Nephelometric Turbidity Units [NTU] turbidity) at 2 mg/L FCR and turbid water (&#x0003e;10 NTU) at 4 mg/L FCR in order to maintain a FCR of 0.2 mg/L for 24 h after treatment (<xref rid="R35" ref-type="bibr">WHO, 2011</xref>; <xref rid="R18" ref-type="bibr">Lantagne et al., 2010</xref>). Many studies of household water chlorination rely on a combination of self-reported use of chlorine and FCR field tests that utilize N,N-diethIy-p-phenylenediamine (DPD) to confirm water treatment. In these studies, discrepancies between reported and confirmed chlorination have been common (<xref rid="R2" ref-type="bibr">Blanton et al., 2010</xref>; <xref rid="R8" ref-type="bibr">DuBois et al., 2006</xref>; <xref rid="R12" ref-type="bibr">Gupta et al., 2007</xref>; <xref rid="R20" ref-type="bibr">Luby et al., 2008</xref>). Potential causes of these discrepancies include: 1) reliance on water sources with a high content of organic material that rapidly consumes chlorine (i.e., exerts chlorine demand) (<xref rid="R17" ref-type="bibr">Lantagne, 2008</xref>); 2) use of clay pots, which are culturally preferred because they lower water temperature through evaporative cooling, but can exert chlorine demand (<xref rid="R25" ref-type="bibr">Null and Lantagne, 2012</xref>; <xref rid="R27" ref-type="bibr">Ogutu et al., 2001</xref>); 3) use of wide-mouthed storage containers which facilitate insertion of hands or other objects that could add organic material and decrease FCR (<xref rid="R36" ref-type="bibr">Wright et al., 2004</xref>); 4) storage of water for periods exceeding 24 h, a common practice in regions in which water is scarce or water sources are located far from homes, during which time FCR naturally decays (<xref rid="R17" ref-type="bibr">Lantagne, 2008</xref>; <xref rid="R3" ref-type="bibr">Briere et al., 2012</xref>; <xref rid="R6" ref-type="bibr">Colindres et al., 2008</xref>) and; 5) courtesy, or social desirability, bias, in which interviewees provide responses to water treatment questions that they believe interviewers expect, resulting in over-reporting of water treatment (<xref rid="R3" ref-type="bibr">Briere et al., 2012</xref>; <xref rid="R22" ref-type="bibr">Luoto et al., 2011</xref>).</p><p id="P6">The &#x0201c;real world&#x0201d; problems of turbidity, proper dosing, type of storage container used, time of storage, and reliance on self-reported water treatment complicate the ability of household water chlorination program staff to evaluate: 1) whether water has been treated and 2) the effectiveness of treatment. Simple methods that are feasible for field use are needed to confirm whether, in the absence of detectable FCR, water was chlorinated and whether this treatment improved water quality. To address these problems, we conducted a household-based study in western Kenya in which we analyzed four measures of water quality at five time points in both clay pots, the most commonly used water storage container (ranging from 62 to 92% of households) (<xref rid="R2" ref-type="bibr">Blanton et al., 2010</xref>; <xref rid="R11" ref-type="bibr">Garrett et al., 2008</xref>; <xref rid="R29" ref-type="bibr">O&#x02019;Reilly et al., 2008</xref>; <xref rid="R30" ref-type="bibr">Parker et al., 2006</xref>), and plastic safe storage containers. In particular, we attempted to determine whether ORP offered advantages over TCR and FCR as confirmatory measures of chlorination, using <italic toggle="yes">E. coli</italic> concentration as the &#x0201c;gold standard&#x0201d; of disinfection effectiveness.</p></sec><sec id="S2"><label>2.</label><title>Materials and methods</title><sec id="S3"><label>2.1.</label><title>Study design</title><p id="P7">To assess changes in water quality over time in a real-world setting and to compare four measures of water quality in two types of water storage containers, we conducted a controlled crossover trial of 2 randomly selected groups of households in western Kenya from August 27-October 19, 2012. In one group (Group A), water was chlorinated and stored in clay pots typically used for drinking water storage; in the other group (Group B), water was chlorinated and stored in a plastic safe storage container (<xref rid="F1" ref-type="fig">Fig. 1</xref>). Over the following 72 h, water quality tests were performed for both groups. After a two-week washout period, the container types were switched between the groups, and the process described above was performed (<xref rid="F2" ref-type="fig">Fig. 2</xref>).</p></sec><sec id="S4"><label>2.2.</label><title>Study population</title><p id="P8">We selected a convenience sample of six rural villages in Kisumu County that relied on variety of community drinking water sources and household water storage. Households with the following characteristics were eligible to participate: had &#x02265; one child &#x0003c;5 years old; collected and transported drinking water in 10 L or 20 L containers (jerry cans or buckets); stored drinking water in a &#x02265;15 L ceramic pots (range 15&#x02013;30 L) in the home; and were willing to use a plastic safe storage container to store drinking water for half of the study period and their own ceramic pot for the other half of the study. Households that did not store drinking water in ceramic pots with &#x02265;15 L capacity were excluded because of the likelihood that stored water would not last for more than one day.</p></sec><sec id="S5"><label>2.3.</label><title>Enrollment</title><p id="P9">In each of the 6 study villages, we obtained a list of all households with at least one child &#x0003c;5 years old from the village chief, or conducted a brief census to obtain the list of households. We then used a random numbers table to select a sample of households with children &#x0003c;5 years old in each of the 6 communities. A total of 60 households were initially enrolled in the study. At the time of enrollment, respondents in households were interviewed about demographic characteristics, and water, sanitation, and hygiene practices. Electronic questionnaires were verbally administered in Dholuo, the local language, by trained Kenyan field research assistants.</p></sec><sec id="S6"><label>2.4.</label><title>Intervention</title><p id="P10">The 60 households were randomly allocated to two groups &#x02014; Groups A (30 households) and B (30 households) (<xref rid="F2" ref-type="fig">Fig. 2</xref>). Group A households were asked to use their clay pots during the first half of the study while Group B households were provided a new, 60 L plastic safe storage container with a lid, tap, and stand.</p></sec><sec id="S7"><label>2.5.</label><title>Phase 1</title><p id="P11">Households were contacted in advance and requested to fill their water collection containers (in most cases, 20 L jerry cans) using water from their usual drinking water source on the morning of the first home visit and to keep it in the transport containers. During the first home visit, investigators collected Time 0 (&#x0201c;pre-dose&#x0201d;) water samples by pouring water directly from the transport containers into test vials and sample bottles.</p><p id="P12">To assess water quality, three water quality and treatment measures were performed using portable field meters in the home. Water samples collected into 10 mL glass vials were tested for TCR (mg/L) and FCR (mg/L) (Hach<sup>&#x000ae;</sup> Pocket Colorimeter<sup>&#x02122;</sup> II, Loveland, CO, USA); water samples collected into 50-mL polypropylene conical tubes were tested for ORP (mV) (Oakton<sup>&#x000ae;</sup> Waterproof ORPTestr<sup>&#x000ae;</sup> 10, Vernon Hills, IL, USA). Additionally, a 100 mL sample was collected in a WhirlPak<sup>&#x02122;</sup> bag containing sodium thiosulfate, stored on ice, and transported to the laboratory within 4&#x02013;6 h of collection for <italic toggle="yes">E. coli</italic> quantification (CFU/100 mL) using membrane filtration (0.45 mM, 47 mm filters) with m-ColiBlue24<sup>&#x000ae;</sup> media (Hach<sup>&#x000ae;</sup>, Loveland, CO, USA). In some cases, because of exceedingly slow filtration rates of water samples due to high turbidity, we limited the volume of filtrate to 20 or 50 mL of sample and multiplied positive results by the appropriate proportion factor; samples with no growth were reported as non-detectable for <italic toggle="yes">E. coli</italic>.</p><p id="P13">In addition, because physicochemical parameters can influence chlorine residuals and other water quality measures, we also tested samples collected in 50 mL polypropylene conical tubes for the four following physicochemical parameters: turbidity (NTU) (Hach<sup>&#x000ae;</sup> 2100Q Portable Turbidimeter, Loveland, CO, USA), temperature (&#x000b0;C), electrical conductivity (&#x003bc;s/cm), and total dissolved solids (mg/L) (Oakton<sup>&#x000ae;</sup> Waterproof Multiparameter PCS Tester 35).</p><p id="P14">In the presence of the head of household, investigators then treated each water transport vessel with the proper dose of WaterGuard<sup>&#x02122;</sup>, a familiar, locally available water treatment product containing 1.25% sodium hypochlorite solution. The dose was based on turbidity and the volume of water in the jerry can; water with turbidity &#x0003c;10 NTU was dosed with a single 3 mL dose of WaterGuard per 20 L and water with turbidity &#x0003e;10 NTU was dosed with a double dose of 6 mL of WaterGuard per 20 L. Treated water was then poured into either the household&#x02019;s empty ceramic pot (Group A) or the new plastic safe storage container (Group B).</p><p id="P15">After 30 min, water samples were collected and tested, as described above. Because the size and weight of clay storage pots precluded pouring water samples, each head of household was asked to wash a cup or ladle that was normally used to obtain water so that water samples could be collected; water samples from the improved plastic storage containers were taken directly from the tap. Heads of households were asked not to retreat the water or refill the container unless it was completely emptied out.</p><p id="P16">The household was revisited at 24, 48, and 72 h for a short-follow-up interview about water addition or treatment since the previous visit, followed by collection and testing of water samples, as described above. If respondents reported that water or additional disinfectant had been added to the storage container since the previous visit, they were excluded from the remainder of this phase of the study.</p></sec><sec id="S8"><label>2.6.</label><title>Phase 2 (cross-over)</title><p id="P17">The crossover period of the project began after a 2-week washout period. Households were again contacted in advance and requested to fill their transport containers using water from their usual drinking water source on the morning of the first home visit and to keep it in the transport containers. Households in Group A were provided with a plastic safe storage container with a lid, tap, and stand; Group B households were asked to resume using their ceramic pots for water storage. Water treatment and testing proceeded in a fashion identical to phase 1. At the conclusion of phase 2, all households were allowed to keep the plastic safe storage containers, stands, and a bottle of WaterGuard for participation in the study.</p></sec><sec id="S9"><label>2.7.</label><title>Data analysis</title><p id="P18">Interview data were entered into personal digital assistants (PDAs) and uploaded into an Access (Microsoft, Redmond, WA, USA) database. Chemical and microbial data were collected on hardcopy forms, entered into an Excel database, and analyzed with SAS<sup>&#x000ae;</sup> 9.3 software (Cary, NC, USA). TCR, FCR, turbidity, and <italic toggle="yes">E. coli</italic> concentration had skewed distributions and were categorized according to the following metrics. For descriptive purposes, <italic toggle="yes">E. coli</italic> was categorized according to WHO risk thresholds as non-detectable or 1&#x02013;10, 11&#x02013;100, or &#x0003e;100 CFU/100 mL (<xref rid="R37" ref-type="bibr">WHO, 1997</xref>). Since WHO guidelines and public health interventions are aimed at complete removal of <italic toggle="yes">E. coli</italic>, we further categorized data into a dichotomous presence/absence for modeling. FCR was categorized as &#x0003c;0.2 or &#x02265;0.2 mg/L, as this is the minimum recommended concentration by the WHO Guidelines for Drinking Water Quality for infrastructure treated water (<xref rid="R35" ref-type="bibr">WHO, 2011</xref>). TCR was similarly categorized as &#x0003c;0.2 or &#x02265;0.2 mg/L based on previous research that utilized this strategy to assess chlorine treatment efficacy and storage time in ceramic pots (<xref rid="R25" ref-type="bibr">Null and Lantagne, 2012</xref>). Water samples were categorized as turbid when turbidity measures were &#x02265;10 NTU, in reference to chlorine dosing recommendation for turbid water. The primary outcomes of interest were TCR, FCR, ORP, and <italic toggle="yes">E. coli</italic>.</p><p id="P19">To investigate water quality differences in clay pots and plastic safe storage containers across the five time intervals, two-way within-subjects random effects models were constructed; logistic regression models for the outcomes TCR, FCR, and <italic toggle="yes">E. coli</italic> and linear regression for ORP. Interaction terms for storage container and time interval were significant for all four primary outcomes (TCR, FCR, ORP, and <italic toggle="yes">E. coli</italic>). For results stratified by water storage container type, we present estimates from separate repeated measures models for binary outcomes using generalized estimating equations (GEE) and an autoregressive correlation structure. Odds Ratios (OR) and 95% Confidence Intervals (CI) computed from robust standard error estimates are reported. ORP mean differences are computed from random effects linear regression models and Tukey adjusted p-values are reported. All models adjusted for turbidity.</p></sec><sec id="S10"><label>2.8.</label><title>Ethical considerations</title><p id="P20">The study protocol was approved by the Ethical Review Committee of the Kenya Medical Research Institute (protocol 2324) and the Institutional Review Board of the Centers for Disease Control and Prevention (protocol 6313). Written informed consent was obtained from all participants. Data were maintained in an encrypted file in a password-protected computer. Personal identifiers were destroyed after all data were collected.</p></sec></sec><sec id="S11"><label>3.</label><title>Results</title><sec id="S12"><label>3.1.</label><title>Demographic characteristics and baseline water, sanitation, and hygiene practices</title><p id="P21">A total of 60 respondents were enrolled in the study. Five households were excluded from the study because respondents weren&#x02019;t available for one or more of the intervention phases; ultimately 25 respondents remained in Group A and 30 respondents comprised Group B. The median age across participating respondents was 27 (range 17&#x02013;55) and all were women. Fewer than half (n = 23) had less than a complete primary school education and only one, in Group B, had electricity. The majority (85%) of study households used improved water sources and 60% of respondents reported that they treated water stored in their homes. Of 32 households that reported treating their water, 24 (75%) reported using WaterGuard; 2 (6%) reporting using other chlorine-based products, 5 (16%) reported boiling, and 12 (38%) reported using a cloth to filter water. Fewer than half (47%) of households had an improved sanitation facility. Soap was present in 93% of households and 56% of respondents were able to demonstrate proper handwashing technique.</p></sec><sec id="S13"><label>3.2.</label><title>Water testing: clay pots</title><p id="P22">Water sources used for dosing experiments in clay pots included rain (40%), surface water (24%), springs (18%), piped networks (16%), and ground water (2%). The median turbidity of water samples in clay pots at Time 0 was 37 NTU (range 0&#x02013;300 NTU) (<xref rid="T1" ref-type="table">Table 1</xref>). Turbidity measures did not vary widely over the 72 h testing period. Median TCR and FCR values at Time 0 were 0.1 mg/L; over three-fourths of samples were &#x0003c;0.2 mg/L for both TCR and FCR. The median ORP was 393 mV (range 196&#x02013;597 mV). At Time 0, 83% of water samples were contaminated with <italic toggle="yes">E. coli</italic>. Water had a median pH 6.8, 25 &#x000b0;C temperature, electrical conductivity of 106 &#x003bc;s/cm, and 78 mg/L total dissolved solids; these median measures did not vary widely over the 72 h testing period.</p><p id="P23">Thirty minutes after chlorination (Time 0.5 h), median TCR and FCR levels increased to 1.2 and 0.9 mg/L, respectively (<xref rid="T1" ref-type="table">Table 1</xref>). Median ORP increased to 541 mV (range 392&#x02013;757 mV), with 93% of samples increasing by &#x0003e;10% of the time 0 value. <italic toggle="yes">E. coli</italic> were non-detectable in 83% of samples. By 24 h, FCR was &#x0003c;0.2 mg/L in 61% of samples and TCR was &#x0003c;0.2 mg/L in 31% of samples. Approximately 40% of samples had ORP values 10% of the time 0 value. <italic toggle="yes">E. coli</italic> were non-detectable in 74% of samples. At 48 h, 51% of TCR and 67% of FCR values were &#x0003c;0.2 mg/L and the median ORP measurement decreased to slightly lower than the time 0 value. The percentage of samples with non-detectable <italic toggle="yes">E. coli</italic> decreased to 48%. By 72 h, median TCR was 0.2 mg/L and FCR was 0.1 mg/L; 35% of samples had no detectable <italic toggle="yes">E. coli</italic>.</p><p id="P24">Compared to Time 0 values and adjusted for turbidity, water treated with the recommended amount of chlorine and stored in clay pots was significantly less likely to contain <italic toggle="yes">E. coli</italic> for up to 48 h (<xref rid="T2" ref-type="table">Table 2</xref>). Although FCR levels were significantly more likely to be &#x0003e; 0.2 mg/L at 30 min than at Time 0, by 24 h FCR was significantly more likely to have fallen below the threshold of 0.2 mg/L. However, TCR levels were less likely to have fallen below the 0.2 mg/L threshold over the entire 72 h time period than at baseline. At 30 min and 24 h post treatment, ORP was significantly higher than at Time 0. By 48 h, ORP values were not significantly different than at Time 0.</p></sec><sec id="S14"><label>3.3.</label><title>Water testing: plastic safe storage containers</title><p id="P25">Source water used for dosing experiments in plastic safe storage containers include rain (44%), surface water (22%), springs (18%), piped networks (13%), and ground water (4%). The median turbidity of water samples in plastic containers at time 0 was 28 NTU (range 0&#x02013;300 NTU) (<xref rid="T3" ref-type="table">Table 3</xref>). Turbidity measures did not vary widely over the 72 h testing period. At Time 0, median TCR and FCR were 0.1 mg/L and &#x0003c;0.1 mg/L, respectively, with over three-fourths of samples &#x0003c;0.2 mg/L for both TCR and FCR. The median ORP was 387 mV (range 252&#x02013;556 mV). At Time 0, 87% of water samples were contaminated with <italic toggle="yes">E. coli</italic>. Water had a median pH 7.2, 24 &#x000b0;C temperature, electrical conductivity of 104 &#x003bc;s/cm, and 69 mg/L total dissolved solids; these median measures did not vary widely over the 72 h testing period.</p><p id="P26">Thirty minutes after chlorination, median TCR and FCR levels increased to 1.3 and 0.8 mg/L, respectively (<xref rid="T3" ref-type="table">Table 3</xref>). Median ORP increased to 541 mV (range 392&#x02013;747 mV), with 89% of samples increasing by &#x0003e;10% of the Time 0 value. <italic toggle="yes">E. coli</italic> were non-detectable in 91% of samples. By 24 h, median FCR decreased to 0.3 mg/L, median TCR was 0.7 mg/L, and 15% of water samples had fallen to within 10% of the time 0 ORP value. <italic toggle="yes">E. coli</italic> remained non-detectable in 85% of samples. At 48 h, 17% of TCR and 33% of FCR values were &#x0003c;0.2 mg/L and the median ORP measurement remained higher than the Time 0 value. <italic toggle="yes">E. coli</italic> were non-detectable in 90% of samples. By 72 h, median TCR was 0.6 mg/L and FCR was 0.3 mg/L, the median ORP value was higher than at Time 0, and 80% of samples had no detectable <italic toggle="yes">E. coli</italic>.</p><p id="P27">When compared with Time 0 values and adjusted for turbidity, water treated with the recommended amount of chlorine and stored in a plastic safe storage containers was significantly less likely to contain <italic toggle="yes">E. coli</italic> across all time points, indicating a protective effect for up to 72 h (<xref rid="T4" ref-type="table">Table 4</xref>). Both FCR and TCR levels were significantly less likely to be &#x0003c; 0.2 mg/L than the Time 0 values over the entire 72 h time period. Up through 24 h, mean ORP was significantly higher than Time 0 ORP values, however, by 48 h ORP values were not significantly different than Time 0 values.</p></sec><sec id="S15"><label>3.4.</label><title>Comparison of clay pots and plastic safe storage containers</title><p id="P28">Using two-way random effects models and adjusting for turbidity, we assessed differences in water storage containers and time points for TCR, FCR, and <italic toggle="yes">E. coli</italic>. Water container type was a statistically significant effect modifier for time interval, thus we present results stratified by either water container or time interval. There were statistically significant differences between clay pots and plastic safe storage containers for TCR, FCR, and <italic toggle="yes">E. coli</italic> at 48 and 72 h. Despite no differences in water quality measures between storage containers at pre-treatment, 30 min and 24 h, the odds of having a positive <italic toggle="yes">E. coli</italic> result were greater in clay pots compared to plastic containers at 48 (p = 0.0002) and 72 h (p = 0.0004). The odds of having TCR &#x0003c;0.2 mg/L were significantly greater in clay pots than plastic containers at 24 (p = 0.0199), 48 (p = 0.0023), and 72 h (p = 0.0061); likewise, the odds of having FCR &#x0003c;0.2 mg/L were significantly greater in clay pots than plastic containers at 24 (p = 0.0370), 48 (p = 0.0014), and 72 h (p = 0.0245) (<xref rid="T5" ref-type="table">Table 5</xref>).</p><p id="P29">If TCR or FCR was &#x02265;0.2 mg/L in stored water, regardless of container type or time, there was a decreased likelihood that <italic toggle="yes">E. coli</italic> was present. This association was stronger for TCR &#x02265;0.2 in plastic containers (OR 0.08, 95% confidence interval [CI] 0.04&#x02013;0.16) than in clay pots (OR 0.44, 95% CI 0.27&#x02013;0.75); likewise, this association was stronger for FCR &#x02265;0.2 in plastic containers (OR 0.25, 95% CI 0.14&#x02013;0.44) than in clay pots (OR 0.43, 95% CI 0.26&#x02013;0.69).</p></sec></sec><sec id="S16"><label>4.</label><title>Discussion</title><p id="P30">To our knowledge, this is the first study in which a controlled chlorination experiment at the household level tested four water quality measures, including ORP, for a period of up to 72 h. This evaluation yielded several key findings. First, ORP served as a reasonable proxy for chlorination in plastic containers up to 24 h, but was not a good proxy after 24 h as ORP decreased to near pre-treatment levels. ORP was also not a good proxy in clay pots because the level was not significantly different at 24 h than pre-treatment. The ease of ORP measurement using a probe and without a need for reagents offers the advantage of convenience, while the main disadvantage is the initial investment in the ORP meter. Second, chlorinating various types of source waters at recommended doses resulted in a statistically significant increase in the percentage of stored water samples that had no detectable <italic toggle="yes">E. coli</italic> for up to 72 h, even as FCR fell below the recommended minimum concentration of 0.2 mg/L and ORP decreased to pre-treatment levels. Third, as expected, TCR persisted above 0.2 mg/L over a longer period than FCR. There was a statistically significant association between TCR values &#x02265; 0.2 mg/L and non-detectable <italic toggle="yes">E. coli</italic> in stored water, which presents the possibility of TCR serving as a useful proxy measure of water quality.</p><p id="P31">This evaluation also demonstrated that chlorination at the recommended dose was more effective at eliminating detectable <italic toggle="yes">E. coli</italic> for up to 72 h in plastic safe storage containers than in traditional clay pots, even when adjusting for source water turbidity. This finding most likely occurred because FCR was significantly more likely to persist at higher concentrations over time in plastic versus clay containers. These findings are expected, consistent with other studies (<xref rid="R27" ref-type="bibr">Ogutu et al., 2001</xref>; <xref rid="R32" ref-type="bibr">Quick et al., 1996</xref>), and plausible because clay pots often have organic materials on the surface that exert chlorine demand and facilitate biofilm growth (<xref rid="R24" ref-type="bibr">Murphy et al., 2009</xref>). In addition, clay pots have wide mouths, which permit the insertion of hands or other objects potentially increasing chlorine demand and the risk of recontamination. In this study, by testing water stored in clay pots that had been in use in households rather than new clay pots, chlorine demand in the pots may have been greater and likely to decrease FCR levels at a faster rate than in new pots, thereby possibly biasing results toward the null. However, at least one study has shown no difference in chlorine behavior between new and used clay pots (<xref rid="R27" ref-type="bibr">Ogutu et al., 2001</xref>). In addition, the evaluation of water storage in used clay pots more accurately represents actual household circumstances. One caveat to this finding is that we used new plastic safe storage containers that initially would have been free of biofilm, so their performance might decline over longer periods of use as biofilm formed on the inner surface (<xref rid="R34" ref-type="bibr">UNICEF and WHO, 2015</xref>; <xref rid="R1" ref-type="bibr">Arnold and Colford, 2007</xref>; <xref rid="R15" ref-type="bibr">Jagals et al., 2003</xref>). Further study is needed to evaluate this possibility.</p><p id="P32">ORP proved to be a poor proxy of drinking water disinfection after 24 h because, although ORP is increasingly used to monitor disinfection capacity of water in distribution systems and swimming pools, a higher concentration of chlorine is often used in those systems (i.e., FCR 1&#x02013;3 mg/L) than in stored drinking water, resulting in higher post-treatment OPR values. When treating water for human consumption, palatability is an important consideration, and chlorine concentrations that would results in elevated ORP for greater than 24 h, such as those used in treatment facilities or swimming pools, would be unpalatable in drinking water stored in household containers. For ORP to meet its potential as a field measurement of effective household water treatment over periods &#x0003c;24 h guidelines would need to be developed for interpretation of measures.</p><p id="P33">The practical importance of the above findings can be appreciated when considering other studies of chlorination in which reported rates of chlorine use were high but measured FCR in water samples were low (<xref rid="R5" ref-type="bibr">Colindres et al., 2007</xref>; <xref rid="R19" ref-type="bibr">Lantagne and Clasen, 2012</xref>; <xref rid="R14" ref-type="bibr">Harshfield et al., 2012</xref>; <xref rid="R23" ref-type="bibr">Mong et al., 2001</xref>). In those studies, it was not possible to determine whether the high reported rates were a result of social desirability or courtesy bias in which water treatment was not actually performed, or a result of a poor indicator (i.e., FCR) for turbid water treated with hypochlorite, for water treated with hypochlorite &#x0003e;24 h before testing, or both. Findings of this study suggest that, because TCR persists longer than FCR in stored water, it may serve as a better proxy measure for adherence to recommended treatment with sodium hypochlorite. Additionally, the statistically significant association between TCR &#x02265;0.2 mg/L and non-detectable <italic toggle="yes">E. coli</italic> in stored water suggests that TCR may also serve as a rough, though imperfect, proxy measure for water quality. While not completely free of <italic toggle="yes">E. coli</italic> contamination, water remained improved up to 72 h as compared with its pre-dose quality. Recent research found a positive association between the risk of child diarrhea and increasing <italic toggle="yes">E. coli</italic> concentration in drinking water; the dose-response relationship observed suggested that even modest improvements in water quality can provide a health benefit (<xref rid="R21" ref-type="bibr">Luby et al., 2015</xref>). However, TCR would be a less reliable proxy measure of water quality in populations that use clay pots for water storage, particularly if the water were stored over a period of several days before being replenished. Populations that prefer clay pots because of evaporative cooling of stored water would likely be difficult to motivate to switch to plastic water storage containers. In this case, chlorination promotion campaigns would need to take into account the properties of clay pots, particularly those with wide mouths that permit the introduction of hands or other objects, and recommend daily treatment of stored water.</p><p id="P34">This study had several important limitations. First, we cannot be certain that households did not chlorinate water before our first visit or between visits over the 72 h study period, even though we requested that they not do so. If water had been chlorinated between visits, or non-chlorinated water had been added to containers, then our data would not provide an accurate representation of the behavior of chlorine, ORP, or <italic toggle="yes">E. coli</italic> over time. The steady decrease of TCR and FCR that we observed over time during both study periods suggest that the population adhered to our request. Second, TCR and FCR were detected in some source waters (primarily surface, rain, and spring water); this finding might be related to false positive results related to DPD interference from chemicals present in water and warrants further research. Third, during both study periods, there was attrition in the number of households at each visit as participants used up the water that had been placed in their containers before Time 0 (pre-dosing), which decreased the precision of our findings. Fourth, because clay pots are cumbersome and heavy, we were not able to directly sample stored water but instead relied on the use of a ladle or cup. While we observed household members washing these collection vessels before sampling, we cannot be certain of the effect they had on water quality. Finally, this study was conducted in a limited geographical area and is not representative of the larger Kenyan population, or other populations. Although the findings were consistent with known behavior of residual chlorine in stored water and <italic toggle="yes">E. coli</italic> exposed to chorine, further study in other populations would help determine how broadly applicable our findings are.</p></sec><sec id="S17"><label>5.</label><title>Conclusions</title><list list-type="bullet" id="L2"><list-item><p id="P35">ORP may be a useful proxy to confirm chlorination for periods up to 24 h in plastic containers, but further study is needed to verify its utility.</p></list-item><list-item><p id="P36">Most stored water samples disinfected by chlorination remained significantly less contaminated than source water for up to 72 h, even in the absence of FCR.</p></list-item><list-item><p id="P37">TCR may be a useful proxy indicator of microbiologic water quality because it confirms previous chlorination and is associated with a lower risk of <italic toggle="yes">E. coli</italic> contamination compared to untreated source water.</p></list-item><list-item><p id="P38">Chlorination is more effective in plastic than clay containers presumably because of lower chlorine demand in plastic.</p></list-item></list></sec></body><back><ack id="S18"><title>Acknowledgements</title><p id="P39">We thank our colleagues at the Safe Water and AIDS Project (SWAP) in Kisumu for their diligent work, including field supervisor Owiti Maurice Owiti and field research assistants Juma Grace Akinyi, Okuttah Paul Omondi, Okello Lydia Akoth, and Okoth A Rosemary. We are grateful to study participants in project villages for their gracious willingness to interrupt their daily activities to help in this research. We also thank William J. Murphy for preparing the photographs for publication. This study was supported by a grant from the Clorox Company. We appreciate the interest in this topic and support of Alexis Limberakis and Elias Shaheen. The use of trade names and commercial sources is for identification only and does not imply endorsement by the Centers for Disease Control and Prevention or the U.S. Department of Health and Human Services. 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<publisher-name>WHO</publisher-name>, <publisher-loc>Geneva, Switzerland</publisher-loc>.</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>Fig. 1.</label><caption><p id="P40">Photographs of a clay pot and a plastic safe storage container for household water storage.</p></caption><graphic xlink:href="nihms-1973498-f0001" position="float"/></fig><fig position="float" id="F2"><label>Fig. 2.</label><caption><p id="P41">Crossover trial structure.</p></caption><graphic xlink:href="nihms-1973498-f0002" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>Table 1</label><caption><p id="P42">Turbidity, total chlorine residual (TCR), free chlorine residual (FCR), oxidation-reduction potential (ORP), and <italic toggle="yes">E. coli</italic> contamination in water stored in clay pots at Time 0 (prechlorination) and at 30 min, 24 h, 48 h, and 72 h post-chlorination<xref rid="TFN1" ref-type="table-fn">*</xref>; Kisumu, Kenya, August&#x02013;October 2012.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">Time 0 (n = 55)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 0.5 h (n = 55)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 24 h (n = 49)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 48 h (n = 46)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 72 h (n = 35)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Median turbidity NTU (range)</td><td align="left" valign="top" rowspan="1" colspan="1">37 (0&#x02013;300)</td><td align="left" valign="top" rowspan="1" colspan="1">39 (1&#x02013;387)</td><td align="left" valign="top" rowspan="1" colspan="1">32 (1&#x02013;264)</td><td align="left" valign="top" rowspan="1" colspan="1">37 (1&#x02013;354)</td><td align="left" valign="top" rowspan="1" colspan="1">36 (1&#x02013;129)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity 0&#x02013;</italic>&#x0003c;<italic toggle="yes">10 NTU (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">22 (40%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">22 (40%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">20 (41%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">18 (38%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">15 (43%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity 10&#x02013;100 NTU (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">27 (49%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">26 (47%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">25 (51%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">23 (51%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">18 (51%)</italic>
</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity</italic> &#x0003e; <italic toggle="yes">100 NTU (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">6 (11%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">7 (13%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4 (8%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (11%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">2 (6%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median TCR mg/L (range)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1 (&#x0003c;0.1&#x02013;1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">1.2 (0.2&#x02013;3.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (0.1&#x02013;1.7)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2 (&#x0003c;0.1&#x02013;1.2)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2 (&#x0003c;0.1&#x02013;1.2)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">TCR</italic> &#x0003c; <italic toggle="yes">0.2 mg/L (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">41 (75%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1 (2%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">15 (31%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">23 (51%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">19 (54%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median FCR mg/L (range)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1 (&#x0003c;0.1&#x02013;1.5)</td><td align="left" valign="top" rowspan="1" colspan="1">0.9 (0.1&#x02013;2.2)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2 (&#x0003c;0.1&#x02013;1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1 (&#x0003c;0.1&#x02013;0.8)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1 (&#x0003c;0.1&#x02013;0.8)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">FCR</italic> &#x0003c; <italic toggle="yes">0.2 mg/L (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">42 (76%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">3 (5%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">30 (61%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">31 (67%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">21 (60%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median ORP mV (range)</td><td align="left" valign="top" rowspan="1" colspan="1">393 (196&#x02013;597)</td><td align="left" valign="top" rowspan="1" colspan="1">541 (392&#x02013;757)</td><td align="left" valign="top" rowspan="1" colspan="1">430 (325&#x02013;553)</td><td align="left" valign="top" rowspan="1" colspan="1">367 (294&#x02013;606)</td><td align="left" valign="top" rowspan="1" colspan="1">353 (274&#x02013;531)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">ORP</italic> &#x0003c; <italic toggle="yes">10% change from Time 0 (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4 (7%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">20 (41%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">18 (41%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">12 (34%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">ND <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (17%)<sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">45 (83%)<sup><xref rid="TFN6" ref-type="table-fn">b</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">35 (74%)<sup><xref rid="TFN7" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">21 (48%)<sup><xref rid="TFN8" ref-type="table-fn">d</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">12 (35%)<sup><xref rid="TFN9" ref-type="table-fn">e</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1&#x02013;10 <italic toggle="yes">E. coli</italic> CFU/100 mL(%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (13%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (7%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (9%)</td><td align="left" valign="top" rowspan="1" colspan="1">10 (23%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (21%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">11&#x02013;100 <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">9 (17%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (6%)</td><td align="left" valign="top" rowspan="1" colspan="1">5 (11%)</td><td align="left" valign="top" rowspan="1" colspan="1">10 (23%)</td><td align="left" valign="top" rowspan="1" colspan="1">11 (32%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;100 <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">29 (54%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (4%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (6%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (7%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (12%)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P43">Households were excluded if treated or added to water in container since previous visit.</p></fn><fn id="TFN2"><p id="P44">CFU: colony-forming unit.</p></fn><fn id="TFN3"><p id="P45">ND: no detectable <italic toggle="yes">E. coli</italic> CFU in 20, 50, or 100 mL; volume analyzed varied based on turbidity.</p></fn><fn id="TFN4"><p id="P46">Note: n may vary by small numbers due to missing values; numbers may not add to 100% due to rounding.</p></fn><fn id="TFN5"><label>a</label><p id="P47">n=8 at &#x0003c;1 CFU/100 mL); n = 1 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN6"><label>b</label><p id="P48">n=27 at &#x0003c;1 CFU/100 mL); n = 3 at &#x0003c;2 CFU/100 mL; n = 15 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN7"><label>c</label><p id="P49">n=23 at &#x0003c;1 CFU/100 mL); n = 1 at &#x0003c;2 CFU/100 mL; n = 11 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN8"><label>d</label><p id="P50">n=16 at &#x0003c;1 CFU/100 mL); n = 5 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN9"><label>e</label><p id="P51">n=10 at &#x0003c;1 CFU/100 mL); n = 2 at &#x0003c;5 CFU/100 mL.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2</label><caption><p id="P52">The effect estimate that water treated with sodium hypochlorite and stored in clay pots had detectable <italic toggle="yes">E. coli</italic>, TCR and FCR &#x0003c;0.2 mg/L, and mean difference in ORP estimates, by time interval post-treatment; Kisumu, Kenya, August&#x02013;October 2012.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Time</th><th align="left" valign="middle" rowspan="1" colspan="1">Detectable <italic toggle="yes">E. coli</italic> OR (CI)<sup><xref rid="TFN10" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">TCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN10" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">FCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN10" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">ORP<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup> (mean difference)</th><th align="left" valign="middle" rowspan="1" colspan="1">ORP p value<sup><xref rid="TFN11" ref-type="table-fn">b</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">pre-treatment</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">30 min</td><td align="left" valign="top" rowspan="1" colspan="1">0.039 (0.016&#x02013;0.093)</td><td align="left" valign="top" rowspan="1" colspan="1">0.006 (&#x0003c;0.001&#x02013;0.046)</td><td align="left" valign="top" rowspan="1" colspan="1">0.018 (0.005&#x02013;0.061)</td><td align="left" valign="top" rowspan="1" colspan="1">158.36</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">24 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.071 (0.028&#x02013;0.183)</td><td align="left" valign="top" rowspan="1" colspan="1">0.151 (0.064&#x02013;0.355)</td><td align="left" valign="top" rowspan="1" colspan="1">0.499 (0.214&#x02013;1.166)</td><td align="left" valign="top" rowspan="1" colspan="1">33.24</td><td align="left" valign="top" rowspan="1" colspan="1">0.2629</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">48 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.227 (0.089&#x02013;0.578)</td><td align="left" valign="top" rowspan="1" colspan="1">0.345 (0.147&#x02013;0.81)</td><td align="left" valign="top" rowspan="1" colspan="1">0.640 (0.263&#x02013;1.556)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;14.22</td><td align="left" valign="top" rowspan="1" colspan="1">0.9890</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">72 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.399 (0.144&#x02013;1.108)</td><td align="left" valign="top" rowspan="1" colspan="1">0.390 (0.157&#x02013;0.97)</td><td align="left" valign="top" rowspan="1" colspan="1">0.446 (0.176&#x02013;1.131)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;31.84</td><td align="left" valign="top" rowspan="1" colspan="1">0.4849</td></tr></tbody></table><table-wrap-foot><fn id="TFN10"><label>a</label><p id="P53">OR: odds ratio; CI: 95% confidence interval; estimates derived from GEE logistic regression.</p></fn><fn id="TFN11"><label>b</label><p id="P54">Mean differences derived from random effects linear regression; Tukey-adjusted CI reported.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3</label><caption><p id="P55">Turbidity, total chlorine residual (TCR), free chlorine residual (FCR), oxidation-reduction potential (ORP), and <italic toggle="yes">E. coli</italic> contamination in water stored in plastic safe storage containers at Time 0 (pre-treatment), 30 min, 24 h, 48 h, and 72 h post-chlorination<xref rid="TFN12" ref-type="table-fn">*</xref>; Kisumu, Kenya, August&#x02013;October 2012.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1"/><th align="left" valign="middle" rowspan="1" colspan="1">Time 0 (n = 55)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 0.5 h (n = 55)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 24 h (n = 48)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 48 h (n = 46)</th><th align="left" valign="middle" rowspan="1" colspan="1">Time 72 h (n = 42)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Median turbidity NTU (range)</td><td align="left" valign="top" rowspan="1" colspan="1">28 (0&#x02013;300)</td><td align="left" valign="top" rowspan="1" colspan="1">32 (0&#x02013;316)</td><td align="left" valign="top" rowspan="1" colspan="1">32 (1&#x02013;226)</td><td align="left" valign="top" rowspan="1" colspan="1">30 (1&#x02013;217)</td><td align="left" valign="top" rowspan="1" colspan="1">31 (1&#x02013;308)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity 0&#x02013;</italic>&#x0003c;<italic toggle="yes">10 NTU (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">26 (47%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">26 (47%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">23 (48%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">21 (46%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">19 (45%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity 10&#x02013;100 NTU (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">24 (44%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">24 (44%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">20 (42%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">23 (50%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">19 (45%)</italic>
</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic toggle="yes">Turbidity</italic> &#x0003e; <italic toggle="yes">100NTU(%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (9%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (9%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (10%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">2 (4%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4 (10%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median TCR mg/L (range)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1 (&#x0003c;0.1&#x02013;0.6)</td><td align="left" valign="top" rowspan="1" colspan="1">1.3 (0.1&#x02013;2.8)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7 (0.1&#x02013;2.2)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7 (0.1&#x02013;2.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.6 (&#x0003c;0.1&#x02013;1.5)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">TCR</italic> &#x0003c; <italic toggle="yes">0.2 mg/L (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">42 (76%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">1 (2%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">5 (10%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">8 (17%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">9 (21%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median FCR mg/L (range)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.1 (&#x0003c;0.1&#x02013;0.9)</td><td align="left" valign="top" rowspan="1" colspan="1">0.8 (&#x0003c;0.1&#x02013;2.8)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (&#x0003c;0.1&#x02013;1.9)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (&#x0003c;0.1&#x02013;1.6)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (&#x0003c;0.1&#x02013;2.2)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">FCR</italic> &#x0003c; <italic toggle="yes">0.2 mg/L (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">44 (80%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">4 (7%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">19 (40%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">15 (33%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">13 (31%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Median ORP mV (range)</td><td align="left" valign="top" rowspan="1" colspan="1">387 (252&#x02013;556)</td><td align="left" valign="top" rowspan="1" colspan="1">541 (392&#x02013;747)</td><td align="left" valign="top" rowspan="1" colspan="1">449 (312&#x02013;737)</td><td align="left" valign="top" rowspan="1" colspan="1">428 (270&#x02013;699)</td><td align="left" valign="top" rowspan="1" colspan="1">387 (261&#x02013;641)</td></tr><tr style="border-bottom: solid 1px"><td align="left" valign="top" rowspan="1" colspan="1"><italic toggle="yes">ORP</italic> &#x0003c; <italic toggle="yes">10% change from Time 0 (%)</italic></td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">6 (11%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">7 (15%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">10 (22%)</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">8 (19%)</italic>
</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">ND <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (13%)<sup><xref rid="TFN16" ref-type="table-fn">a</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">48 (91%)<sup><xref rid="TFN17" ref-type="table-fn">b</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">41 (85%)<sup><xref rid="TFN18" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">37 (90%)<sup><xref rid="TFN19" ref-type="table-fn">d</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">33 (80%)<sup><xref rid="TFN20" ref-type="table-fn">e</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">1&#x02013;10 <italic toggle="yes">E. coli</italic> CFU/100 mL(%)</td><td align="left" valign="top" rowspan="1" colspan="1">7 (13%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (6%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (6%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (5%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (10%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">11&#x02013;100 <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">10 (19%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (6%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%) 2</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x0003e;100 <italic toggle="yes">E. coli</italic> CFU/100 mL (%)</td><td align="left" valign="top" rowspan="1" colspan="1">30 (56%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">3 (7%)</td></tr></tbody></table><table-wrap-foot><fn id="TFN12"><label>*</label><p id="P56">Households were excluded if treated or added to water in container since previous visit.</p></fn><fn id="TFN13"><p id="P57">CFU: colony-forming unit.</p></fn><fn id="TFN14"><p id="P58">ND: no detectable <italic toggle="yes">E. coli</italic> CFU in 20, 50, or 100 mL; volume analyzed varied based on turbidity.</p></fn><fn id="TFN15"><p id="P59">Note: n may vary by small numbers due to missing values; numbers may not add to 100% due to rounding.</p></fn><fn id="TFN16"><label>a</label><p id="P60">n=6 at &#x0003c;1 CFU/100 mL); n = 1 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN17"><label>b</label><p id="P61">n=33 at &#x0003c;1 CFU/100 mL); n = 2 at &#x0003c;2 CFU/100 mL; n = 13 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN18"><label>c</label><p id="P62">n=31 at &#x0003c;1 CFU/100 mL); n = 5 at &#x0003c;2 CFU/100 mL; n = 5 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN19"><label>d</label><p id="P63">n=31 at &#x0003c;1 CFU/100 mL); n = 6 at &#x0003c;5 CFU/100 mL.</p></fn><fn id="TFN20"><label>e</label><p id="P64">n=26 at &#x0003c;1 CFU/100 mL); n = 7 at &#x0003c;5 CFU/100 mL.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>Table 4</label><caption><p id="P65">The effect estimate that water treated with sodium hypochlorite and stored in plastic safe storage containers had detectable <italic toggle="yes">E. coli</italic>, TCR and FCR &#x0003c;0.2 mg/L, and mean difference in ORP estimates, by time interval post-treatment; Kisumu, Kenya, August&#x02013;October 2012.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Time</th><th align="left" valign="middle" rowspan="1" colspan="1">Detectable <italic toggle="yes">E. coli</italic> OR (CI)<sup><xref rid="TFN21" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">TCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN21" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">FCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN21" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">ORP<sup><xref rid="TFN22" ref-type="table-fn">b</xref></sup> (mean difference)</th><th align="left" valign="middle" rowspan="1" colspan="1">ORP p value<sup><xref rid="TFN22" ref-type="table-fn">b</xref></sup></th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">pre-treatment</td><td align="left" valign="top" rowspan="1" colspan="1">Ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">ref</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02013;</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">30 min</td><td align="left" valign="top" rowspan="1" colspan="1">0.010 (0.003&#x02013;0.038)</td><td align="left" valign="top" rowspan="1" colspan="1">0.004 (&#x0003c;0.001&#x02013;0.036)</td><td align="left" valign="top" rowspan="1" colspan="1">0.011 (0.003&#x02013;0.042)</td><td align="left" valign="top" rowspan="1" colspan="1">161.27</td><td align="left" valign="top" rowspan="1" colspan="1">&#x0003c;0.0001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">24 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.019 (0.006&#x02013;0.062)</td><td align="left" valign="top" rowspan="1" colspan="1">0.028 (0.009&#x02013;0.091)</td><td align="left" valign="top" rowspan="1" colspan="1">0.124 (0.047&#x02013;0.327)</td><td align="left" valign="top" rowspan="1" colspan="1">59.68</td><td align="left" valign="top" rowspan="1" colspan="1">0.0005</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">48 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.011 (0.003&#x02013;0.045)</td><td align="left" valign="top" rowspan="1" colspan="1">0.054 (0.019&#x02013;0.152)</td><td align="left" valign="top" rowspan="1" colspan="1">0.098 (0.036&#x02013;0.265)</td><td align="left" valign="top" rowspan="1" colspan="1">40.72</td><td align="left" valign="top" rowspan="1" colspan="1">0.0816</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">72 h</td><td align="left" valign="top" rowspan="1" colspan="1">0.026 (0.008&#x02013;0.084)</td><td align="left" valign="top" rowspan="1" colspan="1">0.070 (0.025&#x02013;0.193)</td><td align="left" valign="top" rowspan="1" colspan="1">0.083 (0.030&#x02013;0.232)</td><td align="left" valign="top" rowspan="1" colspan="1">20.15</td><td align="left" valign="top" rowspan="1" colspan="1">0.9068</td></tr></tbody></table><table-wrap-foot><fn id="TFN21"><label>a</label><p id="P66">OR: odds ratio; CI: 95% confidence interval; estimates derived from GEE logistic regression.</p></fn><fn id="TFN22"><label>b</label><p id="P67">Mean differences derived from random effects linear regression; Tukey-adjusted CI reported.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T5" orientation="landscape"><label>Table 5</label><caption><p id="P68">The odds that water treated with sodium hypochlorite and stored in clay pots had detectable <italic toggle="yes">E. coli</italic>, and TCR and FCR values &#x0003c; 0.2 mg/L, and the mean difference in ORP in clay pots, compared to plastic safe storage containers (referent group), by time interval; Kisumu, Kenya, August&#x02013;October 2012.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Time</th><th align="left" valign="middle" rowspan="1" colspan="1">Detectable <italic toggle="yes">E. coli</italic> OR (CI)<sup><xref rid="TFN23" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">p value</th><th align="left" valign="middle" rowspan="1" colspan="1">TCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN23" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">p value</th><th align="left" valign="middle" rowspan="1" colspan="1">FCR &#x0003c;0.2 mg/L OR (CI)<sup><xref rid="TFN23" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">p value</th><th align="left" valign="middle" rowspan="1" colspan="1">Mean ORP<sup><xref rid="TFN23" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">p value</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">pre-treatment</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.20&#x02013;2.22)</td><td align="left" valign="top" rowspan="1" colspan="1">0.5125</td><td align="left" valign="top" rowspan="1" colspan="1">1.02 (0.37&#x02013;2.82)</td><td align="left" valign="top" rowspan="1" colspan="1">0.9738</td><td align="left" valign="top" rowspan="1" colspan="1">0.89 (0.29&#x02013;2.752)</td><td align="left" valign="top" rowspan="1" colspan="1">0.8392</td><td align="left" valign="top" rowspan="1" colspan="1">13.13</td><td align="left" valign="top" rowspan="1" colspan="1">0.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">30 min</td><td align="left" valign="top" rowspan="1" colspan="1">1.87 (0.52&#x02013;6.76)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3392</td><td align="left" valign="top" rowspan="1" colspan="1">0.96 (0.05&#x02013;17.01)</td><td align="left" valign="top" rowspan="1" colspan="1">0.9775</td><td align="left" valign="top" rowspan="1" colspan="1">0.77 (0.14&#x02013;4.13)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7544</td><td align="left" valign="top" rowspan="1" colspan="1">10.22</td><td align="left" valign="top" rowspan="1" colspan="1">0.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">24 h</td><td align="left" valign="top" rowspan="1" colspan="1">1.90 (0.59&#x02013;6.13)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2808</td><td align="left" valign="top" rowspan="1" colspan="1">4.43 (1.27&#x02013;15.46)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0199</td><td align="left" valign="top" rowspan="1" colspan="1">3.05 (1.07&#x02013;8.71)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0370</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;13.31</td><td align="left" valign="top" rowspan="1" colspan="1">0.99</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">48 h</td><td align="left" valign="top" rowspan="1" colspan="1">13.02 (3.42&#x02013;49.62)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0002</td><td align="left" valign="top" rowspan="1" colspan="1">5.92 (1.91&#x02013;18.37)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0023</td><td align="left" valign="top" rowspan="1" colspan="1">6.49 (2.08&#x02013;20.24)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0014</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;41.81</td><td align="left" valign="top" rowspan="1" colspan="1">0.29</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">72 h</td><td align="left" valign="top" rowspan="1" colspan="1">9.29 (2.75&#x02013;31.34)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0004</td><td align="left" valign="top" rowspan="1" colspan="1">5.17 (1.61&#x02013;16.62)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0061</td><td align="left" valign="top" rowspan="1" colspan="1">3.94 (1.20&#x02013;12.99)</td><td align="left" valign="top" rowspan="1" colspan="1">0.0245</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;38.86</td><td align="left" valign="top" rowspan="1" colspan="1">0.49</td></tr></tbody></table><table-wrap-foot><fn id="TFN23"><label>a</label><p id="P69">Random effects models, adjusting for turbidity, stratified results from storage container and time interaction.</p></fn></table-wrap-foot></table-wrap></floats-group></article>