Dataset Information

Sensor-based evaluation of a Urine Trap toilet in a shared bathroom.

ABSTRACT: Urine diversion in a No-Mix Toilet is a promising approach for sustainable fertilizers and reduction of the nutrient load for wastewater treatment; however, user adoption remains a challenge. This study evaluates the Urine Trap, a passive No-Mix toilet design based on the teapot effect, wherein the urine stream inlet is invisible to the user and therefore it does not impact the user experience for increased adoption. This study evaluated the nutrient separation performance of a Urine Trap flush toilet in a bathroom shared by women in two sites in India. Over three different testing periods, 841 uses of this squat plate were recorded in 50 days. Analytical measurements found 36 % separation efficiency for total nitrogen (TN). While effective, the Urine Trap under test by users did not yield a 70-80 % TN separation efficiency observed under engineering characterization. High temporal resolution data from sensors on waste collection tanks, the opening of the bathroom door, and cleansing water flow were used to gain insights into hygiene practices. The data showed a frequent habit of wetting the squat plate during physiological excretion, a hygienic practice that eases cleaning but degrades the teapot separation effect of the Urine Trap design. By using sensors, we demonstrate a method to non-invasively gain quantitative insights into hygiene practices to inform sanitation technologies deployment strategies for improved outcomes.

SUBMITTER: Kachoria P

PROVIDER: S-EPMC9742848 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Sensor-based evaluation of a Urine Trap toilet in a shared bathroom.

Kachoria Prateek P Sasidaran Sarani S Welling Claire M CM Rosario Praveen P Zhou Jin J Chakrabarty Krishnendu K Gründl Harald H Kristoferitsch Lotte L Grego Sonia S

The Science of the total environment 20221003 Pt 1

Urine diversion in a No-Mix Toilet is a promising approach for sustainable fertilizers and reduction of the nutrient load for wastewater treatment; however, user adoption remains a challenge. This study evaluates the Urine Trap, a passive No-Mix toilet design based on the teapot effect, wherein the urine stream inlet is invisible to the user and therefore it does not impact the user experience for increased adoption. This study evaluated the nutrient separation performance of a Urine Trap flush ...[more]

PMID: 36202366

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Project description:BackgroundThe microbiome of built environment surfaces is impacted by the presence of humans. In this study, we tested the hypothesis that analysis of surface swabs from clinic toilet/bathroom yields results correlated with sexually transmitted infection (STI) notifications from corresponding human populations. We extended a previously reported study in which surfaces in toilet/bathroom facilities in primary health clinics in the Australian Northern Territory (NT) were swabbed then tested for nucleic acid from the STI agents Chlamydia trachomatis, Neisseria gonorrhoeae and Trichomonas vaginalis. This was in the context of assessing the potential for such nucleic acid to contaminate specimens collected in such facilities. STIs are notifiable in the NT, thus allowing comparison of swab and notification data.MethodsAn assumption in the design was that while absolute built environment loads of STI nucleic acids will be a function of patient traffic density and facility cleaning protocols, the relative loads of STI nucleic acids from different species will be largely unaffected by these processes. Another assumption was that the proportion of swabs testing positive for STIs provides a measure of surface contamination. Accordingly, "STI profiles" were calculated. These were the proportions that each of the three STIs of interest contributed to the summed STI positive swabs or notifications. Three comparisons were performed, using swab data from clinics in remote Indigenous communities, clinics in small-medium towns, and a single urban sexual health clinic. These data were compared with time and place-matched STI notifications.ResultsThere were significant correlations between swab and notifications data for the both the remote Indigenous and regional data. For the remote Indigenous clinics the p values ranged from 0.041 to 0.0089, depending on data transformation and p value inference method. Further, the swab data appeared to strongly indicate known higher relative prevalence of gonorrhoeae in central Australia than in northern Australia. Similarly, the regional clinics yielded p values from 0.0088-0.0022. In contrast, swab and notifications data from the sexual health clinic were not correlated.DiscussionStrong correlations between swab and notifications were observed. However, there was evidence for limitations of this approach. Despite the correlation observed with the regional clinics data, one clinic yielded zero positive swabs for C. trachomatis, although this STI constituted 25.1% of the corresponding notifications. This could be ascribed to stochastic effects. The lack of correlation observed for sexual health clinic data was also likely due to stochastic effects. It was concluded that toilet/bathroom surface swab sampling has considerable potential for public health surveillance. The approach may be applicable in situations other than primary health clinics, and for targets other than STIs.

Project description:BackgroundDirty shared toilets are a health risk to users in urban slum settlements. For health and non-health benefits among users of shared toilets to be guaranteed, their cleanliness is important. The objective of this study was to investigate the cleanliness situation of shared toilets in Kampala's slums and the psychological and social dilemma factors influencing users' cleaning behaviour and commitment by using the risks, attitudes, norms, ability and self-regulation (RANAS) model and factors derived from the social dilemma theory.MethodsWe conducted a cross-sectional study in three slums of Kampala between December 2012 and January 2013. Data were collected from 424 household respondents that were primarily using shared toilets. Semi-structured questionnaires administered through face-to-face interviews were used in data collection. Linear regression was done for the multivariate analysis to test for the association between respondent cleaning behaviour and a combination of RANAS and social dilemma predictors.ResultsOut of 424 respondents interviewed, 44.3% reported cleaning the shared toilet daily, 34.4% cleaned once or several times a week, 1.4% cleaned every second week, 5.4% cleaned once or several times a month and 14.4% did not participate in cleaning. The main RANAS factors significantly associated with respondents' cleaning behaviour were: attitudinal affective belief associated with cleaning a shared toilet (β = -0.13, P = 0.00) and self-regulating factors, such as coping planning (β = 0.42, P = 0.00), commitment (β = 0.24, P = 0.00), and remembering (β = 0.10, P = 0.01). For social dilemma factors, only the social motive factor was statistically significant (β = 0.15, P = 0.00). The R square for the linear model on factors influencing cleaning behaviour was 0.77 and R square for factors influencing cleaning commitment was 0.70.ConclusionThe RANAS factors provide a more robust understanding of shared toilet users' cleaning behaviour than social dilemma factors. Self-regulating factors and changing the negative affective cleaning feelings are shown to be very important for interventions to increase shared toilet users' collective participation in their cleaning. In addition to RANAS, social dilemma factors have an important influence on slum residents' commitment to clean their shared toilets.

Dataset Information

Sensor-based evaluation of a Urine Trap toilet in a shared bathroom.

Publications

Sensor-based evaluation of a Urine Trap toilet in a shared bathroom.

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