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. 2020 Jul 20;15(7):e0236163. doi: 10.1371/journal.pone.0236163

Child defecation and feces management practices in rural Bangladesh: Associations with fecal contamination, observed hand cleanliness and child diarrhea

Mahfuza Islam 1,*, Mahbubur Rahman 1, Leanne Unicomb 1, Mohammad Abdullah Heel Kafi 1, Mostafizur Rahman 1, Mahfuja Alam 1, Debashis Sen 1, Sharmin Islam 1, Amy J Pickering 2, Alan E Hubbard 3, Stephen P Luby 4, Benjamin F Arnold 5, John M Colford Jr 3, Ayse Ercumen 6
Editor: William Joe7
PMCID: PMC7371197  PMID: 32687513

Abstract

Child open defecation is common in low-income countries and can lead to fecal exposure in the domestic environment. We assessed associations between child feces management practices vs. measures of contamination and child diarrhea among households with children <5 years in rural Bangladesh. We visited 360 households quarterly and recorded caregiver-reported diarrhea prevalence, and defecation and feces disposal practices for children <5 years. We examined caregiver and child hands for visible dirt and enumerated E. coli in child and caregiver hand rinse and stored drinking water samples. Safe child defecation (in latrine/potty) and safe feces disposal (in latrine) was reported by 21% and 23% of households, respectively. Controlling for potential confounders, households reporting unsafe child defecation had higher E. coli prevalence on child hands (prevalence ratio [PR] = 1.12, 1.04–1.20) and in stored water (PR = 1.12,1.03–1.21). Similarly, households reporting unsafe feces disposal had higher E. coli prevalence on child hands (PR = 1.11, 1.02–1.21) and in stored water (PR = 1.10, 1.03–1.18). Effects on E. coli levels were similar. Children in households with unsafe defecation and feces disposal had higher diarrhea prevalence but the associations were not statistically significant. Our findings suggest that unsafe child feces management may present a source of fecal exposure for young children.

Introduction

The proportion of the world population reporting they practiced open defecation fell from 24% in 1990 to 13% in 2015 [1]. In Bangladesh, only 2% of households had no access to a toilet and 4% lacked latrine access in rural areas as of 2013 [2]. However, several recent sanitation trials have shown mixed impact from latrine provision on health outcomes [37] and studies that measured fecal contamination at potential household exposure points found little or no effect of sanitation interventions in reducing fecal indicator bacteria [810], suggesting other sources of fecal contamination that are not adequately eliminated by typical sanitation interventions. One potential source is child open defecation, which remains common in low-income countries. Despite widespread latrine access, Bangladesh has the second lowest levels of reported safe disposal of child feces in the South Central Asia region [11]. Poor child feces management could be a potential contributor to health risk as young children with poorly developed immune systems have higher incidence of enteric infections than other age groups [12] and their feces are also more likely to contain higher quantities of transmissible pathogens [13]. The presence of a latrine may therefore not necessarily minimize exposure to fecal-oral pathogens through child feces [14], especially for young children who primarily spend time in the home environment and have frequent hand contact with feces or with soil contaminated by feces [15].

Fecal-oral pathogens are transmitted through a variety of routes from one host to the next, either as a result of direct transmission through contaminated hands, or indirect transmission via contamination of drinking water, food, and fomites [16, 17]. Young children frequently place their hands in their mouths, and in Bangladesh, it is also common to eat and to be fed by hand [18]. Previous studies in Bangladesh demonstrated that caregiver’s and children’s hands can contain fecal indicator organisms at concentrations of >100 colony forming units (CFU) per two hands [19]. The presence of child feces in the household environment could be a potential contributor to fecal contamination of hands in this setting. Drinking water in rural Bangladeshi households also often contains fecal indicator bacteria. While contamination levels are often low at the source (primarily tubewells), the microbiological water quality deteriorates significantly during storage and handling at home [20, 21]. The presence of child feces in the domestic environment could contribute to fecal contamination of tubewell water through infiltration and of stored drinking water via contaminated containers, hands and fomites during collection, handling and storage.

Few studies to date [2226] have assessed how child defecation and child feces management practices affect contamination along fecal-oral transmission pathways such as drinking water and hands. Understanding the impact of child defecation and child feces management practices on fecal exposure pathways could be important to identify sources of transmission that are not interrupted by conventional sanitation programs and might benefit from targeted interventions. In this study, among households with children <5 years in rural Bangladesh, we aimed to assess the association between reported child defecation/child feces disposal practices and (1) E. coli contamination of child and caregiver hands and stored drinking water, (2) observed cleanliness of caregiver and child hands, and (3) child diarrhea.

Materials and methods

Study design

We conducted a longitudinal study within a randomized controlled trial in rural Bangladesh (WASH Benefits Bangladesh trial, ClinicalTrials.gov NCT01590095). The parent trial was conducted in the Gazipur, Kishoreganj, Mymensingh and Tangail districts of rural Bangladesh [27, 28]. The trial randomly assigned geographically pair-matched clusters of pregnant women to water, sanitation, hygiene and nutrition intervention vs. control arms and followed their birth cohort of “index children” (children of enrolled pregnant women that were in utero at the time of enrollment) for approximately two years to assess intervention impacts on child growth, diarrhea and enteric infections. Additional details of the study design and interventions have been described elsewhere [2729].

We conducted a longitudinal sub-study of environmental contamination among randomly selected households enrolled in the sanitation and control arms of the WASH Benefits trial to leverage the design and infrastructure of the large-scale randomized controlled trial. Households were eligible for enrollment in the sub-study if the index child was alive and available or if there was another child <24 months available in the household. In this analysis, we report measurements from the 360 households enrolled in the control arm of the longitudinal sub-study to assess the relationship between child feces management practices and fecal contamination in the domestic environment.

Data collection

We visited households enrolled in the sub-study approximately every three months for a total of eight visits over 2.5 years between June 2014 and December 2016. At each visit, trained field staff from the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) used a structured questionnaire to record caregiver-reported defecation and feces disposal practices and 2-day and 7-day prevalence of diarrhea (defined as ≥3 loose stools in 24 hours) for children <5 years. The questionnaire also included information on reported water treatment practices, and the field staff conducted spot check observations to observe drinking water storage containers, household hygiene conditions, sanitation facilities, and the presence of any human feces within the compound. At each visit, field workers also examined caregiver and index child hands (finger nails, finger pads and palms of each hand) and recorded the presence of dirt using a three-point scale (visible dirt particles, unclean appearance, clean). Visible dirt particles were defined as specks of dirt, mud, soil, ash or any other visible material; unclean appearance was defined as no visible dirt particles but general uncleanliness; and clean was defined as would appear after someone washes hands or takes a bath.

Sample collection

At each visit, field staff collected 250 mL of drinking water from household storage containers by asking participants to provide a glass of water that they would give their young children to drink and pour it into a sterile Whirlpak bag (Nasco Modesto, Salida, CA). If the caregiver provided water directly from the water source, we collected a sample from the household’s primary drinking water storage container. Index child and mother hand rinse samples were collected by massaging and shaking the hands, one at a time, in 250 mL of sterile water in a sterile Whirlpak bag. All samples were placed on ice and transported to the icddr,b field laboratory for analysis for E. coli within 12 hours of collection.

Sample processing

Samples were processed with the IDEXX Quantitray-2000 system. Stored drinking water was analyzed undiluted in 100 mL aliquots; caregiver and child hand rinse samples were diluted 1:2 by adding 50 mL of distilled water to 50 mL from hand rinse samples for a total volume of 100 mL. Colilert-18 media was added to samples, followed by incubation at 44.5 oC for 18 hours to enumerate the most probable number (MPN) of E. coli [30]. MPN values were derived from the number of fluorescent wells on the trays using the IDEXX Quantitray-2000 MPN table and reported per 100 mL for water samples and per 2 hands for caregiver and child hands. Trays exceeding the upper detection limit of 2419 MPN were classified as too numerous to count (TNTC); the Quantitray-2000 system with this high detection limit was chosen to capture a range of contamination levels.

Quality control

Ten percent field blanks (one blank for every 10 samples) and 5% replicates (repeat aliquots from the same sample) were processed for quality control. Field workers collected field blanks by asking respondents to pour distilled water from a sterile bottle into a Whirlpak as if collecting a stored water sample and by opening and messaging a Whirlpak prefilled with distilled water as if sampling a hand. One laboratory blank was processed per lab technician per day.

Data analysis

For our exposure variables, we defined safe child defecation as reported defecation in a potty or latrine, and unsafe defecation as defecation on a piece of cloth, on the floor/bed inside the house, on the ground in the compound/front yard, or in bushes/fields for the child’s last reported defecation event; defecation in a cloth was considered unsafe defecation as this does not sufficiently isolate child feces from the environment. We defined safe child feces disposal as caregivers reporting that feces were put/rinsed into latrine or specific pit or buried, and unsafe child feces disposal as feces put/rinsed into a drain, ditch, bush or garbage heap or left on the ground for the child’s last reported defecation event. For our outcome variables, we defined E. coli prevalence as the detection of ≥1 MPN E. coli per 100 mL of drinking water and per 2 hands, and we also calculated log10-transformed E. coli counts. We replaced E. coli counts over the detection limit with 2420 MPN and counts for non-detects with 0.5 MPN before calculating the logarithm. We defined dirty hands as those with visible dirt particles on palms, pads or nails of one or both hands.

We compared the prevalence and log10-transformed concentration of E. coli in stored water and hand rinse samples, the prevalence of caregiver and child hands with visible dirt, and the prevalence of diarrhea with 2-day and 7-day symptom recall periods between households with unsafe vs. safe child defecation and child feces disposal practices. We estimated the prevalence ratio (PR) for the binary outcomes and the difference in log-transformed E. coli counts, using pooled data from all follow-up visits. We conducted bivariate and multivariable analyses using generalized linear models (GLM) with robust standard errors to account for the geographical clustering of WASH Benefits households and for repeated measures within the same individual. For each outcome we investigated, we identified potential confounders as factors that are predictive of the dependent variable and also likely to be associated with the independent variables of interest. We considered the following covariates as potential confounders: age of index child, education of mother/caregiver, education of father, household wealth index based on principle components analysis [31, 32], and season. In the multivariable model we included all covariates that were associated with the dependent variable at the p<0.2 level in bivariate analyses.

We also assessed if the associations between child feces management and our study outcomes vary by season. We pre-specified three distinct seasons before examining outcomes: a hot, humid summer (mid-March to mid-June), a cool, rainy monsoon season (mid-June to mid-October) and a cool, dry winter (mid-October to mid-March) to reflect the typical temperature and rainfall patterns of the region [33]. Bangladesh receives over >80% of its rainfall during the monsoon season [34]. Summers and winters are dry, with summer temperatures ranging between 30–40°C and winter temperatures ranging between 10–30°C [33]. For each outcome we investigated, we assessed effect modification by season by including interaction terms between the exposure variable and season in the models. We examined the statistical significance of the interaction terms with a Wald test comparing the models with and without the interaction terms, and we interpreted a p-value <0.2 as evidence of effect modification by season.

Ethical considerations

All households provided written informed consent. The study protocol was reviewed and approved by human subjects review committees at icddr,b (PR-11063), University of California, Berkeley (2011-09-3652), and Stanford University (25863).

Results

Household characteristics

Among the 360 households enrolled in this study, mean age of the children at enrollment was 13 months (SD = 2.9). Mean age of the mothers was 24 years (SD = 5), and about 43% of mothers had secondary and above education. The mean number of children <5 years in the compound was 2 (SD = 1.1). About 34% of the households had natural walls (jute, bamboo or mud), 57% of households had electricity and about 86% of households had a cell phone (Table 1).

Table 1. Enrollment characteristics of study households with at least one child <5 years in rural Bangladesh (N = 360).

Characteristics % (n)
Child age at enrollment in months, mean (SD) 13 (2.9)
Sex of enrolled child
Male 51 (184)
Female 49 (176)
Number of children <5 yrs in the household, mean (SD) 1.3 (0.5)
Number of children <5 yrs in the compound a, mean (SD) 2 (1.1)
Mother’s age in years, mean (SD) 24 (5)
Mother’s education
No or primary education 44 (160)
Secondary and above 56 (200)
Father’s education
No or primary education 57 (206)
Secondary and above 43 (154)
Number of rooms in household, mean (SD) 1.3 (2)
Number of households in the compound a, mean (SD) 1.4 (2.4)
Households with:
Natural wall (made by jute/ bamboo/mud) 34 (124)
Electricity 57 (205)
Refrigerator 10 (35)
Cell phone 86 (309)
TV (color or black and white) 32 (113)

SD: Standard deviation.

a Compound is a household or a group of households around a central courtyard.

The most frequently observed drinking water storage containers were pitchers (55%) and kalash (a lidless aluminum vessel with a narrow mouth but a wide brim that is typically covered using a plate) (38%). Among these, 81% of pitchers and 77% of kalash were observed to be uncovered (Table 2). About 98% of the households had access to a latrine and 64% of households had an improved primary latrine (Table 2). Among the 360 households visited eight times over the study period, there were 2655 reported last child defecation and 2611 reported last child feces disposal events. Among these, 21% (n = 548) reported safe defecation and 23% (n = 607) reported safe feces disposal. Fewer than 1% of households (n = 21) had human feces observed in the compound area. The caregiver-reported prevalence of diarrhea among children <5 years was 7.1% for a 2-day recall window and 11.8% for a 7-day recall window (Table 2).

Table 2. Water, sanitation and hygiene conditions among enrolled households and reported diarrhea for children <5 yearsa.

Characteristics N % (n) or mean (SD)
Water quality indicators
Primary drinking water storage container and covering status
Kalash (narrow-mouth container) 2353 38 (892)
Covered kalash 892 23 (207)
Uncovered kalash 892 77 (685)
Pitcher (wide-mouth container) 2353 55 (1285)
Covered pitcher 1285 19 (245)
Uncovered pitcher 1285 81 (1040)
Household reports treating drinking water 2353 0.4 (10)
Hand hygiene indicators
Observed mother washing hands with only water before collecting hand rinse 2656 18 (486)
Observed mother washing hands with water and soap before collecting hand rinse 2656 3.1 (81)
Observed child washing hands with only water before collecting hand rinse 2656 4.4 (118)
Observed child washing hands with water and soap before collecting hand rinse 2656 0.7 (19)
Sanitation indicators
Household has access to latrine 2656 98 (2619)
Household has improved primary latrine b 2605 64 (1658)
Household has hygienic primary latrine c 2605 38 (983)
Child feces management indicators
Reported safe child defecation for last defecation event d 2655 21 (548)
Reported safe child feces disposal practices for last defecation event e 2611 23 (607)
Observed human feces within the compound 2623 0.8 (21)
Visible dirt on caregiver and child hands
Dirty caregiver hands f 2662 79 (2083)
Dirty child hands f 2616 67 (1775)
Caregiver reported diarrhea for children <5 years
2-day prevalence 2595 7.1 (184)
7-day prevalence 2595 11.8 (305)

aUsing pooled data from all follow-up visits (total 8 visits).

b Defined using WHO/UNICEF Joint Monitoring Programme definition for improved latrine.

c Hygienic latrines include flush/pit latrines with water seal and no visible feces on slab or floor inside and not directly open to the environment.

d Safe child defecation defined as defecation in a potty or latrine.

e Safe child feces disposal defined as feces put/rinsed into latrine or specific pit or buried.

f Dirty hands defined as visible dirt particles on palms, pads or nails of one or both hands.

Hand and drinking water contamination

A total of 2662 caregivers hand rinse samples, 2623 child hand rinse samples and 2319 stored drinking water samples were collected from 360 household over eight visits. Among these, 75% (n = 1988) of caregiver hand rinse samples, 75% (n = 1963) of child hand rinse samples and 81% (n = 1870) of stored drinking water samples were E. coli positive. The geometric mean E. coli count on caregiver and child hands was 1.15 (SD = 0.92) and 1.17 (SD = 0.91) log10 MPN per 2 hands, respectively, and 1.34 (SD = 0.93) per 100 mL for stored drinking water (Table 3). We observed visible dirt on 67% (n = 1775) of child hands and 79% (n = 2083) of caregiver hands (Table 2).

Table 3. Presence and concentration of E. coli in caregiver and child hand rinse and stored drinking water samples among households with child <5 years in rural Bangladesh.

Sample Type N Positive % (n) Geometric mean (GSD) a
Caregiver hands 2662 75 (1988) 1.15 (0.92)
Child hands 2623 75 (1963) 1.17 (0.91)
Stored drinking water 2319 81 (1870) 1.34 (0.93)

GSD: Geometric Standard Deviation.

alog10 MPN per 2 hands for hand rinse samples and per 100 mL for water samples.

Unadjusted analyses

Prevalence of E. coli in stored drinking water and caregiver and child hand rinse samples was significantly higher among households where unsafe (vs. safe) defecation and unsafe (vs. safe) child feces disposal was reported for children <5 years (Table 4). Levels of E. coli in child hand rinse samples were significantly higher among households with unsafe child defecation (Table 5). Levels of E. coli in stored water samples were significantly higher among households with unsafe child defecation and feces disposal (Table 5). There was no association between E. coli levels in caregiver hand rinse samples and reported child defecation child feces disposal practices (Table 5). In households where unsafe child defecation and feces disposal was reported, children were more likely to have visible dirt on their hands but there was also no statistically significant association between the prevalence of visible dirt on caregiver hands and reported child defecation or feces disposal practices (Table 6). Children in households with unsafe child defecation and feces disposal had higher prevalence of diarrhoea measured both with 2-day and 7-day recall but the only statistically significant association was the one between unsafe child feces disposal and 7-day diarrhea prevalence (Table 7).

Table 4. Reported child defecation and child feces disposal practices vs. prevalence of E. coli on caregiver and child hands and in stored drinking water.

E. coli in caregiver hand rinse samples, N = 1988 E. coli in child hand rinse samples, N = 1963 E. coli in stored drinking water samples, N = 1870
N Positive Bivariate modela Multivariable modelb N Positive Bivariate modela Multivariable modelb N Positive Bivariate modela Multivariable modelb
% (n) PR (95% CI) PR (95% CI) % (n) PR (95% CI) PR (95% CI) % (n) PR (95% CI) PR (95% CI)
Last reported child defecation
Safe 574 68 (395) Ref Ref 593 67 (400) Ref Ref 495 72 (357) Ref Ref
Unsafe 2088 76 (1593) 1.11 (1.02, 1.20) 1.05 (0.97, 1.14) 2030 77 (1563) 1.14 (1.07, 1.22) 1.12 (1.04, 1.20) 1824 83 (1513) 1.15 (1.07, 1.24) 1.12 (1.03, 1.21)
Last reported child feces disposal
Safe 607 70 (426) Ref Ref 607 7 (409) Ref Ref 498 73 (366) Ref Ref
Unsafe 2055 76 (1562) 1.08 (1.01, 1.16) 1.03 (0.97, 1.10) 2016 77 (1554) 1.14 (1.06, 1.24) 1.11 (1.02, 1.21) 1821 83 (1504) 1.13 (1.06, 1.20) 1.10 (1.03, 1.18)

PR: Prevalence ratio; CI: Confidence interval.

aWe estimated the prevalence ratio by using generalized linear models (GLM) with robust standard errors to adjust for clustering within study clusters and within repeated measurements from the same household.

b Multivariable model includes all variables associated with E. coli in samples in bivariate analyses at p<0.2 level.

Table 5. Reported child defecation and child feces disposal practices vs. level of E. coli on caregiver and child hands and in stored drinking water.

E. coli in caregiver hand rinse samples, N = 1988 E. coli in child hand rinse samples, N = 1963 E. coli in stored drinking water samples, N = 1870
N Log10 mean MPN (SD) Bivariate modela Multivariable modelb N Log10 mean MPN (SD) Bivariate modela Multivariable modelb N Log10 mean MPN (SD) Bivariate modela Multivariable modelb
Δlog10 (95% CI) Δlog10 (95% CI) Δlog10 (95% CI) Δlog10 (95% CI) Δlog10 (95% CI) Δlog10 (95% CI)
Last reported child defecation
Safe 395 1.08 (0.91) Ref Ref 400 1.06 (0.92) Ref Ref 357 1.19 (0.91) Ref Ref
Unsafe 1593 1.16 (0.92) 0.08 (-0.03, 0.20) 0.04 (-0.07, 0.16) 1563 1.20 (0.90) 0.14 (0.03, 0.25) 0.07 (-0.04, 0.19) 1513 1.37 (0.93) 0.18 (0.06 0.30) 0.15 (0.03, 0.27)
Last reported child feces disposal
Safe 426 1.07 (0.91) Ref Ref 409 1.10 (0.92) Ref Ref 366 1.21 (0.94) Ref Ref
Unsafe 1562 1.17 (0.92) 0.10 (-0.02, 0.21) 0.06 (-0.05, 0.17) 1554 1.19 (0.90) 0.09 (-0.02, 0.20) 0.02 (-0.09, 0.14) 1504 1.37 (0.92) 0.16 (0.04, 0.27) 0.11 (0.01, 0.23)

MPN: Most probable number; CI: Confidence interval; SD: Standard deviation.

aWe estimated the log10 difference by using generalized linear models (GLM) with robust standard errors to adjust for clustering within study clusters and within repeated measurements from the same household.

b Multivariable model includes all variables associated with E. coli in samples in bivariate analyses at p<0.2 level.

Table 6. Reported child defecation and child feces disposal practices vs. observed cleanliness of caregiver and child hands.

Dirty caregiver handsa (N = 1767) Dirty child handsa (N = 2077)
Bivariate modelb Multivariable modelc Bivariate modelb Multivariable modelc
N % (n) PR (95% CI) PR (95% CI) N % (n) PR (95% CI) PR (95% CI)
Last reported child defecation
Safe 574 66 (377) Ref Ref 593 67 (401) Ref Ref
Unsafe 2078 67 (1390) 1.02 (0.90, 1.16) 1.01 (0.89, 1.14) 2023 82 (1676) 1.23 (1.08, 1.39) 1.18 (1.04, 1.33)
Last reported child feces disposal
Safe 607 61 (371) Ref Ref 607 70 (427) Ref Ref
Unsafe 2040 68 (1396) 1.12 (0.97, 1.29) 1.04 (0.90, 1.21) 2004 82 (1650) 1.18 (1.07, 1.31) 1.13 (1.02, 1.25)

PR: Prevalence ratio; CI: Confidence interval.

a Dirty hands defined as visible dirt on palms, pads or nails of one or both hands.

b We estimated the prevalence ratio by using generalized linear models (GLM) with robust standard errors to adjust for clustering within study clusters and within repeated measurements from the same individual.

c Multivariable model includes all variables associated with visible dirt on caregiver and child hands in bivariate analyses at p<0.2 level.

Table 7. Reported child defecation and child feces disposal practices vs. caregiver-reported diarrhea prevalence among children <5 years.

2-day prevalence of diarrhea a (N = 2595) 7-day prevalence of diarrhea (N = 2595)
Bivariate modelb Multivariable modelc Bivariate modelb Multivariable modelc
N % (n) PR (95% CI) PR (95% CI) N % (n) PR (95% CI) PR (95% CI)
Last reported child defecation
Safe 578 4.8 (28) Ref Ref 578 9.0 (52) Ref Ref
Unsafe 2017 7.7 (156) 1.60 (0.72, 3.54) 1.39 (0.61, 3.16) 2017 12.5 (253) 1.39 (0.77, 2.52) 1.20 (0.65, 2.24)
Last reported child feces disposal
Safe 599 4.1 (24) Ref Ref 599 6.2 (37) Ref Ref
Unsafe 1991 8.1 (160) 2.01 (0.90, 4.49) 1.69 (0.70, 4.10) 1991 13.5 (268) 2.18 (1.16, 4.11) 1.74 (0.88, 3.44)

PR: Prevalence ratio; CI: Confidence interval.

a Diarrhea defined as three or more loose or watery stools in 24 hours.

b We estimated the prevalence ratio by using generalized linear models (GLM) with robust standard errors to adjust for clustering within study clusters and within repeated measurements from the same child.

c Multivariable model includes all variables associated with child diarrhea in bivariate analyses at p<0.2 level.

Adjusted analyses

In multivariable models controlling for child age, household wealth and mothers’ education, the prevalence of E. coli in caregiver hand rinse samples was no longer associated with reported child defecation and child feces disposal practices. E. coli prevalence in child hand rinse samples remained significantly higher among households reporting unsafe child defecation (PR: 1.12, 1.04–1.20) and unsafe child feces disposal (PR: 1.11, 1.02–1.21). E. coli prevalence in stored drinking water was also significantly higher in households reporting unsafe child defecation (PR: 1.12, 1.03–1.21) and unsafe child feces disposal (PR: 1.10, 1.03–1.18) (Table 4). E. coli levels on child hand rinse samples were no longer associated with reported child defecation and child feces disposal practices while levels of E. coli in stored drinking water remained significantly higher in households reporting unsafe child defecation (Δlog10: 0.15, 0.03–0.27) and unsafe child feces disposal (Δlog10: 0.11, 0.01–0.23) (Table 5). Similarly, the prevalence of visible dirt on child hands remained significantly higher among households with unsafe defecation and feces disposal (Table 6). The magnitude of effect estimates suggested higher 2-day prevalence of child diarrhea in households with unsafe defecation (PR: 1.39, 0.61–3.16) and unsafe feces disposal (PR: 1.69, 0.70–4.10) but these associations remained statistically non-significant (Table 7). Effects were similar for 7-day prevalence of diarrhea (Table 7).

Effect modification by season

The prevalence of E. coli on caregiver hands was 69% in the summer, 76% during the monsoon and 77% in the winter, while the prevalence of E. coli on child hands was 65% in the summer, 77% during the monsoon and 79% in the winter. The prevalence of E. coli in stored drinking water samples in the summer, monsoon and winter seasons was 69%, 76% and 77%, respectively (S1 Table). The prevalence of visible dirt on caregiver hands was similar (66–67%) across the seasons as was the prevalence of visible dirt on child hands (78–80%) (S1 Table). The caregiver-reported 2-day prevalence of diarrhea among children <5 years was 8.1% in the summer, 6.8% in the monsoon and 7.9% in the winter, while the 7-day prevalence of diarrhoea was 12% in the summer, 11% in the monsoon and 13% in the winter (S1 Table).

Subgroup analyses suggested that the association between unsafe child feces management and E. coli contamination of caregiver hands and stored water was more pronounced during the summer season than during the monsoon or winter seasons (interaction p-values <0.05) (S2 Table).

Discussion

The nationwide estimate for open defecation, as defined by lack of latrine access, is 2% in Bangladesh [2]. In our study, 98% of households had access to a latrine, consistent with these estimates. However, the majority of households reported unsafe child defecation and unsafe disposal of child feces, suggesting that open defecation by young children is common in this setting despite widespread access to on-site sanitation. Our findings are consistent with other studies in rural Bangladesh that found 74% unsafe child defecation and 80% unsafe child feces disposal reported by caregivers [9, 35], as well as three studies in India [23, 24, 36] and one study in Ethiopia reporting unsafe child defecation in 54–80% and unsafe child feces disposal in 67–81% of households [37]. Taken together, these studies suggest that, among households with young children, three quarters could be at risk of pathogen exposure from child feces in the home environment even when a latrine is present.

Our findings of increased fecal contamination associated with unsafe child feces management are consistent with evidence from other settings. A study in India found that E. coli counts on household floors and in soil increased by up to an order of magnitude following child defecation on these surfaces after the feces were removed [23]. A study in Kenya using microbial source tracking methods to distinguish the feces of young children from the feces of older children and adults found that fecal contamination from young children dominated samples collected within the domestic environment, such as hands and surfaces [38].

We did not find an association between reported child defecation or feces disposal practices and E. coli contamination or visual cleanliness of caregiver hands, while child hands in households with unsafe child defecation and feces disposal were more likely to be contaminated by E. coli and be visibly dirty. One possible explanation for the lack of association between contamination of mothers’ hands and child feces management could be that E. coli levels on caregiver hands are highly temporally variable and fluctuate in response to various domestic tasks, which could mask any effect of exposure to child feces [39]. A study in India found an increase in E. coli counts on hands of caregivers after they handled child feces with unsafe methods but not with safe methods [23]. This study measured caregiver hand contamination immediately following feces handling events while we collected hand rinses at an arbitrary time during the interview. Our sampling method likely missed spikes in caregiver hand contamination associated with unsafe feces handling due to temporal variability. In contrast, our findings suggest that open child feces in the domestic environment increase the risk of fecal exposure among young children through contaminated hands. This could be because children spend time exploring the home environment and have frequent hand contact with feces or with soil contaminated by feces. Children’s interactions with the environment increase their risk of exposure to highly contaminated reservoirs like soil contaminated with lead [40], pesticides in agricultural communities [41], arsenic in water [42] or animal feces or animal manure used as cooking fuel [43]. A study in rural Bangladesh found that, in 5% of eating events, children’s hands contacted soil that may be highly contaminated by feces [15]. A study in Tanzania found that children placing contaminated hands in their mouths accounted for 97% of the total quantity of ingested fecal matter whereas only 3% was due to direct consumption of contaminated drinking water [44].

There is mixed evidence on the effect of overall sanitation improvements on hand cleanliness. A systematic review found that sanitation programs did not reduce fecal contamination on most transmission pathways including hands [10]. An observational study in Tanzania showed that improved sanitation was associated with reduction of fecal indicator bacteria on mothers’ hands [45] whereas a school-based randomized controlled trial in Kenya found that provision of latrines was associated with increased hand contamination among students [46], suggesting child hand contamination may be insensitive to sanitation improvements without accompanying improvements in hygiene. It is possible that sanitation programs, which typically focus on the feces of adults and older children, are insufficient to reduce fecal contamination in the home environment without measures for hygienic defecation and feces disposal for young children. The WASH Benefits Bangladesh trial, whose control arm for this study was nested in, had a sanitation intervention arm that received latrine upgrades, as well as child potties and scoops for removal of child and animal feces. The trial found borderline reductions in visible cleanliness of caregiver finger pads and palms, and no reductions in visible cleanliness or E. coli contamination of child hands among participants of the sanitation arm compared to control participants receiving no intervention [9]. This could have occurred because child feces management practices remained poor among recipients of the sanitation intervention despite access to hardware; respondents reported that <20% of children defecated safely in the latrine/potty, <30% of households disposed of child feces in the latrine and <10% of households used the scoop to handle child feces [9].

Our findings also suggest higher levels of E. coli contamination in stored drinking water in households with unsafe child feces management. Our study was not designed to differentiate contamination occurring at the source from contamination introduced during storage at home. The increased contamination we observed could be due to child feces in the compound environment entering the tubewell by subsurface infiltration or through unsealed head works [47, 48], or due to contact with hands and utensils during storage that have been contaminated by exposure to child feces [49, 50]. Several previous randomized control trials that assessed the association between sanitation and drinking water quality found no effect from sanitation [57], while a trial in Tanzania found reduced E. coli in drinking water associated with sanitation improvements [51]. In addition, several observational studies found no association between sanitation and drinking water quality [26, 52, 53], while an observational study in Indonesia found reduced fecal contamination of drinking water associated with improved sanitation [54].

Our findings suggest that unsafe child defecation and unsafe child feces disposal are associated with increased E. coli contamination of child hands and stored drinking water, suggesting the possibility of an increased risk of child gastrointestinal illness. The evidence to date on the association between child feces management and child diarrhea is mixed. Two randomized controlled trials conducted in rural Bangladesh found 27–30% reduction in pediatric diarrhea associated with disposing of child feces in a latrine and no visible feces being present in the household compound [55, 56]. In addition, unsafe child defecation and feces disposal behaviors were found to be associated with an increased risk of diarrheal diseases in an observational study conducted in Indonesia [57]. In contrast, a study in rural Bangladesh did not find any association between unsafe defecation and unsafe feces disposal and child gastrointestinal illness [35]. A recent meta-analysis that assessed the health impact of safe defecation and safe feces disposal showed that, out of five studies reviewed, only two found a reduction in diarrhea while the others did not find an association [58]. A study of Demographic and Health Survey (DHS) data from 34 countries also showed improved child growth associated with safe disposal of child feces [22]. The magnitude of effect estimates in our study suggested higher risk of diarrhea associated with unsafe child feces management; however, we could not rule out chance as the explanation for these associations. This could be because the analysis using diarrhea as the outcome had lower statistical power than those focused on the E. coli outcomes as the prevalence of diarrhea was low compared to the prevalence of E. coli in our samples.

Limitations

Our study had some limitations in terms of exposure and outcome measurements. We recorded caregiver-reported child defecation and child feces management practices which could be subject to courtesy bias and underestimate true levels by underreporting socially undesirable behaviors. Further, E. coli measurements do not distinguish between human vs. animal fecal sources [59] or between E. coli of fecal vs. natural origin [60]; this complicates interpretation of E. coli contamination detected along different pathways. Additionally, we relied on caregiver-reported diarrhea symptoms which can have inaccurate recall and also do not capture asymptomatic sub-clinical infections, which are common in low-income country settings [61].

Our analysis was observational and therefore susceptible to confounding. While we controlled for potential confounding factors in our analysis, it is possible that residual confounding remains from unmeasured factors. For example, households that practice unsafe child feces management could also have poorer hand hygiene and water handling practices. However, we did not find an association between child feces management and contamination of caregiver hands, suggesting no blanket confounding in our findings from unmeasured factors.

Conclusion

Unsafe child defecation and child feces disposal was reported by the majority of households in a rural Bangladeshi setting with widespread access to on-site sanitation. These practices were associated with increased E. coli contamination of child hands and stored drinking water, increased likelihood of visible dirt on child hands, and potentially increased risk of diarrhea. Our findings suggest that child open defecation and poor child feces management may be sources of fecal exposure for young children. Studies should assess if targeted interventions to improve child feces management practices reduce fecal contamination in the domestic environment and child diarrhea.

Supporting information

S1 Table. Mean E. coli prevalence and log10 MPN count by season (summer vs. monsoon vs. winter season).

(DOCX)

S2 Table. Subgroup analysis by summer vs. monsoon/wet vs. winter/dry season on E. coli prevalence.

(DOCX)

Acknowledgments

The authors would like to thank the participants for donating their time and the field team for collecting the data. We also thank all the collaborators engaged in the study.

Data Availability

All relevant data are within the manuscript.

Funding Statement

'This study was funded by National Institutes of Health (NIH) grant number R01HD078912.The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript'.

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Child defecation and child feces management practices in rural Bangladeshi households: Associations with fecal contamination of hands and stored drinking water, observed hand cleanliness and child diarrhea

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Reviewer #1: Overall this is a good study but needs to be reviewed and toned down by the authors for the following checks:

1. Title/s: The authors may revise the language of the title/s to improve readability

2. The review of literature needs to be more critically written: from global statistics, it can be narrowed down to Bangladesh, and more data should be provided particularly in terms of low- and middle-income countries. The gap in literature needs to be highlighted more. Line 52 and 53 – repetition. Overall, the literature review section needs to be worked upon, especially the language to improve readability

3. In the study design section of methodology, line 78 – Instead of ‘longitudinal environmental assessment’, can be mentioned only as Longitudinal study. The study design needs explicit description.

4. In the results section, line number 205 – ‘Human faeces were observed in <1% (n=21) of households’: The sentence is not clear, may be reframed.

5. In Table 1: Enrolment characteristics of study households with at least one child <5 years in rural Bangladesh (N=360), what does ‘Female” in child characteristics denote? Is it percentage of female child in the house? If yes, then why just female and not the male child percentage? – This table needs to be reworked, the variables under each head needs to be reviewed. For example, under ‘Child characteristics’, there is ‘mother’s age in years’, which should go under a different head.

Reviewer #2: The manuscript is technically sound it tends to explain the objective of the study and how they have selected cluster for the observation of sanitation practices. It is aptly written, however i will suggest that they should mention gaps in the existing literature in the initial part of the paper. Further the writing part in the study design, sample collection, and analysis can be simplified for the wider audience for instance using the term index children can be explained and why they have used that term. Over all the paper present clear picture of sanitation practices in Bangladesh.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Poulami Dasgupta

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2020 Jul 20;15(7):e0236163. doi: 10.1371/journal.pone.0236163.r002

Author response to Decision Letter 0


21 Apr 2020

Editor

PLOS ONE

Thank you for your helpful comments and suggestions. Please find attached our responses to reviewers’ comments. Under each response, we have also included the relevant excerpt from the revised manuscript to facilitate reviewing.

Thank you for your consideration, and we look forward to your decision.

Sincerely,

Mahfuza Islam

JOURNAL REQUIREMENTS:

When submitting your revision, we need you to address these additional requirements.

1. Please ensure that your manuscript meets PLOS ONE's style requirements

Response: We have followed PLOS ONE’s required style including formatting and file naming.

2. Thank you for stating the following in the Acknowledgments Section of your manuscript:

'This study was funded by National Institute 435 of Health (NIH), grant number R01HD078912.'

We note that you have provided funding information that is not currently declared in your Funding Statement. However, funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form.

Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement. Currently, your Funding Statement reads as follows:

'The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.'

Response: We have removed the funding related text from the “Acknowledgement” section of the manuscript. Please revise our Funding Statement in the online system as follows.

'This study was funded by National Institutes of Health (NIH) grant number R01HD078912.The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.'

RESPONSES TO REVIEWERS:

RESPONSES TO REVIEWER #1:

Overall this is a good study but needs to be reviewed and toned down by the authors for the following checks:

1. Title/s: The authors may revise the language of the title/s to improve readability

Response: We have revised the study title as follows.

Manuscript Revision:

“Child defecation and feces management practices in rural Bangladesh: Associations with fecal contamination, observed hand cleanliness and child diarrhea”

2. The review of literature needs to be more critically written: from global statistics, it can be narrowed down to Bangladesh, and more data should be provided particularly in terms of low- and middle-income countries. The gap in literature needs to be highlighted more. Line 52 and 53 – repetition. Overall, the literature review section needs to be worked upon, especially the language to improve readability

Response: We have revised the sentence (line 52 and 53) as follows. We have also expanded the literature review in the introduction and discussion sections and improved the language.

Manuscript Revision:

“…Young children frequently place their hands in their mouths, and in Bangladesh, it is also common to eat and to be fed by hand (8). Previous studies in Bangladesh demonstrated that caregiver’ and children’s hands can contain fecal indicator organisms at concentrations of >100 colony forming units (CFU) per two hands (9)...”

Expanded literature in the introduction section

“…However, several recent sanitation trials have shown mixed impact from latrine provision on health outcomes (3-7) and studies that measured fecal contamination at potential household exposure points found little or no effect of sanitation interventions in reducing fecal indicator bacteria (8-10), suggesting other sources of fecal contamination that are not adequately eliminated by typical sanitation interventions. One potential source is child open defecation, which remains common in low-income countries....”

“…Poor child feces management could be a potential contributor to health risk as young children with poorly developed immune systems have higher incidence of enteric infections than other age groups (12) and their feces are also more likely to contain higher quantities of transmissible pathogens (13)....”

Expanded literature in the discussion section

“…Our findings of increased fecal contamination associated with unsafe child feces management are consistent with evidence from other settings. A study in India found that E. coli counts on household floors and in soil increased by up to an order of magnitude following child defecation on these surfaces after the feces were removed (33). A study in Kenya using microbial source tracking methods to distinguish the feces of young children from the feces of older children and adults found that fecal contamination from young children dominated samples collected within the domestic environment, such as hands and surfaces (35)...”

“…A study in India found an increase in E. coli counts on hands of caregivers after they handled child feces with unsafe methods but not with safe methods (33). This study measured caregiver hand contamination immediately following feces handling events while we collected hand rinses at an arbitrary time during the interview. Our sampling method likely missed spikes in caregiver hand contamination associated with unsafe feces handling due to temporal variability...”

“…A study of Demographic and Health Survey (DHS) data from 34 countries also showed improved child growth associated with safe disposal of child feces (57)...”

3. In the study design section of methodology, line 78 – Instead of ‘longitudinal environmental assessment’, can be mentioned only as Longitudinal study. The study design needs explicit description.

Response: We have added additional details of the study design and changed the wording to longitudinal study. We have also added citations for previous publications that describe additional details of the study design and implementation.

Manuscript Revision:

“…We conducted a longitudinal study within a randomized controlled trial in rural Bangladesh (WASH Benefits Bangladesh trial, ClinicalTrials.gov NCT01590095). The parent trial was conducted in the Gazipur, Kishoreganj, Mymensingh and Tangail districts of rural Bangladesh (18, 19). The trial randomly assigned geographically pair-matched clusters of pregnant women to water, sanitation, hygiene and nutrition intervention vs. control arms and followed their birth cohort of “index children” (children of enrolled pregnant women were in utero at the time of enrollment) for approximately two years to assess intervention impacts on child growth, diarrhea and enteric infections. Additional details of the study design and interventions have been described elsewhere (18-20)...”

4. In the results section, line number 205 – ‘Human faeces were observed in <1% (n=21) of households’: The sentence is not clear, may be reframed.

Response: We have revised the sentence as follows.

Manuscript Revision:

“…Fewer than 1% of households (n=21) had human feces observed in the compound area...”

5. In Table 1: Enrolment characteristics of study households with at least one child <5 years in rural Bangladesh (N=360), what does ‘Female” in child characteristics denote? Is it percentage of female child in the house? If yes, then why just female and not the male child percentage? – This table needs to be reworked, the variables under each head needs to be reviewed. For example, under ‘Child characteristics’, there is ‘mother’s age in years’, which should go under a different head.

Response: Yes, it is the percentage of female children of the households which was 49%, and the rest of the 51% were male children. We have added the percentage of the male children to the table.

We have also changed the heading to “Characteristics” instead of “Child characteristics”.

RESPONSES TO REVIEWER #2:

Reviewer #2: The manuscript is technically sound it tends to explain the objective of the study and how they have selected cluster for the observation of sanitation practices. It is aptly written, however i will suggest that they should mention gaps in the existing literature in the initial part of the paper. Further the writing part in the study design, sample collection, and analysis can be simplified for the wider audience for instance using the term index children can be explained and why they have used that term. Over all the paper present clear picture of sanitation practices in Bangladesh.

Response: Thanks for your positive comments. We have simplified the language throughout the manuscript and we have added the definition of “index children” as follows. We have also expanded the literature review in the introduction and discussion sections.

Manuscript Revision:

“…The trial randomly assigned geographically pair-matched clusters of pregnant women to water, sanitation, hygiene and nutrition intervention vs. control arms and followed their birth cohort of “index children” (children of enrolled pregnant women that were in utero at the time of enrollment) for approximately two years to assess intervention impacts on child growth, diarrhea and enteric infections. Additional details of the study design and interventions have been described elsewhere (18-20)...”

Expanded literature in the introduction section

“…However, several recent sanitation trials have shown mixed impact from latrine provision on health outcomes (3-7) and studies that measured fecal contamination at potential household exposure points found little or no effect of sanitation interventions in reducing fecal indicator bacteria (8-10), suggesting other sources of fecal contamination that are not adequately eliminated by typical sanitation interventions. One potential source is child open defecation, which remains common in low-income countries....”

“…Poor child feces management could be a potential contributor to health risk as young children with poorly developed immune systems have higher incidence of enteric infections than other age groups (12) and their feces are also more likely contain higher quantities of transmissible pathogens (13)....”

Expanded literature in the discussion section

“…Our findings of increased fecal contamination associated with unsafe child feces management are consistent with evidence from other settings. A study in India found that E. coli counts on household floors and in soil increased by up to an order of magnitude following child defecation on these surfaces after the feces were removed (33). A study in Kenya using microbial source tracking methods to distinguish the feces of young children from the feces of older children and adults found that fecal contamination from young children dominated samples collected within the domestic environment, such as hands and surfaces (35)...”

“…A study in India found an increase in E. coli counts on hands of caregivers after they handled child feces with unsafe methods but not with safe methods (33). This study measured caregiver hand contamination immediately following feces handling events while we collected hand rinses at an arbitrary time during the interview. Our sampling method likely missed spikes in caregiver hand contamination associated with unsafe feces handling due to temporal variability...”

“…A study of Demographic and Health Survey (DHS) data from 34 countries also showed improved child growth associated with safe disposal of child feces (57)...”

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 1

William Joe

4 Jun 2020

PONE-D-20-03333R1

Child defecation and feces management practices in rural Bangladesh: Associations with fecal contamination, observed hand cleanliness and child diarrhea

PLOS ONE

Dear Dr. Islam,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jul 19 2020 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

William Joe

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: I Don't Know

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I have attached the manuscript with track changes. There are 2 very small changes from my side which can be included. The paper reads really well and is easily understandable.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Poulami Dasgupta

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

Attachment

Submitted filename: Manuscript PLOS suggestions.docx

PLoS One. 2020 Jul 20;15(7):e0236163. doi: 10.1371/journal.pone.0236163.r004

Author response to Decision Letter 1


11 Jun 2020

I would like to thank both reviewers for giving time to review this manuscript and for providing their valuable comments to improve this.

Attachment

Submitted filename: Response to Reviewers.docx

Decision Letter 2

William Joe

1 Jul 2020

Child defecation and feces management practices in rural Bangladesh: Associations with fecal contamination, observed hand cleanliness and child diarrhea

PONE-D-20-03333R2

Dear Dr. Islam,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

William Joe

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The paper really reads well now. No further changes from my side. I wish the authors good luck . Best wishes.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Poulami Dasgupta

Reviewer #2: No

Acceptance letter

William Joe

8 Jul 2020

PONE-D-20-03333R2

Child defecation and feces management practices in rural Bangladesh: Associations with fecal contamination, observed hand cleanliness and child diarrhea

Dear Dr. Islam:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. William Joe

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Mean E. coli prevalence and log10 MPN count by season (summer vs. monsoon vs. winter season).

    (DOCX)

    S2 Table. Subgroup analysis by summer vs. monsoon/wet vs. winter/dry season on E. coli prevalence.

    (DOCX)

    Attachment

    Submitted filename: Response to Reviewers.docx

    Attachment

    Submitted filename: Manuscript PLOS suggestions.docx

    Attachment

    Submitted filename: Response to Reviewers.docx

    Data Availability Statement

    All relevant data are within the manuscript.


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