| Literature DB >> 30646871 |
Fredrick Owino Gudda1, Wilkister Nyaora Moturi2, Omondi Steve Oduor3, Edward Wanee Muchiri4, Jeroen Ensink5.
Abstract
BACKGROUND: Pit latrine operational management and sludge accumulation rate, presents a challenging sanitation problem in low-income urban settlements. However, these challenges have been under-researched. This study was carried out between December 2014 and September 2015 in Nakuru, Kenya. Its objectives were to determine pit latrine management activities and content accumulation rates.Entities:
Keywords: Basic sanitation; Developing country; Faecal sludge; Shared pit latrines
Mesh:
Substances:
Year: 2019 PMID: 30646871 PMCID: PMC6334433 DOI: 10.1186/s12889-019-6403-3
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Study area showing the locations where the sampled pit latrines are located Source: Survey of Kenya Topographical Maps, scale 1: 50,000, using ILRI boundary Shape files: GIS ArcGIS 10.2
Descriptive summary of demographic findings across all the study areas
| Variable | Description | % of respondents |
|---|---|---|
| Gender | Male | 37 |
| Female | 63 | |
| Age of respondents (years) | ≤20 | 12 |
| 21–30 | 15 | |
| 31–40 | 10 | |
| 41–50 | 15 | |
| 51–60 | 27 | |
| > 61 | 21 | |
| Highest education levels | Uneducated | 1 |
| Primary | 37 | |
| Secondary | 17 | |
| Vocational | 10 | |
| Tertiary | 35 | |
| Monthly income (USD) | < 100 | 5 |
| 101–300 | 33 | |
| 301–500 | 15 | |
| 501–700 | 21 | |
| 701–900 | 17 | |
| > 900 | 9 |
a.Total number of respondents-100
b.Data was collected at the beginning of the study and presented as averages for all the study units
Structural properties of pit latrine and extent of sharing
| Variable | Description | % of respondents |
|---|---|---|
| Latrine design (compartments) | 1 | 25 |
| (Observation) | 2 | 31 |
| 3 | 30 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| Duration of use (years) | < 5 | 5 |
| (self-reported) | 6–10 | 23 |
| 11–15 | 25 | |
| 16–20 | 18 | |
| 21–25 | 12 | |
| > 26 | 17 | |
| Sharing by individuals | < 5 | 6 |
| (self-reported) | 6–15 | 13 |
| 16–25 | 17 | |
| 26–35 | 19 | |
| 35–45 | 21 | |
| > 46 | 24 | |
| Sharing with families | < 5 | 31 |
| (self-reported) | 6–15 | 47 |
| 16–25 | 18 | |
| 26–35 | 1 | |
| 36–45 | 2 | |
| > 46 | 1 | |
| Type of Slabs | Timber | 15 |
| (Observation) | Cemented | 78 |
| Earth | 7 |
a.The total number of pit latrines-100
b.Data presented as averages for observations across all the study units
Consecutive ten-months pit latrines users’ operational activities
| Sampling Event (%) | |||||||
|---|---|---|---|---|---|---|---|
| Variable | Description | 1ST | 2ND | 3RD | 4TH | 5TH | Average |
| Anal cleansing materials | Tissue paper | 34 | 41 | 43 | 52 | 65 | 47a |
| (self-reported) | Paper e.g. books | 32 | 24 | 12 | 13 | 9 | 18 |
| Rocks &cobs | 0 | 9 | 21 | 24 | 16 | 14 | |
| Plant leaves | 23 | 18 | 4 | 6 | 19 | 14 | |
| Water | 2 | 2 | 2 | 2 | 2 | 2 | |
| Others e.g. Clothes | 7 | 12 | 3 | 0 | 3 | 5 | |
| Slab cleaning | Families | 26 | 39 | 49 | 62 | 79 | 51a |
| (self-reported) | Random cleaning | 25 | 14 | 12 | 18 | 6 | 15 |
| Property owner | 0 | 0 | 5 | 12 | 13 | 6 | |
| Voluntary | 35 | 29 | 28 | 18 | 12 | 26 | |
| Workers | 0 | 2 | 2 | 4 | 2 | 2 | |
These activities were classified as the predominant operations and behaviour of households
Presented data are percentages
a variable having the highest percentage
Fig. 2Solid waste disposal into the pit latrine (a-book pages & papers, b-diapers)
Pit latrine fill-up rates and annual sludge contribution per person
| Fill-up Rates | Individual (l/p/yr.) | |||||
|---|---|---|---|---|---|---|
| Location | Mean ± SD | Min | Max | Mean ± SD | Min | Max |
| Hilton | 0.78 ± 0.91 | 0.12 | 3.01 | 47.26 | 11.69 | 100.96 |
| Free area | 0.59 ± 0.50 | 0.01 | 1.49 | 34.10 | 16.62 | 75.39 |
| Kaptembwo | 2.16 ± 2.71 | 0.06 | 10.32 | 51.00 | 14.70 | 147.2 |
| Jewadhu | 0.24 ± 0.59 | −0.76 | 1.54 | 31.30 | 14.8 | 59.51 |
| Njokerio | 0.01 ± 0.64 | −0.98 | 1.37 | 47.26 | 21.93 | 101.36 |
Volume changes calculated per person per day and modelled to annual, 10 months sampling duration
Fig. 3Vault accumulation per pit latrine (m3)
Fig. 4Mean annual contribution per person
Fig. 5Spatial and temporal comparison within a location