2012
DOI: 10.1021/es2036702
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Making Sanitation Count: Developing and Testing a Device for Assessing Latrine Use in Low-Income Settings

Abstract: While efforts are underway to expand latrine coverage to an estimated 2.6 billion people who lack access to improved sanitation, there is evidence that actual use of latrines is suboptimal, limiting the potential health and environmental gains from containment of human excreta. We developed a passive latrine use monitor (PLUM) and compared its ability to measure latrine activity with structured observation. Each PLUM consisted of a passive infrared motion detector, microcontroller, data storage card, and batte… Show more

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Cited by 66 publications
(55 citation statements)
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References 15 publications
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“…There are issues related to the use (Clasen et al 2012), acceptance (Nayono et al 2010), and diffusion (Jenkins and Cairncross 2010) of latrines in developing countries, influence of latrines on water quality in sandy aquifers (Knappett et al 2012), degree of improvement realized (Exley et al 2015), methane (Reid et al 2014), and volatile compound (Lin et al 2013) emissions, microbial fuel cells for latrines (Castro et al 2014), and the spread of fecal matter from latrine floors (Pickering et al 2012) that are also important, but beyond the scope of this work.…”
Section: Resultsmentioning
confidence: 99%
“…There are issues related to the use (Clasen et al 2012), acceptance (Nayono et al 2010), and diffusion (Jenkins and Cairncross 2010) of latrines in developing countries, influence of latrines on water quality in sandy aquifers (Knappett et al 2012), degree of improvement realized (Exley et al 2015), methane (Reid et al 2014), and volatile compound (Lin et al 2013) emissions, microbial fuel cells for latrines (Castro et al 2014), and the spread of fecal matter from latrine floors (Pickering et al 2012) that are also important, but beyond the scope of this work.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally the use of the smartphone application for the structured observation allowed for automatic logging of the date and time. This is important as manually recording time can lead to discrete data [4] that will not perfectly correlate to sensor data. Structured observation and sensor data were aggregated by R polling the DoForms and MySQL databases, and correlated based on the barcode of the sensor observed and the timestamps of each observed event and each sensor-detected event.…”
Section: Validationmentioning
confidence: 99%
“…More recently, a study conducted by the London School of Hygiene and Tropical Medicine used structured observations to validate data. By using a motion detector to track latrine use, they determined that structured observations highly influenced user behavior [4]. Additionally, it is known that the act of surveying can itself impact later behavior [5].…”
Section: Introductionmentioning
confidence: 99%
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“…Still, access does not necessarily imply use, and even if use begins high, it often declines rapidly over time, especially once the daily burden of cleaning and maintenance become evident [24][25][26][27]. After decades of counting toilets, advanced methods to by-pass unreliable stated use measurements or invasive observations are now only in development [28].…”
Section: Introductionmentioning
confidence: 99%