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Impact of sampling depth on pathogen detection in pit latrines
Wastewater based epidemiology (WBE) is increasingly used to provide decision makers with actionable data about community health. WBE efforts to date have primarily focused on sewer-transported wastewater in high-income countries, but at least 1.8 billion people in low- and middle-income countries (L...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954291/ https://www.ncbi.nlm.nih.gov/pubmed/33651818 http://dx.doi.org/10.1371/journal.pntd.0009176 |
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author | Capone, Drew Chigwechokha, Petros de los Reyes, Francis L. Holm, Rochelle H. Risk, Benjamin B. Tilley, Elizabeth Brown, Joe |
author_facet | Capone, Drew Chigwechokha, Petros de los Reyes, Francis L. Holm, Rochelle H. Risk, Benjamin B. Tilley, Elizabeth Brown, Joe |
author_sort | Capone, Drew |
collection | PubMed |
description | Wastewater based epidemiology (WBE) is increasingly used to provide decision makers with actionable data about community health. WBE efforts to date have primarily focused on sewer-transported wastewater in high-income countries, but at least 1.8 billion people in low- and middle-income countries (LMIC) use onsite sanitation systems such as pit latrines and septic tanks. Like wastewater, fecal sludges from such systems offer similar advantages in community pathogen monitoring and other epidemiological applications. To evaluate the distribution of enteric pathogens inside pit latrines–which could inform sampling methods for WBE in LMIC settings unserved by sewers–we collected fecal sludges from the surface, mid-point, and maximum-depth of 33 pit latrines in urban and peri-urban Malawi and analyzed the 99 samples for 20 common enteric pathogens via multiplex quantitative reverse transcription PCR. Using logistic regression adjusted for household population, latrine sharing, the presence of a concrete floor or slab, water source, and anal cleansing materials, we found no significant difference in the odds of detecting the 20 pathogens from the mid-point (adjusted odds ratio, aOR = 1.1; 95% confidence interval = 0.73, 1.6) and surface samples (aOR = 0.80, 95% CI = 0.54, 1.2) compared with those samples taken from the maximum depth. Our results suggest that, for the purposes of routine pathogen monitoring, pit latrine sampling depth does not strongly influence the odds of detecting enteric pathogens by molecular methods. A single sample from the pit latrines’ surface, or a composite of surface samples, may be preferred as the most recent material contributed to the pit and may be easiest to collect. |
format | Online Article Text |
id | pubmed-7954291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79542912021-03-22 Impact of sampling depth on pathogen detection in pit latrines Capone, Drew Chigwechokha, Petros de los Reyes, Francis L. Holm, Rochelle H. Risk, Benjamin B. Tilley, Elizabeth Brown, Joe PLoS Negl Trop Dis Research Article Wastewater based epidemiology (WBE) is increasingly used to provide decision makers with actionable data about community health. WBE efforts to date have primarily focused on sewer-transported wastewater in high-income countries, but at least 1.8 billion people in low- and middle-income countries (LMIC) use onsite sanitation systems such as pit latrines and septic tanks. Like wastewater, fecal sludges from such systems offer similar advantages in community pathogen monitoring and other epidemiological applications. To evaluate the distribution of enteric pathogens inside pit latrines–which could inform sampling methods for WBE in LMIC settings unserved by sewers–we collected fecal sludges from the surface, mid-point, and maximum-depth of 33 pit latrines in urban and peri-urban Malawi and analyzed the 99 samples for 20 common enteric pathogens via multiplex quantitative reverse transcription PCR. Using logistic regression adjusted for household population, latrine sharing, the presence of a concrete floor or slab, water source, and anal cleansing materials, we found no significant difference in the odds of detecting the 20 pathogens from the mid-point (adjusted odds ratio, aOR = 1.1; 95% confidence interval = 0.73, 1.6) and surface samples (aOR = 0.80, 95% CI = 0.54, 1.2) compared with those samples taken from the maximum depth. Our results suggest that, for the purposes of routine pathogen monitoring, pit latrine sampling depth does not strongly influence the odds of detecting enteric pathogens by molecular methods. A single sample from the pit latrines’ surface, or a composite of surface samples, may be preferred as the most recent material contributed to the pit and may be easiest to collect. Public Library of Science 2021-03-02 /pmc/articles/PMC7954291/ /pubmed/33651818 http://dx.doi.org/10.1371/journal.pntd.0009176 Text en © 2021 Capone et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Capone, Drew Chigwechokha, Petros de los Reyes, Francis L. Holm, Rochelle H. Risk, Benjamin B. Tilley, Elizabeth Brown, Joe Impact of sampling depth on pathogen detection in pit latrines |
title | Impact of sampling depth on pathogen detection in pit latrines |
title_full | Impact of sampling depth on pathogen detection in pit latrines |
title_fullStr | Impact of sampling depth on pathogen detection in pit latrines |
title_full_unstemmed | Impact of sampling depth on pathogen detection in pit latrines |
title_short | Impact of sampling depth on pathogen detection in pit latrines |
title_sort | impact of sampling depth on pathogen detection in pit latrines |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7954291/ https://www.ncbi.nlm.nih.gov/pubmed/33651818 http://dx.doi.org/10.1371/journal.pntd.0009176 |
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