Cargando…

Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study

Evidence of exposure to enteric pathogens through the air and associated risk of infection is scarce in the literature outside of animal- or human-waste handling settings. Cities with poor sanitation are important locations to investigate this aerial exposure pathway as their rapid growth will pose...

Descripción completa

Detalles Bibliográficos
Autores principales: Rocha-Melogno, Lucas, Ginn, Olivia, Bailey, Emily S., Soria, Freddy, Andrade, Marcos, Bergin, Michael H., Brown, Joe, Gray, Gregory C., Deshusses, Marc A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233250/
https://www.ncbi.nlm.nih.gov/pubmed/32425257
http://dx.doi.org/10.1016/j.scitotenv.2020.139495
_version_ 1783535513664225280
author Rocha-Melogno, Lucas
Ginn, Olivia
Bailey, Emily S.
Soria, Freddy
Andrade, Marcos
Bergin, Michael H.
Brown, Joe
Gray, Gregory C.
Deshusses, Marc A.
author_facet Rocha-Melogno, Lucas
Ginn, Olivia
Bailey, Emily S.
Soria, Freddy
Andrade, Marcos
Bergin, Michael H.
Brown, Joe
Gray, Gregory C.
Deshusses, Marc A.
author_sort Rocha-Melogno, Lucas
collection PubMed
description Evidence of exposure to enteric pathogens through the air and associated risk of infection is scarce in the literature outside of animal- or human-waste handling settings. Cities with poor sanitation are important locations to investigate this aerial exposure pathway as their rapid growth will pose unprecedented challenges in waste management. To address this issue, simple surveillance methods are needed. Therefore, the objectives of this study were to optimize a community exposure bioaerosol surveillance strategy for urban outdoor locations with poor sanitation, and to determine which bioaerosols could contribute to exposure. Passive and active bioaerosol sampling methods were used to characterize the fate and transport of sanitation-related bioaerosols during the rainy and dry seasons in La Paz, Bolivia. Median coliform bacteria fluxes were 71 CFU/(m(2) × h) during the rainy season and 64 CFU/(m(2) × h) during the dry season, with 38% of the dry season samples testing positive for E. coli. Wind speed, relative humidity and UVB irradiance were identified as significant covariates to consider in bioaerosol transport models in La Paz. Active sampling yielded one positive sample (10%) for human adenovirus (HadV) and one sample (10%) for influenza A virus during the rainy season. HadV was detected at the site with the highest bacterial flux. Four samples (8%) were positive for influenza A virus in the dry season. These findings suggest that aerosols can contribute to community exposure to potentially pathogenic microorganisms in cities with poor sanitation. The use of passive sampling, despite its limitations, can provide quantitative data on microorganisms' viability within realistic timeframes of personal exposure.
format Online
Article
Text
id pubmed-7233250
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-72332502020-05-18 Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study Rocha-Melogno, Lucas Ginn, Olivia Bailey, Emily S. Soria, Freddy Andrade, Marcos Bergin, Michael H. Brown, Joe Gray, Gregory C. Deshusses, Marc A. Sci Total Environ Article Evidence of exposure to enteric pathogens through the air and associated risk of infection is scarce in the literature outside of animal- or human-waste handling settings. Cities with poor sanitation are important locations to investigate this aerial exposure pathway as their rapid growth will pose unprecedented challenges in waste management. To address this issue, simple surveillance methods are needed. Therefore, the objectives of this study were to optimize a community exposure bioaerosol surveillance strategy for urban outdoor locations with poor sanitation, and to determine which bioaerosols could contribute to exposure. Passive and active bioaerosol sampling methods were used to characterize the fate and transport of sanitation-related bioaerosols during the rainy and dry seasons in La Paz, Bolivia. Median coliform bacteria fluxes were 71 CFU/(m(2) × h) during the rainy season and 64 CFU/(m(2) × h) during the dry season, with 38% of the dry season samples testing positive for E. coli. Wind speed, relative humidity and UVB irradiance were identified as significant covariates to consider in bioaerosol transport models in La Paz. Active sampling yielded one positive sample (10%) for human adenovirus (HadV) and one sample (10%) for influenza A virus during the rainy season. HadV was detected at the site with the highest bacterial flux. Four samples (8%) were positive for influenza A virus in the dry season. These findings suggest that aerosols can contribute to community exposure to potentially pathogenic microorganisms in cities with poor sanitation. The use of passive sampling, despite its limitations, can provide quantitative data on microorganisms' viability within realistic timeframes of personal exposure. Elsevier B.V. 2020-10-10 2020-05-18 /pmc/articles/PMC7233250/ /pubmed/32425257 http://dx.doi.org/10.1016/j.scitotenv.2020.139495 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Rocha-Melogno, Lucas
Ginn, Olivia
Bailey, Emily S.
Soria, Freddy
Andrade, Marcos
Bergin, Michael H.
Brown, Joe
Gray, Gregory C.
Deshusses, Marc A.
Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title_full Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title_fullStr Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title_full_unstemmed Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title_short Bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: A one health cross-sectional study
title_sort bioaerosol sampling optimization for community exposure assessment in cities with poor sanitation: a one health cross-sectional study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7233250/
https://www.ncbi.nlm.nih.gov/pubmed/32425257
http://dx.doi.org/10.1016/j.scitotenv.2020.139495
work_keys_str_mv AT rochamelognolucas bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT ginnolivia bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT baileyemilys bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT soriafreddy bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT andrademarcos bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT berginmichaelh bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT brownjoe bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT graygregoryc bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy
AT deshussesmarca bioaerosolsamplingoptimizationforcommunityexposureassessmentincitieswithpoorsanitationaonehealthcrosssectionalstudy