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When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa

Water quality monitoring is important for identifying public health risks and ensuring water safety. However, even when water sources are tested, many institutions struggle to access data for immediate action or long-term decision-making. We analyzed water testing structures among 26 regulated water...

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Detalles Bibliográficos
Autores principales: Kumpel, Emily, Peletz, Rachel, Bonham, Mateyo, Fay, Annette, Cock-Esteb, Alicea, Khush, Ranjiv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586647/
https://www.ncbi.nlm.nih.gov/pubmed/26404343
http://dx.doi.org/10.3390/ijerph120910846
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author Kumpel, Emily
Peletz, Rachel
Bonham, Mateyo
Fay, Annette
Cock-Esteb, Alicea
Khush, Ranjiv
author_facet Kumpel, Emily
Peletz, Rachel
Bonham, Mateyo
Fay, Annette
Cock-Esteb, Alicea
Khush, Ranjiv
author_sort Kumpel, Emily
collection PubMed
description Water quality monitoring is important for identifying public health risks and ensuring water safety. However, even when water sources are tested, many institutions struggle to access data for immediate action or long-term decision-making. We analyzed water testing structures among 26 regulated water suppliers and public health surveillance agencies across six African countries and identified four water quality data management typologies. Within each typology, we then analyzed the potential for information and communication technology (ICT) tools to facilitate water quality information flows. A consistent feature of all four typologies was that testing activities occurred in laboratories or offices, not at water sources; therefore, mobile phone-based data management may be most beneficial for institutions that collect data from multiple remote laboratories. We implemented a mobile phone application to facilitate water quality data collection within the national public health agency in Senegal, Service National de l’Hygiène. Our results indicate that using the phones to transmit more than just water quality data will likely improve the effectiveness and sustainability of this type of intervention. We conclude that an assessment of program structure, particularly its data flows, provides a sound starting point for understanding the extent to which ICTs might strengthen water quality monitoring efforts.
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spelling pubmed-45866472015-10-06 When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa Kumpel, Emily Peletz, Rachel Bonham, Mateyo Fay, Annette Cock-Esteb, Alicea Khush, Ranjiv Int J Environ Res Public Health Article Water quality monitoring is important for identifying public health risks and ensuring water safety. However, even when water sources are tested, many institutions struggle to access data for immediate action or long-term decision-making. We analyzed water testing structures among 26 regulated water suppliers and public health surveillance agencies across six African countries and identified four water quality data management typologies. Within each typology, we then analyzed the potential for information and communication technology (ICT) tools to facilitate water quality information flows. A consistent feature of all four typologies was that testing activities occurred in laboratories or offices, not at water sources; therefore, mobile phone-based data management may be most beneficial for institutions that collect data from multiple remote laboratories. We implemented a mobile phone application to facilitate water quality data collection within the national public health agency in Senegal, Service National de l’Hygiène. Our results indicate that using the phones to transmit more than just water quality data will likely improve the effectiveness and sustainability of this type of intervention. We conclude that an assessment of program structure, particularly its data flows, provides a sound starting point for understanding the extent to which ICTs might strengthen water quality monitoring efforts. MDPI 2015-09-02 2015-09 /pmc/articles/PMC4586647/ /pubmed/26404343 http://dx.doi.org/10.3390/ijerph120910846 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kumpel, Emily
Peletz, Rachel
Bonham, Mateyo
Fay, Annette
Cock-Esteb, Alicea
Khush, Ranjiv
When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title_full When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title_fullStr When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title_full_unstemmed When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title_short When Are Mobile Phones Useful for Water Quality Data Collection? An Analysis of Data Flows and ICT Applications among Regulated Monitoring Institutions in Sub-Saharan Africa
title_sort when are mobile phones useful for water quality data collection? an analysis of data flows and ict applications among regulated monitoring institutions in sub-saharan africa
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4586647/
https://www.ncbi.nlm.nih.gov/pubmed/26404343
http://dx.doi.org/10.3390/ijerph120910846
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