Challenges and opportunities for advancing data-driven WASH programming: Reflections from the UNC Chapel Hill Water and Health Conference side event "DATA: A key for unlocking quality in WASH programming"

James Brown, Syed Imran Ali, Sydney Hubbard, Laura MacDonald, Rachel Peletz, Katy Sill and Mian Zhong

PLOS Water, 2024, vol. 3, issue 11, 1-5

Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/water/article?id=10.1371/journal.pwat.0000316 (text/html)
https://journals.plos.org/water/article/file?id=10 ... 00316&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pwat00:0000316

DOI: 10.1371/journal.pwat.0000316

Access Statistics for this article

More articles in PLOS Water from Public Library of Science
Bibliographic data for series maintained by water ().