High-throughput low-cost nl-qPCR for enteropathogen detection: A proof-of-concept among hospitalized patients in Bangladesh. S1 Dataset
Flaherty, KE
, Grembi, JA
, Ramachandran, VV, Haque, F
, Khatun, S, Rahman, M, Maples, S, Becker, TK, Spormann, AM, Schoolnik, GK, Hryckowian, AJ and Nelson, EJ
(2021).
High-throughput low-cost nl-qPCR for enteropathogen detection: A proof-of-concept among hospitalized patients in Bangladesh. S1 Dataset.
[Dataset].
PLOS ONE.
https://doi.org/10.1371/journal.pone.0257708.s004
Data collected from 961 patients with results of enteropathogen detection by Nanoliter-qPCR. This dataset supports the PLOS ONE paper, "High-throughput low-cost nl-qPCR for enteropathogen detection: A proof-of-concept among hospitalized patients in Bangladesh."
Keywords
Dehydration, Escherichia coli, Shigellosis, Vibrio cholerae, Co-infections, Bangladesh, Case-control studies, ShigellaItem Type | Dataset |
---|---|
Capture method | Aggregation |
Collection Period |
From To 7 September 2015 29 December 2015 |
Date | 1 October 2021 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 24.2356 90.4413 24.1554 90.4413 |
Language(s) of written materials | English |
Creator(s) |
Flaherty, KE |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Florida, Gainesville, United States, Stanford University Center for Innovation in Global Health, Stanford, United States |
Funders |
Project Funder Grant Number Funder URI Translational and Applied Medicine program UNSPECIFIED http://dx.doi.org/10.13039/100014496 |
Date Deposited | 18 Nov 2022 11:09 |
Last Modified | 18 Nov 2022 11:09 |
Publisher | PLOS ONE |
No files available. Please consult associated links.
- Data record – Figshare (Data)
- Data download – Figshare (Online Data Resource)
Downloads
ORCID: https://orcid.org/0000-0002-9874-2912
ORCID: https://orcid.org/0000-0001-6142-4913
ORCID: https://orcid.org/0000-0002-4308-2857