Estimating cholera incidence with cross-sectional serology.
Adolescent
Adult
Antibodies, Bacterial
/ blood
Antibody Formation
/ immunology
Area Under Curve
Bangladesh
/ epidemiology
Biomarkers
/ blood
Child
Child, Preschool
Cholera
/ blood
Cohort Studies
Computer Simulation
Cross-Sectional Studies
Humans
Incidence
Kinetics
Machine Learning
Middle Aged
Models, Biological
ROC Curve
Reproducibility of Results
Serologic Tests
Young Adult
Journal
Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086
Informations de publication
Date de publication:
20 02 2019
20 02 2019
Historique:
received:
29
06
2018
revised:
09
11
2018
accepted:
30
01
2019
entrez:
22
2
2019
pubmed:
23
2
2019
medline:
23
2
2020
Statut:
ppublish
Résumé
The development of new approaches to cholera control relies on an accurate understanding of cholera epidemiology. However, most information on cholera incidence lacks laboratory confirmation and instead relies on surveillance systems reporting medically attended acute watery diarrhea. If recent infections could be identified using serological markers, cross-sectional serosurveys would offer an alternative approach to measuring incidence. Here, we used 1569 serologic samples from a cohort of cholera cases and their uninfected contacts in Bangladesh to train machine learning models to identify recent
Identifiants
pubmed: 30787170
pii: 11/480/eaau6242
doi: 10.1126/scitranslmed.aau6242
pmc: PMC6430585
mid: NIHMS1018414
pii:
doi:
Substances chimiques
Antibodies, Bacterial
0
Biomarkers
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : R01 AI130378
Pays : United States
Organisme : NIAID NIH HHS
ID : K08 AI100923
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI135115
Pays : United States
Organisme : NIAID NIH HHS
ID : K08 AI123494
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI106878
Pays : United States
Organisme : NIAID NIH HHS
ID : U01 AI058935
Pays : United States
Organisme : FIC NIH HHS
ID : D43 TW005572
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI103055
Pays : United States
Organisme : NIAID NIH HHS
ID : R37 AI106878
Pays : United States
Organisme : FIC NIH HHS
ID : K43 TW010362
Pays : United States
Informations de copyright
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
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