Self-reported pain intensity with the numeric reporting scale in adult dengue

10.1371/journal.pone.0096514

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Main Authors: Wong J.G.X., Gan V.C., Ng E.-L., Leo Y.-S., Chan S.-P., Choo R., Lye D.C.
Other Authors: MEDICINE
Format: Article
Published: 2019
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/161415
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spelling sg-nus-scholar.10635-1614152024-04-18T03:02:59Z Self-reported pain intensity with the numeric reporting scale in adult dengue Wong J.G.X. Gan V.C. Ng E.-L. Leo Y.-S. Chan S.-P. Choo R. Lye D.C. MEDICINE SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH abdominal pain acute disease adult age distribution article clinical examination cohort analysis comorbidity demography dengue disease course disease severity ethnic difference female human laboratory test major clinical study male numeric rating scale pain assessment prediction prevalence prospective study self report sex difference Singapore structural equation modeling abdominal pain dengue ethnology middle aged pain measurement pathology procedures young adult Abdominal Pain Adult Dengue Female Humans Male Middle Aged Pain Measurement Prospective Studies Self Report Singapore Young Adult 10.1371/journal.pone.0096514 PLoS ONE 9 5 e96514 2019-11-05T00:37:54Z 2019-11-05T00:37:54Z 2014 Article Wong J.G.X., Gan V.C., Ng E.-L., Leo Y.-S., Chan S.-P., Choo R., Lye D.C. (2014). Self-reported pain intensity with the numeric reporting scale in adult dengue. PLoS ONE 9 (5) : e96514. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0096514 1932-6203 https://scholarbank.nus.edu.sg/handle/10635/161415 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic abdominal pain
acute disease
adult
age distribution
article
clinical examination
cohort analysis
comorbidity
demography
dengue
disease course
disease severity
ethnic difference
female
human
laboratory test
major clinical study
male
numeric rating scale
pain assessment
prediction
prevalence
prospective study
self report
sex difference
Singapore
structural equation modeling
abdominal pain
dengue
ethnology
middle aged
pain measurement
pathology
procedures
young adult
Abdominal Pain
Adult
Dengue
Female
Humans
Male
Middle Aged
Pain Measurement
Prospective Studies
Self Report
Singapore
Young Adult
spellingShingle abdominal pain
acute disease
adult
age distribution
article
clinical examination
cohort analysis
comorbidity
demography
dengue
disease course
disease severity
ethnic difference
female
human
laboratory test
major clinical study
male
numeric rating scale
pain assessment
prediction
prevalence
prospective study
self report
sex difference
Singapore
structural equation modeling
abdominal pain
dengue
ethnology
middle aged
pain measurement
pathology
procedures
young adult
Abdominal Pain
Adult
Dengue
Female
Humans
Male
Middle Aged
Pain Measurement
Prospective Studies
Self Report
Singapore
Young Adult
Wong J.G.X.
Gan V.C.
Ng E.-L.
Leo Y.-S.
Chan S.-P.
Choo R.
Lye D.C.
Self-reported pain intensity with the numeric reporting scale in adult dengue
description 10.1371/journal.pone.0096514
author2 MEDICINE
author_facet MEDICINE
Wong J.G.X.
Gan V.C.
Ng E.-L.
Leo Y.-S.
Chan S.-P.
Choo R.
Lye D.C.
format Article
author Wong J.G.X.
Gan V.C.
Ng E.-L.
Leo Y.-S.
Chan S.-P.
Choo R.
Lye D.C.
author_sort Wong J.G.X.
title Self-reported pain intensity with the numeric reporting scale in adult dengue
title_short Self-reported pain intensity with the numeric reporting scale in adult dengue
title_full Self-reported pain intensity with the numeric reporting scale in adult dengue
title_fullStr Self-reported pain intensity with the numeric reporting scale in adult dengue
title_full_unstemmed Self-reported pain intensity with the numeric reporting scale in adult dengue
title_sort self-reported pain intensity with the numeric reporting scale in adult dengue
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/161415
_version_ 1800913793898774528