Cargando…

Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic

A resurgence of scarlet fever has caused many pediatric infections in East Asia and the United Kingdom. Although scarlet fever in Taiwan has not been a notifiable infectious disease since 2007, the comprehensive national health insurance data can still track its trend. Here, we used data from the op...

Descripción completa

Detalles Bibliográficos
Autores principales: Tang, Jia-Hong, Tseng, Tzu-Jung, Chan, Ta-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467404/
https://www.ncbi.nlm.nih.gov/pubmed/30990838
http://dx.doi.org/10.1371/journal.pone.0215434
_version_ 1783411267021570048
author Tang, Jia-Hong
Tseng, Tzu-Jung
Chan, Ta-Chien
author_facet Tang, Jia-Hong
Tseng, Tzu-Jung
Chan, Ta-Chien
author_sort Tang, Jia-Hong
collection PubMed
description A resurgence of scarlet fever has caused many pediatric infections in East Asia and the United Kingdom. Although scarlet fever in Taiwan has not been a notifiable infectious disease since 2007, the comprehensive national health insurance data can still track its trend. Here, we used data from the open data portal of the Taiwan Centers for Disease Control. The scarlet fever trend was measured by outpatient and hospitalization rates from 2009 to 2017. In order to elucidate the spatio-temporal hotspots, we developed a new method named the spatio-temporal Gi* statistic, and applied Joinpoint regression to compute the annual percentage change (APC). The overall APCs in outpatient and hospitalization were 15.1% (95% CI: 10.3%-20.2%) and 7.7% (95%CI: 4.5% -10.9%). The major two infected groups were children aged 5–9 (outpatient: 0.138 scarlet fever diagnoses per 1,000 visits; inpatient: 2.579 per 1,000 visits) and aged 3–4 (outpatient: 0.084 per 1,000 visits; inpatient: 1.469 per 1,000 visits). We found the counties in eastern Taiwan and offshore counties had the most hotspots in the outpatient setting. In terms of hospitalization, the hotspots mostly occurred in offshore counties close to China. With the help of the spatio-temporal statistic, health workers can set up enhanced laboratory surveillance in those hotspots.
format Online
Article
Text
id pubmed-6467404
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-64674042019-05-03 Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic Tang, Jia-Hong Tseng, Tzu-Jung Chan, Ta-Chien PLoS One Research Article A resurgence of scarlet fever has caused many pediatric infections in East Asia and the United Kingdom. Although scarlet fever in Taiwan has not been a notifiable infectious disease since 2007, the comprehensive national health insurance data can still track its trend. Here, we used data from the open data portal of the Taiwan Centers for Disease Control. The scarlet fever trend was measured by outpatient and hospitalization rates from 2009 to 2017. In order to elucidate the spatio-temporal hotspots, we developed a new method named the spatio-temporal Gi* statistic, and applied Joinpoint regression to compute the annual percentage change (APC). The overall APCs in outpatient and hospitalization were 15.1% (95% CI: 10.3%-20.2%) and 7.7% (95%CI: 4.5% -10.9%). The major two infected groups were children aged 5–9 (outpatient: 0.138 scarlet fever diagnoses per 1,000 visits; inpatient: 2.579 per 1,000 visits) and aged 3–4 (outpatient: 0.084 per 1,000 visits; inpatient: 1.469 per 1,000 visits). We found the counties in eastern Taiwan and offshore counties had the most hotspots in the outpatient setting. In terms of hospitalization, the hotspots mostly occurred in offshore counties close to China. With the help of the spatio-temporal statistic, health workers can set up enhanced laboratory surveillance in those hotspots. Public Library of Science 2019-04-16 /pmc/articles/PMC6467404/ /pubmed/30990838 http://dx.doi.org/10.1371/journal.pone.0215434 Text en © 2019 Tang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tang, Jia-Hong
Tseng, Tzu-Jung
Chan, Ta-Chien
Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title_full Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title_fullStr Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title_full_unstemmed Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title_short Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
title_sort detecting spatio-temporal hotspots of scarlet fever in taiwan with spatio-temporal gi* statistic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467404/
https://www.ncbi.nlm.nih.gov/pubmed/30990838
http://dx.doi.org/10.1371/journal.pone.0215434
work_keys_str_mv AT tangjiahong detectingspatiotemporalhotspotsofscarletfeverintaiwanwithspatiotemporalgistatistic
AT tsengtzujung detectingspatiotemporalhotspotsofscarletfeverintaiwanwithspatiotemporalgistatistic
AT chantachien detectingspatiotemporalhotspotsofscarletfeverintaiwanwithspatiotemporalgistatistic