Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea

Abstract Influenza is an important public health concern. We propose a new real-time influenza-like illness (ILI) surveillance system that utilizes a nationwide prospective drug utilization monitoring in Korea. We defined ILI-related claims as outpatient claims that contain both antipyretic and anti...

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Autores principales:	HeeKyoung Choi, Won Suk Choi, Euna Han
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0fe205314b604ff4b15f9353720664dd
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spelling	oai:doaj.org-article:0fe205314b604ff4b15f9353720664dd2021-12-02T15:49:39ZSuggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea10.1038/s41598-021-90511-02045-2322https://doaj.org/article/0fe205314b604ff4b15f9353720664dd2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90511-0https://doaj.org/toc/2045-2322Abstract Influenza is an important public health concern. We propose a new real-time influenza-like illness (ILI) surveillance system that utilizes a nationwide prospective drug utilization monitoring in Korea. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims, which was compared to weekly ILI rates from clinical sentinel surveillance data during 2014–2018. We performed a cross-correlation analysis using Pearson’s correlation, time-series analysis to explore actual correlations after removing any dubious correlations due to underlying non-stationarity in both data sets. We used the moving epidemic method (MEM) to estimate an absolute threshold to designate potential influenza epidemics for the weeks with incidence rates above the threshold. We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the 4-years were 84.64 and 86.19 cases per 1000claims for claims data and 12.27 and 16.82 per 1000 patients for sentinel data. The epidemic patterns were more similar in the 2016–2017 and 2017–2018 seasons than the 2014–2015 and 2015–2016 seasons. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system.HeeKyoung ChoiWon Suk ChoiEuna HanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q HeeKyoung Choi Won Suk Choi Euna Han Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
description	Abstract Influenza is an important public health concern. We propose a new real-time influenza-like illness (ILI) surveillance system that utilizes a nationwide prospective drug utilization monitoring in Korea. We defined ILI-related claims as outpatient claims that contain both antipyretic and antitussive agents and calculated the weekly rate of ILI-related claims, which was compared to weekly ILI rates from clinical sentinel surveillance data during 2014–2018. We performed a cross-correlation analysis using Pearson’s correlation, time-series analysis to explore actual correlations after removing any dubious correlations due to underlying non-stationarity in both data sets. We used the moving epidemic method (MEM) to estimate an absolute threshold to designate potential influenza epidemics for the weeks with incidence rates above the threshold. We observed a strong correlation between the two surveillance systems each season. The absolute thresholds for the 4-years were 84.64 and 86.19 cases per 1000claims for claims data and 12.27 and 16.82 per 1000 patients for sentinel data. The epidemic patterns were more similar in the 2016–2017 and 2017–2018 seasons than the 2014–2015 and 2015–2016 seasons. ILI claims data can be loaded to a drug utilization review system in Korea to make an influenza surveillance system.
format	article
author	HeeKyoung Choi Won Suk Choi Euna Han
author_facet	HeeKyoung Choi Won Suk Choi Euna Han
author_sort	HeeKyoung Choi
title	Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
title_short	Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
title_full	Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
title_fullStr	Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
title_full_unstemmed	Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea
title_sort	suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in korea
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0fe205314b604ff4b15f9353720664dd
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Suggestion of a simpler and faster influenza-like illness surveillance system using 2014–2018 claims data in Korea

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