Analysis of the seasonal incidence of acute respiratory infections including influenza (ARI) in the Czech Republic – Possible contribution of the functional data boxplot in epidemiology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F17%3A73586460" target="_blank" >RIV/61989592:15310/17:73586460 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/75010330:_____/17:00011870

Výsledek na webu

<a href="http://biomed.papers.upol.cz/pdfs/bio/2017/04/08.pdf" target="_blank" >http://biomed.papers.upol.cz/pdfs/bio/2017/04/08.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5507/bp.2017.042" target="_blank" >10.5507/bp.2017.042</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of the seasonal incidence of acute respiratory infections including influenza (ARI) in the Czech Republic – Possible contribution of the functional data boxplot in epidemiology

Popis výsledku v původním jazyce

Aims: The detection of an epidemic outbreak is possible only if the baseline incidence level of a given disease is well defined. The determination of the baseline is complicated by the presence of epidemic outbreaks in historical data. The aim of the paper is to provide a new way of determining the baseline. Methods: The analyzed data containing weekly records on the incidence of acute respiratory infections including influenza (ARI) in the Czech Republic and its regions are taken from the nationwide surveillance system; data on 15 seasons from 2001/02 to 2015/16 are included. Functional boxplots of the data are constructed and five distinct methods (componentwise mean, componentwise median, median, trimmed mean, and adjusted mean) were used for the computation of the baseline level function. Results: It was shown that the methods based on functional data analysis could successfully overcome the problems that arise when the conventional methods are used for the determination of the baseline function. Conclusion: The functional boxplot - a new statistical tool - can bring not only a transparent visualisation of comprehensive data, but can also help epidemiologists and other public health experts to determine the baseline incidence level of a given disease as well as to detect unusual epidemic seasons.

Název v anglickém jazyce

Analysis of the seasonal incidence of acute respiratory infections including influenza (ARI) in the Czech Republic – Possible contribution of the functional data boxplot in epidemiology

Popis výsledku anglicky

Aims: The detection of an epidemic outbreak is possible only if the baseline incidence level of a given disease is well defined. The determination of the baseline is complicated by the presence of epidemic outbreaks in historical data. The aim of the paper is to provide a new way of determining the baseline. Methods: The analyzed data containing weekly records on the incidence of acute respiratory infections including influenza (ARI) in the Czech Republic and its regions are taken from the nationwide surveillance system; data on 15 seasons from 2001/02 to 2015/16 are included. Functional boxplots of the data are constructed and five distinct methods (componentwise mean, componentwise median, median, trimmed mean, and adjusted mean) were used for the computation of the baseline level function. Results: It was shown that the methods based on functional data analysis could successfully overcome the problems that arise when the conventional methods are used for the determination of the baseline function. Conclusion: The functional boxplot - a new statistical tool - can bring not only a transparent visualisation of comprehensive data, but can also help epidemiologists and other public health experts to determine the baseline incidence level of a given disease as well as to detect unusual epidemic seasons.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/GA15-06991S" target="_blank" >GA15-06991S: Analýza funkcionálních dat a související témata</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Biomedical Papers-Olomouc

ISSN

1213-8118

e-ISSN

—

Svazek periodika

161

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

381-388

Kód UT WoS článku

000418005200008

EID výsledku v databázi Scopus

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