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
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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Palacký University Olomouc, Faculty of Medicine and Dentistry
2017-12-01
|
| Series: | Biomedical Papers |
| Subjects: | |
| Online Access: | https://biomed.papers.upol.cz/artkey/bio-201704-0008_Analysis_of_the_seasonal_incidence_of_acute_respiratory_infections_including_influenza_ARI_in_the_Czech_Repub.php |
| _version_ | 1819085167256403968 |
|---|---|
| author | Ondrej Vencalek Jan Kyncl |
| author_facet | Ondrej Vencalek Jan Kyncl |
| author_sort | Ondrej Vencalek |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T21:00:03Z |
| format | Article |
| id | doaj.art-32b217362aef4071ab365956f439fe6d |
| institution | Directory Open Access Journal |
| issn | 1213-8118 1804-7521 |
| language | English |
| last_indexed | 2024-12-21T21:00:03Z |
| publishDate | 2017-12-01 |
| publisher | Palacký University Olomouc, Faculty of Medicine and Dentistry |
| record_format | Article |
| series | Biomedical Papers |
| spelling | doaj.art-32b217362aef4071ab365956f439fe6d2022-12-21T18:50:27ZengPalacký University Olomouc, Faculty of Medicine and DentistryBiomedical Papers1213-81181804-75212017-12-01161438138810.5507/bp.2017.042bio-201704-0008Analysis of the seasonal incidence of acute respiratory infections including influenza (ARI) in the Czech Republic - possible contribution of the functional data boxplot in epidemiologyOndrej Vencalek0Jan Kyncl1Department of Mathematical Analysis and Applications of Mathematics, Faculty of Science, Palacky University Olomouc, Czech RepublicDepartment of Infectious Diseases Epidemiology, Centre for Epidemiology and Microbiology, National Institute of Public Health, Prague, Czech RepublicAims: 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.https://biomed.papers.upol.cz/artkey/bio-201704-0008_Analysis_of_the_seasonal_incidence_of_acute_respiratory_infections_including_influenza_ARI_in_the_Czech_Repub.phpepidemiologyacute respiratory infectionsfunctional data analysisboxplotdata depth |
| spellingShingle | Ondrej Vencalek Jan Kyncl 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 Biomedical Papers epidemiology acute respiratory infections functional data analysis boxplot data depth |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | epidemiology acute respiratory infections functional data analysis boxplot data depth |
| url | https://biomed.papers.upol.cz/artkey/bio-201704-0008_Analysis_of_the_seasonal_incidence_of_acute_respiratory_infections_including_influenza_ARI_in_the_Czech_Repub.php |
| work_keys_str_mv | AT ondrejvencalek analysisoftheseasonalincidenceofacuterespiratoryinfectionsincludinginfluenzaariintheczechrepublicpossiblecontributionofthefunctionaldataboxplotinepidemiology AT jankyncl analysisoftheseasonalincidenceofacuterespiratoryinfectionsincludinginfluenzaariintheczechrepublicpossiblecontributionofthefunctionaldataboxplotinepidemiology |