Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System

The SENTINEL influenza surveillance system is an important tool for monitoring influenza in Poland. Data from this system are necessary to determine the dynamics of seasonal infections and to announce the epidemic by the country level. For the 2017/18 epidemic season, the dominance of influenza type...

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Autores principales: Łuniewska, K., Szymański, K., Hallmann-Szelińska, E., Kowalczyk, D., Sałamatin, R., Masny, A., Brydak, L. B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123841/
https://www.ncbi.nlm.nih.gov/pubmed/31352577
http://dx.doi.org/10.1007/5584_2019_424
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author Łuniewska, K.
Szymański, K.
Hallmann-Szelińska, E.
Kowalczyk, D.
Sałamatin, R.
Masny, A.
Brydak, L. B.
author_facet Łuniewska, K.
Szymański, K.
Hallmann-Szelińska, E.
Kowalczyk, D.
Sałamatin, R.
Masny, A.
Brydak, L. B.
author_sort Łuniewska, K.
collection PubMed
description The SENTINEL influenza surveillance system is an important tool for monitoring influenza in Poland. Data from this system are necessary to determine the dynamics of seasonal infections and to announce the epidemic by the country level. For the 2017/18 epidemic season, the dominance of influenza type B was recorded and the highest percentage of infections was recorded in the age group 45–64 years. Among the subtypes of influenza type A, A/H1N1/pdm09 was the predominated subtype. Most cases were reported in the age group of 26–44 and 0–4 years. The influenza virus frequently undergoes modifications. Therefore, it is necessary to constantly monitor the emerging strains around the world.
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spelling pubmed-71238412020-04-06 Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System Łuniewska, K. Szymański, K. Hallmann-Szelińska, E. Kowalczyk, D. Sałamatin, R. Masny, A. Brydak, L. B. Pulmonology Article The SENTINEL influenza surveillance system is an important tool for monitoring influenza in Poland. Data from this system are necessary to determine the dynamics of seasonal infections and to announce the epidemic by the country level. For the 2017/18 epidemic season, the dominance of influenza type B was recorded and the highest percentage of infections was recorded in the age group 45–64 years. Among the subtypes of influenza type A, A/H1N1/pdm09 was the predominated subtype. Most cases were reported in the age group of 26–44 and 0–4 years. The influenza virus frequently undergoes modifications. Therefore, it is necessary to constantly monitor the emerging strains around the world. 2019-07-28 /pmc/articles/PMC7123841/ /pubmed/31352577 http://dx.doi.org/10.1007/5584_2019_424 Text en © Springer Nature Switzerland AG 2019 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Łuniewska, K.
Szymański, K.
Hallmann-Szelińska, E.
Kowalczyk, D.
Sałamatin, R.
Masny, A.
Brydak, L. B.
Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title_full Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title_fullStr Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title_full_unstemmed Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title_short Evaluation of the 2017/18 Influenza Epidemic Season in Poland Based on the SENTINEL Surveillance System
title_sort evaluation of the 2017/18 influenza epidemic season in poland based on the sentinel surveillance system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123841/
https://www.ncbi.nlm.nih.gov/pubmed/31352577
http://dx.doi.org/10.1007/5584_2019_424
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