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Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study)
Sentinel physician networks are the method of influenza surveillance recommended by the World Health Organization. Weekly clinical diagnoses based on clinical history are a surveillance method that provides more immediate information. The objective of this study is to evaluate which influenza survei...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779123/ https://www.ncbi.nlm.nih.gov/pubmed/36554929 http://dx.doi.org/10.3390/ijerph192417048 |
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author | Dalmau Llorca, M. Rosa Castro Blanco, Elisabet Aguilar Martín, Carina Carrasco-Querol, Noèlia Hernández Rojas, Zojaina Gonçalves, Alessandra Queiroga Fernández-Sáez, José |
author_facet | Dalmau Llorca, M. Rosa Castro Blanco, Elisabet Aguilar Martín, Carina Carrasco-Querol, Noèlia Hernández Rojas, Zojaina Gonçalves, Alessandra Queiroga Fernández-Sáez, José |
author_sort | Dalmau Llorca, M. Rosa |
collection | PubMed |
description | Sentinel physician networks are the method of influenza surveillance recommended by the World Health Organization. Weekly clinical diagnoses based on clinical history are a surveillance method that provides more immediate information. The objective of this study is to evaluate which influenza surveillance system is capable of the earliest detection of the start of the annual influenza epidemic. We carried out an ecological time-series study based on influenza data from the population of Catalonia from the 2010–2011 to the 2018–2019 seasons. Rates of clinical diagnoses and of confirmed cases in Catalonia were used to study the changes in trends in the different surveillance systems, the differences in area and time lag between the curves of the different surveillance systems using Joinpoint regression, Simpson’s 1/3 method and cross-correlation, respectively. In general, changes in the trend of the curves were detected before the beginning of the epidemic in most seasons, using the rates for the complete seasons and the pre-epidemic rates. No time lag was observed between clinical diagnoses and the total confirmed cases. Therefore, clinical diagnoses in Primary Care could be a useful tool for early detection of the start of influenza epidemics in Catalonia. |
format | Online Article Text |
id | pubmed-9779123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97791232022-12-23 Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) Dalmau Llorca, M. Rosa Castro Blanco, Elisabet Aguilar Martín, Carina Carrasco-Querol, Noèlia Hernández Rojas, Zojaina Gonçalves, Alessandra Queiroga Fernández-Sáez, José Int J Environ Res Public Health Article Sentinel physician networks are the method of influenza surveillance recommended by the World Health Organization. Weekly clinical diagnoses based on clinical history are a surveillance method that provides more immediate information. The objective of this study is to evaluate which influenza surveillance system is capable of the earliest detection of the start of the annual influenza epidemic. We carried out an ecological time-series study based on influenza data from the population of Catalonia from the 2010–2011 to the 2018–2019 seasons. Rates of clinical diagnoses and of confirmed cases in Catalonia were used to study the changes in trends in the different surveillance systems, the differences in area and time lag between the curves of the different surveillance systems using Joinpoint regression, Simpson’s 1/3 method and cross-correlation, respectively. In general, changes in the trend of the curves were detected before the beginning of the epidemic in most seasons, using the rates for the complete seasons and the pre-epidemic rates. No time lag was observed between clinical diagnoses and the total confirmed cases. Therefore, clinical diagnoses in Primary Care could be a useful tool for early detection of the start of influenza epidemics in Catalonia. MDPI 2022-12-19 /pmc/articles/PMC9779123/ /pubmed/36554929 http://dx.doi.org/10.3390/ijerph192417048 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dalmau Llorca, M. Rosa Castro Blanco, Elisabet Aguilar Martín, Carina Carrasco-Querol, Noèlia Hernández Rojas, Zojaina Gonçalves, Alessandra Queiroga Fernández-Sáez, José Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title | Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title_full | Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title_fullStr | Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title_full_unstemmed | Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title_short | Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study) |
title_sort | early detection of the start of the influenza epidemic using surveillance systems in catalonia (previgrip study) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779123/ https://www.ncbi.nlm.nih.gov/pubmed/36554929 http://dx.doi.org/10.3390/ijerph192417048 |
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