Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dalmau Llorca, M. Rosa, Castro Blanco, Elisabet, Aguilar Martín, Carina, Carrasco-Querol, Noèlia, Hernández Rojas, Zojaina, Gonçalves, Alessandra Queiroga, Fernández-Sáez, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784856532670742528
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
work_keys_str_mv AT dalmaullorcamrosa earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT castroblancoelisabet earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT aguilarmartincarina earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT carrascoquerolnoelia earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT hernandezrojaszojaina earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT goncalvesalessandraqueiroga earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy
AT fernandezsaezjose earlydetectionofthestartoftheinfluenzaepidemicusingsurveillancesystemsincataloniaprevigripstudy