Evidence map›Paper›PMID 36554929›Full record

ArticleInternational journal of environmental research and public health2022

Early Detection of the Start of the Influenza Epidemic Using Surveillance Systems in Catalonia (PREVIGrip Study).

M Rosa Dalmau Llorca, Elisabet Castro Blanco, Carina Aguilar Martín, Noèlia Carrasco-Querol, Zojaina Hernández Rojas, Alessandra Queiroga Gonçalves, José Fernández-Sáez

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

M Rosa Dalmau LlorcaPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.ORCID 0000-0001-7537-5307
Elisabet Castro BlancoPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.ORCID 0000-0003-1692-1472
Carina Aguilar MartínPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.
Noèlia Carrasco-QuerolPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.ORCID 0000-0002-5876-7082
Zojaina Hernández RojasPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.
Alessandra Queiroga GonçalvesPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.ORCID 0000-0003-3272-6861
José Fernández-SáezPrimary Care Intervention Evaluation Research Group (GAVINA Research Group), IDIAPJGol Terres de l'Ebre, 43500 Tortosa, Spain.ORCID 0000-0002-6717-7674
Institut Català de la Salut · ESUniversitat Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

EpidemicsInfluenza, HumanEarly DiagnosisHumansSeasonsSentinel SurveillanceSpainepidemicsinfluenzapublic health surveillance

Identifiers

PMID36554929
PMCPMC9779123
OpenAlexW4312195108

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.