Evidence map›Paper›PMID 32727740›Full record

ArticleBMJ open2020

Excess cases of influenza and the coronavirus epidemic in Catalonia: a time-series analysis of primary-care electronic medical records covering over 6 million people.

Ermengol Coma Redon, Nuria Mora, Albert Prats-Uribe, Francesc Fina Avilés, Daniel Prieto-Alhambra, Manuel Medina

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Ermengol Coma RedonSistemes d'Informació dels Serveis d'Atenció Primària (SISAP), ICS, Barcelona, Catalunya, Spain.
Nuria MoraSistemes d'Informació dels Serveis d'Atenció Primària (SISAP), ICS, Barcelona, Catalunya, Spain.
Albert Prats-UribeNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Science, University of Oxford, Oxford, Oxfordshire, UK.ORCID 0000-0003-1202-9153
Francesc Fina AvilésSistemes d'Informació dels Serveis d'Atenció Primària (SISAP), ICS, Barcelona, Catalunya, Spain.
Daniel Prieto-AlhambraIDIAP Jordi Gol, Universitat Autònoma de Barcelona, Barcelona, Catalunya, Spain daniel.prietoalhambra@ndorms.ox.ac.uk.ORCID 0000-0002-3950-6346
Manuel MedinaSistemes d'Informació dels Serveis d'Atenció Primària (SISAP), ICS, Barcelona, Catalunya, Spain.
Universitat Autònoma de Barcelona · ESNuffield Orthopaedic Centre · GB

Funding

Department of Health SRF-2018-11-ST2-004
6 · The paper itself

Abstract

objectivesThere is uncertainty about when the first cases of COVID-19 appeared in Spain. We aimed to determine whether influenza diagnoses masked early COVID-19 cases and estimate numbers of undetected COVID-19 cases.

designTime-series study of influenza and COVID-19 cases, 2010-2020.

settingPrimary care, Catalonia, Spain.

participantsPeople registered in primary-care practices, covering >6 million people and >85% of the population.

main outcome measuresWeekly new cases of influenza and COVID-19 clinically diagnosed in primary care. ANALYSES: Daily counts of both cases were computed using the total cases recorded over the previous 7 days to avoid weekly effects. Epidemic curves were characterised for the 2010-2011 to 2019-2020 influenza seasons. Influenza seasons with a similar epidemic curve and peak case number as the 2019-2020 season were used to model expected case numbers with Auto Regressive Integrated Moving Average models, overall and stratified by age. Daily excess influenza cases were defined as the number of observed minus expected cases.

resultsFour influenza season curves (2011-2012, 2012-2013, 2013-2014 and 2016-2017) were used to estimate the number of expected cases of influenza in 2019-2020. Between 4 February 2020 and 20 March 2020, 8017 (95% CI: 1841 to 14 718) excess influenza cases were identified. This excess was highest in the 15-64 age group.

conclusionsCOVID-19 cases may have been present in the Catalan population when the first imported case was reported on 25 February 2020. COVID-19 carriers may have been misclassified as influenza diagnoses in primary care, boosting community transmission before public health measures were taken. The use of clinical codes could misrepresent the true occurrence of the disease. Serological or PCR testing should be used to confirm these findings. In future, this surveillance of excess influenza could help detect new outbreaks of COVID-19 or other influenza-like pathogens, to initiate early public health responses.

Indexed as

Coronavirus InfectionsInfluenza, HumanPandemicsPneumonia, ViralAdolescentAdultBetacoronavirusClinical Laboratory TechniquesCOVID-19COVID-19 TestingDiagnosis, DifferentialElectronic Health RecordsFemaleHumansMaleMiddle Agedepidemiologyprimary carepublic health

Identifiers

PMID32727740
PMCPMC7431772
OpenAlexW3040959680

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.