Evidence map›Paper›PMID 39748283›Full record

ArticleBMC infectious diseases2025

Modeling COVID-19 dynamics in the Basque Country: characterizing population immunity profile from 2020 to 2022.

Bechir Naffeti, Zeineb Ounissi, Akhil Kumar Srivastav, Nico Stollenwerk, Joseba Bidaurrazaga Van-Dierdonck, Maíra Aguiar

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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.

Bechir NaffetiBasque Center for Applied Mathematics, Bilbao, Bizkaia, Spain. nbechir@bcamath.org.ORCID http://orcid.org/0000-0002-8782-8788
Zeineb OunissiBasque Center for Applied Mathematics, Bilbao, Bizkaia, Spain.
Akhil Kumar SrivastavBasque Center for Applied Mathematics, Bilbao, Bizkaia, Spain.
Nico StollenwerkBasque Center for Applied Mathematics, Bilbao, Bizkaia, Spain.
Joseba Bidaurrazaga Van-DierdonckPublic Health, Basque Health Department, Bilbao, Basque Country, Spain.
Maíra AguiarBasque Center for Applied Mathematics, Bilbao, Bizkaia, Spain. maguiar@bcamath.org.ORCID http://orcid.org/0000-0001-8354-9944

Funding

Eusko Jaurlaritza BERC 2022-2025Eusko Jaurlaritza Mathematical Modeling Applied to Health (BMTF project)Ministerio de Ciencia, Innovación y Universidades CEX 2021-001142-S/MICIN/AEI/10.13039/501100011033Ministerio de Ciencia, Innovación y Universidades FJC-2021-046826-I
6 · The paper itself

Abstract

backgroundCOVID-19, caused by SARS-CoV-2, has spread globally, presenting a significant public health challenge. Vaccination has played a critical role in reducing severe disease and deaths. However, the waning of immunity after vaccination and the emergence of immune-escape variants require the continuation of vaccination efforts, including booster doses, to maintain population immunity. This study models the dynamics of COVID-19 in the Basque Country, Spain, aiming to characterize the population's immunity profile and assess its impact on the severity of outbreaks from 2020 to 2022.

methodsA SIR/DS model was developed to analyze the interplay of virus-specific and vaccine-induced immunity. The model includes three levels of immunity, with boosting effects from reinfection and/or vaccination. It was validated using empirical daily case data from the Basque Country. The model tracks shifts in immunity status and their effects on disease dynamics over time.

resultsThe COVID-19 epidemic in the Basque Country progressed through three distinct phases, each shaped by dynamic interactions between virus transmission, public health interventions, and vaccination efforts. The initial phase was marked by a rapid surge in cases, followed by a decline due to strict public health measures, with a seroprevalence of

conclusionThe findings underscore the importance of continuous monitoring and adaptive public health strategies to mitigate the evolving epidemiological and immunological landscape of COVID-19. Dynamic interactions between immunity levels, reinfections, and vaccinations are critical in shaping outbreak severity and guiding evidence-based interventions.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2HumansSpainVaccinationCOVID-19 VaccinesCOVID-19 modelingData analysisEpidemiologyImmunity boostingImmunity profileVaccination

Identifiers

PMID39748283
PMCPMC11697651

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LicenceCC BY-NC-ND
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Registered trials

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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.