Evidence map›Paper›PMID 39687238›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2024

[Use of standardized criteria to verify interruption of a measles outbreak in the Buenos Aires Metropolitan Area during the COVID-19 pandemicEncerramento do surto de sarampo na área metropolitana de Buenos Aires durante a pandemia de COVID-19 aplicando critérios padronizados].

Gabriela Elbert, Marcela López Yunes, Cecilia González Lebrero, Solana Rapaport, Rocío Nahir Barrios, María Florencia Pérez, Mónica Valenzuela, Lorena Pérez, Florencia Bruggesser, Mirta Magariños

Abstract readCase ReportsEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Gabriela ElbertMinisterio de Salud de la Nación Ciudad Autonóma de Buenos Aires Argentina Ministerio de Salud de la Nación, Ciudad Autonóma de Buenos Aires, Argentina.
Marcela López YunesMinisterio de Salud de la Nación Ciudad Autonóma de Buenos Aires Argentina Ministerio de Salud de la Nación, Ciudad Autonóma de Buenos Aires, Argentina.
Cecilia González LebreroGerencia Operativa de Epidemiología Ministerio de Salud de la Ciudad Autónoma de Buenos Aires Argentina Gerencia Operativa de Epidemiología, Ministerio de Salud de la Ciudad Autónoma de Buenos Aires, Argentina.
Solana RapaportMinisterio de Salud de la Nación Ciudad Autonóma de Buenos Aires Argentina Ministerio de Salud de la Nación, Ciudad Autonóma de Buenos Aires, Argentina.
Rocío Nahir BarriosMinisterio de Salud de la Nación Ciudad Autonóma de Buenos Aires Argentina Ministerio de Salud de la Nación, Ciudad Autonóma de Buenos Aires, Argentina.
María Florencia PérezOrganización Panamericana de la Salud Ciudad Autónoma de Buenos Aires Argentina Organización Panamericana de la Salud, Ciudad Autónoma de Buenos Aires, Argentina.
Mónica ValenzuelaGerencia Operativa de Epidemiología Ministerio de Salud de la Ciudad Autónoma de Buenos Aires Argentina Gerencia Operativa de Epidemiología, Ministerio de Salud de la Ciudad Autónoma de Buenos Aires, Argentina.
Lorena PérezPrograma de Control de Enfermedades Inmunoprevenibles Ministerio de Salud de la Provincia de Buenos Aires La Plata Argentina Programa de Control de Enfermedades Inmunoprevenibles, Ministerio de Salud de la Provincia de Buenos Aires, La Plata, Argentina.
Florencia BruggesserMinisterio de Salud de la Nación Ciudad Autonóma de Buenos Aires Argentina Ministerio de Salud de la Nación, Ciudad Autonóma de Buenos Aires, Argentina.
Mirta MagariñosPrograma de Inmunización Integral Organización Panamericana de la Salud Washington D.C. Estados Unidos de América Programa de Inmunización Integral, Organización Panamericana de la Salud, Washington D.C., Estados Unidos de América.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the strategy implemented for interruption of the 2019-2020 measles outbreak in the Metropolitan Area of Buenos Aires (Argentina) and application of the Pan American Health Organization (PAHO) standardized outbreak closure criteria to verify interruption of viral circulation in an adverse setting (the COVID-19 pandemic). Methods: Descriptive, retrospective observational study of the actions taken in response to the measles outbreak that occurred between epidemiological week (EW) 35 of 2019 and EW 12 of 2020. Interruption of viral circulation was documented through epidemiological, vaccination-coverage, and laboratory criteria. Data were obtained from the National Surveillance System, the Federal Vaccination Registry, and outbreak reports. Results: The outbreak control strategy in Argentina focused on intensifying vaccination and strengthening epidemiological surveillance. The information thus obtained made it possible to analyze compliance with PAHO criteria and verify the interruption of viral circulation. Conclusions: Outbreak interruption and verification thereof represented a challenge in the complex epidemiological scenario the country was facing. The application of standardized outbreak closure criteria allows planning of activities. However, in extraordinary circumstances, meeting the proposed criteria requires relative weighting according to technical priorities and implementation of innovative strategies adapted to the epidemiological context.

Indexed as

Argentinadisease outbreaksepidemiologyMeaslesvaccination

Identifiers

PMID39687238
PMCPMC11648180

What OpenQuestion holds

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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.