Evidence map›Paper›PMID 42458351›Full record

ArticleBMC public health2026

Measles susceptibility in a large urban center in Northeast Brazil and its implications for viral reintroduction risk.

Maria Eduarda Maia Vilar, Florisneide Rodrigues Barreto, Ramon da Costa Saavedra, Olindo Assis Martins-Filho, Maria da Glória Lima Cruz Teixeira

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Maria Eduarda Maia VilarInstitute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil. vilar.eduarda@gmail.com.
Florisneide Rodrigues BarretoInstitute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil.
Ramon da Costa SaavedraInstitute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil.
Olindo Assis Martins-FilhoRené Rachou Institute, Oswaldo Cruz Foundation, Belo Horizonte, MG, Brazil.
Maria da Glória Lima Cruz TeixeiraInstitute of Collective Health, Federal University of Bahia, Salvador, BA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies indicate that declining levels of measles-specific IgG antibodies among vaccinated individuals without exposure to wild-type virus may reflect changes in population-level serological profiles, rather than direct measures of protective immunity. Such findings may have implications for understanding population susceptibility following viral introduction in measles-eliminated settings. This study aimed to analyze changes in the age distribution of protective measles antibodies in the population of Salvador, Brazil, between 2000 and 2024.

methodsA population-based seroprevalence study was conducted using a household-based cluster sampling design across 30 sentinel areas in Salvador, Brazil. A total of 1,508 individuals were included, and a comparable survey had been conducted in 2000. Data on sociodemographic characteristics, vaccination history, and prior measles infection were collected through household interviews. Venous blood samples were obtained for measurement of measles-specific IgG antibodies using ELISA. Seroprevalence estimates were calculated by age group, and logistic regression analysis was performed to identify factors associated with measles seropositivity. ELISA-based IgG detection does not directly measure functional neutralizing antibodies or protective immunity.

resultsOverall measles IgG seroprevalence was 82.4%, with antibody concentrations predominantly ranging from 275 to 1,000 IU/L. The highest seroprevalence was observed among individuals aged over 50 years (92.1%), whereas the highest proportion of seronegative individuals occurred in the 20-29-year age group (39.6%). This age group also showed the most pronounced decline in seropositivity between 2000 and 2024, from 95.7% to 60.4%. In multivariable analysis, only previous measles infection was positively associated with seropositivity (OR = 1.67; 95% CI: 1.04-2.66; p = 0.032).

conclusionsAlthough seroprevalence was higher than seronegativity in the study population, the observed levels remain below those generally considered sufficient to interrupt measles transmission (≈ 92-95%). These findings indicate important immunity gaps among young adults and children that may facilitate outbreak occurrence following virus introduction in large urban centers.

Indexed as

MeaslesUrban PopulationAdolescentAdultAntibodies, ViralBrazilChildChild, PreschoolDisease SusceptibilityEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoglobulin GInfantMaleMeasles virusAntibodies, ViralImmunoglobulin GImmunityImmunoglobulin GMeaslesMeasles-mumps-rubella vaccineSeroepidemiologic studiesUrban populationVaccination

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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.