Estimating seroprevalence and vaccination coverage against COVID-19 is crucial to the development of well-targeted public health policies at the local level. Here, we estimated seroprevalence and vaccination coverage in a lower-middle-class population in Brazil. We conducted an observational, cross-sectional, population-based survey from 24 September to 19 December 2021. CMIA tests were used to detect anti-SARS-CoV-2 IgG against the N-protein. The overall seroprevalence was 24.15% (177/733), and vaccination coverage was 91.40% (670/733); 72.09% (483/670) were fully vaccinated. Among vaccinated participants, seroprevalence was 24.77% (95% CI 21.50-28.04; 166/670), with a prevalence ratio (PR) of 1.03 (95% CI 0.98-1.08; -value 0.131). Among participants who received an mRNA vaccine with S-based epitope (485), seroprevalence was 16.29% (95% CI 13.04-19.85; 79/485). Among unvaccinated participants, seroprevalence was 17.46% (95% CI 10.04-28.62; 11/63). Finally, in spite of the political climate and other possible causes for vaccine hesitancy, the positive Brazilian culture towards vaccination might have curbed hesitancy.
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http://dx.doi.org/10.3390/vaccines11050916 | DOI Listing |
Eur Respir Rev
January 2025
Transplant Immunology Unit, National Center of Microbiology, Instituto de Salud Carlos III, Madrid Spain
Background: The morbidity and mortality associated with influenza viruses are a significant public health challenge. Annual vaccination against circulating influenza strains reduces hospitalisations and increases survival rates but requires a yearly redesign of vaccines against prevalent subtypes. The complex genetics of influenza viruses with high antigenic drift create an ongoing challenge in vaccine development to address dynamic influenza epidemiology.
View Article and Find Full Text PDFInfluenza Other Respir Viruses
January 2025
Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands.
Background: Vaccination is a key measure in influenza control, yet global coverage rates remain low, although previous research reported an increase in influenza vaccination coverage rates (VCR) after the onset of the COVID-19 pandemic. This study aims to assess whether these changes were sustained over time by analyzing VCR trends from 2012 to 2023 in the countries included in the FluCov project.
Methods: Data on influenza VCR from 2012 to 2023 for different age and risk groups were extracted from national health organizations and international sources for countries included in the FluCov project.
J Infect Public Health
January 2025
Campania Regional Centre for Pharmacovigilance and Pharmacoepidemiology, Via Costantinopoli 16, Naples 80138, Italy; Department of Experimental Medicine - Section of Pharmacology "L. Donatelli", University of Campania "Luigi Vanvitelli", Via Costantinopoli 16, Naples 80138, Italy; Department of Life Science, Health, and Health Professions, Link Campus University, Rome, Italy. Electronic address:
In 2018, Europe experienced a surge in measles cases, revealing the consequences of suboptimal immunization coverage. This trend was exacerbated by long-standing vaccine hesitancy. Parental attitudes toward childhood vaccines have increasingly shifted, influenced by ethical, religious, and safety concerns.
View Article and Find Full Text PDFEcon Hum Biol
December 2024
Department of Economics, Ca' Foscari University of Venice, Dorsoduro 3256, 30123 Venice, Italy; CHILD - Collegio Carlo Alberto, Piazza Arbarello 8, 10122 Torino, Italy. Electronic address:
Exploiting high-frequency vaccination data for COVID-19 and social capital measures at the municipal level in Italy between January and October 2021, this paper estimates the effect of social capital on vaccination compliance. We find that weekly vaccination coverage increased up to 1.60 percentage points more in municipalities with higher social capital.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, United States.
Background: Mass vaccination is a cornerstone of public health emergency preparedness and response. However, injudicious placement of vaccination sites can lead to the formation of long waiting lines or , which discourages individuals from waiting to be vaccinated and may thus jeopardize the achievement of public health targets. Queueing theory offers a framework for modeling queue formation at vaccination sites and its effect on vaccine uptake.
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