Login / Signup

[Delay in quadrivalent vaccine (DTP+Hib) in children 12 to 23 months of age: Brazilian National Health Survey, 2013].

Ana Maria Baptista MenezesThaynã Ramos FloresAnna Müller PereiraBarbara BerruttiGabriela Ávila MarquesKaren Yumaira Sánchez LuquezLetícia Willrich BrumLuisa Fernanda Arroyave EcheverryMarina de Borba Oliveira FreireNícolas Kickhofel WeisshahnPaulo Victor Cesar de AlbuquerqueRafaela do Carmo BorgesRiceli Rodeghiero OliveiraThiago Melo SantosFernando César Wehrmeister
Published in: Cadernos de saude publica (2022)
The study aimed to estimate the prevalence of delay in the three doses of quadrivalent vaccine (DTP+Hib) in children 12 to 23 months of age in Brazil, based on data from the Brazilian National Health Survey (PNS) of 2013 and to analyze the delay in each of the doses according to sociodemographic variables and use of health services and public health interventions. The data are from the PNS a cross-sectional study performed in 2013. The outcome was delay in at least one of the three doses of the quadrivalent vaccine. Delay was defined as a dose received at least 30 days after the recommended date according to information on the child's vaccination card. Prevalence of delay was analyzed according to sociodemographic variables and use of health services. A descriptive analysis was performed to obtain absolute and relative frequencies and their respective 95% confidence intervals. Of the 2,016 children with information collected, 1,843 were analyzed. The prevalence of delay in at least one dose of the vaccine was 44%. There was a delay of 14.8% in the first dose, 28.8% in the second, and 45.4% in the third, and 10% of the children had delays in all three doses. Higher prevalence of delay was associated with male gender, brown skin color, the poorest income quintile, and residence in rural areas and the North of Brazil. The study revealed high prevalence of delay with the quadrivalent vaccine (DTP+Hib) in children 12 to 23 months of age in Brazil, with the highest delay in the third dose.
Keyphrases
  • young adults
  • public health
  • risk factors
  • physical activity
  • mental health
  • machine learning
  • quality improvement
  • big data
  • cross sectional
  • deep learning
  • wound healing