Cobertura vacinal em crianças até 1 ano de idade no estado do Rio de Janeiro entre 2008 a 2020

• Autor(a) principal: Andrade, Fernanda Catherine Alves de
• Data de Publicação: 2022
• Outros Autores: [e-mail]
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/18667
• topic: Immunization; Vaccination coverage; Spatial analisys; Local Moran Index; Secondary data; Imunização; Cobertura Vacinal; Análise espacial; Índice de Moran Local; Dados secundários; CIENCIAS DA SAUDE::SAUDE COLETIVA

The National Immunization Program (PNI) observes a decline in vaccination coverage (CV), which may represent a risk for the return of diseases considered controlled. The objective was to evaluate the temporal trend and the spatial variation of CV in children in the municipalities of the state of Rio de Janeiro (ERJ) between 2008 and 2020. It was a mixed ecological study in which CV rates in each municipality are analyzed of the ERJ. Secondary data of applied doses of immunobiologicals of the triple bacterial (DTP) and triple viral (SCR) vaccines contained in the National Immunization Program Information System (SI-PNI) and live birth data from the Live Birth Information System were used. (SINASC). The CV was calculated by antigen for the 92 municipalities and for the 9 health regions of the ERJ. The municipality of RJ was analyzed separately. The analysis of the temporal trend of the CV was performed using the Join Point Regression program and the annual percentage change (APC). For the descriptive analysis, thematic maps were built with the QGIS software, adopting five CV strata: <70%; 70-80%; 80-90%; 90-95% and 95% or more. The CVs were smoothed using the global empirical Bayes estimator. To assess spatial correlations, the Local Spatial Association Index (LISA) was calculated. 39 smoothed CV maps and 39 maps with the LISA indicator were prepared, one for each year and for each vaccine of interest. The calculations were performed using the TerraView software. The significance level was 5%. The results showed that for the first dose (D1) of DTP, between 2008 and 2014, the regions of Médio Paraíba, Metropolitan I, II and the municipality of RJ did not reach the CV goal of 95% in 2010; between 2008 and 2010, the municipality of RJ did not reach the CV goal. Between 2015 and 2020, we observed a reduction in the CV of D1 of DTP in the regions of Ilha Grande and Norte Bay, which started since 2017. For the third dose (D3) of DTP, there was a greater number of CV below 95% between 2008 and 2014 in relation to D1. Between 2015 and 2020, the Metropolitan Region I stands out, which does not reach the CV goal of 95% and from 2016 onwards has a progressive reduction in CV until 2020, reaching a CV of 30.45% that year. For SCR's D1 between 2008 and 2014, Centro-Sul and Serrana achieve their CV goals every year. In 2019, Baixada Litorânea, Northwest and North did not reach the goal, the other regions maintain high CV this year. In 2020, no region achieves the CV target and Metropolitan I and II have the lowest CV. The trend analysis showed that for D1 of the DTP, the ERJ showed a downward trend in VC from 2017 onwards (APC: -14.25); for SCR, it showed growth until 2018 (APC: 1.8) and a reduction in CV from 2018 (APC: -16.56). The LISA maps show the presence of clusters of high CV for DTP D1 in 2008, 2013 and 2018 and low CV in 2014; of high VC for D3 of DTP in 2008 and 2016 and high VC for SCR in 2016 and 2018. The distribution of CV shows distinct patterns between health regions and within municipalities over the years. Temporal and spatial analysis is a useful tool for locating geographic areas with pockets of low or high CV, in order to identify areas of greater vulnerability.