Resumo O objetivo deste artigo é analisar as taxas de coberturas vacinais em crianças menores de um ano durante o período de 2015 a 2020 no estado de Minas Gerais (MG). Estudo ecológico, de série temporal, sobre as coberturas vacinais em crianças menores de 1 ano, considerando-se como unidade de análise as 28 Gerências/Superintendências Regionais de Saúde (GRS/SRS) de MG. Analisaram-se as coberturas vacinais dos seguintes imunobiológicos vacinas: contra o Bacilo de Calmette e Guérin (BCG), contra rotavírus humano, contra pneumococo 10, pentavalente, contra meningococo C, contra febre amarela e contra a poliomielite. Empregou-se o modelo autorregressivo de Prais-Winsten para análise de tendência. Destaca-se o ano de 2020, que apresentou a menor proporção de GRS e SRS que alcançaram as metas preconizadas de cobertura vacinal para os imunobiológicos analisados. Quanto à análise de tendência da cobertura, 8 das 28 GRS/SRS apresentaram tendência decrescente de, pelo menos, 5 dos 7 imunobiológicos avaliados. Observou-se tendência decrescente na cobertura vacinal de pelo menos cinco imunobiológicos em oito das GRS /SRS, com destaque para a vacina Pentavalente, que apresentou tendência decrescente de cobertura vacinal em 60,71% das GRS e SRS.
This scoping review responds to the appeal of the scientific community for collaboration between different entities for pharmacovigilance and active surveillance of coronavirus disease 2019 (COVID-19) vaccines. The objective is to identify, systematically evaluate, and synthesize the best scientific evidence available on the indicators used in pharmacovigilance systems. Our results demonstrate that approximately 50% of the 25 studies used in this review have been carried out in the past 5 years. Of these, only four used the pharmacovigilance indicators proposed by the World Health Organization (WHO). Eighty-seven pharmacovigilance indicators were identified, of which seven (8.0%) related to signal detection. While the WHO advocates signal detection as routine pharmacovigilance, in special situations – such as accelerated clinical studies where adverse events are not yet well known – other indicators related to signal detection appear to be good options for maintaining quality pharmacovigilance and active surveillance in the development of the COVID-19 vaccine. However, the less robust pharmacovigilance systems in low-income countries will necessitate greater involvement of health professionals from public and private sectors, pharmaceutical companies, academic institutions, and the general public, to ensure information security and detection of signals for the COVID-19 vaccine.
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