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[Transmission risk classification for vaccine-preventable diseases in Minas Gerais, Brazil: two years since the onset of the COVID-19 pandemic].

Thales Philipe Rodrigues da SilvaAline Mendes VimieiroJosianne Dias GusmãoJanaina Fonseca Almeida SouzaSheila Aparecida Ferreira LachtimEd Wilson Rodrigues VieiraTércia Moreira Ribeiro da SilvaFernanda Penido Matozinhos
Published in: Ciencia & saude coletiva (2022)
The scope of this study is to analyze the risk classification of transmission of vaccine-preventable diseases (VPDs) in the 853 municipalities in the state of Minas Gerais (MG) two years after the onset of the COVID-19 pandemic. It is an epidemiological study with secondary data on vaccination coverage and dropout rate of ten immuno-biologicals recommended for under 2-year-old children in 2021 in MG. With respect to the dropout rate, this indicator was only evaluated for the multidose vaccines. After calculating all the indicators, the municipalities of the state were classified according to the transmission risk of VPDs into five categories: very low, low, medium, high, and very high risk. Minas Gerais had 80.9% of municipalities classified as high transmission risk for VPDs. Regarding the homogeneity of vaccination coverage (HCV), large municipalities had the highest percentage of HCV classified as very low, and 100% of these municipalities were classified as high or very high risk for transmission of VPDs, with statistical significance. The use of immunization indicators by municipality is effective for the classification of the scenario of each territory and the proposal of public policies seeking to increase vaccination coverage.
Keyphrases
  • machine learning
  • deep learning
  • hepatitis c virus
  • healthcare
  • affordable care act
  • human immunodeficiency virus
  • hiv infected
  • resting state
  • antiretroviral therapy
  • functional connectivity