OBJECTIVE: to describe the transmission risk classification of vaccine-preventable diseases in Brazilian municipalities. METHODS: this was a descriptive epidemiologic study using 2014 data of the Brazilian National Immunization Program Information System; the vaccine coverage indicators were used to classify the transmission risk of vaccine-preventable diseases in the municipalities. RESULTS: of the 5,570 Brazilian municipalities, 12.0% were classified as very low risk, 29.6% as low risk, 2.2% as medium risk, 54.3% as high risk and 1.8% as very high risk. CONCLUSION: the vaccination coverage surveillance allowed to identify most of the municipalities in high risk situation and the minority of children living in municipalities with appropriate coverage; the vaccination coverage surveillance using indicators of the Brazilian National Health System (SUS) is a new tool for identifying priority areas where the actions can be more successful for health managers and improve the quality and the success of the immunizations program.
OBJECTIVE: to describe the transmission risk classification of vaccine-preventable diseases in Brazilian municipalities. METHODS: this was a descriptive epidemiologic study using 2014 data of the Brazilian National Immunization Program Information System; the vaccine coverage indicators were used to classify the transmission risk of vaccine-preventable diseases in the municipalities. RESULTS: of the 5,570 Brazilian municipalities, 12.0% were classified as very low risk, 29.6% as low risk, 2.2% as medium risk, 54.3% as high risk and 1.8% as very high risk. CONCLUSION: the vaccination coverage surveillance allowed to identify most of the municipalities in high risk situation and the minority of children living in municipalities with appropriate coverage; the vaccination coverage surveillance using indicators of the Brazilian National Health System (SUS) is a new tool for identifying priority areas where the actions can be more successful for health managers and improve the quality and the success of the immunizations program.
Authors: Erika Valeska Rossetto; Rodrigo Nogueira Angerami; Expedito José de Albuquerque Luna Journal: Rev Inst Med Trop Sao Paulo Date: 2017-04-13 Impact factor: 1.846