Municipal Risk Classification for Vaccine-Preventable Diseases in Minas Gerais, Brazil

Two years after the COVID-19 pandemic onset, this epidemiological study analyzes vaccination coverage and dropout rates for ten immunobiologicals recommended for children under two in Minas Gerais, Brazil. The author, Thales Philipe Rodrigues da Silva, classified the 853 municipalities into five transmission risk categories. The analysis found that 80.9% of municipalities were classified as high transmission risk for vaccine-preventable diseases.

Use Cases

• Mapping high-risk municipalities for targeted public health interventions based on the calculated risk classification.
• Analyzing the relationship between municipality size and vaccination coverage homogeneity based on the described statistical findings.
• Evaluating the effectiveness of using municipal immunization indicators for policy proposals as suggested in the description.

Strengths

• Covers 853 municipalities, providing a comprehensive geographic scope within Minas Gerais state.
• Includes data on ten different immunobiologicals recommended for children under two years old.
• Risk classification uses five distinct categories (very low to very high), enabling granular analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Thales Philipe Rodrigues da Silva

Collection Method

Epidemiological study using secondary data on vaccination coverage and dropout rates.

Time Range

Data from 2021, analyzed two years after the onset of the COVID-19 pandemic.

Geography

Municipalities within the state of Minas Gerais, Brazil.