Dataset on child vaccination in Brazil from 1996 to 2021.

We present a machine-readable and open-access dataset on vaccination results among children under five years old in Brazil from 1996 to 2021. This dataset is interoperable with epidemiological data from the VAX*SIM project and reusable by the research community worldwide for other purposes, such as monitoring vaccination coverage and studying its determinants and impacts on child morbidity and mortality. The dataset gathers official and public information from the Brazilian National Immunisation Program, the Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 2,442,863 observations and 35 attributes aggregated by years, policy-relevant geographic units (country, macroregions, states, municipalities, and capitals), and age groups on 1,344,480,329 doses of 28 vaccines aimed to prevent 15 diseases, estimates of their target-population coverage, indicators of the vaccination coverage's homogeneity, dropout rates, and spatial, demographic, and socioeconomic data. We automated all data processing and curation in the free and open software R. The codes can be audited, replicated, and reused to produce alternative analyses.

Brazilian spatial, demographic, and socioeconomic data from 1996 to 2020.

OBJECTIVES: We present a database on Brazilian spatial, demographic, and socioeconomic characteristics from 1996 to 2020. This database aims for integration and harmonization with epidemiological data from two major studies. It can also be a valuable database for designing and conducting various types of epidemiologic research, such as health inequality studies, ecological studies (mapping and time-trends), and multi-level analysis. DATA DESCRIPTION: The database gathers official information obtained via open sources from the Brazilian Institute of Geography and Statistics, the Institute for Applied Economic Research, and the Ministry of Health. It includes 139,153 observations and 26 attributes aggregated by years and policy-relevant geographic units on geocoding of municipality centroids, total population size, child population by age-group, birth and mortality measures, Brazilian Municipal Human Development Index, Gini coefficient, Gross Domestic Product, and sanitation. We automated all data processing and curation in the free and open software R.