Dataset on child vaccination in Brazil from 1996 to 2021.

Autor: Boccolini PMM; Institute of Scientific and Technological Communication and Information in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil. patriciaboccolini@gmail.com.; Center for Information, Public Policies and Social Inclusion, NIPPIS, Petropolis Medical School, UNIFASE, Petrópolis, RJ, Brazil. patriciaboccolini@gmail.com., Boccolini CS; Institute of Scientific and Technological Communication and Information in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., de Almeida Relvas-Brandt L; Institute of Scientific and Technological Communication and Information in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil., Alves RFS; Institute of Scientific and Technological Communication and Information in Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2023 Jan 11; Vol. 10 (1), pp. 23. Date of Electronic Publication: 2023 Jan 11.
DOI: 10.1038/s41597-023-01939-0
Abstrakt: 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.
(© 2023. The Author(s).)
Databáze: MEDLINE
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