Neonatal mortality rates in Brazilian municipalities: from 1996 to 2017

Abstract

Objectives Neonatal mortality is a global public health problem, and the efforts to reduce child mortality is one of the goals of the 2030 Agenda for Sustainable Development, launched in 2015 by the United Nations. The availability of historical neonatal mortality rates (NMR) data in Brazilian municipalities is crucial to evaluate trends at local, regional and national level, identifying gaps and vulnerable territories. Therefore, the objective of this article is to offer an integrated dataset containing monthly data in a historical series from 1996 to 2017 with information on all births, neonatal deaths, and NMR (total, early and late components) enriched with information related to the municipality. Data description It is a dataset of historical data with information on the number of births, the number of neonatal deaths, the neonatal mortality rate (including early and late), and geographic information for each month (between January 1996 and December 2017) and Brazilian municipality.

Neonatal Mortality Rates in Brazilian Health Facilities: from 2005 to 2017

“…Figure 1 shows the distribution of neonatal mortality rate values in 2017 for each region of Brazil [5] . It considers only the 864 health facilities with at least 1,000 births during the year.…”

“…Rondônia, together with Mato Grosso do Sul (central-west region), are the only states outside the south and southeast regions with NMR lower than eight. [5] The outliers were smoothed using winsorization of 1% for better characterization of the distribution Observing Figures 1 and 2.b, there is an apparent disagreement in the values of NMR of the Brazilian regions. Figure 1 shows the south region with the highest NMR median and the northeast with the lowest NMR median.…”

“…This dataset construction belongs to a sequence of datasets oriented towards explaining the determinants of neonatal mortality. The previous dataset [5] had infor-mation on NMR at the city, state, region, and country level. The present dataset has the health facility as the unit of analysis and was enriched with the previous one (N M County B dataset).…”

“…However, they correspond to different spatial aggregations: municipalities, states, regions, and the entire country. These data were retrieved from the published dataset NM County B [5].…”

“…The authors have previously published a dataset with information on neonatal mortality rates in Brazilian municipalities [5]. The dataset presented here differs from that by having health facilities as its unit of analysis.…”