Baroni Lais, Salles Rebecca, Salles Samella, Pedroso Marcel, Lima Jefferson, Morais Igor, Carraro Lucas, Saldanha Raphael de Freitas, Sousa Carlos, Cardoso Carlos, Paixño Balthazar, Cruz Sérgio, Ogasawara Eduardo, Boccolini Patrícia de Morais Mello, Boccolini Cristiano Siqueira
Federal Center for Technological Education of Rio de Janeiro, CEFET/RJ, Rio de Janeiro, Brazil.
Platform of Data Science Applied to Health (PCDaS), ICICT, Oswaldo Cruz Foundation, Fiocruz, Rio de Janeiro, Brazil.
BMC Res Notes. 2021 Feb 9;14(1):55. doi: 10.1186/s13104-020-05441-3.
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.
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.
新生儿死亡率是一个全球性的公共卫生问题,降低儿童死亡率的努力是联合国于2015年发起的《2030年可持续发展议程》的目标之一。巴西各市历史新生儿死亡率(NMR)数据的可用性对于评估地方、区域和国家层面的趋势、识别差距和脆弱地区至关重要。因此,本文的目的是提供一个综合数据集,其中包含1996年至2017年历史序列中的月度数据,这些数据包含所有出生、新生儿死亡以及NMR(总、早期和晚期组成部分)的信息,并丰富了与该市相关的信息。
这是一个历史数据的数据集,包含出生数量、新生儿死亡数量、新生儿死亡率(包括早期和晚期)以及每个月(1996年1月至2017年12月)和巴西各市的地理信息。