Applying spatial decision support for maternal mortality analysis in a Brazilian state

Poleto, Thiago ^[1] ; de Carvalho, Victor Diogho Heuer ^[2] ; de Oliveira, Rodrigo Cleiton Paiva ^[1]
1. [1] Universidad Federal de Pará
  
  Universidad Federal de Pará
  
  Brasil
2. [2] Universidade Federal de Alagoas
  
  Universidade Federal de Alagoas
  
  Brasil
Localización: Socioeconomic Analytics, ISSN-e 2965-4661, Vol. 1, Nº. 0, 2023 (Ejemplar dedicado a: Inaugural Issue), págs. 92-102
Idioma: inglés
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Resumen
- The interface between Decision Support Systems (DSS) and Geographical Information Sys-tems (GIS) generates Spatial Decision Support Systems (SDSS) which aid in the deci-sion-making process, particularly in situations where spatial attributes play a pivotal role in achieving accurate conclusions. By integrating conventional decision criteria with spatial crite-ria and visualization through the adoption of SDSS and geographic information systems tech-nologies, a comprehensive analysis is ensured. The primary aim of this research is to exemplify an application of SDSS to support analyses and decisions on a specific issue in Public Health. The focus lies on assessing cities within the state of Pernambuco (Brazil) that exhibit the high-est rates of maternal mortality. This approach promises to offer valuable insights and aid in making informed decisions to address critical maternal health issues in the region.