TY  - JOUR
T1  - Applying spatial decision support for maternal mortality analysis in a Brazilian state
A1  - Poleto, Thiago
A1  - De Carvalho, Victor Diogho Heuer
A1  - De Oliveira, Rodrigo Cleiton Paiva
Y1  - 2023/08//
KW  - Spatial Decision Support Systems
KW  - decision-making
KW  - public health
KW  - ma- ternal mortality
KW  - Pernambuco
KW  - Brazil
JF  - Socioeconomic Analytics
VL  - 1
IS  - 1
SP  - 92
EP  - 102
DO  - 10.51359/2965-4661.2023.259360
UR  - https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259360
L1  - file:///G:/Meu Drive/Drive (UFPE)/Administrativo/Editorial/Socioeconomic Analytics/Issue 1 (2023)/5. Poleto et al/Poleto et al. (2023).pdf
N2  - 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.
ER  -