Applying spatial decision support for maternal mortality analysis in a Brazilian state
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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal de Pernambuco (UFPE)
2023-08-01
|
| Series: | Socioeconomic Analytics |
| Subjects: | |
| Online Access: | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259360 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825201884702441472 |
|---|---|
| author | Thiago Poleto Victor Diogho Heuer de Carvalho Rodrigo Cleiton Paiva de Oliveira |
| author_facet | Thiago Poleto Victor Diogho Heuer de Carvalho Rodrigo Cleiton Paiva de Oliveira |
| author_sort | Thiago Poleto |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-22fe8f627fce4039a236b53d9e98fcf5 |
| institution | Kabale University |
| issn | 2965-4661 |
| language | English |
| publishDate | 2023-08-01 |
| publisher | Universidade Federal de Pernambuco (UFPE) |
| record_format | Article |
| series | Socioeconomic Analytics |
| spelling | doaj-art-22fe8f627fce4039a236b53d9e98fcf52025-02-07T17:43:51ZengUniversidade Federal de Pernambuco (UFPE)Socioeconomic Analytics2965-46612023-08-011110.51359/2965-4661.2023.259360Applying spatial decision support for maternal mortality analysis in a Brazilian stateThiago Poleto0https://orcid.org/0000-0001-7100-2319Victor Diogho Heuer de Carvalho1https://orcid.org/0000-0003-2369-7317Rodrigo Cleiton Paiva de Oliveira2Universidade Federal do ParáUniversidade Federal de AlagoasUniversidade Federal do ParáThe 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.https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259360Spatial Decision Support Systemsdecision-making public healthmaternal mortalityPernambucoBrazil |
| spellingShingle | Thiago Poleto Victor Diogho Heuer de Carvalho Rodrigo Cleiton Paiva de Oliveira Applying spatial decision support for maternal mortality analysis in a Brazilian state Socioeconomic Analytics Spatial Decision Support Systems decision-making public health maternal mortality Pernambuco Brazil |
| title | Applying spatial decision support for maternal mortality analysis in a Brazilian state |
| title_full | Applying spatial decision support for maternal mortality analysis in a Brazilian state |
| title_fullStr | Applying spatial decision support for maternal mortality analysis in a Brazilian state |
| title_full_unstemmed | Applying spatial decision support for maternal mortality analysis in a Brazilian state |
| title_short | Applying spatial decision support for maternal mortality analysis in a Brazilian state |
| title_sort | applying spatial decision support for maternal mortality analysis in a brazilian state |
| topic | Spatial Decision Support Systems decision-making public health maternal mortality Pernambuco Brazil |
| url | https://periodicos.ufpe.br/revistas/index.php/SECAN/article/view/259360 |
| work_keys_str_mv | AT thiagopoleto applyingspatialdecisionsupportformaternalmortalityanalysisinabrazilianstate AT victordioghoheuerdecarvalho applyingspatialdecisionsupportformaternalmortalityanalysisinabrazilianstate AT rodrigocleitonpaivadeoliveira applyingspatialdecisionsupportformaternalmortalityanalysisinabrazilianstate |