Spatial Patterns in Neurodegenerative Disease¿s Hospitalizations in Portugal (2000-2016)

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Oliveira, M (Author) Other; Freitas A (Author) FMUP; Ana Teodoro (Author) FCUP; Hernani Goncalves (Author) FMUP

Conference proceedings International

Title: International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM - Proceedings

Pages: 79-86

9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023

Prague, 25 April 2023 through 27 April 2023

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Y-GXW

DOI: 10.5220/0011990100003473

Abstract (EN): Neurodegenerative diseases, usually arisen from the death of nervous system cells, is a rising concern on the worlds¿ population increasing life expectancy. More precisely, Portuguese population, along with that of other developed countries, is ageing at a fast rate. The understanding of such diseases¿ patterns is of utmost relevance to help manage the burden it represents in the health system. In this retrospective study, we analysed over 170 thousand hospitalizations with discharges between 2000 and 2016. We computed age-standardized hospitalization rates for each neurodegenerative disease. The most prevalent disease in our sample was Alzheimer with 60% of cases, and the least prevalent was Parkinson with only 0.05% of cases. The spatial analysis shows that Santarém and Portalegre (neighbour) districts in central Portugal, have the highest rates. The increase in hospitalization rates over the study period is also clear when looking at the spatio-temporal analysis. Although limited by the usage of secondary health data, this study represents a background for other studies on the field of neurodegenerative diseases, presenting with relevant insight on the spatio-temporal patterns of each and every neurodegenerative disease in Portugal at the moment. Copyright © 2023 by SCITEPRESS ¿ Science and Technology Publications, Lda.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7