TY - GEN
T1 - Spatial Patterns in Neurodegenerative Disease’s Hospitalizations in Portugal (2000-2016)
AU - Oliveira, Mariana
AU - Freitas, Alberto
AU - Teodoro, Ana Cláudia
AU - Gonçalves, Hernâni
N1 - Publisher Copyright:
Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Hospitalization Rates
KW - Neurodegenerative Diseases
KW - Spatial Epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85160839301&partnerID=8YFLogxK
U2 - 10.5220/0011990100003473
DO - 10.5220/0011990100003473
M3 - Conference contribution
AN - SCOPUS:85160839301
T3 - International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM - Proceedings
SP - 79
EP - 86
BT - Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023
A2 - Grueau, Cedric
A2 - Rodrigues, Armanda
A2 - Ragia, Lemonia
PB - Science and Technology Publications, Lda
T2 - 9th International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2023
Y2 - 25 April 2023 through 27 April 2023
ER -