Geovisualisation Tools for Reporting and Monitoring Transthyretin-Associated Familial Amyloid Polyneuropathy Disease

被引:0
|
作者
Lopo, Ruben X. [1 ,2 ]
Jorge, Alipio M. [1 ,2 ]
Pedroto, Maria [1 ,2 ]
机构
[1] Fac Sci Univ Porto, Rua Campo Alegre S-N, P-4169007 Porto, Portugal
[2] Univ Porto, INESC TEC LIAAD Lab Inteligencia Artificial & Apo, Campus Fac Engn, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
关键词
Geovisualisation; Spatial data; Imputation; EPIDEMIOLOGY;
D O I
10.1007/978-3-031-23618-1_7
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Transthyretin-associated Familial Amyloid Polyneuropathy (TTR-FAP) is a chronic fatal disease with a high incidence in Portugal. It is therefore relevant to provide professionals and citizens with a tool that enables a detailed geographical and territorial study. For this reason, we have developed an web based application that brings together techniques applied to spatial data that allow the study of the historical progression and growth of cases in patients' residential areas and areas of origin as well as an epidemic forecast. The tool enables the exploration of geographical longitudinal data at national, district and county levels. High density regions and periods can be visually identified according to parameters selected by the user. The visual evaluation of the data and its comparison across different time spans of the disease era can have an impact on more informed decision making by those working with patients to improve their quality of life, treatment or follow-up. The tool is available online for data exploration and its code is available on GitHub for adaptation to other geospatial scenarios.
引用
收藏
页码:103 / 118
页数:16
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