Data di Pubblicazione:
2020
Abstract:
Monitoring the evolution and diffusion of diseases is an important task for health monitoring. Recent phenomena, such as the
spread of Coronavirus (Covid-19), highlighted the relevance of adopting Geographical Information Systems (GIS) in epidemiology modeling.
GIS may offer general views and indications which domain experts and
governments could use to give immediate directions to social actors and
operators.
We report on the possibility of using geographic database model instruments in order to acquire, store and manage health-related data.
The reported case study is about an application able to correlate TSH
(Thyroid-Stimulating Hormone) with environmental data. The reported
example aims to show how to acquire, analyze and integrate clinical and
geographical data to evaluate possible correlations for the prevention
of chronic diseases, especially neoplasms, by means of mapping disease
features with environmental factors.
spread of Coronavirus (Covid-19), highlighted the relevance of adopting Geographical Information Systems (GIS) in epidemiology modeling.
GIS may offer general views and indications which domain experts and
governments could use to give immediate directions to social actors and
operators.
We report on the possibility of using geographic database model instruments in order to acquire, store and manage health-related data.
The reported case study is about an application able to correlate TSH
(Thyroid-Stimulating Hormone) with environmental data. The reported
example aims to show how to acquire, analyze and integrate clinical and
geographical data to evaluate possible correlations for the prevention
of chronic diseases, especially neoplasms, by means of mapping disease
features with environmental factors.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Tradigo, G.; Vizza, P.; Guzzi, P. H.; Veltri, P.
Link alla scheda completa:
Titolo del libro:
Proceedings of the 22nd International Database Engineering & Applications Symposium
Pubblicato in: