Research Progress of Spatio-Temporal Interpolation in the Field of Public Health

Autor:	Zhijie Zhang, Fuju Wang, Xin Liu
Rok vydání:	2021
Předmět:	History medicine.medical_specialty Geography Field (physics) Public health medicine Cartography Computer Science Applications Education Temporal interpolation
Zdroj:	Journal of Physics: Conference Series. 1802:042060
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1802/4/042060
Popis:	The spatio-temporal interpolation method aims to use the existing spatio-temporal data to estimate missing values and to finely express the spatiotemporal distribution of the research content. The application of the spatiotemporal interpolation method in the field of public health is of great significance to the study of the spatiotemporal distribution and prevention of diseases. This article first introduces the principle of the current main spatiotemporal interpolation methods (spatiotemporal kriging, Bayesian maximum entropy, and regression-based methods) and their applications in the field of public health. Then analyze the advantages and disadvantages of different spatio-temporal interpolation methods. Finally, in view of the shortcomings of the existing spatio-temporal interpolation methods, the future development direction is proposed in order to enrich disease risk prediction methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::36b13e66dbc1e0b9412a1d9441759db8 https://doi.org/10.1088/1742-6596/1802/4/042060 Zobrazit plný text záznamu