A spatial-temporal ARMA model of the incidence of hand, foot, and mouth disease in Wenzhou, China
type: Item
instance of: scholarly article
title: A spatial-temporal ARMA model of the incidence of hand, foot, and mouth disease in Wenzhou, China
zbMATH Open document ID: 1468.92057
DOI: 10.1155/2014/238724
author: Jie Li
author: Yanjun Fu
author: Ancha Xu
author: Zumu Zhou
author: Weiming Wang
published in: Abstract and Applied Analysis
publication date: 2019-02-14T00:00:00Z
review text: Summary: To investigate the variability of HFMD in each county of Wenzhou, a spatial-temporal ARMA model is presented, and a general Bayesian framework is given for parameter estimation. The proposed model has two advantages: (i) allowing time series to be correlated, thus it can describe the series both spatially and temporally; (ii) implementing forecast easily. Based on the HFMD data in Wenzhou, we find that HFMD had positive spatial autocorrelation and the incidence seasonal peak was between May and July. In the county-level analysis, we find that after first-order difference the spatial-temporal ARMA \((0, 0) \times(1, 0)_{12}\) model provides an adequate fit to the data.
Mathematics Subject Classification ID: 92D30
Mathematics Subject Classification ID: 62M30
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7021975
Wikidata QID: Q59036615
describes a project that uses: TSA
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/238724
OpenAlex ID: W2049233628
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description: scientific article; zbMATH DE number 7021975