Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus

Rhee, Sang Youl

doi:10.4178/epih.e2021102

Cited by 1 publication

(1 citation statement)

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“…Describing the temporal-spatial distribution characteristics of diseases is one of the preliminary requirements for risk analysis. Spatial techniques, based on the geographic information systems (GIS), have been widely utilised in the field of health promotion and public health in the last few decades [9,10]. Researchers usually applied spatial auto-correlation and spacetime scan methods to probe the geographic distribution characteristics and to identify clusters for high-and low-risk regions and periods, contributing to the formulation and improvement of prevention and control measures [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019

et al. 2023

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The resurgence and outbreaks of mumps occurs frequently in many countries worldwide in recent years, even in countries with high vaccination coverage. In this study, a descriptive and spatiotemporal clustering analysis at the township level were conducted to explore the dynamic spatiotemporal aggregation and epidemiological characteristics of mumps in Wuhan. During 2005 and 2019, there were 40685 cases reported in Wuhan, with an average annual morbidity of 28.11 per 100000 populations. The morbidity showed a fluctuating tendency, and peaked in 2010 and 2018. Bimodal seasonality was found, with a large peak between May and July, and a mild peak from November to January in the following year. Male students aged 5-9 years old were the main risk group of mumps infection. Significant global spatial auto-correlation was detected except in 2007, 2009, and 2015.The spatial and temporal scan statistics indicated that the hot spots mainly located at the western and southern areas of Wuhan with variations almost every year. Our findings could assist the public health authorities to develop and improve targeted health strategies, and allocate health resources rationally.

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