Geospatial Health 2020-04-23T04:08:37+00:00 Francesca Savio Open Journal Systems <p><strong>Geospatial Health</strong>&nbsp;is the Journal of the GIS Laboratory at the Department of Veterinary Medicine and Animal Production, Regional Center for Monitoring Parasitic Infections (CREMOPAR), University of Naples Federico II (<a href=""></a>).</p> <p><strong>Geospatial Health</strong> is also the official journal of the International Society of Geospatial Health (<a href=""></a>). The journal was founded in 2006 at the University of Naples Federico II by Giuseppe Cringoli, John B. Malone, Robert Bergquist and Laura Rinaldi. The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.</p> Covid-19: Pandemonium in our time 2020-04-23T04:08:37+00:00 Robert Bergquist Laura Rinaldi <p>While pandemonium has come to mean wild and noisy disorder, the reference here is to John <em>Milton</em><em>'</em>s epic poem <em>Paradise Lost</em> and the upheaval following Lucifer's banishment from Heaven and his construction of <em>Pandæmonium</em> as his hub. Today's avalanche of conflicting news on how to deal with the coronavirus disease 2019 (Covid-19) brings to mind the Trinity nuclear bomb test with Enrico Fermi estimating its strength by releasing small pieces of paper into the air and measuring their displacement by the shock wave. Fermi's result, in fact not far from the true value, emphasised his ability to make good approximations with few or no actual data. The current wave of Covid-19 presents just this kind of situation as it engulfs the world from ground zero in Wuhan, China. Much information is indeed missing, but datasets that might lead to useful ideas on how to handle this pandemic are steadily accumulating.</p> 2020-03-30T00:00:00+00:00 Copyright (c) 2020 The Authors Spatial-temporal analysis and visualization of scarlet fever in mainland China from 2004 to 2017 2020-04-23T04:08:12+00:00 Wei-tong Li Rui-hua Feng Tong Li Yan-bing Du Nan Zhou Xiu-qin Hong Shang-hui Yi Wen-ting Zha Yuan Lv <p>This study retrospectively analyzed the spatio-temporal distribution and spatial clustering of scarlet fever in mainland China from 2004 to 2017. In recent years, the incidence of scarlet fever is increasing. Previous studies on the spatial distribution of scarlet fever in China are mainly focused at the provincial and municipal levels, and there is few systematic report on the spatial and temporal distribution characteristics of scarlet fever on the national level. Based on the incidence information of scarlet fever in mainland China between 2004 and 2017 collected from the China Center for Disease Control, this paper systematically explored the Spatio-temporal distribution of scarlet fever by three methods, contains spatial autocorrelation analysis, Spatio-temporal scanning analysis, and trend surface analysis. The results demonstrate that the incidence of scarlet fever varies by seasons, which is in line with double-peak distribution.The first peak generally occurs from May to June and the second one from November to December, while February and August is the lowest period of incidence. Trend surface analysis indicates that the incidence of scarlet fever in northern China is higher than the south, slightly higher in western compared to the east, and lower in the central part. Additionally, the results show that the clustering regions of scarlet fever centrally distributed in the northeast, northwest, north china and some provinces in the east, such as Zhejiang, Shanghai, Shandong, and Jiangsu.&nbsp; &nbsp; &nbsp; &nbsp;</p> 2020-04-02T15:38:30+00:00 Copyright (c) 2020 The Authors