Early Warning and Automated Response System[edit | edit source]
Early Warning and Automated Response System (EWARS) is a system to support spatial decision support. Spatial pattern of risk and spatial allocation of resources according to risk is a primary objective
Mathematical Analysis and Processing of spatial Pattern and Processes[edit | edit source]
For spatial decision support the following basics are recommended for your learning steps:
- Moving Average is used to smooth spatial data. For this learning objective it is necessary to examine the the moving average in discrete and continuous setting and on image processing as a first step.
- (Health Maps and Animation) Analyse how to create a webbased heatmap with Leaflet of OpenLayers for visualize spatial pattern of high risk areas for communicable diseases.
Learning Task[edit | edit source]
- (Capacity Building) Learn about international approaches to combine Capacity Building and Open Educational Resource for Global Health. Apply the ideas to Spatial Epidemiology and learning resource in sense of Think globally - act locally!
- (Spatial Risk Map) Analyse the COVID-19 outbreak 2019/20 and check how a spatial risk map can be created by using webbased technology (see COVID-19/Time Series and COVID-19 Data).
See also[edit | edit source]
- Wikipedia:Spatial epidemiology
- Expert Focus Group for Space and Global Health
- COVID-19/Time Series and COVID-19 Data
References[edit | edit source]
- UN-Guidelines for Use of SDG logo and the 17 SDG icons (2016/10) - http://www.un.org/sustainabledevelopment/wp-content/uploads/2016/10/UN-Guidelines-for-Use-of-SDG-logo-and-17-icons.October-2016.pdf
- Guthub Repository Heatmap Plugin for Leaflet (2016) GitHub Leaflet/Leaflet.heat - URL: https://github.com/Leaflet/Leaflet.heat (accessed 2020/03/20)
- Kefalas, A. G. (1998). Think globally, act locally. Thunderbird International Business Review, 40(6), 547-562.