According to the initial research plan, the Spatial analysis and Modelling stage is performed starting from the second year of study, right after the stages of literature review and methodology definition.
Deep understanding and analysis require advanced satellite remote sensing and spatial analysis techniques in Epidemiology. Advanced techniques and methods are to be used with the help of specific software. A variety of results are expected, including models of spatio-temporal human behavior, cartographic products and GIS applications (like digital maps, animated time-series maps and dashboards).
This doctoral research aims to contribute to the better understanding of the spatial behavior, extent and intensity of the COVID-19 pandemic in Cyprus, while considering and investigating the effects of local population connectivity, human mobility and transport. Through the geographical study of human activity dynamic characteristics, this research will model the effects of spatio-temporal behavior of individuals during the transmission and spread of the infectious coronavirus (SARS-CoV-2) disease. To this end, extensive and in-depth collection and analysis of local high-quality spatial, mobility and population data are required. The primary research focus is on human mobility, while Cyprus is the geographical area of study.
COVID-19 Data Analytics
Using COVID-19 data to fight & contain the pandemic with advanced analytics is critical to protect public health.
- Maps provide an intuitive & efficient way to visualize key data points relating to COVID-19 spread.
- Spatial analysis can be used to determine areas at risk from overcrowding.
- Using spatial data on human mobility, governments can see where measures are or aren’t working using dashboards and monitor critical POIs (hospitals, supermarkets, clinics) to understand spatial patterns and decide for response measures.
