Searching for early warning systems during the COVID-19 pandemic, the researchers explored how digital data sources such as geo-social media (e.g. posts on platforms like X, formerly Twitter, that include location data) could improve the disease’s transmission dynamics. This data offers a valuable tool for local event detection.| HeiGIT
Searching for early warning systems during the COVID-19 pandemic, the researchers explored how digital data sources such as geo-social media (e.g. posts on platforms like X, formerly Twitter, that include location data) could improve the disease’s transmission dynamics. This data offers a valuable tool for local event detection.| GIScience Blog
To improve vector control strategies, Dr. Steffen Knoblauch (PostDoc at GIScience and HeiGIT) has developed detailed maps showing where Aedes aegyti is most likely to thrive. Using a holistic approach, his work leverages geospatial big data – including openly available satellite and street view imagery as well as climate data – to identify common breeding habitats. This advancement fills a critical research gap by generating the first large-scale and spatially continuous mosquito distribu...| HeiGIT
With the increasing availability of global disease datasets, Visual Analytics (VA) has emerged as a valuable tool in spatial epidemiology, particularly for studying serotype interactions in diseases like dengue. Dengue, caused by four serotypes (DENV1-DENV4), poses a significant global health threat exacerbated by urbanization and climate change. Traditional approaches rely on static mapping or animation of serotype incidence, but there remains a gap in utilizing VA tools for dynamic and inte...| HeiGIT
With the increasing availability of global disease datasets, Visual Analytics (VA) has emerged as a valuable tool in spatial epidemiology, particularly for studying serotype interactions in diseases like dengue. Dengue, caused by four serotypes (DENV1-DENV4), poses a significant global health threat exacerbated by urbanization and climate change. Traditional approaches rely on static mapping or animation of serotype incidence, but there remains a gap in utilizing VA tools for dynamic and inte...| GIScience Blog