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The COVID-19 epidemic poses a significant challenge to the operation of society and the resumption of work and production. How to quickly track the resident location and activity trajectory of the population, and identify the spread risk of COVID-19 in geospatial space has important theoretical and practical significance for controlling the spread of the virus on a large scale. In this study we take the geographical community as the research object, and use the mobile phone trajectory data to construct the spatiotemporal profile of the potential high-risk population. First, by using the spatio...

Now, researchers from New Jersey City University have been attempting to explore the same factors to identify vulnerability in U.S. cities. Their research, under consideration at the journal Scientific Reports, is currently available on the Research Square* preprint server.

Leprosy incidence remained at around 200,000 new cases globally for the last decade. Current strategies to reduce the number of new patients include early detection and providing post-exposure prophylaxis (PEP) to at-risk populations. Because leprosy is distributed unevenly, it is crucial to identify high-risk clusters of leprosy cases for targeting interventions. Geographic Information Systems (GIS) methodology can be used to optimize leprosy control activities by identifying clustering of leprosy cases and determining optimal target populations for PEP. The geolocations of leprosy cases regi...