What is Geospatial Data Analytics?
Geospatial analytics is a field of advanced analytics that focuses on accumulating, manipulating, and displaying geographic information system (GIS) data on interactive data dashboards along with GPS and satellite images for easy analysis. Geospatial data analytics generally relies on geographic coordinates, location intelligence, and definite identifiers such as address and zip code to capture the necessary geographic information.
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Why it Matters Now?
Owing to the ongoing advances in technology and location analytics, staggering volumes of spatial datasets that offer details on the COVID-19 outbreak have now emerged. To capture and analyze this data analytics-driven real-time dashboards and advanced data repositories are being built to drive a more transparent response effort. Also, since the outbreak has impacted lives across the globe, it would be difficult for government bodies to analyze the impact on a large scale without graphical interpretations and maps that offer detailed visualizations. As an increasing number of cases begin to emerge from different countries, researchers and other healthcare professionals have also started leveraging geospatial data analytics to analyze data and improve services.
Benefits of Geospatial Analytics
Make Analytics Insights more Engaging through Interactive Visualizations & Data Dashboards
When events and trends are mapped and displayed on interactive dashboards, they are easier to understand and act upon. Geospatial data mining empowers businesses to leverage data and location-based insights to analyze factors leading to disease progression.
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Leverage Predictive Analytics Insights to Predict Possible Events or Occurrence of Diseases
Geospatial data analytics can help organizations and government officials to anticipate and prepare for possible changes based on spatial conditions and location-based events.
Develop Targeted Solutions and Drugs Based on Location-Specific Insights to Control the Situation
Location analytics in combination with geospatial big data analytics can help healthcare decision-makers understand why certain formulations that work in one region often fail in another. It can also help government bodies to understand various aspects of an outbreak by monitoring and tracking it in real-time.
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What Location Analytics Breakthroughs Might Occur to Slow Down the Spread of COVID-19?
A recent report suggests that China has been using AI and advanced analytics to contain the spread of the disease. By analyzing occurrences and disease patterns healthcare officials and researchers are now integrating location data with GPS movement of mobile phones, to create predictive analytics models. Insights from such data models are helping in containing the disease and reducing the spread of the virus. While this level of data sharing would likely not occur in many other countries, early indications suggest the actions have meaningfully reduced the impact of the disease, with China already reporting fewer fresh cases than several other countries. Many such breakthroughs in the filed of location and geospatial analytics are poised to take place in the coming years, thereby, helping healthcare organizations and government officials put an end to such occurrences.