Abstract
COVID-19 has changed our lifestyle; nowadays, activities such as studying, working, and meetings, among others, have drastically changed from being face to face to being remote; however, there is still an activity that has not changed as quickly as needed because of its main purpose, i.e., transportation. In this approach, a complete COVID-19 geospatial analysis is conducted correlating official reported cases of COVID-19-infected individuals and those who died with the data of public transportation, focusing on specific areas and the subway service in Mexico City. The geospatial analysis allows identifying the importance of some subway stations and their influence on the rate of infected people and also allows visualizing the distribution of COVID-19 all over the geographic areas near the subway stations and understanding the distribution of COVID-19 in the city. Finally, the approach generates a visualization model of the distribution of COVID-19 and its relation to the subway service using geospatial intelligence.
| Original language | English |
|---|---|
| Title of host publication | Digital Innovation for Healthcare in COVID-19 Pandemic |
| Subtitle of host publication | Strategies and Solutions |
| Publisher | Elsevier |
| Pages | 201-216 |
| Number of pages | 16 |
| ISBN (Electronic) | 9780128213186 |
| ISBN (Print) | 9780128232101 |
| DOIs | |
| State | Published - 1 Jan 2022 |
Keywords
- COVID-19
- Geospatial analysis
- Geospatial intelligence
- Public transportation
- Spatial distribution
- Subway
