Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development
Reference33 articles.
1. Kamel Boulos, M. N., & Geraghty, E. M. (2020). Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. International Journal of Health Geographics, 19, 8. https://doi.org/10.1186/s12942-020-00202-8.
2. Kumar, A. (2020). Modeling geographical spread of COVID-19 in India using network-based approach. medRxiv 2020.04.23.20076489. https://doi.org/10.1101/2020.04.23.20076489 Available at: https://www.medrxiv.org/content/10.1101/2020.04.23.20076489v1.full.pdf.
3. https://www.mygov.in/Covid-19. Accessed 23 May 2020.
4. Werneck, G. L. (2008). Georeferenced data in epidemiologic research. Ciência&SaúdeColetiva, 13(6), 1753–1766.
5. Subramanian, S. V., Karlsson, O., Zhang, W., & Kim, R. (2020). Geo-mapping of COVID-19 risk correlates across districts and parliamentary constituencies in India. Harvard Data Science Review. Retrieved from https://hdsr.mitpress.mit.edu/pub/zgoxm3ve.
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