GeoAI-Based Covid-19 Prediction Model
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0981-0_51
Reference25 articles.
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2. Dangi RR, George M (2020) Temperature, population and longitudinal analysis to predict potential spread for COVID-19. In: Population and longitudinal analysis to predict potential spread for COVID-19, 24 Mar 2020
3. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Cao B (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395(10223):497–506
4. VoPham T, Hart JE, Laden F, Chiang YY (2018) Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology. Environ Health 17(1):1–6
5. Li W (2020) GeoAI: where machine learning and big data converge in GIScience. J Spat Inf Sci 20:71–77
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