Data Analytics: COVID-19 Prediction Using Multimodal Data-Reference-Cited by-同舟云学术

Data Analytics: COVID-19 Prediction Using Multimodal Data

Published:2020 Issue: Volume: Page:1-10
ISSN:2191-530X
Container-title:Intelligent Systems and Methods to Combat Covid-19
language:
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Author:

Mahalle Parikshit N.,Sable Nilesh P.,Mahalle Namita P.,Shinde Gitanjali R.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6572-4_1

Reference30 articles.

1. The Novel Corona Virus Pneumonia Emergency Response Epidemiology Team. (2020). The epidemiological characteristics of an outbreak of 2019 novel corona virus diseases (COVID-19)—China, 2020. China CDC Weekly, 2, 113–122.

2. WHO. (2020). Novel corona virus (2019-nCoV) situation report—39. Cited March 2020. Available from: https://www.who.int/docs/default-source/coronaviruse/situationreports/20200228-sitrep-39-covid-9.pdf .

3. WHO. (2020). Novel corona virus (2019-nCoV) situation report—52. Cited March 2020. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200312-sitrep-52-covid-19.pdf .

4. The center of evidence-based medicine develops, promotes and disseminates better evidence for healthcare CEBM-University of OXFORD report. (2020). Cited April 6, 2020. https://www.cebm.net/covid-19/covid-19-what-proportion-are-asymptomatic/ .

5. Singhal, T. (2020). A review of coronavirus disease-2019 (COVID-19). Indian Journal of Pediatrics, 87(4), 281–286.

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