The effect of population and tourism factors on Covid‐19 cases in Italy: Visual data analysis and forecasting approach-Reference-Cited by-同舟云学术

The effect of population and tourism factors on Covid‐19 cases in Italy: Visual data analysis and forecasting approach

Published:2021-12-14 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Uğuz Sezer¹^ORCID,Yağanoğlu Mete¹^ORCID,Özyer Barış¹^ORCID,Özyer Gülşah Tümüklü¹^ORCID,Tokdemir Gül²^ORCID

Affiliation:

1. Computer Engineering Department, Faculty of Engineering Atatürk University Erzurum Turkey

2. Computer Engineering Department, Faculty of Engineering Çankaya University Ankara Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6774

Reference59 articles.

1. WHO.Coronavirus disease (COVID‐19) outbreak ‐ about the virus; 2020. [Online] Accessed June 18 2020.http://www.euro.who.int/en/health‐topics/health‐emergencies/coronavirus‐covid‐19/novel‐coronavirus‐2019‐ncov

2. WHO.WHO statement on novel coronavirus in Thailand; 2020. [Online] Accessed June 18 2020.https://www.who.int/news‐room/detail/13‐01‐2020‐who‐statement‐on‐novel‐coronavirus‐in‐thailand.

3. WHO.Novel coronavirus(2019‐nCoV) situation report – 10; 2020. [online] Accessed June 18 2020.https://www.who.int/docs/default‐source/coronaviruse/situation‐reports/20200130‐sitrep‐10‐ncov.pdf

4. WHO.Novel coronavirus(2019‐nCoV) situation report – 11; 2020. [Online] Accessed June 18 2020.https://www.who.int/docs/default‐source/coronaviruse/situation‐reports/20200131‐sitrep‐11‐ncov.pdf

5. The first two cases of 2019‐nCoV in Italy: Where they come from?

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