Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

Jianping Li^{1

2}, Kun Guo^{1

2

3}, Enrique Herrera Viedma⁴, Heesoek Lee⁵, Jiming Liu⁶, Ning Zhong⁷, Luiz Flavio Autran Monteiro Gomes⁸, Florin Gheorghe Filip⁹, Shu-Cherng Fang¹⁰, Mujgan Sagir Özdemir¹¹, Xiaohui Liu¹², Guoqing Lu¹³, Yong Shi^{1

2

3

14}

Affiliations

¹ School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China.
² Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China.
³ Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing 100190, China.
⁴ Department of Computer Science and Artificial Intelligence, E.T.S. de Ingenieria Informatica y de Telecomunicaciones, University of Granada, 18071 Granada, Spain.
⁵ Department of Information Management, Korea Advanced Institute of Science and Technology, Seoul 207-43 Korea.
⁶ Department of Computer Science and HKBU-CSD & NIPD Joint Research Laboratory for Intelligent Disease Surveillance and Control, Hong Kong Baptist University, Hong Kong, China.
⁷ Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan.
⁸ Ibmec University Center, Av. Presidente Wilson, 118, Office #1110, 20030-020 Rio de Janeiro, Brazil.
⁹ The Romanian Academy, Bucharest, 010071, Romania.
¹⁰ Industrial and Systems Engineering Department, North Carolina State University, Raleigh, NC 27695, USA.
¹¹ Department of Industrial Engineering, Eskisehir Osmangazi University, 26480 Eskisehir, Turkey.
¹² Department of Computer Science, Brunel University London, London, UB8 3PH, UK.
¹³ Department of Biology and School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE 68182, USA.
¹⁴ College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA.

PMID: 32914139
PMCID: PMC7395641
DOI: 10.1016/j.xinn.2020.100023

Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

Jianping Li et al. Innovation (Camb). 2020.

. 2020 Aug 28;1(2):100023.

doi: 10.1016/j.xinn.2020.100023. Epub 2020 Aug 1.

Authors

Affiliations

¹ School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China.
² Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China.
³ Research Center on Fictitious Economy & Data Science, Chinese Academy of Sciences, Beijing 100190, China.
⁴ Department of Computer Science and Artificial Intelligence, E.T.S. de Ingenieria Informatica y de Telecomunicaciones, University of Granada, 18071 Granada, Spain.
⁵ Department of Information Management, Korea Advanced Institute of Science and Technology, Seoul 207-43 Korea.
⁶ Department of Computer Science and HKBU-CSD & NIPD Joint Research Laboratory for Intelligent Disease Surveillance and Control, Hong Kong Baptist University, Hong Kong, China.
⁷ Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi 371-0816, Japan.
⁸ Ibmec University Center, Av. Presidente Wilson, 118, Office #1110, 20030-020 Rio de Janeiro, Brazil.
⁹ The Romanian Academy, Bucharest, 010071, Romania.
¹⁰ Industrial and Systems Engineering Department, North Carolina State University, Raleigh, NC 27695, USA.
¹¹ Department of Industrial Engineering, Eskisehir Osmangazi University, 26480 Eskisehir, Turkey.
¹² Department of Computer Science, Brunel University London, London, UB8 3PH, UK.
¹³ Department of Biology and School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE 68182, USA.
¹⁴ College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182, USA.

PMID: 32914139
PMCID: PMC7395641
DOI: 10.1016/j.xinn.2020.100023

Abstract

The outbreak of COVID-19 seriously challenges every government with regard to capacity and management of public health systems facing the catastrophic emergency. Culture and anti-epidemic policy do not necessarily conflict with each other. All countries and governments should be more tolerant to each other in seeking cultural and political consensus to overcome this historically tragic pandemic together.

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Conflict of interest statement

The authors declare no competing interests. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Figures

**Figure 1**
More Global Collaboration to Effectively Combat COVID-19

See this image and copyright information in PMC

References

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Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

Affiliations

Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

Authors

Affiliations

Abstract

Conflict of interest statement

Figures

References

Publication types

LinkOut - more resources

Full Text Sources