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

Li, Jian Ping; Guo, Kun; Viedma, Enrique Herrera; Lee, Heesoek; Liu, Jiming; Zhong, Ning; Gomes, Luiz Flávio Autran Monteiro; Filip, Florin Gheorghe; Song, Fang; Özdemir, Müjgan Sağır; Liu, Xiaohui; Lu, Guoqing; Shi, Yong

doi:10.1016/j.xinn.2020.100023

Cited by 41 publications

(28 citation statements)

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“…Coding trees of the main findings were developed, key findings were extracted, and data saturation was discussed among the researchers. All information was transferred into the NVivo program (NVivo, qualitative data analysis software; QSR International Pty Ltd., version 11,2015) to derive the themes. Then, the findings were reconsidered by the research members before conclusions were drawn in the final step.…”

Section: Methodsmentioning

confidence: 99%

“…Public health measures have been introduced, such as maintaining distancing, wearing face masks and distance learning for schoolchildren [8,9]. The pandemic has stimulated collaboration among people worldwide, particularly with respect to prevention and control measures [10,11] at local, national, and international levels [12]. While various prevention and control measures have been implemented, many negative experiences have been reported for different groups of people who have different backgrounds in terms of education, economic status and citizenship [13].…”

Section: Introductionmentioning

confidence: 99%

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Experiences and expectations regarding COVID-19 prevention and control measures among the hill tribe population of northern Thailand: a qualitative study

et al. 2021

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Background COVID-19 has been a major human threat for a year. A large number of people have been infected and killed globally, including hill tribe people living in remote and border areas between Thailand and Myanmar. Different expectations of and experiences with the implemented disease prevention and control measures by local, national and international organizations have been widely reported. This study aimed to understand the experiences and expectations regarding the disease prevention and control measures that were implemented among hill tribe people in Thailand. Methods Qualitative data were collected from participants aged 20 and older who belonged to the hill tribes living on the border of northern Thailand and Myanmar. A semistructured questionnaire was used to guide interviews. Information was extracted for thematic analysis by the NVivo program. Results Fifty-seven participants (36 female, 21 male) were interviewed; 27 participants were Thai Yai, 14 participants were Yunnan Chinese, 8 participants were Akha, and 8 participants were from other tribes. The average age was 45.8 years (min = 20 years, max = 90 years). Thirty participants had never attended school, and the other 27 participants had received education at different levels, from primary school to higher education. Forty participants were unemployed, 13 worked as agriculturists, and the other 4 were attending school. Both positive experiences, such as improving personal hygiene practices, maintaining close contact and increasing relationships among family members and demonstrating the leadership of the villager leaders, and negative experiences, including interruption of social interactions, family financial problems, poor access to medical care services, and invisible people to the government, were found. Different expectations were observed regarding organizations at the local, national, and international levels. Expectations at the local level included villagers and community leaders taking action to strongly contribute to prevention and control measures and to prevent unscreened people from entering the village. Obtaining accurate information about the disease and being financially supported were expectations at the national level, while closing borders to protect cases from overflowing into their villages was an international-level expectation. Conclusion Although hill tribes reside in very remote rural areas, they experience both positive and negative effects of the disease prevention and control measures implemented by organizations. Their expectations are formally and informally voiced to policy makers at the local, national and international levels.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experiences and expectations regarding COVID-19 prevention and control measures among the hill tribe population of northern Thailand: a qualitative study

et al. 2021

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“…At present, the situation of global epidemic prevention and control is grim, and international cooperation is particularly important [26]. We should strengthen international exchanges and cooperation, strengthen the sharing of scientific research achievements and resources, and jointly build a global collaborative research and development system for artificial intelligence epidemic prevention and control technology [27].…”

Section: Resultsmentioning

confidence: 99%

The Application and Legal Issues of Artificial Intelligence in the Global Prevention and Control of the COVID-19 Epidemic

Pan¹

2021

Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020)

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Artificial intelligence technology has played an important role in the global prevention and control of the COVID-19 pneumonia pandemic , but there are also some legal problems. In this paper, firstly, the contribution of artificial intelligence technology in COVID-19 prevention and control is analyzed and summarized, which involves many fields where artificial intelligence plays a key role: from virus protein molecular research, medical diagnosis and treatment, infectious disease propagation prediction and early warning, social public opinion analysis and rumor recognition, and further discusses the subdivision direction and development potential of artificial intelligence in various fields. Secondly, the legal and ethical problems in the application of artificial intelligence in epidemic prevention and control are summarized into three aspects: personal privacy and data protection, intellectual property rights, and network security risks, and the causes and conditions of these problems are analyzed in detail, and the possible temporary solutions are discussed. Finally, it calls for strengthening international cooperation and building a global collaborative research and development system for artificial intelligence epidemic prevention and control; It is expected that China will speed up the formulation of laws and regulations related to artificial intelligence and give full play to the guarantee role of laws and regulations as soon as possible; Thinking and looking forward to the global governance pattern in the post-epidemic era.

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“…The applications of inverted distributions have been discussed with many researchers, and the reader can refer to Abd AL-Fattah et al [ 2 ], Barco et al [ 3 ], Hassan and Abd-Allah [ 4 ], Hassan and Mohamed [ 5 ], Muhammed [ 6 ], Chesneau et al [ 7 ], Usman and ul Haq [ 8 ], Eferhonore et al [ 9 ] among others. The modeling of COVID-19 data have been discussed with many researchers, and the reader can refer to Kumar [ 10 ], Khakharia et al [ 11 ], Li et al [ 12 ], Liu et al [ 13 ], Wang [ 14 ], Lalmuanawma et al [ 15 ] and Bullock et al [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data

Almetwally

2021

Ann. Data. Sci.

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This paper aims at defining an optimal statistical model for the COVID-19 distribution in the United Kingdom, and Canada. A combining the inverted Topp–Leone distribution and the odd Weibull family introduces a new lifetime distribution with a three-parameter to formulate the odd Weibull inverted Topp–Leone (OWITL) distribution. As a simple linear representation, hazard rate function, and moment function, this new distribution has several nice properties. To estimate the unknown parameters of OWITL distribution, maximum likelihood, least-square, weighted least-squares, maximum product spacing, Cramér–von Mises estimators, and Anderson–Darling estimation methods are used. To evaluate the use of estimation techniques, a numerical outcome of the Monte Carlo simulation is obtained.

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

Cited by 41 publications

References 4 publications

Experiences and expectations regarding COVID-19 prevention and control measures among the hill tribe population of northern Thailand: a qualitative study

Experiences and expectations regarding COVID-19 prevention and control measures among the hill tribe population of northern Thailand: a qualitative study

The Application and Legal Issues of Artificial Intelligence in the Global Prevention and Control of the COVID-19 Epidemic

The Odd Weibull Inverse Topp–Leone Distribution with Applications to COVID-19 Data

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