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Current Situation of Prevention and Control of New Coronavirus in China and Countermeasures of Intellectual Property Rights from the Perspective of Artificial Intelligence Public Health

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DOI: 10.23977/jaip.2022.050111 | Downloads: 23 | Views: 865

Author(s)

Xiaomo Yu 1,2, Xiaomeng Zhou 1, Derong Wang 1, Wenjing Li 1,2, Xinquan Liu 1

Affiliation(s)

1 Department of Logistics Management and Engineering, Nanning Normal University, Nanning 530001, Guangxi, China
2 Guangxi Key Lab of Human-machine Interaction and Intelligent Decision, Nanning Normal University, Nanning 530001, Guangxi, China

Corresponding Author

Derong Wang

ABSTRACT

Since the new coronavirus and covid-19 cases were first reported in Wuhan City, Hubei Province on December 31, 2019, the new coronavirus epidemic rapidly spread to Wuhan and spread all over the country, forming a major public health emergency. This paper mainly studies the current situation of prevention and control of new coronavirus in China and the Countermeasures of intellectual property rights from the perspective of artificial intelligence public health. In this paper, the establishment of epidemic prevention headquarters for public health events is proposed by using artificial intelligence technology. In the actual operation of the epidemic prevention headquarters, the emergency plan needs to adjust the action plan in real time, and needs to monitor, coordinate, organize and manage the implementation process and resource allocation of the plan in real time. The results showed that 89% of the 18-30-year-old group got the new coronavirus epidemic information through the Internet channel, and 5% obtained the new coronavirus information through the television media channel. 65% of the 31-49 year-old age group obtained the new coronavirus epidemic information through the Internet channel, and 25% obtained the new coronavirus information through the television media channel. 85%, 90% and 95% of the age groups of 18-30, 31-49 and 50-70 years old had full trust in the information released by the government. It shows that the majority of the people have full confidence in the information of the new coronavirus released by the government. Most of the population get the information of new coronavirus through Internet. At this time, we need to use artificial intelligence technology to maliciously exaggerate the new coronavirus epidemic information on the Internet, and take measures to delete it, so as to prevent these information from spreading to the masses, which will lead to people's instability.

KEYWORDS

Artificial Intelligence, Public Health Incidents, New Coronavirus Prevention and Control, Intellectual Property Rights, Response Strategies

CITE THIS PAPER

Xiaomo Yu, Xiaomeng Zhou, Derong Wang, Wenjing Li and Xinquan Liu, Current Situation of Prevention and Control of New Coronavirus in China and Countermeasures of Intellectual Property Rights from the Perspective of Artificial Intelligence Public Health. Journal of Artificial Intelligence Practice (2022) Vol. 5: 75-87. DOI: http://dx.doi.org/10.23977/jaip.2022.050111.

REFERENCES

[1] A J C O , B M C O , C B D A , et al. Polio eradication in the African Region on course despite public health emergencies. Vaccine, 2017, 35(9):1202-1206.
[2] Koenig, Kristi L. Identify, Isolate, Inform: A 3-pronged Approach to Management of Public Health Emergencies. Disaster Medicine & Public Health Preparedness, 2015, 9(01):86-87.
[3] Penta S, Marlowe V G, Gill K, et al. Of Earthquakes and Epidemics: Examining the Applicability of the All‐Hazards Approach in Public Health Emergencies. Risk, Hazards & Crisis in Public Policy, 2017, 8(1):48-67.
[4] Zhang L, Zhao W, Sun B, et al. How scientific research reacts to international public health emergencies: a global analysis of response patterns. entometrics, 2020, 124(1):747-773.
[5] Powles J, Hodson H. Google DeepMind and healthcare in an age of algorithms. Health & Technology, 2017, 7(4):351-367.
[6] Khanna S. Artificial intelligence: contemporary applications and future compass. International Dental Journal, 2015, 60(4):269-272.
[7] Bing G, Ordieres-Mere J, Cabrera C B . Prediction models for ozone in metropolitan area of Mexico City based on artificial intelligence techniques. International journal of information and decision ences, 2015, 7(2):115-139.
[8] Lu H, Li Y, Chen M, et al. Brain Intelligence: Go Beyond Artificial Intelligence. Mobile Networks and Applications, 2017, 23(2):368-375.
[9] Gilbert J P, Ng V, Niu J, et al. A call for an ethical framework when using social media data for artificial intelligence applications in public health research. Canada communicable disease report = Relevé des maladies transmissibles au Canada, 2020, 46(6):169-173.
[10] Raza M Q, Khosravi A. A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renewable and Sustainable Energy Reviews, 2015, 50(oct.):1352-1372.
[11] Crawford E D, Batuello J T, Snow P, et al. The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma . Cancer, 2015, 88(9):2105-2109.
[12] Zang Y, Zhang F, Di C A, et al. Advances of flexible pressure sensors toward artificial intelligence and health care applications . Materials Horizons, 2015, 2(2):25-59.
[13] Polikar R, Shinar R, Udpa L, et al. Artificial intelligence methods for selection of an optimized sensor array for identification of volatile organic compounds . Sensors & Actuators B Chemical, 2015, 80(3):243-254.
[14] Davis E, Marcus G. Commonsense reasoning and commonsense knowledge in artificial intelligence . Communications of the Acm, 2015, 58(9):92-103.
[15] Rigas E S, Ramchurn S D, Bassiliades N. Managing Electric Vehicles in the Smart Grid Using Artificial Intelligence: A Survey . IEEE Transactions on Intelligent Transportation Systems, 2015, 16(4):1619-1635.
[16] Spranger C B , Villegas D , Kazda M J , et al. Assessment of physician preparedness and response capacity to bioterrorism or other public health emergency events in a major metropolitan area.. Disaster Management & Response, 2007, 5(3):82-86.
[17] Angus Nicoll, Deborah Wilson, Nigel Calvert,. Managing major public health crises: Lessons from recent events in the United States and the United Kingdom . Bmj British Medical Journal, 2001, 323(7325):1321-1322.
[18] Fenton E, Chillag K, Michael N L. Ethics Preparedness for Public Health Emergencies: Recommendations From the Presidential Bioethics Commission . American Journal of Bioethics Ajob, 2015, 15(7):77-79.
[19] Hinton C F, Griese S E, Anderson M R, et al. CDC Grand Rounds: Addressing Preparedness Challenges for Children in Public Health Emergencies . MMWR. Morbidity and mortality weekly report, 2015, 64(35):972-974.
[20] Stratton, Samuel J. Zika Virus Association with Microcephaly: The Power for Population Statistics to Identify Public Health Emergencies . Prehospital & Disaster Medicine, 2016, 31(02):119-120.

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