scholarly journals Application of Big Data and Artificial Intelligence in COVID-19 Prevention, Diagnosis, Treatment and Management Decisions in China

2021 ◽  
Vol 45 (9) ◽  
Author(s):  
Jiancheng Dong ◽  
Huiqun Wu ◽  
Dong Zhou ◽  
Kaixiang Li ◽  
Yuanpeng Zhang ◽  
...  
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Big Data ◽  
Prevention And Control ◽  
Vaccine Development ◽  
Management Decision ◽  
Management Decisions ◽  
Health Events ◽  
Effective Diagnosis ◽  
And Control

AbstractCOVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spread rapidly and affected most of the world since its outbreak in Wuhan, China, which presents a major challenge to the emergency response mechanism for sudden public health events and epidemic prevention and control in all countries. In the face of the severe situation of epidemic prevention and control and the arduous task of social management, the tremendous power of science and technology in prevention and control has emerged. The new generation of information technology, represented by big data and artificial intelligence (AI) technology, has been widely used in the prevention, diagnosis, treatment and management of COVID-19 as an important basic support. Although the technology has developed, there are still challenges with respect to epidemic surveillance, accurate prevention and control, effective diagnosis and treatment, and timely judgement. The prevention and control of sudden infectious diseases usually depend on the control of infection sources, interruption of transmission channels and vaccine development. Big data and AI are effective technologies to identify the source of infection and have an irreplaceable role in distinguishing close contacts and suspicious populations. Advanced computational analysis is beneficial to accelerate the speed of vaccine research and development and to improve the quality of vaccines. AI provides support in automatically processing relevant data from medical images and clinical features, tests and examination findings; predicting disease progression and prognosis; and even recommending treatment plans and strategies. This paper reviews the application of big data and AI in the COVID-19 prevention, diagnosis, treatment and management decisions in China to explain how to apply big data and AI technology to address the common problems in the COVID-19 pandemic. Although the findings regarding the application of big data and AI technologies in sudden public health events lack validation of repeatability and universality, current studies in China have shown that the application of big data and AI is feasible in response to the COVID-19 pandemic. These studies concluded that the application of big data and AI technology can contribute to prevention, diagnosis, treatment and management decision making regarding sudden public health events in the future.

scholarly journals Reflection on There Form of China's Emergency Medical Insurance System Based on the Prevention and Control of COVID-19

2020 ◽  
Author(s):  
Hui Cheng ◽  
Meng Luo ◽  
Shaohua Li
Keyword(s):  
Public Health ◽  
Prevention And Control ◽  
Medical Insurance ◽  
Health Events ◽  
Insurance System ◽  
National Medical ◽  
Emergency Medical ◽  
Medical Security ◽  
Medical Institutions ◽  
And Control

Abstract Objective: Based on the Prevention and Control of COVID-19, this paper points out the shortcomings of China's current medical insurance system, and puts forward the concept of establishing emergency medical insurance system.Methods: This paper analyzes the characteristics of the modern epidemic and its special requirements for medical insurance. Putting forward the idea of mechanism construction.Results:The operation of China's national medical insurance system is mainly operated by the insured, the government, medical institutions and medical institutions. However, the rapid spread of the epidemic has caused great disasters to the society. In the face of major public health events, medical insurance should have four characteristics: the "normalization" of the emergency medical insurance system, the fairness of guarantees, the public quality of treatment and positive externalities. China should establish an emergency system in line with these four characteristics from the four parties. Therefore, this paper analyzes the characteristics of modern epidemic risk, its development process and the requirements for the insurance industry in combination with the situation of China's response to dealing with COVID-19, and puts forward that China should further improve the universal medical insurance system and establish an emergency medical security system to better deal with all kinds of sudden public health events, which will still happen in the future.Conclusions:China's national medical insurance system should not be limited to meet people's conventional medical needs. When public health emergencies occur, it is also necessary to establish a sound medical insurance system to operate.The establishment of emergency medical security system is one of the important development directions of our country in the future.

An empirical study on artificial intelligence technology based on big data to assist enterprise management decision

2021 ◽  
pp. 002072092098354
Author(s):  
Jie Guo ◽  
Dong Wang
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Major Change ◽  
Enterprise Management ◽  
Management Decision ◽  
Management Decisions ◽  
Artificial Intelligence Technology ◽  
The Times ◽  
China’S Economy

With the continuous development of China's economy, the level of science and technology has been improved to a great extent. The advent of the era of Internet and cloud computing has brought a major change to China. However, with the advent of the era of big data, a bigger technological change is coming. The arrival of the era of big data has brought a certain impact on China's enterprise management and decision-making, and put forward higher requirements for China's enterprise management and decision-making. Therefore, enterprises need to constantly strive to improve themselves so as to better adapt to the era of big data. In order to keep pace with the development of The Times, major companies and enterprises need to constantly change their internal management methods in order to achieve sustainable and stable development in their own fields and make their management decisions smoother. Among them, optimization and reform of the application of big data are particularly important. Starting from the characteristics of big data and its role in enterprise management decisions, this paper analyzes the current situation of big data management within enterprises and discusses the influence of big data on enterprise management decisions from five aspects, namely, environment, data, participants, organization and technology. And this paper analyzes the construction method and design idea of enterprise decision support system based on artificial intelligence.

scholarly journals Eurosurveillance moves on…

2008 ◽  
Vol 13 (1) ◽  
pp. 1-2
Author(s):  
K Ekdahl ◽  
I Steffens
Keyword(s):  
Public Health ◽  
Prevention And Control ◽  
Editorial Policy ◽  
Communicable Diseases ◽  
European Perspective ◽  
Health Events ◽  
And Control

From this issue of Eurosurveillance, the two previous electronic releases (weekly and monthly) of the journal have been merged into one. The new Eurosurveillance is published every Thursday, with rapid updates on major public health events and news items alongside longer scientific articles and reviews. At the same time we are updating our editorial policy (http://www.eurosurveillance.org/editorial_policy/index.asp) and reviewing the types of articles (http://www.eurosurveillance.org/authors/index.asp) to better reflect our commitment to covering all aspects of epidemiology, prevention and control of communicable diseases from a European perspective.

scholarly journals Reflection on the Reform of China's Emergency Medical Insurance System based on the Prevention and Control of COVID-19

2020 ◽  
Author(s):  
Luo Meng ◽  
Hui Cheng ◽  
Shaohua Li
Keyword(s):  
Public Health ◽  
Prevention And Control ◽  
Medical Insurance ◽  
Health Events ◽  
Insurance System ◽  
National Medical ◽  
Emergency Medical ◽  
Medical Security ◽  
Medical Institutions ◽  
And Control

Abstract Objective: Based on the Prevention and Control of COVID-19, this paper points out the shortcomings of China's current medical insurance system, and puts forward the concept of establishing emergency medical insurance system.Methods: This paper analyzes the characteristics of the modern epidemic and its special requirements for medical insurance. Putting forward the idea of mechanism construction.Results:The operation of China's national medical insurance system is mainly operated by the insured, the government, medical institutions and medical institutions. However, the rapid spread of the epidemic has caused great disasters to the society. In the face of major public health events, medical insurance should have four characteristics: the "normalization" of the emergency medical insurance system, the fairness of guarantees, the public quality of treatment and positive externalities. China should establish an emergency system in line with these four characteristics from the four parties. Therefore, this paper analyzes the characteristics of modern epidemic risk, its development process and the requirements for the insurance industry in combination with the situation of China's response to dealing with COVID-19, and puts forward that China should further improve the universal medical insurance system and establish an emergency medical security system to better deal with all kinds of sudden public health events, which will still happen in the future.Conclusions:China's national medical insurance system should not be limited to meet people's conventional medical needs. When public health emergencies occur, it is also necessary to establish a sound medical insurance system to operate.The establishment of emergency medical security system is one of the important development directions of our country in the future.

scholarly journals Infection Prevention and Control for 2019 Novel Coronavirus (2019 nCoV) in Acute Healthcare Settings: The Canadian Response

2020 ◽  
Vol 41 (S1) ◽  
pp. s17-s18 ◽  
Author(s):  
Toju Ogunremi ◽  
Kathleen Dunn ◽  
Jennie Johnstone ◽  
Joanne Embree
Keyword(s):  
Public Health ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Shared Responsibility ◽  
World Health ◽  
Infection Prevention And Control ◽  
Health Events ◽  
Healthcare Settings ◽  
Acute Healthcare ◽  
And Control

Background: Severe acute respiratory coronavirus virus 2 (SARS-CoV-2), able to cause pneumonia in humans, was discovered in Wuhan, Hubei Province, China. Investigations related to transmissibility are ongoing, but human-to-human transmission involving healthcare workers providing patient care and close contacts of infected patients have been confirmed. Infection control procedures are necessary to prevent transmission during delivery of health care in healthcare settings. Public health in Canada is a shared responsibility among municipal, provincial, territorial, and federal governments. Significant public health events require coordination between all levels of government and a consistent approach across jurisdictions. The objective of this summary is to describe the Public Health Agency (PHAC)’s Infection Prevention and Control (IPC) guideline on SARS-CoV-2. Methods: The PHAC’s interim guideline for infection prevention and control of 2019-nCoV in acute healthcare settings was informed by the currently limited evidence available, and adapted to the context of healthcare delivery in Canada. The guideline is based upon Canadian guidance developed for previous coronavirus outbreaks (eg, SARS and MERS), as well as the World Health Organization (WHO)’s interim guidance. Technical advice was provided by the National Advisory Committee on Infection Prevention and Control (NAC-IPC) of the Government of Canada. Interjurisdictional collaboration and decision making between multiple authorities and levels of government was facilitated using PHACs federal/provincial/territorial (FPT) Public Health Response Plan for Biological events (Fig. 1). Results: In the absence of effective drugs or vaccines, IPC strategies to prevent or limit SARS-CoV-2 transmission in healthcare settings include the following: prompt identification of signs, symptoms and exposure criteria, implementation of appropriate IPC measures (eg, contact and droplet precautions, patient isolation, N95 respirator plus eye protection when performing aerosol-generating medical procedures on a person under investigation), and etiologic diagnosis. Guideline recommendations are informed by collective expert interpretation of available evidence. Recommendations cover all relevant areas including screening and assessment, public health surveillance and notification, laboratory testing and reporting, respiratory hygiene, hand hygiene, patient placement and flow, management of visitors, use of personal protective equipment, environmental cleaning and discontinuation of precautions. Conclusions: This guideline is an ever-changing document. Changes in recommendations provided may be warranted with new evidence, changes in WHO guidelines, or other identified concerns. FPT governments continue to work collaboratively to ensure that Canada is ready to respond to public health events and is prepared to protect the health of Canadians. Opportunities for international collaboration on IPC products, as well as knowledge exchange and mobilization, continue to thrive.Funding: NoneDisclosures: None

scholarly journals CRISPR/Cas System: A Potential Technology for the Prevention and Control of COVID-19 and Emerging Infectious Diseases

2021 ◽  
Vol 11 ◽  
Author(s):  
Ronghua Ding ◽  
Jinzhao Long ◽  
Mingzhu Yuan ◽  
Yuefei Jin ◽  
Haiyan Yang ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Prevention And Control ◽  
Pathogen Detection ◽  
Vaccine Development ◽  
Emerging Infectious Diseases ◽  
Public Health Problem ◽  
Global Public Health ◽  
The Future ◽  
And Control

The continued global pandemic of coronavirus disease 2019 (COVID-19) poses a serious threat to global public health and social stability and it has become a serious global public health problem. Unfortunately, existing diagnostic and therapeutic approaches for the prevention and control of COVID-19 have many shortcomings. In recent years, the emerging CRISPR/Cas technology can complement the problems of traditional methods. Biological tools based on CRISPR/Cas systems have been widely used in biomedicine. In particular, they are advantageous in pathogen detection, clinical antiviral therapy, drug, and vaccine development. Therefore, CRISPR/Cas technology may have great potential for application in the prevention and control of COVID-19 and emerging infectious diseases in the future. This article summarizes the existing applications of CRISPR/Cas technology in infectious diseases with the aim of providing effective strategies for the prevention and control of COVID-19 and other emerging infectious diseases in the future.

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