Literature DB >> 34149966

Research on the Influence Mechanism of Epidemic Information Disclosure on Screening Authenticity Information.

Xiaohui Huang1, Gang Li1,2, Yu Wang1, Xiaohui Li1.   

Abstract

In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public's ability to discriminate against false information. The influence mechanism of epidemic information disclosure on the identification of true and false information was studied, and the influencing factors of epidemic information disclosure were analyzed and studied under the framework of the "Technology-Organization-Environment" (TOE) model and the two-factor theory of driving factors and impeding factors. Combined with the relevant data from the Open Data Network of Shandong and Jinan and the attention of hot news events on the Internet since the outbreak of the epidemic, it is proposed that information disclosure is conducive to reasonably guiding the public attitude and enhancing the ability of information screening.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  control; epidemic information disclosure; epidemic prevention; influencing factors; information screening

Year:  2021        PMID: 34149966      PMCID: PMC8197418          DOI: 10.1016/j.procs.2021.04.040

Source DB:  PubMed          Journal:  Procedia Comput Sci


  14 in total

1.  Removing the shadow of suspicion: the effects of apology versus denial for repairing competence- versus integrity-based trust violations.

Authors:  Peter H Kim; Donald L Ferrin; Cecily D Cooper; Kurt T Dirks
Journal:  J Appl Psychol       Date:  2004-02

2.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

3.  Assessment of H1N1 questions and answers posted on the Web.

Authors:  Sujin Kim; Thomas Pinkerton; Nithya Ganesh
Journal:  Am J Infect Control       Date:  2011-08-15       Impact factor: 2.918

4.  A need for open public data standards and sharing in light of COVID-19.

Authors:  Lauren Gardner; Jeremy Ratcliff; Ensheng Dong; Aaron Katz
Journal:  Lancet Infect Dis       Date:  2020-08-10       Impact factor: 25.071

5.  Open access epidemiological data from the COVID-19 outbreak.

Authors:  Bo Xu; Moritz U G Kraemer
Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

6.  Data sharing and outbreaks: best practice exemplified.

Authors:  David L Heymann
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

7.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

8.  Advancing COVID-19 vaccines - avoiding different regulatory standards for different vaccines and need for open and transparent data sharing.

Authors:  Eskild Petersen; Christian Wejse; Alimuddin Zumla
Journal:  Int J Infect Dis       Date:  2020-08-19       Impact factor: 3.623

Review 9.  Data mining and analysis of scientific research data records on Covid-19 mortality, immunity, and vaccine development - In the first wave of the Covid-19 pandemic.

Authors:  Petar Radanliev; David De Roure; Rob Walton
Journal:  Diabetes Metab Syndr       Date:  2020-07-04
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  1 in total

1.  Timeliness of information disclosure during the low transmission period of COVID-19: resident-level observational study in China.

Authors:  Tingting Yang; Xin Shen; Yongguang Yang; Yong Gan; Jing Feng; Zihui Lei; Weixin Zhang; Yuxin Zhao; Lijun Shen
Journal:  BMC Public Health       Date:  2022-03-01       Impact factor: 3.295

  1 in total

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