Hotspots of COVID-19 Information Research and the Enlightenment to China

Abstract

Abstract: There are many new characteristics of the existence and changes of COVID-19 information. Understanding the research in this field will help researchers and governors to carry out follow-up work more scientifically and accurately. This paper takes the COVID-19 information research in the WoS core collection as the object, sorts out the research overview, reveals the research hotspots with the combination of literature analysis visualization tools and literature content, and summarizes the enlightenment for Chinese researchers. The research on COVID-19 information has experienced two stages of rapid growth and slight decline, and has been widely followed by researchers from all over the world, with a high degree of disciplinary concentration and obvious interdisciplinary characteristics. The current research hotspots are the formation and response of misleading COVID-19 information in social media, the impact of COVID-19 information cognition on epidemic prevention and control behavior, the psychological impact and response of COVID-19 information, as well as the COVID-19 analysis based on user data and information ethics. Chinese researchers can focus on promoting follow-up research from four aspects: pay more attention to international cooperation, grasp emerging and stable hotspots, strengthen research in the field of library and information, and highlight China’s contribution.

Tong Zhaojuan (Shanghai University of Finance and Economics Library) Xu Xin (Department of Information Management, Faulty of Economics and Management, East China Normal University). Hotspots of COVID-19 Information Research and the Enlightenment to China[J]. Libraly Journal, 2023, 42(383): 16-26.

References

[ 1 ] Wen F，Ye H，Wang Y，et al. Icing on the Cake：“Amplification Effect”of Innovative Information Form in News Reports About COVID-19[J]. Frontiers In Psychology，2021，12（600523）.
[ 2 ] Karakose T，Demirkol M. Exploring the emerging COVID-19 research trends and current status in the field of education：a bibliometric analysis and knowledge mapping[J]. Educational Process：International Journal，2021，10（2）：7—27.
[ 3 ] 李爱花，任慧玲，张玢.基于文献计量的新型冠状病毒肺炎研究现状分析[J].数字图书馆论坛，2020（3）：2—8.
[ 4 ] 令娟，樊玉清，胡兰文，等.基于CiteSpace及VOSviewer的2019新型冠状病毒研究热点的可视化分析[J].中华医院感染学杂志，2020，30（10）：1468—1474.
[ 5 ] Liu J，Nie H，Li S，et al. Tracing the Pace of COVID-19
Research：Topic Modeling and Evolution[J]. Big Data Research，2021，25：100236.
[ 6 ] 周志伟，李海英，陈跃来，等.基于Web of Science核心合集数据库的中医药治疗新型冠状病毒肺炎可视化分析[J].中国中医药图书情报杂志，2021，45（3）：6—11.
[ 7 ] 田沛霖，杨思洛.中外图书情报领域的新冠疫情研究对比[J].图书馆论坛，2022，42（1）：21—31.
[ 8 ] 杨春森，韩海军.近期体育核心期刊刊发新冠肺炎疫情论文综述[J].体育科技文献通报，2021，29（8）：209—212.
[ 9 ] 钱聪.农业经济领域疫情问题研究现状与趋势展望[J].农业展望，2020，16（12）：22—30.
[10] Pfeifer L S，Heyers K，Ocklenburg S，et al. Stress research during the COVID-19 pandemic and beyond[J]. Neuroscience & Biobehavioral Reviews，2021，131：581—596.
[11] 刘春丽，盛南洪.中外COVID-19科研产出分布比较及我国研究热点分析——以Dimensions COVID-19数据集为例[J].科学观察，2022，17（1）：
38—51.
[12] Fry C V，Cai X，Zhang Y，et al. Consolidation in a crisis：Patterns of international collaboration in early COVID-19 research[J]. PloS one，2020，15（7）：e236307.
[13] Divekar N，Itankar N，Malge S. Exploring the Research Trends in COVID-19 in Collaboration with Industry 4.0 Technology as an Indispensable Effective Tool to promote Global Health through Bibliometric Analysis[J]. Journal of Physics：Conference Series，2021，1964（4）：42001.
[14] Shaukat R，Ali N，Naveed M A. Mapping the Literature on Health Literacy related to Covid-19 Pandemic：A Scientometric Analysis[J]. Library Philosophy And Practice，2021：1—15.
[15] 张生太，宣雅迪，仇泸毅，等.基于社会网络分析和文献计量学的新冠肺炎学术研究现状与特点研究[J].北京邮电大学学报（社会科学版），2020，22（5）：87—98.
[16] 张爽，汪芩州，石锋，等.基于文献计量学的冠状病毒中外研究现状分析[J].西南交通大学学报（社会科学版），2020，21（4）：127—134.
[17] Benach J，Cash-Gibson L，Rojas-Gualdron D F，et al. Inequalities in COVID-19 inequalities research：Who had the capacity to respond?[J]. PLoS One，2022，17（5）：e266132.
[18] Tantengco O A G. Investigating the evolution of COVID-19 research trends and collaborations in Southeast Asia：A bibliometric analysis[J]. Diabetes & Metabolic Syndrome：Clinical Research & Reviews，2021，15（6）：102325.
[19] Mahendra K S，G K C，Sibo P P. Research Trends on Coronavirus （Covid-19）：A Bibliomatric Analysis between 2010-March，2020[J]. Library Philosophy and Practice，2020：1—15.
[20] Dornick C，Kumar A，Seidenberger S，et al. Analysis of Patterns and Trends in COVID-19 Research[J]. Procedia Computer Science，2021，185：302—310.
[21] 臧兵，何小菁，鲁翔.新冠肺炎疫情谣言传播治理研究综述[J].南京医科大学学报（社会科学版），2022，22（2）：151—157.
[22] 刘云霄.对新冠疫情网络舆情研究进展的思考[J].网络安全技术与应用，2022（2）：170—172.
[23] 高继平，丁堃，潘云涛，等.多词共现分析方法的实现及其在研究热点识别中的应用[J].图书情报工作，2014，58（24）：80—85.
[24] Li H O，Bailey A，Huynh D，et al. YouTube as a source of information on COVID-19：a pandemic of misinformation?[J]. Bmj Global Health，2020（5）：
e002604.
[25] Sharov K S. Adaptation to SARS-CoV-2 under stress：Role of distorted information[J]. European Journal Of Clinical Investigation，2020，50（9）：e13294.
[26] Garcia-Marin D. Global infodemic：Information disorders，false narratives，and fact checking during the Covid-19 crisis[J]. Professional De La Information，2020，29（4）：e290411.
[27] Andreu-Sanchez C，Martin-Pascual M. Fake images of the SARS-CoV-2 coronavirus in the communication of information at the beginning of the first Covid-19 pandemic[J]. Professional De La Information，2020，29（3）：e290309.
[28] Borah P，Austin E，Su Y. Injecting Disinfectants to Kill the Virus：Media Literacy，Information Gathering Sources，and the Moderating Role of Political Ideology on Misperceptions about COVID-19[J]. Mass Communication And Society，2022：1—27.
[29] Filkukova P，Ayton P，Rand K，et al. What Should I Trust? Individual Differences in Attitudes to Conflicting Information and Misinformation on COVID-19[J]. Frontiers In Psychology，2021，12：588478.
[30] Costa Haraki C A. COVID-19 infodemic management strategies in South America[J]. Revista Panamericana De Salud Publica-Pan American Journal Of Public Health，2021，45：e43.
[31] Li Y，Chandra Y，Kapucu N. Crisis Coordination and the Role of Social Media in Response to COVID-19 in Wuhan，China[J]. American Review Of Public Administration，2020，50（6 / 7）：698—705.
[32] Elhadad M K，Li K F，Gebali F. Detecting Misleading Information on COVID-19[J]. IEEE ACCESS，2020，8：165201—165215.
[33] Choudrie J，Banerjee S，Kotecha K，et al. Machine learning techniques and older adults processing of online information and misinformation：A covid-19
study[J]. Computers in Human Behavior，2021，119：106716.
[34] Shehata A. Health Information behaviour during COVID-19 outbreak among Egyptian library and information science undergraduate students[J]. Information Development，（0266666920976181）.
[35] Igbinovia M O，Okuonghae O，Adebayo J O. Information literacy competence in curtailing fake news about the COVID-19 pandemic among undergraduates in Nigeria[J]. Reference Services Review，2021，49（1）：3—18.
[36] Li S，Feng B，Liao W，et al. Internet Use，Risk Awareness，and Demographic Characteristics Associated With Engagement in Preventive Behaviors and Testing：Cross-Sectional Survey on COVID-19 in the United States[J]. Journal of Medical Internet Research，2020，22（6）：e19782.
[37] El Skarpa P，Garoufallou E. Information seeking behavior and COVID-19 pandemic：A snapshot of young，middle aged and senior individuals in Greece[J]. International Journal of Medical Informatics，2021，150：104465.
[38] Buonomo B，Della Marca R. Effects of information-induced behavioural changes during the COVID-19 lockdowns：the case of Italy[J]. Royal Society Open Science，2020，7（10）：201635.
[39] Liu P L. COVID-19 Information Seeking on Digital Media and Preventive Behaviors：The Mediation Role of Worry[J]. Cyberpsychology Behavior and Social Networking，2020，23（10）：677—682.
[40] Zimmerman M S. Health information-seeking behavior in the time of COVID-19：information horizons methodology to decipher source path during a global pandemic[J]. Journal of Documentation，2021，77（6）：1248—1264.
[41] Lep Z，Babnik K，Hacin Beyazoglu K. Emotional Responses and Self-Protective Behavior Within Days of the COVID-19 Outbreak：The Promoting Role of Information Credibility[J]. Frontiers in Psychology，2020，11：1846.
[42] Figueiras M J，Ghorayeb J，Coutinho M V C，et al. Levels of Trust in Information Sources as a Predictor of Protective Health Behaviors During COVID-19 Pandemic：A UAE Cross-Sectional Study[J]. Frontiers in Psychology，2021，12：633550.
[43] Falcone R，Sapienza A. How COVID-19 Changed the Information Needs of Italian Citizens[J]. International Journal of Environmental Research and Public Health，2020，17（19）：6988.
[44] Jafar A，Mapa M T，Sakke N，et al. Vaccine hesitancy in East Malaysia （Sabah）：A survey of the national COVID-19 immunisation programme[J]. Geospatial Health，2022，17（sl）：1037.
[45] Yoneoka D，Eguchi A，Nomura S，et al. Identification of optimum combinations of media channels for approaching COVID-19 vaccine unsure and unwilling groups in Japan[J]. Lancet Regional Health-Western Pacific，2022，18：100330.
[46] Bhagianadh D，Arora K. COVID-19 Vaccine
Hesitancy Among Community-Dwelling Older Adults：The Role of Information Sources[J]. Journal of Applied Gerontology，2022，41（1）：4—11.
[47] De Giorgio A，Kuvacic G，Males D，et al. Willingness to Receive COVID-19 Booster Vaccine：Associations between Green-Pass，Social Media Information，Anti-Vax Beliefs，and Emotional Balance[J]. Vaccines，2022，10（3）：481.
[48] Karabela S N，Coskun F，Hosgor H. Investigation of the relationships between perceived causes of COVID-19，attitudes towards vaccine and level of trust in information sources from the perspective of Infodemic：the case of Turkey[J]. Bmc Public Health，2021，21：11951.
[49] Liao Q Y，Cowling B J，Xiao J Y，et al. Priming with social benefit information of vaccination to increase acceptance of COVID-19 vaccines[J]. Vaccine，2022，40（8）：1074—1081.
[50] Zhao S，Wu X. From Information Exposure to Protective Behaviors：Investigating the Underlying Mechanism in COVID-19 Outbreak Using Social Amplification Theory and Extended Parallel Process Model[J]. Frontiers in Psychology，2021，12：631116.
[51] Luo Y，Yao L，Zhou L，et al. Factors influencing health behaviours during the coronavirus disease 2019 outbreak in China：an extended information-motivation-behaviour skills model[J]. Public Health，2020，185：298—305.
[52] Chen W，Zhang W，Li L. Precise Transmission for COVID-19 Information：Based on China's Experience[J]. International Journal of Environmental Research and Public Health，2021，18（6）：3015.
[53] Shafiq M，Elharake J A，Malik A A，et al. COVID-19 Sources of Information，Knowledge，and Preventive Behaviors Among the US Adult Population[J]. Journal of Public Health Management and Practice，2021，27（3）：278—284.
[54] Ouyang H，Ma X H，Wu X. The prevalence and determinants of COVID-19 vaccine hesitancy in the age of infodemic[J]. Human Vaccines & Immunotherapeutics，2022，18（1）：2013694.
[55] Siebenhaar K U，Koether A K，Alpers G W. Dealing With the COVID-19 Infodemic：Distress by Information，Information Avoidance，and Compliance With Preventive Measures[J]. Frontiers in Psychology，2020，11：567905.
[56] Qu Y，Saffer A J，Austin L. What Drives People Away from COVID-19 Information?：Uncovering the Influences of Personal Networks on Information Avoidance[J]. Health Communication，2023，38（2）：216—227.
[57] Li X，Yu H，Yang W，et al. Depression and Anxiety Among Quarantined People，Community Workers，Medical Staff，and General Population in the Early Stage of COVID-19 Epidemic[J]. Frontiers in Psychology，2021，12：638985.
[58] Wang Q，Luo X，Tu R L，et al. COVID-19 Information Overload and Cyber Aggression during the Pandemic Lockdown：The Mediating Role of Depression/Anxiety and the Moderating Role of Confucian Responsibility Thinking[J]. International Journal of Environmental Research and Public Health，2022，19（3）：1540.
[59] Wang Q，Xie L Y，Song B，et al. Effects of Social Media Use for Health Information on COVID-19-Related Risk Perceptions and Mental Health During Pregnancy：Web-Based Survey[J]. Jmir Medical Informatics，2022，10（1）：e28183.
[60] Beaudoin C E，Hong T. Emotions in the time of coronavirus：Antecedents of digital and social media use among Millennials[J]. Computers in Human Behavior，2021，123：106876.
[61] Su J，Chen X，Yang N，et al. Proximity to people with COVID-19 and anxiety among community residents during the epidemic in Guangzhou，China[J]. Bjpsych Open，2020，6（4）：e75.
[62] Meng N，Liu Z，Wang Y，et al. Beyond Sociodemographic and COVID-19-Related Factors：The Association Between the Need for Psychological and Information Support from School and Anxiety and Depression[J]. Medical Science Monitor，2021，27：e929280.
[63] Zou C，Zhang W，Sznajder K，et al. Factors Influencing Anxiety Among WeChat Users During the Early Stages of the COVID-19 Pandemic in Mainland China：Cross-sectional Survey Study[J]. Journal of Medical Internet Research，2021，23（5）：e24412.
[64] Wong F H C，Liu T，Leung D K Y，et al. Consuming Information Related to COVID-19 on Social Media Among Older Adults and Its Association With Anxiety，Social Trust in Information，and COVID-Safe Behaviors：Cross-sectional Telephone Survey[J]. Journal of Medical Internet Research，2021，23（2）：e26570.
[65] Galletta M，Oliveira A，Albertini J，et al. Postpartum depressive symptoms of Brazilian women during the COVID-19 pandemic measured by the Edinburgh Postnatal Depression Scale[J]. Journal of Affective Disorders，2022，296：577—586.
[66] De Coninck D，Frissen T，Matthijs K，et al. Beliefs in Conspiracy Theories and Misinformation About COVID-19：Comparative Perspectives on the Role of Anxiety，Depression and Exposure to and Trust in Information Sources[J]. Frontiers in Psychology，2021，12：646394.
[67] Alamsyah N，Zhu Y Q. We shall endure：Exploring the impact of government information quality and partisanship on citizens’ well-being during the COVID-19 pandemic[J]. Government Information Quarterly，2022，39（1）：101646.
[68] Gomez-Salgado J，Palomino-Baldeon J C，Ortega-Moreno M，et al. COVID-19 information received by the Peruvian population，during the first phase of the pandemic，and its association with developing psychological distress：Information about COVID-19 and distress in Peru[J]. Medicine，2022，101（5）：e28625.
[69] Yu S，Chen H，Liu A，et al. Toward COVID-19 Information：Infodemic or Fear of Missing Out?[J]. Healthcare，2020，8（4）：550.
[70] Rajan A，Sharaf R，Brown R S，et al. Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States：Infodemiology Study[J]. Jmir Public Health and Surveillance，2020，6（3）：250—255.
[71] Hisada S，Murayama T，Tsubouchi K，et al. Surveillance of early stage COVID-19 clusters using search query logs and mobile device-based location information[J]. Scientific Reports，2020，10（1）：18680.
[72] Chrzanowski J，Solek J，Fendler W，et al. Assessing Public Interest Based on Wikipedia’s Most Visited Medical Articles During the SARS-CoV-2 Outbreak：Search Trends Analysis[J]. Journal of Medical Internet Research，2021，23（4）：e26331.
[73] Lee J，Kwan Y，Lee J Y，et al. Public Interest in Immunity and the Justification for Intervention in the Early Stages of the COVID-19 Pandemic：Analysis of Google Trends Data[J]. Journal of Medical Internet Research，2021，23（6）：e26368.
[74] Vijay V，Field C R，Gollnow F，et al. Using internet search data to understand information seeking behavior for health and conservation topics during the COVID-19 pandemic[J]. Biological Conservation，2021，257：109078.
[75] Niu B，Liang R，Zhang S，et al. Epidemic analysis of COVID-19 in Italy based on spatiotemporal geographic information and Google Trends[J]. Transboundary and Emerging Diseases，2021，68（4）：
2384—2400.
[76] Huang H，Peng Z，Wu H，et al. A big data analysis on the five dimensions of emergency management information in the early stage of COVID-19 in China[J]. Journal of Chinese Governance，2020，5（2）：
213—233.
[77] He Q，Xiao H，Li H，et al. Practice in Information Technology Support for Fangcang Shelter Hospital during COVID-19 Epidemic in Wuhan，China[J]. Journal of Medical Systems，2021，45（4）：42.
[78] Hsu S，Cheng T，Chang P，et al. Tracking Hospital Visitors/Chaperones during the COVID-19 Pandemic[J]. Applied Clinical Informatics，2021，12（2）：266—273.
[79] Voelkel G，Fuerstberger A，Schwab J D，et al. Patient Empowerment During the COVID-19 Pandemic by Ensuring Safe and Fast Communication of Test Results：Implementation and Performance of a Tracking System[J]. Journal of Medical Internet Research，2021，23（6）：e27348.
[80] Urbaczewski A，Lee Y J. Information Technology and the pandemic：a preliminary multinational analysis of the impact of mobile tracking technology on the COVID-19 contagion control[J]. European Journal of Information Systems，2020，29（4）：405—414.
[81] Ahn N Y，Park J E，Lee D H，et al. Balancing Personal Privacy and Public Safety During COVID-19：The Case of South Korea[J]. IEEE Access，2020，8：171325—171333.
[82] Kim J，Kwan M. An Examination of People’s Privacy Concerns，Perceptions of Social Benefits，and Acceptance of COVID-19 Mitigation Measures That Harness Location Information：A Comparative Study of the US and South Korea[J]. Isprs International Journal of Geo-Information，2021，10（1）：25.
[83] Su Z S，Zou Q L，Wu X Y，et al. Participant and Strategy Selection of Health QR Code Product Experience Design during the COVID-19 Pandemic in China：The Information Security Perspective[J]. Discrete Dynamics in Nature and Society，2021：4097225.
[84] Bradshaw E L，Ryan R M，Noetel M，et al. Information Safety Assurances Increase Intentions to Use COVID-19 Contact Tracing Applications，Regardless of Autonomy-Supportive or Controlling Message Framing[J]. Frontiers in Psychology，2021，11：591638.
[85] Lenert L，McSwain B Y. Balancing health privacy，health information exchange，and research in the context of the COVID-19 pandemic[J]. Journal of the American Medical Informatics Association，2020，27（6）：963—966.
[86] Robinson K. A false promise of COVID-19 “big” health data? Health data integrity and the ethics and realities of Australia’s health information management practice[J]. Health Information Management Journal，2021，50（1 / 2）：9—12.

[87] Dagher S H，Lame G，Hubiche T，et al. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms：Infodemiology Study[J]. Jmir Public Health and Surveillance，2021，7（2）：e25651.

[88] Luo H，Liu J，Li C，et al. Ultra-rapid delivery of specialty field hospitals to combat COVID-19：Lessons learned from the Leishenshan Hospital project in Wuhan[J]. Automation in Construction，2020，119：103345.
[89] Zhang L，Chen K，Jiang H，et al. How the Health Rumor Misleads People’s Perception in a Public Health Emergency：Lessons from a Purchase Craze during the COVID-19 Outbreak in China[J]. International Journal of Environmental Research and Public Health，2020，17（19）：7213.