Literature DB >> 32530817

Digital Media's Role in the COVID-19 Pandemic.

Huanyu Bao1, Bolin Cao2, Yuan Xiong1, Weiming Tang1.   

Abstract

The severe acute respiratory syndrome coronavirus 2 outbreak has had a significant impact on global health, the economy, and society as a whole. Various measures are being taken to respond to the pandemic, with digital media playing a pivotal role, especially in the use of visual data to disseminate information, mobile health to coordinate medical resources, social media to promote public health campaigns, and digital tools to assist population management and disease tracing. However, digital media also faces some challenges like misinformation, lack of guidance, and information leakage. We encourage the increased use of digital media with a focus on improving trust, building social solidarity, reducing chaos, educating the public on prevention measures, and reducing the medical burden in facility-based sites. ©Huanyu Bao, Bolin Cao, Yuan Xiong, Weiming Tang. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 18.09.2020.

Entities:  

Keywords:  COVID-19; digital health; dissemination; health information; media; mobile health; pandemic; public health; social media

Mesh:

Year:  2020        PMID: 32530817      PMCID: PMC7532458          DOI: 10.2196/20156

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


As of May 31, 2020, the coronavirus disease (COVID-19) outbreak has led to the death of 367,166 people [1]. The pandemic is causing severe damage to the health care system, the economy, and society as a whole. Plans and actions to prevent and respond to the pandemic are urgently needed. Of these, the digital media’s response, advocate, and mobilization plays an essential role. With the development of information and technology, digital media plays a pivotal role in this pandemic, especially in the use of visual data to disseminate information, mobile health (mHealth) to coordinate medical resources, and social media to promote public health campaigns. First, visual data is used increasingly to demonstrate the distribution, transmission, and trend of this coronavirus outbreak. The unprecedented pandemic has brought an enormous amount of real time data, and many online media platforms adopted visual graphs to release COVID-19 statistics, which were rarely used during the severe acute respiratory syndrome outbreak. Data visualization can help people easily and efficiently process a large volume of information on disease transmission to understand the patterns of epidemics [2]. An example of this is the interactive dashboard developed by Johns Hopkins University based on the crowdsourcing data [3]. This dashboard provides data-driven visuals (eg, global cases map, critical data trends, latest news, and COVID-19 basics) to illustrate the situations of pandemics around the world, enabling the public and researchers to understand and monitor the outbreak timely. Similarly, a popular messaging app (WeChat) in China offered a location-based feature, “Cases Nearby,” to show the location of the confirmed cases around the users and the places the cases have been without disclosing any personal information [4]. This visual footprint keeps users informed of the outbreak and advises them to take targeted measures to avoid high-risk areas. In addition, in the Prince of Wales Hospital of Hong Kong, an infographic on the principles of airway management was developed in 17 languages and disseminated through online social network platforms, benefiting other medical units to incorporate infection control procedures to reduce the transmission of COVID-19 [5]. Second, mHealth is surging in demand to reduce the overloading of health care systems. To avoid the high risk of contact with infected individuals, several virtual teleconsultation platforms (EmergencyEye in Germany, Vodacom in South Africa, and WeDoctor in China) were used to assist health care professionals. Facebook groups have been used by doctors to share and integrate experiences in disease treatment and research in real time, a subgroup called the PMG COVID19 has 36,900 members worldwide [6]. The pandemic has also driven research and the application of artificial intelligence (AI) in dealing with this emerging issue. By using lung computed tomography scans, AI technology was used to help doctors make a quick judgment of coronavirus pneumonia [7]. To help fight mental health disorders during the pandemic [8], an AI-based chatbot has also played important roles in responding to people’s emotions and providing online consultation. This trend was witnessed by the surge in users for some Indian chatbot software during the outbreak [9]. Third, social media platforms are applied to educate people to take public health measures. As one of the first countries hit by COVID-19, Singapore’s successful response has benefited from the early action taken by the country via social media. A national WhatsApp channel was immediately created to inform people living in Singapore about government updates and initiatives on COVID-19. There have been over 635,000 people subscribed to the channel to receive updated messages [10]. In China, the government has partnered with mobile phone operators to send automated text messages at various times throughout the day to keep people informed and alert them to keep a social distance. Additionally, in partnership with the health ministry, a Vietnamese music artist wrote a song, and a local dancer choreographed a dance on how to wash hands carefully and started a dance challenge on TikTok (a popular video-sharing app) [11]. The dance challenge video has gone viral and invited millions of people to learn about the essential steps of handwashing, playing a critical role in fighting against the spread of COVID-19. Fourth, digital tools are applied to assist the management of work resumption and citizen migration after the pandemic. In China, the digital health code, which displays a Quick Response (QR) code with an individual’s health status, is widely used to track citizen’s health status and estimate their potential risk in transmitting the virus. Individuals are assigned a color code—green, yellow, or red—that indicates their health status. The functions of digital health codes are two-fold: for ensuring anyone entering a public place is healthy and for contact tracing purposes. Although such digital tools have raised concerns about privacy, it helps to contain the outbreak of epidemics and mitigate the burden of public health surveillance, allowing society to return to normal. In addition, coronavirus tracking apps were also applied with the official government in other countries to a id contact tracing, such as Australia (COVIDSafe), Bahrain (BeAware Bahrain), Colombia (CoronApp), and Ghana (GH Covid-19 Tracker App). Although digital media has made considerable efforts in response to the pandemic, it is still facing some challenges. First, misinformation is a pressing problem. Rumors, fake news, and deliberate misinformation have been spreading on social media platforms, causing distrust and further endangering public health [12,13]. To respond to the infodemic caused by misinformation, some efforts have been made to correct the misinformation. Useful corrective actions such as more coherent information that provides alternative explanations to misleading information and appeals to credibility should be continuously, widely, and frequently distributed [14]. Second, there is a lack of formalized guidance to guide the use of digital media in large-scale epidemics. In particular, personal privacy and data leakage is an issue that needs to be addressed urgently. Zoom, the teleconferencing software that was heavily used in this outbreak, suffered several hacks [15], which raised concerns about the security of digital tools. Although the digital health code has been used in several countries, there is still a concern about privacy, and personal information leakage may cause geographical discrimination against people from high-risk areas. The COVID-19 pandemic is continuing to worsen, and more effective strategies are needed. Although digital media has played an important role, we strongly recommend that it should be further used to improve trust, build social solidarity, reduce chaos, educate the public for prevention measures, and reduce the medical burden in facility-based sites. Only by using multiple resources and working together globally, can we mitigate the effects of COVID-19, even if this comes at a cost.
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1.  Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention.

Authors:  Gordon Pennycook; Jonathon McPhetres; Yunhao Zhang; Jackson G Lu; David G Rand
Journal:  Psychol Sci       Date:  2020-06-30

2.  Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

Authors:  Joseph T Wu; Kathy Leung; Gabriel M Leung
Journal:  Lancet       Date:  2020-01-31       Impact factor: 79.321

3.  Building trust while influencing online COVID-19 content in the social media world.

Authors:  Rupali Jayant Limaye; Molly Sauer; Joseph Ali; Justin Bernstein; Brian Wahl; Anne Barnhill; Alain Labrique
Journal:  Lancet Digit Health       Date:  2020-04-21

4.  Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic.

Authors:  A K M Chan; C P Nickson; J W Rudolph; A Lee; G M Joynt
Journal:  Anaesthesia       Date:  2020-03-31       Impact factor: 6.955

5.  The many estimates of the COVID-19 case fatality rate.

Authors:  Dimple D Rajgor; Meng Har Lee; Sophia Archuleta; Natasha Bagdasarian; Swee Chye Quek
Journal:  Lancet Infect Dis       Date:  2020-03-27       Impact factor: 25.071

6.  Mental health problems and social media exposure during COVID-19 outbreak.

Authors:  Junling Gao; Pinpin Zheng; Yingnan Jia; Hao Chen; Yimeng Mao; Suhong Chen; Yi Wang; Hua Fu; Junming Dai
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

7.  Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Authors:  Lin Li; Lixin Qin; Zeguo Xu; Youbing Yin; Xin Wang; Bin Kong; Junjie Bai; Yi Lu; Zhenghan Fang; Qi Song; Kunlin Cao; Daliang Liu; Guisheng Wang; Qizhong Xu; Xisheng Fang; Shiqin Zhang; Juan Xia; Jun Xia
Journal:  Radiology       Date:  2020-03-19       Impact factor: 11.105

  7 in total
  12 in total

1.  Misinformation in Italian Online Mental Health Communities During the COVID-19 Pandemic: Protocol for a Content Analysis Study.

Authors:  Nicole Bizzotto; Susanna Morlino; Peter Johannes Schulz
Journal:  JMIR Res Protoc       Date:  2022-05-20

2.  Parents' willingness and attitudes concerning the COVID-19 vaccine: A cross-sectional study.

Authors:  Meltem Yılmaz; Mustafa Kursat Sahin
Journal:  Int J Clin Pract       Date:  2021-05-29       Impact factor: 3.149

3.  Extended theory of planned behavior in explaining the intention to COVID-19 vaccination uptake among mainland Chinese university students: an online survey study.

Authors:  Chia-Wei Fan; I-Hua Chen; Nai-Ying Ko; Cheng-Fang Yen; Chung-Ying Lin; Mark D Griffiths; Amir H Pakpour
Journal:  Hum Vaccin Immunother       Date:  2021-06-25       Impact factor: 4.526

4.  Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis.

Authors:  Xuefei He; Cheng Peng; Yingxin Xu; Ye Zhang; Zhongqing Wang
Journal:  JMIR Med Inform       Date:  2022-04-21

5.  The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine.

Authors:  Eqbal Radwan; Afnan Radwan; Walaa Radwan
Journal:  Heliyon       Date:  2020-12-21

6.  Electronic pre-anaesthetic checkups (E-PAC) and digital informed consent before elective procedures: Is it time to break the cliche?

Authors:  Pallavi Ahluwalia; Bhavna Gupta
Journal:  Indian J Anaesth       Date:  2021-12-22

7.  Types of Racism and Twitter Users' Responses Amid the COVID-19 Outbreak: Content Analysis.

Authors:  Amanda Lloret-Pineda; Yuelu He; Josep Maria Haro; Paula Cristóbal-Narváez
Journal:  JMIR Form Res       Date:  2022-05-19

8.  COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study.

Authors:  Wenqiang Yin; Hongwei Guo; Zina Fan; Han Zhang; Dandan Wang; Chengxin Fan; Zhongming Chen; Jinwei Hu; Dongping Ma
Journal:  J Med Internet Res       Date:  2021-07-16       Impact factor: 5.428

9.  Digital Health Technologies Respond to the COVID-19 Pandemic In a Tertiary Hospital in China: Development and Usability Study.

Authors:  Wanmin Lian; Li Wen; Qiru Zhou; Weijie Zhu; Wenzhou Duan; Xiongzhi Xiao; Florence Mhungu; Wenchen Huang; Chongchong Li; Weibin Cheng; Junzhang Tian
Journal:  J Med Internet Res       Date:  2020-11-24       Impact factor: 5.428

10.  Associations of Mental Health and Personal Preventive Measure Compliance With Exposure to COVID-19 Information During Work Resumption Following the COVID-19 Outbreak in China: Cross-Sectional Survey Study.

Authors:  Yihang Pan; Meiqi Xin; Changhua Zhang; Zixin Wang; Jinqiu Yuan; Yulong He; Willa Dong; Yuan Fang; Wenhui Wu; Mingzhe Li; Jun Pang; Zilong Zheng
Journal:  J Med Internet Res       Date:  2020-10-08       Impact factor: 5.428

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