BotCovid: Development and Evaluation of a Chatbot to Combat Misinformation about COVID-19 in Brazil

Roque, Geicianfran da Silva Lima; Cavalcanti, Andréia Roque de Souza; Nascimento, José William Araújo do; Souza, Rafael Borim de; Queiroz, Sergio

doi:10.1109/smc52423.2021.9658693

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…Researchers have established several ways to mitigate harm-causing rumors, such as those experienced in Kenya. One strategy that has shown promising preliminary results is the use of e-health, including chatbots and mobile apps, to answer questions related to the COVID-19 vaccine [ 36 , 37 , 38 , 39 , 40 , 41 ]. This e-health approach offers a potential means of disseminating accurate health information virtually during a time when in-person interactions pose a substantial risk.…”

Section: Discussionmentioning

confidence: 99%

Conceptualizing the COVID-19 Pandemic: Perspectives of Pregnant and Lactating Women, Male Community Members, and Health Workers in Kenya

Paul

Lee

Fesshaye

et al. 2022

IJERPH

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Pregnant women are at greater risk of adverse outcomes from SARS-CoV-2 infection. There are several factors which can influence the ways in which pregnant women perceive COVID-19 disease and behaviorally respond to the pandemic. This study seeks to understand how three key audiences—pregnant and lactating women (PLW), male community members, and health workers—in Kenya conceptualize COVID-19 to better understand determinants of COVID-19 related behaviors. This study used qualitative methods to conduct 84 in-depth interviews in three counties in Kenya. Data were analyzed using a grounded theory approach. Emerging themes were organized based on common behavioral constructs thought to influence COVID-19 related behaviors and included myths, risk perception, economic implications, stigma, and self-efficacy. Results suggest that risk perception and behavioral attitudes substantially influence the experiences of PLW, male community members, and health workers in Kenya during the COVID-19 pandemic. Public health prevention and communication responses targeting these groups should address potential barriers to preventive health behaviors, such as the spread of misinformation, financial constraints, and fear of social ostracization.

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Section: Discussionmentioning

confidence: 99%

Conceptualizing the COVID-19 Pandemic: Perspectives of Pregnant and Lactating Women, Male Community Members, and Health Workers in Kenya

Paul

Lee

Fesshaye

et al. 2022

IJERPH

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“…Additionally, big data and other DHTs, such as check-in kiosks, emails, online patient portals, self-management home monitoring devices, and chatbots, were also noted. eHealth: telehealth, telemedecine, e-prescription, e-referral, e-Mental health, telepsychiatry, clinic-based telehealth, telehealth visits (18)(19)(20)(21)(22)(23)(24)(25)27,49,52,55) Devices: wearables, wearable health devices, portable electrocardiograms, telemedical stethoscopes, telemedical ECGs, remote monitoring devices, laboratory-on-a-chip' devices (26,27,37,(48)(49)(50)(51)(52)(53)60) Digital tracing (28,29) Testing, self-testing (self-screening) (30,31) Websites, Platforms, Trials Platform (25,(32)(33)(34)(35)(36) Monitoring Internet of Things (IoT) (39,55) Artificial intelligence (AI) (26,37,(48)(49)(50)(51)(52)(53)60) Big data (39,55) G...…”

Section: Thematic Synthesis To Respond To Study Questionsmentioning

confidence: 99%

A Systematic Scoping Review of Digital Health Technologies During COVID-19: A New Normal in Primary Health Care Delivery

Ndayishimiye

Lopes²,

Middleton

2022

Preprint

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This scoping review compiled information concerning digital health technologies (DHTs) evolvement to support the primary health care (PHC) sector during COVID-19 and lessons for the future PHC. The identified literature has been published during the COVID-19 peak years (2019–2021), retrieved from PubMed, Scopus, and Google Scholar, as well as hand searched on the internet. Predefined inclusion criteria were used; thematic analysis was applied; and reporting followed the PRISMA for Scoping Reviews.A total of 46 studies were included in the final synthesis: 40 articles; one book; two book chapters; one working paper; and two technical reports. These studies scrutinized various aspects of DHTs, entailing 19 types of DHTs with 20 areas of use that can be compressed into five bigger PHC functions: general PHC service delivery (teleconsultations, e-diagnosis, e-prescription, etc.); behaviour promotion and digital health literacy (e.g., combating vaccine hesitancy); surveillance functions; vaccination and drugs; and enhancing system decision-making for proper follow-up of ongoing PHC interventions during COVID-19.DHTs have the potential to solve some of the problems that plagued us even prior to COVID-19. Therefore, this study uses a forward-looking viewpoint to further stimulate the use of evidence based DHT, making it more inclusive, educative, and satisfying to people's needs, both under normal conditions and during outbreaks. More research with narrowed research questions is required, with a particular emphasis on quality assurance in the use of DHTs; technical aspects (standards for digital health tools, infrastructure, and platforms); and financial perspectives (payment for digital health services and adoption incentives).

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“…The chatbot includes a campus map and several alerts, can reply to both Arabic and English queries, and covers a wide variety of academic topics. In Brazil, Roque, Cavalcanti [10] created a chatbot called BotCovid, which provides accurate information about COVID-19 and can answer not less than 600 questions. The University of California, San Francisco, created and deployed a digital chatbot to screen health care workers for COVID-19 [36].…”

Section: Related Workmentioning

confidence: 99%

“…Artificial intelligence (AI) approaches can aid in the dissemination of critical information worldwide, as well as reduce incorrect information concerning COVID-19 [7,8]. AI-powered chatbot systems are the latest technology innovations used to combat the COVID-19 pandemic [9,10]. Chatbots are intelligent conversational agents interacting with users to respond to their questions [11].…”

Section: Introductionmentioning

confidence: 99%

COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development

Okonkwo¹,

Amusa²,

Twinomurinzi³

2022

JMIR Form Res

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Background Coronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use an artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19. Objective This paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status. Methods The design and development of COVID-Bot followed the principles of the design science research (DSR) process, which is a research method for creating a new scientific artifact. COVID-Bot was developed and implemented using the SnatchBot chatbot application programming interface (API) and its predefined tools, which are driven by various natural language processing algorithms. Results An evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was .87, indicating satisfactory reliability. Conclusions This study demonstrates that incorporating chatbot technology into the educational system can combat the spread of COVID-19 among university students. The intelligent system does this by interacting with students to determine their vaccination status.

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BotCovid: Development and Evaluation of a Chatbot to Combat Misinformation about COVID-19 in Brazil

Cited by 10 publications

References 15 publications

Conceptualizing the COVID-19 Pandemic: Perspectives of Pregnant and Lactating Women, Male Community Members, and Health Workers in Kenya

Conceptualizing the COVID-19 Pandemic: Perspectives of Pregnant and Lactating Women, Male Community Members, and Health Workers in Kenya

A Systematic Scoping Review of Digital Health Technologies During COVID-19: A New Normal in Primary Health Care Delivery

COVID-Bot, an Intelligent System for COVID-19 Vaccination Screening: Design and Development

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