ArticleScientific reports2022
A machine learning application for raising WASH awareness in the times of COVID-19 pandemic.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- General Characteristics and Design Taxonomy of Chatbots for COVID-19: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification.Current heart failure reports · 2026Review
- The Use of Machine Translation for Outreach and Health Communication in Epidemiology and Public Health: Scoping Review.JMIR public health and surveillance · 2023Article
- A scoping review of digital health interventions for combating COVID-19 misinformation and disinformation.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Global Health Informatics: the state of research and lessons learned.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- The Epidemiology of Infectious Diseases Meets AI: A Match Made in Heaven.Pathogens (Basel, Switzerland) · 2023Article
- Detecting COVID-19 vaccine hesitancy in India: a multimodal transformer based approach.Journal of intelligent information systems · 2023Article
- Application of Machine Learning Techniques to Help in the Feature Selection Related to Hospital Readmissions of Suicidal Behavior.International journal of mental health and addiction · 2022Article
- Machine learning applications for COVID-19 outbreak management.Neural computing & applications · 2022Review
- Individual Factors Associated With COVID-19 Infection: A Machine Learning Study.Frontiers in public health · 2022Article
- The Vaccination Process against the COVID-19: Opportunities, Problems andHealthcare (Basel, Switzerland) · 2021Article
- Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter.IEEE transactions on computational social systems · 2021Article
- CoVerifi: A COVID-19 news verification system.Online social networks and media · 2021Article
- IoMT amid COVID-19 pandemic: Application, architecture, technology, and security.Journal of network and computer applications (Online) · 2021Review
- A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19.BioMed research international · 2021Review
- COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis.Frontiers in digital health · 2021Review
- A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches.PeerJ. Computer science · 2021Article
- Overview of current state of research on the application of artificial intelligence techniques for COVID-19.PeerJ. Computer science · 2021Article
- Applications of artificial intelligence in battling against covid-19: A literature review.Chaos, solitons, and fractals · 2021Review
- Artificial Intelligence in the Fight Against COVID-19: Scoping Review.Journal of medical Internet research · 2020Article
Corrections and comments
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Authors and funding
20 authors at 4 institutions in 1 country.
Funding
Abstract
The COVID-19 pandemic has revealed the power of internet disinformation in influencing global health. The deluge of information travels faster than the epidemic itself and is a threat to the health of millions across the globe. Health apps need to leverage machine learning for delivering the right information while constantly learning misinformation trends and deliver these effectively in vernacular languages in order to combat the infodemic at the grassroot levels in the general public. Our application, WashKaro, is a multi-pronged intervention that uses conversational Artificial Intelligence (AI), machine translation, and natural language processing to combat misinformation (NLP). WashKaro uses AI to provide accurate information matched against WHO recommendations and delivered in an understandable format in local languages. The primary aim of this study was to assess the use of neural models for text summarization and machine learning for delivering WHO matched COVID-19 information to mitigate the misinfodemic. The secondary aim of this study was to develop a symptom assessment tool and segmentation insights for improving the delivery of information. A total of 5026 people downloaded the app during the study window; among those, 1545 were actively engaged users. Our study shows that 3.4 times more females engaged with the App in Hindi as compared to males, the relevance of AI-filtered news content doubled within 45 days of continuous machine learning, and the prudence of integrated AI chatbot "Satya" increased thus proving the usefulness of a mHealth platform to mitigate health misinformation. We conclude that a machine learning application delivering bite-sized vernacular audios and conversational AI is a practical approach to mitigate health misinformation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.