ArticleInternational journal of environmental research and public health2020
Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions.Computers in biology and medicine · 2022Pooled it
- Feasibility of AI-driven disease surveillance systems at international airports in sub-Saharan Africa: a narrative review.Frontiers in public health · 2026Review
- Use of Artificial Intelligence in Public Health Education for Pandemic Preparedness and Response.Annals of global health · 2026Review
- The Influence of Diet on Tinnitus Severity: Results of a Large-Scale, Online Survey.Nutrients · 2022Article
- Disparity in Occupational Health Risk During the Pandemic: Potential Misestimation and Its Implications for Health Policies.Journal of occupational and environmental medicine · 2022Article
- Respiratory pandemics, urban planning and design: A multidisciplinary rapid review of the literature.Cities (London, England) · 2022Article
- Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning.International journal of environmental research and public health · 2022Article
- Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook.The Science of the total environment · 2022Review
- Supervised learning of COVID-19 patients' characteristics to discover symptom patterns and improve patient outcome prediction.Informatics in medicine unlocked · 2022Article
- Sanitary Aspects of Countering the Spread of COVID-19 in Russia.International journal of environmental research and public health · 2021Article
- The application framework of big data technology in the COVID-19 epidemic emergency management in local government-a case study of Hainan Province, China.BMC public health · 2021Article
- Computing Techniques for Environmental Research and Public Health.International journal of environmental research and public health · 2021Article
- A Scoping Review of Pressure Measurements in Prosthetic Sockets of Transfemoral Amputees during Ambulation: Key Considerations for Sensor Design.Sensors (Basel, Switzerland) · 2021Article
- Opportunities and challenges of artificial intelligence in the medical field: current application, emerging problems, and problem-solving strategies.The Journal of international medical research · 2021Article
- Analysis of the scientific production of the effect of COVID-19 on the environment: A bibliometric study.Environmental research · 2021Article
- Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review.JMIR medical informatics · 2021Review
- Article
- Applications of artificial intelligence in battling against covid-19: A literature review.Chaos, solitons, and fractals · 2021Review
- Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing.Internet of things (Amsterdam, Netherlands) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunization, it is vital to have a thorough understanding of community spread phenomena as related research reports 17.9-30.8% confirmed cases to remain asymptomatic. Therefore, an effective assessment strategy is vital to maximize tested population in a short amount of time. This article proposes an Artificial Intelligence (AI)-driven mobilization strategy for mobile assessment agents for epidemics/pandemics. To this end, a self-organizing feature map (SOFM) is trained by using data acquired from past mobile crowdsensing (MCS) campaigns to model mobility patterns of individuals in multiple districts of a city so to maximize the assessed population with minimum agents in the shortest possible time. Through simulation results for a real street map on a mobile crowdsensing simulator and considering the worst case analysis, it is shown that on the 15th day following the first confirmed case in the city under the risk of community spread, AI-enabled mobilization of assessment centers can reduce the unassessed population size down to one fourth of the unassessed population under the case when assessment agents are randomly deployed over the entire city.
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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.