AIMC Topic: Disease Outbreaks

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Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Emerging infectious diseases Feb 1, 2025
Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed. Open-source intelligence (OSINT)-based syndromic surveillance can overcome limitations of delayed surveillance and poor case ascertainment, providin...
Global Health Disease Outbreaks Humans Artificial Intelligence Population Surveillance Epidemiological Monitoring
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Cholera Outbreak in Nigeria: History, Review of Socioeconomic and Meteorological Drivers, Diagnostic Challenges, and Artificial Intelligence Integration.

Global health, epidemiology and genomics Jan 1, 2025
Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic disparities, poor sanitation, and environmental factors such as recurrent flooding. This narrative review examines cholera outbreaks in Nigeria, explo...
Cholera Public Health Disease Outbreaks Nigeria Socioeconomic Factors Humans Artificial Intelligence
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An exploration of current and future vector-borne disease threats and opportunities for change.

Frontiers in public health Jan 1, 2025
Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the world's population, particularly in tropical and subtropical regions. Environmental, ecological, climatic, and socio-economic factors are expected to driv...
Animals Dengue Disease Outbreaks Disease Vectors India Brazil Vector Borne Diseases Humans
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Integrating Contact Tracing Data to Enhance Outbreak Phylodynamic Inference: A Deep Learning Approach.

Molecular biology and evolution Nov 1, 2024
Phylodynamics is central to understanding infectious disease dynamics through the integration of genomic and epidemiological data. Despite advancements, including the application of deep learning to overcome computational limitations, significant cha...
Hong Kong Contact Tracing Phylogeny Deep Learning Humans COVID-19 SARS-CoV-2 Disease Outbreaks
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Automated cooling tower detection through deep learning for Legionnaires' disease outbreak investigations: a model development and validation study.

The Lancet. Digital health Jul 1, 2024
BACKGROUND: Cooling towers containing Legionella spp are a high-risk source of Legionnaires' disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be pr...
Disease Outbreaks Deep Learning New York Humans Philadelphia Air Conditioning Satellite Imagery Legionella Legionnaires' Disease
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Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases.

Mathematical biosciences and engineering : MBE Jun 3, 2024
COVID-19 is caused by the SARS-CoV-2 virus, which has produced variants and increasing concerns about a potential resurgence since the pandemic outbreak in 2019. Predicting infectious disease outbreaks is crucial for effective prevention and control....
Support Vector Machine Machine Learning Pandemics Humans SARS-CoV-2 Disease Outbreaks COVID-19 Algorithms
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From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks.

Journal of travel medicine Jun 3, 2024
Disease Outbreaks Artificial Intelligence Communicable Diseases Humans
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Predicting malaria outbreaks using earth observation measurements and spatiotemporal deep learning modelling: a South Asian case study from 2000 to 2017.

The Lancet. Planetary health Apr 1, 2024
BACKGROUND: Malaria remains one the leading communicable causes of death. Approximately half of the world's population is considered at risk of infection, predominantly in African and South Asian countries. Although malaria is preventable, heterogene...
Malaria Temperature Disease Outbreaks Deep Learning Incidence Humans
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AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Health informatics journal Jan 1, 2024
Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) can identify patterns in data that signal the onset of epidemics and pandemics. This scoping review examines the effectiveness of AI in epidemic and pan...
Humans Artificial Intelligence Machine Learning Epidemics Pandemics Disease Outbreaks
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Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts.

Cell reports. Medicine Dec 20, 2022
Emerging infections are a continual threat to public health security, which can be improved by use of rapid epidemic intelligence and open-source data. Artificial intelligence systems to enable earlier detection and rapid response by governments and ...
Disease Outbreaks Artificial Intelligence Pandemics
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