AIMC Topic: Disaster Planning

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Editorial: Artificial intelligence solutions for global health and disaster response: challenges and opportunities.

Frontiers in public health Aug 22, 2024
Humans Disaster Planning Disasters Artificial Intelligence Global Health
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Tailoring Household Disaster Preparedness Interventions to Reduce Health Disparities: Nursing Implications from Machine Learning Importance Features from the 2018-2020 FEMA National Household Survey.

International journal of environmental research and public health Apr 23, 2024
Tailored disaster preparedness interventions may be more effective and equitable, yet little is known about specific factors associated with disaster household preparedness for older adults and/or those with African American/Black identities. This st...
United States Family Characteristics Black or African American Middle Aged Surveys and Questionnaires Humans Machine Learning Adolescent Adult Health Status Disparities Female Aged Male Disaster Planning Young Adult Civil Defense
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Potential of artificial intelligence in public health disaster and emergency management.

Public health Apr 20, 2024
Humans Artificial Intelligence Public Health Disaster Planning
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Global prediction of extreme floods in ungauged watersheds.

Nature Mar 20, 2024
Floods are one of the most common natural disasters, with a disproportionate impact in developing countries that often lack dense streamflow gauge networks. Accurate and timely warnings are critical for mitigating flood risks, but hydrological simula...
Artificial Intelligence Forecasting Computer Simulation Reproducibility of Results Disaster Planning Floods Hydrology Time Factors Rivers Calibration
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Perspectives on Preparedness for Chemical, Biological, Radiological, and Nuclear Threats in the Middle East and North Africa Region: Application of Artificial Intelligence Techniques.

Health security Feb 9, 2024
Over the past 3 decades, the diversity of ethnic, religious, and political backgrounds worldwide, particularly in countries of the Middle East and North Africa (MENA), has led to an increase in the number of intercountry conflicts and terrorist attac...
Data Mining Disaster Planning Middle East Humans Artificial Intelligence Machine Learning Africa, Northern Terrorism Civil Defense
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Forest fire detection system using wireless sensor networks and machine learning.

Scientific reports Jan 7, 2022
Forest fires have become a major threat around the world, causing many negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are some of the consequences of such destruction. Interestingly, a higher perc...
Disaster Planning Wireless Technology Remote Sensing Technology Forests Wildfires Machine Learning Regression Analysis
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Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

ACS nano Nov 23, 2020
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics of infectious diseases. However, the high variability in cellphone image data acquisition and the common need for l...
Public Health Deep Learning Image Processing, Computer-Assisted CRISPR-Cas Systems Point-of-Care Testing Smartphone Metal Nanoparticles Neural Networks, Computer COVID-19 Reproducibility of Results Antigens, Viral Humans COVID-19 Testing Signal Processing, Computer-Assisted Disaster Planning Platinum Communicable Disease Control Telemedicine
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The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness.

The American journal of emergency medicine Nov 2, 2020
Disasters Humans Artificial Intelligence SARS-CoV-2 Pandemics Disaster Planning COVID-19
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Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.

PloS one Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Reagent Kits, Diagnostic SARS-CoV-2 COVID-19 Clinical Laboratory Techniques Disaster Planning Humans Global Health Algorithms Models, Theoretical Betacoronavirus Coronavirus Infections International Cooperation Machine Learning Forecasting Risk Assessment Support Vector Machine Pneumonia, Viral COVID-19 Testing Pandemics Decision Trees Classification
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Artificial Intelligence for Natural Hazards Risk Analysis: Potential, Challenges, and Research Needs.

Risk analysis : an official publication of the Society for Risk Analysis May 19, 2020
Artificial intelligence (AI) methods have seen increasingly widespread use in everything from consumer products and driverless cars to fraud detection and weather forecasting. The use of AI has transformed many of these application domains. There are...
Disaster Planning Natural Disasters Humans Artificial Intelligence Risk Assessment Weather
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