AIMC Topic: Disease Outbreaks

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Predicting diarrhoea outbreaks with climate change.

PloS one Apr 19, 2022
BACKGROUND: Climate change is expected to exacerbate diarrhoea outbreaks across the developing world, most notably in Sub-Saharan countries such as South Africa. In South Africa, diseases related to diarrhoea outbreak is a leading cause of morbidity ...
Disease Outbreaks Diarrhea Climate Change Humans Neural Networks, Computer Machine Learning
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Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline.

JMIR public health and surveillance Mar 8, 2022
BACKGROUND: In Wisconsin, COVID-19 case interview forms contain free-text fields that need to be mined to identify potential outbreaks for targeted policy making. We developed an automated pipeline to ingest the free text into a pretrained neural lan...
Public Health Disease Outbreaks Natural Language Processing Contact Tracing Humans COVID-19 SARS-CoV-2
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control.

PloS one Dec 9, 2021
Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through mosquitoes. This study aims to detect water tanks installed on rooftops and swimming pools in ...
Mosquito Vectors Dengue Swimming Pools Seasons Aedes Mosquito Control Humans Animals Unmanned Aerial Devices Deep Learning Disease Outbreaks Socioeconomic Factors Remote Sensing Technology
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COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks.

Frontiers in public health Nov 30, 2021
The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furtherm...
Disease Outbreaks Humans Deep Learning COVID-19 Masks Algorithms
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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

PloS one Sep 15, 2021
BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.
Hemorrhagic Fever, Ebola Data Interpretation, Statistical Survival Analysis Datasets as Topic Humans Research Design Disease Outbreaks Machine Learning Computer Simulation Models, Statistical
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Deep learning of contagion dynamics on complex networks.

Nature communications Aug 5, 2021
Forecasting the evolution of contagion dynamics is still an open problem to which mechanistic models only offer a partial answer. To remain mathematically or computationally tractable, these models must rely on simplifying assumptions, thereby limiti...
SARS-CoV-2 Disease Outbreaks Deep Learning Models, Theoretical Spain Communicable Disease Control Humans COVID-19 Forecasting
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EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data.

Sensors (Basel, Switzerland) Jul 7, 2021
Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading more rapidly than ever and the risks of sporadic contamination are becoming higher than before. Disease warnings continue to rely on censored data, but t...
Humans Algorithms Communicable Diseases Disease Outbreaks Deep Learning Social Media Internet
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Swarm Learning for decentralized and confidential clinical machine learning.

Nature May 26, 2021
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an i...
Tuberculosis Datasets as Topic Leukemia Blockchain Leukocytes Confidentiality Lung Diseases Female Male Humans Disease Outbreaks Machine Learning Precision Medicine Clinical Decision-Making Software COVID-19
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A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.

Journal of medical Internet research May 20, 2021
BACKGROUND: More than 79.2 million confirmed COVID-19 cases and 1.7 million deaths were caused by SARS-CoV-2; the disease was named COVID-19 by the World Health Organization. Control of the COVID-19 epidemic has become a crucial issue around the glob...
COVID-19 Forecasting SARS-CoV-2 Artificial Intelligence Data Analysis Pandemics Disease Outbreaks Deep Learning Models, Statistical Humans Neural Networks, Computer
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

PloS one May 19, 2021
Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of disease outbreaks. Currently, healthcare-based disease monitoring systems in France offer influenza a...
Forecasting Electronic Health Records Disease Outbreaks Computer Systems Models, Statistical Public Health Surveillance Humans Machine Learning Epidemiological Monitoring Weather Information Storage and Retrieval Social Media France Internet Influenza, Human
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