AIMC Topic: Disease Outbreaks

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Application of artificial neural networks to predict the COVID-19 outbreak.

Global health research and policy Nov 23, 2020
BACKGROUND: Millions of people have been infected worldwide in the COVID-19 pandemic. In this study, we aim to propose fourteen prediction models based on artificial neural networks (ANN) to predict the COVID-19 outbreak for policy makers.
COVID-19 SARS-CoV-2 Disease Outbreaks China Humans Neural Networks, Computer Pandemics Japan Iran Disease Transmission, Infectious United States Singapore Italy South Africa
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EventEpi-A natural language processing framework for event-based surveillance.

PLoS computational biology Nov 20, 2020
According to the World Health Organization (WHO), around 60% of all outbreaks are detected using informal sources. In many public health institutes, including the WHO and the Robert Koch Institute (RKI), dedicated groups of public health agents sift ...
Humans Algorithms Databases, Factual Disease Outbreaks Natural Language Processing Bayes Theorem
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Comparing machine learning with case-control models to identify confirmed dengue cases.

PLoS neglected tropical diseases Nov 10, 2020
In recent decades, the global incidence of dengue has increased. Affected countries have responded with more effective surveillance strategies to detect outbreaks early, monitor the trends, and implement prevention and control measures. We have appli...
Developing Countries Young Adult Epidemiological Monitoring Adult Dengue Humans Male Case-Control Studies Machine Learning Middle Aged Adolescent Public Health Female Models, Statistical Aged Disease Outbreaks
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The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets.

Journal of medical Internet research Nov 6, 2020
BACKGROUND: Family violence (including intimate partner violence/domestic violence, child abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates of family violence are rising fast, and women and children are disproportio...
Pandemics COVID-19 Female SARS-CoV-2 Male Coronavirus Infections Intimate Partner Violence Humans Betacoronavirus Pneumonia, Viral Domestic Violence Disease Outbreaks Sexual and Gender Minorities Social Media Unsupervised Machine Learning
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Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data.

Journal of medical Internet research Oct 2, 2020
BACKGROUND: In December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Lack of a vaccine or optimized intervention raised the importance of characterizing risk factors and symptoms for the early identification and s...
Pneumonia, Viral Fever Headache Coronavirus Infections Data Collection Oxygen Inhalation Therapy Myalgia Betacoronavirus Dyspnea Pandemics Fatigue Antiviral Agents COVID-19 SARS-CoV-2 Social Media Retrospective Studies Risk Factors Cough Humans Disease Outbreaks Publications Machine Learning Diarrhea
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Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia.

PLoS neglected tropical diseases Sep 24, 2020
The robust estimate and forecast capability of random forests (RF) has been widely recognized, however this ensemble machine learning method has not been widely used in mosquito-borne disease forecasting. In this study, two sets of RF models were dev...
Socioeconomic Factors Dengue Virus Weather Colombia Aedes Dengue Machine Learning Forecasting Humans Animals Neural Networks, Computer Disease Outbreaks
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Viral pandemic preparedness: A pluripotent stem cell-based machine-learning platform for simulating SARS-CoV-2 infection to enable drug discovery and repurposing.

Stem cells translational medicine Sep 22, 2020
Infection with the SARS-CoV-2 virus has rapidly become a global pandemic for which we were not prepared. Several clinical trials using previously approved drugs and drug combinations are urgently under way to improve the current situation. A vaccine ...
Humans Machine Learning Pandemics COVID-19 Drug Treatment Drug Industry Disease Outbreaks Genome, Viral Genotype Computer Simulation Pluripotent Stem Cells Drug Repositioning SARS-CoV-2 Alveolar Epithelial Cells Lung Drug Discovery
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Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.

Journal of medical Internet research Aug 17, 2020
BACKGROUND: The inherent difficulty of identifying and monitoring emerging outbreaks caused by novel pathogens can lead to their rapid spread; and if left unchecked, they may become major public health threats to the planet. The ongoing coronavirus d...
Mass Media Pneumonia, Viral Humans Machine Learning Data Analysis COVID-19 Internet China Pandemics Forecasting Models, Biological Models, Statistical Public Health Coronavirus Infections Disease Outbreaks
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Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study.

Journal of medical Internet research Aug 5, 2020
BACKGROUND: Changeful seasonal influenza activity in subtropical areas such as Taiwan causes problems in epidemic preparedness. The Taiwan Centers for Disease Control has maintained real-time national influenza surveillance systems since 2004. Except...
Forecasting Disease Outbreaks Humans Taiwan Machine Learning Influenza, Human
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Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.

Scientific reports Jul 22, 2020
Hand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is a major health problem in Beijing, China. Previous studies mainly used regressive models to forecast the prevalence of HFMD, ignoring its intrinsic age groups. Th...
Child, Preschool Animals Humans Child Models, Theoretical Beijing Databases, Factual Infant Enterovirus A, Human Seasons Female Hand, Foot and Mouth Disease Disease Outbreaks Infant, Newborn Deep Learning
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