AIMC Topic: Disease Outbreaks

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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

Journal of medical Internet research Jul 9, 2018
BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-to-date responses to health crises such as infectious diseases outbreaks. Social media such as Twitter provide an unprecedented way for the prompt asse...
Humans Neural Networks, Computer History, 21st Century Perception Public Opinion Measles Reproducibility of Results Disease Outbreaks Social Media
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Mapping the transmission risk of Zika virus using machine learning models.

Acta tropica Jun 19, 2018
Zika virus, which has been linked to severe congenital abnormalities, is exacerbating global public health problems with its rapid transnational expansion fueled by increased global travel and trade. Suitability mapping of the transmission risk of Zi...
Zika Virus Infection Risk Neural Networks, Computer Machine Learning Disease Outbreaks Humans
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Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strat...
Zika Virus Disease Outbreaks Consumer Health Information Social Media Zika Virus Infection Humans Risk Information Dissemination Machine Learning Public Health Practice Communication
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Prediction of influenza-like illness based on the improved artificial tree algorithm and artificial neural network.

Scientific reports Mar 20, 2018
Because influenza is a contagious respiratory illness that seriously threatens public health, accurate real-time prediction of influenza outbreaks may help save lives. In this paper, we use the Twitter data set and the United States Centers for Disea...
Prevalence Computational Biology United States Centers for Disease Control and Prevention, U.S. Algorithms Influenza, Human Public Health Computer Simulation Humans Disease Outbreaks Datasets as Topic Neural Networks, Computer
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The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.

Journal of biomedical informatics Feb 27, 2018
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Infectious Disease Medicine Hand, Foot and Mouth Disease Chickenpox Wavelet Analysis Communicable Disease Control Dengue Incidence Models, Statistical Taiwan Japan Climate Singapore Malaria Public Health Disease Outbreaks Thailand Forecasting Communicable Diseases Reproducibility of Results Machine Learning Algorithms Humans
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A review of influenza detection and prediction through social networking sites.

Theoretical biology & medical modelling Feb 1, 2018
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases ...
Humans Predictive Value of Tests Internet Influenza, Human Search Engine Neural Networks, Computer Machine Learning Disease Outbreaks Social Networking
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Development of artificial intelligence approach to forecasting oyster norovirus outbreaks along Gulf of Mexico coast.

Environment international Dec 20, 2017
This paper presents an artificial intelligence-based model, called ANN-2Day model, for forecasting, managing and ultimately eliminating the growing risk of oyster norovirus outbreaks. The ANN-2Day model was developed using Artificial Neural Network (...
Humans Neural Networks, Computer Gastroenteritis Caliciviridae Infections Forecasting Norovirus Public Health Risk Gulf of Mexico Temperature Disease Outbreaks Ostreidae Animals
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Developing a dengue forecast model using machine learning: A case study in China.

PLoS neglected tropical diseases Oct 16, 2017
BACKGROUND: In China, dengue remains an important public health issue with expanded areas and increased incidence recently. Accurate and timely forecasts of dengue incidence in China are still lacking. We aimed to use the state-of-the-art machine lea...
Incidence Predictive Value of Tests Linear Models Climate Humans Dengue Machine Learning Public Health Algorithms Disease Outbreaks Forecasting China Temperature
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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research Sep 12, 2017
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topi...
Humans Machine Learning Influenza, Human Public Health Drug Therapy Disease Outbreaks Social Media
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Large-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks.

Methods (San Diego, Calif.) Aug 13, 2017
From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) in Korea. MERS is caused by MERS-CoV, an enveloped, positive-sense, single-stranded RNA virus belonging to the family Coronaviridae. Despite expert opi...
Middle East Respiratory Syndrome Coronavirus Mass Media Republic of Korea Disease Outbreaks Coronavirus Infections Humans Machine Learning
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