AIMC Topic: Disease Outbreaks

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Location of sources in reaction-diffusion equations using support vector machines.

PloS one Dec 5, 2019
The reaction-diffusion equation serves to model systems in the diffusion regime with sources. Specific applications include diffusion processes in chemical reactions, as well as the propagation of species, diseases, and populations in general. In som...
Communicable Diseases Animals Disease Outbreaks Support Vector Machine Models, Biological Diffusion Population Disease Vectors
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Attention-based recurrent neural network for influenza epidemic prediction.

BMC bioinformatics Nov 25, 2019
BACKGROUND: Influenza is an infectious respiratory disease that can cause serious public health hazard. Due to its huge threat to the society, precise real-time forecasting of influenza outbreaks is of great value to our public.
Humans Influenza, Human Neural Networks, Computer Forecasting Public Health Disease Outbreaks China
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Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.

Geospatial health Nov 6, 2019
Early warning systems (EWS) have been proposed as a measure for controlling and preventing dengue fever outbreaks in countries where this infection is endemic. A vaccine is not available and has yet to reach the market due to the economic burden of d...
Temperature Reproducibility of Results Risk Factors Humans Machine Learning Taiwan Climate Dengue Disease Outbreaks Geographic Information Systems Spatio-Temporal Analysis
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Machine-learning algorithms to identify key biosecurity practices and factors associated with breeding herds reporting PRRS outbreak.

Preventive veterinary medicine Aug 20, 2019
Investments in biosecurity practices are made by producers to reduce the likelihood of introducing pathogens such as porcine reproductive and respiratory syndrome virus (PRRSv). The assessment of biosecurity practices in breeding herds is usually don...
Animals Disease Outbreaks Swine Machine Learning Algorithms Risk Factors Breeding Animal Husbandry Porcine Reproductive and Respiratory Syndrome Case-Control Studies Porcine respiratory and reproductive syndrome virus United States
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Complementing the power of deep learning with statistical model fusion: Probabilistic forecasting of influenza in Dallas County, Texas, USA.

Epidemics Jun 8, 2019
Influenza is one of the main causes of death, not only in the USA but worldwide. Its significant economic and public health impacts necessitate development of accurate and efficient algorithms for forecasting of any upcoming influenza outbreaks. Most...
Bayes Theorem Influenza, Human Texas Disease Outbreaks Deep Learning Models, Statistical Humans Forecasting Public Health
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Regional level influenza study based on Twitter and machine learning method.

PloS one Apr 23, 2019
The significance of flu prediction is that the appropriate preventive and control measures can be taken by relevant departments after assessing predicted data; thus, morbidity and mortality can be reduced. In this paper, three flu prediction models, ...
Centers for Disease Control and Prevention, U.S. Vaccination United States Support Vector Machine Data Analysis Models, Statistical Humans Forecasting Social Media Disease Outbreaks Influenza, Human
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Booster immunity - diagnosis of chronic hepatitis B viral infection.

Journal of infection in developing countries Mar 31, 2019
INTRODUCTION: Diagnosis of chronic hepatitis B virus (HBV) infection particularly its occult form requires monitoring and repeat serological and molecular studies. The aim of the study was to investigate the possible relation between the case of a fa...
Family Health Disease Outbreaks Hepatitis A Hepatitis B virus Adult Humans Hepatitis B Antigens Hepatitis B, Chronic DNA, Viral Male Middle Aged Hepatitis B Vaccines Female Hepatitis B Antibodies
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Statistical outbreak detection by joining medical records and pathogen similarity.

Journal of biomedical informatics Feb 13, 2019
We present a statistical inference model for the detection and characterization of outbreaks of hospital associated infection. The approach combines patient exposures, determined from electronic medical records, and pathogen similarity, determined by...
Models, Theoretical Cross Infection Medical Records Machine Learning Disease Outbreaks United States Humans
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Kyasanur Forest Disease Classification Framework Using Novel Extremal Optimization Tuned Neural Network in Fog Computing Environment.

Journal of medical systems Sep 1, 2018
Kyasanur Forest Disease (KFD) is a life-threatening tick-borne viral infectious disease endemic to South Asia and has been taking so many lives every year in the past decade. But recently, this disease has been witnessed in other regions to a large e...
Disease Outbreaks Humans Bayes Theorem Neural Networks, Computer Kyasanur Forest Disease Algorithms
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Deep learning for supervised classification of spatial epidemics.

Spatial and spatio-temporal epidemiology Aug 29, 2018
In an emerging epidemic, public health officials must move quickly to contain the spread. Information obtained from statistical disease transmission models often informs the development of containment strategies. Inference procedures such as Bayesian...
Humans Animals Disease Outbreaks Agriculture Models, Statistical Iowa Swine Swine Diseases Deep Learning
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