AIMC Topic: Epidemics

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True epidemic growth construction through harmonic analysis.

Journal of theoretical biology Mar 12, 2020
In this paper, we have proposed a two-phase procedure (combining discrete graphs and wavelets) for constructing true epidemic growth. In the first phase, a graph-theory-based approach was developed to update partial data available and in the second p...
Machine Learning Models, Biological Epidemics
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Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning.

PloS one Jan 6, 2020
Modern societies are exposed to a myriad of risks ranging from disease to natural hazards and technological disruptions. Exploring how the awareness of risk spreads and how it triggers a diffusion of coping strategies is prominent in the research age...
Adaptation, Psychological Social Behavior Interpersonal Relations Decision Making Epidemics Social Learning Humans Cholera Machine Learning Risk Factors Computer Simulation Models, Theoretical
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A dynamic neural network model for predicting risk of Zika in real time.

BMC medicine Sep 2, 2019
BACKGROUND: In 2015, the Zika virus spread from Brazil throughout the Americas, posing an unprecedented challenge to the public health community. During the epidemic, international public health officials lacked reliable predictions of the outbreak's...
Humans Neural Networks, Computer Brazil Epidemics Americas Public Health Zika Virus Infection
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Novel epidemic models on PSO-based networks.

Journal of theoretical biology Jun 10, 2019
This paper proposes two spatio-temporal epidemic network models based on popularity and similarity optimization (PSO), called r-SI and r-SIS, respectively, in which new connections take both popularity and similarity into account. In the spatial dime...
Humans Neural Networks, Computer Computer Simulation Models, Biological Epidemics
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Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Scientific reports May 29, 2019
The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time serie...
Hand, Foot and Mouth Disease Epidemics Epidemiological Monitoring Seasons Datasets as Topic Deep Learning China Child, Preschool Models, Statistical Humans Incidence Forecasting Computer Simulation
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Weekly ILI patient ratio change prediction using news articles with support vector machine.

BMC bioinformatics May 20, 2019
BACKGROUND: Influenza continues to pose a serious threat to human health worldwide. For this reason, detecting influenza infection patterns is critical. However, as the epidemic spread of influenza occurs sporadically and rapidly, it is not easy to e...
Influenza, Human Epidemics Humans Internet Publications Support Vector Machine
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Artificial Intelligence Transforms the Future of Health Care.

The American journal of medicine Jan 31, 2019
Life sciences researchers using artificial intelligence (AI) are under pressure to innovate faster than ever. Large, multilevel, and integrated data sets offer the promise of unlocking novel insights and accelerating breakthroughs. Although more data...
Machine Learning Forecasting Drug Discovery Decision Support Systems, Clinical Delivery of Health Care Humans Artificial Intelligence Translational Research, Biomedical Epidemics
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Estimation of the Basic Reproduction Number and Vaccination Coverage of Influenza in the United States (2017-18).

Journal of research in health sciences Sep 22, 2018
BACKGROUND: Determining the epidemic threshold parameter helps health providers calculate the coverage while guiding them in planning the process of vaccination strategy. Since the trend and mechanism of influenza is very similar in different countri...
Influenza, Human United States Bayes Theorem Humans Health Services Needs and Demand Epidemics Vaccination Basic Reproduction Number Vaccination Coverage
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A machine learning method to monitor China's AIDS epidemics with data from Baidu trends.

PloS one Jul 11, 2018
BACKGROUND: AIDS is a worrying public health issue in China and lacks timely and effective surveillance. With the diffusion and adoption of the Internet, the 'big data' aggregated from Internet search engines, which contain users' information on the ...
Acquired Immunodeficiency Syndrome Humans Epidemics Machine Learning China
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The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.

Journal of biomedical semantics Aug 18, 2016
BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena in infectious disease epidemiology and population biology-as part of a project whose goal is to increase the use of epidemic simulators in public heal...
Communicable Diseases Models, Statistical Humans Software Biological Ontologies Epidemics
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