AIMC Topic: Hand, Foot and Mouth Disease

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Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA-NNAR hybrid model.

PloS one Feb 5, 2021
BACKGROUND: Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that is associated with high morbidity. Reliable forecasting is crucial for prevention and control. Recently, hybrid models have become popular, and wavele...
Nonlinear Dynamics Wavelet Analysis Hand, Foot and Mouth Disease Forecasting Databases, Factual Child Humans China Neural Networks, Computer Models, Statistical Incidence Morbidity Seasons
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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...
Humans Databases, Factual Disease Outbreaks Deep Learning Child, Preschool Child Female Infant, Newborn Animals Infant Hand, Foot and Mouth Disease Enterovirus A, Human Models, Theoretical Seasons Beijing
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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics Jan 9, 2020
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Vital Signs Hand, Foot and Mouth Disease Models, Statistical Developing Countries Tetanus Diagnosis, Computer-Assisted Deep Learning Wearable Electronic Devices Child, Preschool Photoplethysmography Electrocardiography Monitoring, Physiologic Algorithms Communicable Diseases Adult Infant Humans
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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...
Epidemiological Monitoring Hand, Foot and Mouth Disease Deep Learning China Incidence Child, Preschool Models, Statistical Humans Seasons Forecasting Datasets as Topic Computer Simulation Epidemics
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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...
Models, Statistical Taiwan Singapore Malaria Japan Climate Wavelet Analysis Communicable Disease Control Public Health Disease Outbreaks Thailand Incidence Forecasting Communicable Diseases Reproducibility of Results Humans Machine Learning Algorithms Dengue Chickenpox Infectious Disease Medicine Hand, Foot and Mouth Disease
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Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.

Scientific reports Nov 27, 2017
Children of severe hand, foot, and mouth disease (HFMD) often present with same clinical features as those of mild HFMD during the early stage, yet later deteriorate rapidly with a fulminant disease course. Our goal was to: (1) develop a machine lear...
Male Infant Comorbidity Severity of Illness Index Electronic Health Records Hand, Foot and Mouth Disease Humans China Female Machine Learning Child, Preschool Infant, Newborn Algorithms ROC Curve Biomarkers Public Health Surveillance Retrospective Studies
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Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

Scientific reports Jul 14, 2017
The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laborat...
Child, Preschool Female Hand, Foot and Mouth Disease Male Humans Risk Assessment Machine Learning Infant Algorithms
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A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network.

Biomedical and environmental sciences : BES Jun 20, 2022
OBJECTIVES: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accur...
Humans Neural Networks, Computer Forecasting Reproducibility of Results Time Factors Disease Outbreaks Cities Data Visualization Spatio-Temporal Analysis Hand, Foot and Mouth Disease China Incidence
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