AIMC Topic: Communicable Disease Control

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Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.

ACS nano Nov 23, 2020
Deep-learning (DL)-based image processing has potential to revolutionize the use of smartphones in mobile health (mHealth) diagnostics of infectious diseases. However, the high variability in cellphone image data acquisition and the common need for l...
Image Processing, Computer-Assisted Smartphone Metal Nanoparticles CRISPR-Cas Systems COVID-19 Reproducibility of Results Public Health Deep Learning COVID-19 Testing Disaster Planning Communicable Disease Control Antigens, Viral Point-of-Care Testing Signal Processing, Computer-Assisted Platinum Telemedicine Humans Neural Networks, Computer
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How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.

International journal of environmental research and public health Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
Italy Patient Compliance Coronavirus Infections Communicable Disease Control Betacoronavirus Pneumonia, Viral Pandemics Humans COVID-19 Machine Learning Algorithms SARS-CoV-2
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Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.

Transboundary and emerging diseases Sep 17, 2020
The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the seventh generation of the coronavirus family. Following an unusual replication mechanism, i...
COVID-19 SARS-CoV-2 Animals Models, Biological Humans Machine Learning Pandemics Communicable Disease Control
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India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling.

PloS one Sep 11, 2020
India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive polici...
India Coronavirus Infections Communicable Disease Control Public Policy Humans Machine Learning Pandemics COVID-19 Pneumonia, Viral
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Decision tree machine learning applied to bovine tuberculosis risk factors to aid disease control decision making.

Preventive veterinary medicine Nov 30, 2019
Identifying and understanding the risk factors for endemic bovine tuberculosis (TB) in cattle herds is critical for the control of this disease. Exploratory machine learning techniques can uncover complex non-linear relationships and interactions wit...
Prevalence Animal Husbandry England Cattle Decision Making Decision Trees Communicable Disease Control Tuberculosis, Bovine Machine Learning Risk Factors Animals
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Artificial Intelligence for infectious disease Big Data Analytics.

Infection, disease & health Nov 2, 2018
BACKGROUND: Since the beginning of the 21st century, the amount of data obtained from public health surveillance has increased dramatically due to the advancement of information and communications technology and the data collection systems now in pla...
Disease Eradication Big Data Malaria Communicable Disease Control Humans Artificial Intelligence Communicable Diseases
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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...
Machine Learning Algorithms Forecasting Communicable Diseases Communicable Disease Control Malaria Reproducibility of Results Dengue Japan Public Health Infectious Disease Medicine Climate Disease Outbreaks Hand, Foot and Mouth Disease Wavelet Analysis Humans Thailand Chickenpox Incidence Models, Statistical Taiwan Singapore
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Framework for Infectious Disease Analysis: A comprehensive and integrative multi-modeling approach to disease prediction and management.

Health informatics journal Dec 27, 2017
The impact of infectious disease on human populations is a function of many factors including environmental conditions, vector dynamics, transmission mechanics, social and cultural behaviors, and public policy. A comprehensive framework for disease m...
Models, Organizational Population Surveillance Humans Social Media Machine Learning Natural Language Processing Forecasting Communicable Disease Control
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Hybrid methodology for tuberculosis incidence time-series forecasting based on ARIMA and a NAR neural network.

Epidemiology and infection Jan 24, 2017
Tuberculosis (TB) affects people globally and is being reconsidered as a serious public health problem in China. Reliable forecasting is useful for the prevention and control of TB. This study proposes a hybrid model combining autoregressive integrat...
Tuberculosis Communicable Disease Control Epidemiologic Methods Incidence Time Factors Models, Statistical Humans Neural Networks, Computer Forecasting China
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Field study analysis of the influences of deworming regimens and housing conditions on parasites and sperm output in 21 European boar studs.

Veterinary journal (London, England : 1997) Dec 2, 2015
The current study reports the parasitological results of a quality control audit in 21 European boar studs. Field investigations were performed over a 2-year period (2012-2013) during the winter and spring. From each stud, an average of 30 (range, 25...
Austria Animals Germany Spermatozoa Male Sus scrofa Housing, Animal Swine Diseases Seasons Swine Feces Benzimidazoles Lactones Communicable Disease Control Models, Theoretical Nematode Infections Switzerland Nematoda
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