AIMC Topic: Disease Outbreaks
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Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.
Frontiers in public health
May 5, 2021
Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the me...
High-Efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors.
Foodborne pathogens and disease
Apr 26, 2021
The China National Center for Food Safety Risk Assessment (CFSA) uses the Foodborne Disease Monitoring and Reporting System (FDMRS) to monitor outbreaks of foodborne diseases across the country. However, there are problems of underreporting or errone...
Inaccuracies in Google's Health-Based Knowledge Panels Perpetuate Widespread Misconceptions Involving Infectious Disease Transmission.
The American journal of tropical medicine and hygiene
Apr 26, 2021
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any errors contained within Knowledge Panels could result in the widespread distribution of inaccurate h...
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.
Journal of biomedical informatics
Apr 22, 2021
BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,949 recovered cases and 4,867 deaths. After the announcement of lockdown in early April 2020, situatio...
Assessing the Outbreak Risk of Epidemics Using Fuzzy Evidential Reasoning.
Risk analysis : an official publication of the Society for Risk Analysis
Apr 17, 2021
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other risks affecting public health such as flooding, EDs attract little attention in terms of risk asses...
Improving the precision of modeling the incidence of hemorrhagic fever with renal syndrome in mainland China with an ensemble machine learning approach.
PloS one
Mar 16, 2021
OBJECTIVE: Hemorrhagic fever with renal syndrome (HFRS), one of the main public health concerns in mainland China, is a group of clinically similar diseases caused by hantaviruses. Statistical approaches have always been leveraged to forecast the fut...
Is artificial intelligence a solution to the myopia pandemic?
The British journal of ophthalmology
Mar 12, 2021
Reservoir hosts prediction for COVID-19 by hybrid transfer learning model.
Journal of biomedical informatics
Mar 9, 2021
The recent outbreak of COVID-19 has infected millions of people around the world, which is leading to the global emergency. In the event of the virus outbreak, it is crucial to get the carriers of the virus timely and precisely, then the animal origi...
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.
Computer methods and programs in biomedicine
Feb 7, 2021
BACKGROUND: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are global challenges and big point of concern worldwide. The outbreaks depend on different social and demographic factors based on human mobility struct...
Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
COVID-19 is threatening the health of the entire human population. In order to control the spread of the disease, epidemiological investigations should be conducted, to trace the infection source of each confirmed patient and isolate their close cont...
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