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An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United
States have served as a visible and important communication channel between the scientific …
States have served as a visible and important communication channel between the scientific …
Analysis and prediction of infectious diseases based on spatial visualization and machine learning
Y Cheng, Y Bai, J Yang, X Tan, T Xu, R Cheng - Scientific Reports, 2024 - nature.com
Infectious diseases are a global public health problem that poses a threat to human society.
Since the 1970s, constantly mutated new infectious viruses have been quietly attacking …
Since the 1970s, constantly mutated new infectious viruses have been quietly attacking …
DemOpts: Fairness corrections in COVID-19 case prediction models
COVID-19 forecasting models have been used to inform decision making around resource
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
allocation and intervention decisions eg, hospital beds or stay-at-home orders. State of the …
Auditing the Fairness of COVID-19 Forecast Hub Case Prediction Models
The COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent
research groups, is used by the Centers for Disease Control and Prevention (CDC) for their …
research groups, is used by the Centers for Disease Control and Prevention (CDC) for their …
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
One of the central difficulties of addressing the COVID-19 pandemic has been accurately
measuring and predicting the spread of infections. In particular, official COVID-19 case …
measuring and predicting the spread of infections. In particular, official COVID-19 case …
Estimating the Spread Scenario of Acute Diarrhea and Dengue Diseases in India: A Comparative Analysis of Statistical, Mathematical, and Deep Learning Models
This work estimates the spread scenario of acute diarrhoea and dengue diseases in India.
Statistical, mathematical (compartmental), and deep learning time series models are …
Statistical, mathematical (compartmental), and deep learning time series models are …
A Multi-modal Attention-based Seq2eq Model for Predicting Real-estate Prices
P Yao - 2021 IEEE International Conference on Emergency …, 2021 - ieeexplore.ieee.org
Some studies show that the closure and reopening orders brought by covid-19 have had a
negative impact on the residential real estate market. Generally speaking, real estate sales …
negative impact on the residential real estate market. Generally speaking, real estate sales …