• Corpus ID: 211678179

Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand

@article{Kastner2020ViewingTP,
  title={Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand},
  author={John H. Kastner and Hong Wei and Hanan Samet},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.00107}
}
With the continuing spread of COVID-19, it is clearly important to be able to track the progress of the virus over time to be better prepared to anticipate its emergence in new regions. Officially released numbers of cases will likely be the most accurate means by which to track this, but they will not necessarily paint a complete picture. We have developed an application 1 usable on desktop and mobile devices that allows users to explore geographic spread in discussion about the virus through… 

Figures, Tables, and Topics from this paper

Space-time dependence of corona virus (COVID-19) outbreak
We analyse the data for the global corona virus (COVID-19) outbreak using the results of a previously studied Susceptible-Infected-Removed (SIR) model of epidemic spreading on Euclidean networks. We
Covid-19 Global Spread Analyzer: An ML-Based Attempt
TLDR
Two datasets are introduced, each of which consists of 25 country-level factors and covers 137 countries summarizing different domains and aims to detect the increase of the total cases and the total deaths, whereas COVID-19STD aimed for total death detection.
Remodelling Kermack-McKendrick Model of Epidemic: Effects of Additional Non-linearity and Introduction of Medicated Herd Immunity.
TLDR
A critical value of the rate of vaccination is estimated by a statistical method such that a way of possible eradication of the epidemic in a short time by effectively providing the vaccine to a population is proposed.
Phase transition in Kermack-McKendrick Model of Epidemic: Effects of Additional Nonlinearity and Introduction of Medicated Immunity
Mathematical modelling of the spread of epidemics has been an interesting challenge in the field of epidemiology. The SIR Model proposed by Kermack and McKendrick in 1927 is a prototypical model of
Neural Network Based Country Wise Risk Prediction of COVID-19
TLDR
A shallow long short-term memory (LSTM) based neural network to predict the risk category of a country and shows that the proposed pipeline outperforms state-of-the-art methods for data of 180 countries and can be a useful tool for such risk categorization.
Covid-19 spread: Reproduction of data and prediction using a SIR model on Euclidean network.
TLDR
It is reported here that the SIR model on the Eucledean network can reproduce with a high accuracy the data for China for given parameter values, and can also predict when the epidemic, at least locally, can be expected to be over.
Modelling the Spread of an Epidemic in Presence of Vaccination using Cellular Automata
TLDR
The results of Kermack-McKendrick SIR model are planned to be reproduced by cellular automata (CA) lattice model, and the results of vaccination has been incorporated also in the CA algorithm with a satisfactory degree of success.
Neural network based country wise risk prediction of COVID-19
TLDR
A shallow Long short-term memory (LSTM) based neural network is proposed to predict the risk category of a country and shows that the proposed pipeline outperforms against state-of-the-art methods for 170 countries data and can be a useful tool for such risk categorization.

References

SHOWING 1-3 OF 3 REFERENCES
Multifaceted toponym recognition for streaming news
TLDR
A method for toponym recognition is presented that is tuned for streaming news by leveraging a wide variety of recognition components, both rule-based and statistical, and shows that it outperforms two prominent toponyms recognition systems when tested on large datasets of streaming news.
Adaptive context features for toponym resolution in streaming news
TLDR
New classification features to improve toponym resolution, termed adaptive context features, are introduced that consider a window of context around each toponym, and use geographic attributes of toponyms in the window to aid in their correct resolution.
Reading news with maps by exploiting spatial synonyms
Use this map query interface to search the world, even when not sure what information you seek.