scholarly journals Twitter, COVID-19, and disability

2021 ◽  
Vol 28 (2) ◽  
pp. 20-23
Author(s):  
Stephanie Valencia ◽  
Lynn Kirabo
Keyword(s):  
Virus Spread

At the onset of the COVID-19 pandemic, people looked to scientists and other leaders to understand the rate at which the virus spread. Much of this information, however, was not accessible to everyone.

Covid-19 Cases in India: A Visual Exploratory Data Analysis Model (Preprint)

2020 ◽  
Author(s):  
Jayesh S
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Case Fatality ◽  
Public Health Emergency ◽  
Virus Spread ◽  
Analysis Model ◽  
Case Fatality Ratio ◽  
First Case ◽  
Exploratory Data ◽  
The Government

UNSTRUCTURED Covid-19 outbreak was first reported in Wuhan, China. The deadly virus spread not just the disease, but fear around the globe. On January 2020, WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC). First case of Covid-19 in India was reported on January 30, 2020. By the time, India was prepared in fighting against the virus. India has taken various measures to tackle the situation. In this paper, an exploratory data analysis of Covid-19 cases in India is carried out. Data namely number of cases, testing done, Case Fatality ratio, Number of deaths, change in visits stringency index and measures taken by the government is used for modelling and visual exploratory data analysis.

Measles Virus Spread by Cell-Cell Contacts: Uncoupling of Contact-Mediated Receptor (CD46) Downregulation from Virus Uptake

1999 ◽  
Vol 73 (12) ◽  
pp. 10556-10556
Author(s):  
Ruth firsching ◽  
christian j. buchholz ◽  
urs schneider ◽  
roberto cattaneo ◽  
volker ter meulen ◽  
...  
Keyword(s):  
Measles Virus ◽  
Virus Spread ◽  
Cell Contacts ◽  
Cell Cell

Locally temperature - driven mathematical model of West Nile virus spread in Germany

2020 ◽  
Vol 488 ◽  
pp. 110117
Author(s):  
Suman Bhowmick ◽  
Jörn Gethmann ◽  
Franz J. Conraths ◽  
Igor M. Sokolov ◽  
Hartmut H.K. Lentz
Keyword(s):  
Mathematical Model ◽  
West Nile Virus ◽  
Virus Spread ◽  
West Nile

scholarly journals The Spread of the COVID-19 Outbreak in Brazil: An Overview by Kohonen Self-Organizing Map Networks

Medicina ◽  
2021 ◽  
Vol 57 (3) ◽  
pp. 235
Author(s):  
Diego Galvan ◽  
Luciane Effting ◽  
Hágata Cremasco ◽  
Carlos Adam Conte-Junior
Keyword(s):  
The Self ◽  
Self Organizing Map ◽  
Virus Spread ◽  
Self Organizing Maps ◽  
The North ◽  
Som Clustering ◽  
Unsupervised Neural Networks ◽  
Mining Tools ◽  
Temporal Spread ◽  
Self Organizing

Background and objective: In the current pandemic scenario, data mining tools are fundamental to evaluate the measures adopted to contain the spread of COVID-19. In this study, unsupervised neural networks of the Self-Organizing Maps (SOM) type were used to assess the spatial and temporal spread of COVID-19 in Brazil, according to the number of cases and deaths in regions, states, and cities. Materials and methods: The SOM applied in this context does not evaluate which measures applied have helped contain the spread of the disease, but these datasets represent the repercussions of the country’s measures, which were implemented to contain the virus’ spread. Results: This approach demonstrated that the spread of the disease in Brazil does not have a standard behavior, changing according to the region, state, or city. The analyses showed that cities and states in the north and northeast regions of the country were the most affected by the disease, with the highest number of cases and deaths registered per 100,000 inhabitants. Conclusions: The SOM clustering was able to spatially group cities, states, and regions according to their coronavirus cases, with similar behavior. Thus, it is possible to benefit from the use of similar strategies to deal with the virus’ spread in these cities, states, and regions.

scholarly journals Dengue geography in Vientiane Capital, 2012–2019: Combining multiple datasets to understand virus spread in an endemic city

2020 ◽  
Vol 101 ◽  
pp. 234
Author(s):  
O. Telle ◽  
M. Choisy ◽  
S. Somlor ◽  
S. Benkimoun ◽  
V. Pommelet ◽  
...  
Keyword(s):  
Virus Spread ◽  
Multiple Datasets

scholarly journals William James and the Sustainable Transformation of Values, with a Case Study for Rethinking the American Dream

Human Arenas ◽  
2021 ◽  
Author(s):  
Paul Croce
Keyword(s):  
Economic Growth ◽  
Social Transformation ◽  
American Dream ◽  
William James ◽  
Social Issues ◽  
Virus Spread ◽  
Global Pandemic ◽  
The Face ◽  
The Many

AbstractThis article addresses the call of the Psychology of Global Crises conference for linkage of academic work with social issues in three parts: First, examples from conference participants with their mix of bold calls for social transformation and realization of limits, a combination that generated few clear paths to achieving them. Second, presentation of Jamesian practical idealism with psychological insights for moving past impediments blocking implementation of ideals. And third, a case study of impacts from the most recent prominent crisis, the global pandemic of 2020, which threatens to exacerbate the many crises that had already been plaguing recent history. The tentacles of COVID’s impact into so many problems, starting with economic impacts from virus spread, present an opportunity to rethink the hope for constant economic growth, often expressed as the American Dream, an outlook that has driven so many of the problems surging toward crises. Jamesian awareness of the construction of ideological differences and encouragement of listening to those in disagreement provide not political solutions, but psychological preludes toward improvements in the face of crises.

scholarly journals Using Network Analysis and Machine Learning to Identify Virus Spread Trends in COVID-19

2021 ◽  
pp. 100242
Author(s):  
Carlos Andre Reis Pinheiro ◽  
Matthew Galati ◽  
Natalia Summerville ◽  
Mark Lambrecht
Keyword(s):  
Machine Learning ◽  
Network Analysis ◽  
Virus Spread

scholarly journals Parkinson’s Disease Causative Mutation in Vps35 Disturbs Tetherin Trafficking to Cell Surfaces and Facilitates Virus Spread

Cells ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 746
Author(s):  
Yingzhuo Ding ◽  
Yan Li ◽  
Gaurav Chhetri ◽  
Xiaoxin Peng ◽  
Jing Wu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Ectopic Expression ◽  
Lewy Bodies ◽  
Cell Protein ◽  
Causative Mutation ◽  
Virus Spread ◽  
Cell Surfaces ◽  
Vacuolar Protein ◽  
Hsv 1

Parkinson’s disease (PD) is the most common neurodegenerative movement disorder, characterized by progressive loss of dopaminergic neurons in the substantia nigra, intraneuronal deposition of misfolded proteins known as Lewy bodies, and chronic neuroinflammation. PD can arise from monogenic mutations, but in most cases, the etiology is unclear. Viral infection is gaining increasing attentions as a trigger of PD. In this study, we investigated whether the PD-causative 620 aspartate (D) to asparagine (N) mutation in the vacuolar protein sorting 35 ortholog (Vps35) precipitated herpes simplex virus (HSV) infection. We observed that ectopic expression of Vps35 significantly reduced the proliferation and release of HSV-1 virions; the D620N mutation rendered Vps35 a partial loss of such inhibitory effects. Tetherin is a host cell protein capable of restricting the spread of encapsulated viruses including HSV-1 and SARS-Cov-2, both of which are implicated in the development of parkinsonism. Compared with cells overexpressing wildtype Vps35, cells expressing mutant Vps35 with D620N had less Tetherin on cell surfaces. Real-time and static cell imaging revealed that Tetherin recycled through Vps35-positive endosomes. Expression of Vps35 with D620N reduced endosomal dynamics and frequency of motile Tetherin-containing vesicles, a sign of defective production of recycling carriers. Our study suggests that the D620N mutation in Vps35 hinders Tetherin trafficking to cell surfaces and facilitates virus spread.

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