A Real-Time COVID-19 Data Visualization and Information Repository in the Philippines

Author(s):  
Julio Jerison E. Macrohon ◽  
Jyh-Horng Jeng
2019 ◽  
Vol 184 (Supplement_1) ◽  
pp. 114-120 ◽  
Author(s):  
Merritt Schreiber ◽  
David S Cates ◽  
Stephen Formanski ◽  
Michael King

Abstract There is increasing knowledge that health care workers (HCWs) can experience a variety of emotional impacts when responding to disasters and terrorism events. The Anticipate, Plan and Deter (APD) Responder Risk and Resilience Model was developed to provide a new, evidence-informed method for understanding and managing psychological impacts among HCWs. APD includes pre-deployment development of an individualized resilience plan and an in-theater, real-time self-triage system, which together allow HCWs to assess and manage the full range of psychological risk and resilience for themselves and their families. The inclusion of objective mental health risk factors to prompt activation of a coping plan, in connection with unit leadership real-time situational awareness, enables the first known evidence-driven “targeted action” plan to address responder risk early before Post Traumatic Stress Disorder and impairment become established. This paper describes pilot work using the self-triage system component in Alameda County’s Urban Shield and the Philippines’ Typhoon Haiyan, and then reports a case example of the full APD model implementation in West Africa’s Ebola epidemic.


1998 ◽  
Vol 12 (4) ◽  
pp. 371 ◽  
Author(s):  
Chris Mitchell ◽  
Walter Gekelman

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 312
Author(s):  
Alexandros Britzolakis ◽  
Haridimos Kondylakis ◽  
Nikolaos Papadakis

Sentiment Analysis is an actively growing field with demand in both scientific and industrial sectors. Political sentiment analysis is used when a data analyst wants to determine the opinion of different users on social media platforms regarding a politician or a political event. This paper presents Athena Political Popularity Analysis (AthPPA), a tool for identifying political popularity over Twitter. AthPPA is able to collect in-real-time tweets and for each tweet to extract metadata such as number of likes, retweets per tweet etc. Then it processes their text in order to calculate their overall sentiment. For the calculation of sentiment analysis, we have implemented a sentiment analyzer that is able to identify the grammatical issues of a sentence as well as a lexicon of negative and positive words designed specifically for political sentiment analysis. An analytic engine processes the collected data and provides different visualizations that provide additional insights on the collected data. We show how we applied our framework to the three most prominent Greek political leaders in Greece and present our findings there.


2020 ◽  
Vol 15 (2) ◽  
pp. 203-211
Author(s):  
Hiroyuki K. M. Tanaka ◽  

Technological developments in muography have evolved since the first volcano was imaged with muography in 2007. In order to improve the muography technique as a more useful aid to volcano studies, there is a need for the time required to show the resultant images to be shortened. To expedite this process, an automatic real-time visualization system was developed and tested. In conjunction with future scaled-up detectors that will collect muons faster, this visualization system can also offer more practical and efficient tools for volcano muography.


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