# Contribution's title, author, abstract
title: Dashboard to monitor Covid-19 pandemy in Italy 
author: Vito Fanelli
abstract: |
  This dashboard allows to monitor Covid-19 pandemy in Italy. It based on daily data of Protezione Civile. The "Italy" section shows the number of total cases, actual cases, healed and deads at country level. It contains daily trends, moving averages and mortality rate. In "Region" section there are the same information at regional level.

# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: Covid-19 in italy
# URL of the public source code repository
https://github.com/VitoFanelli/covid-19-italy
# Type of contribution and how it can be featured as gallery content
# Keep only the type and content relevant to your contribution
# For a Shiny app, provide its URL:
type: shiny
content: https://vitofanelli1.shinyapps.io/Covid19Italy/
# For a general online-published resource (e.g. a website / report):
type: webpage
content: https://user.github.io/my-analysis # URL of the webpage
# For more complex / heterogeneous contributions, you can create a GitHub
# Gist (https://gist.github.com/) with the relevant information and pointers:
type: gist
content: <script...> # place here what you get from the "Embed" button

# Contribution's title, author, abstract
title: Global Cover-19 Explorer # title case
author: DataHive # comma-separated
abstract: |
  The Global Covid-19 Explorer is a shiny dashboard using interactive visualizations with innovative metrics to compare the Covid-19 burden in different countries.

# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: Covid19-Explorer
# URL of the public source code repository
repository: https://github.com/tdesmedt-tdsgn/Covid-Explorer
# Type of contribution and how it can be featured as gallery content
# Keep only the type and content relevant to your contribution
# For a Shiny app, provide its URL:
type: shiny
content: https://user.shinyapps.io/my-app # e.g. my-app on shinyapps.io
https://datahive.shinyapps.io/Covid19-Explorer/

# Contribution's title, author, abstract
title: MINT - Monitoring the Italian National and Regional Contagion Trends
author: Ilaria Ceppa et al., Kode Solutions
abstract: |
  MINT is a Shiny dashboard developed to visualize and analyze in a simplified manner data on the spread of the COVID-19 virus in Italy.
  The web app uses publicly available data, published every day by Protezione Civile Italiana on github. The app automatically updates every day at 6:30pm.
  In the first tab the dashboard provides an overview of national data, visualizing trends and percent increments of various variables, whereas in the tab "Regional data" the user can select a specific region and explore the data at a regional level.
  Moreover, in the "Regional Trends" tab, we give the user an overall view of the trends of specific variables across all the regions, while in the "Regional Comparison" tab the user can compare two or more specific regions in terms of their trends and percent increment values over time.
  Finally, in the tab "Twitter overview", the app shows the trends for the number of sent tweets and hashtags searches. This data was collected from Twitter from the end of February to the beginning of April. 
# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: MINT - Monitoring Italian contagion trends
# URL of the public source code repository
repository: https://gitlab.com/kode_public/app-pc-data
# For more complex / heterogeneous contributions, you can create a GitHub
# Gist (https://gist.github.com/) with the relevant information and pointers:
type: gist
content: <script src="https://gist.github.com/ilaria-kode/a37ba1b4a661f9208a8dbed3bfab5fa0.js"></script>

# Contribution's title, author, abstract
title: Interactive Dashboard for Real-Time Recording of COVID-19 Outbreak in Japan
author: Wei Su # can this be a person's name?
abstract: |
  The project is a website for real-time visualization of the COVID-19 
  epidemic in Japan, developed mainly using the R language with shiny and other
  open-source packages. It mainly shows various indicators including, 
  but not limited to, PCR test, positive confirmed, hospital discharge and death, 
  as well as trends in each prefecture in Japan, and there are also a variety of
  charts such as cluster network, new confirmed case in log scale for users' reference.

# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: COVID-19 Bulletin Board Japan
# URL of the public source code repository
repository: https://github.com/swsoyee/2019-ncov-japan
# Type of contribution and how it can be featured as gallery content
# Keep only the type and content relevant to your contribution
# For a Shiny app, provide its URL:
type: shiny
content: https://covid-2019.live/en

# Contribution's title, author, abstract
title: The Prime Minster's Speech(es)
author: Gabriele Galatolo, Ilaria Ceppa, Francesca Giorgolo, Matteo Papi, Andrea Zedda, Marco Calderisi
abstract: |
  Italy was the first European country to face the Covid19 crisis and is one of the most hit by the pandemic. This led the Italian Government to take extraordinary decisions and measures to manage the economic and social effects related to the contagions.
  In this article we posted on our "Kode Covid19 Blog" we analyzed the speeches given by the Italian Prime Minister Giuseppe Conte comparing them with the reactions we retrieved from Italian Twitter messages having crisis-related hashtags (e.g. #coronavirus, #covid19).
  With simple text-mining techniques and sentiment analysis we provided visualizations and analysis about the crisis and the population feelings seen from the point of view of both Twitter and the Prime Minister conferences.

# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: The Prime Minster's Speech(es)
# URL of the public source code repository
repository: https://gitlab.com/kode_public/blogdown_website/-/tree/master/content/articles/2020-03-24-speeches-of-the-prime-minister
type: gist
content: <script src="https://gist.github.com/gabri985/214a998e7d270e58303519383b3ebf7a.js"></script>

# Contribution's title, author, abstract
title: COVID-19 Data Visualization Platform # title case
author: Shubhram Pandey # comma-separated
abstract: |
A new invisible enemy, only 30kb in size, has emerged and is on a killing spree around the world: 2019-nCoV, the Novel Coronavirus!  
This monitor was developed to make the data and key visualizations of COVID-19 trends available to everyone and also provide a platform to conduct a sentiment analysis of social media posts using Natural Language Processing (NLP).  
This monitor has 3 tabs: Dashboard, Comparison and Sentiments. The dashboard allows the user to view a complete picture of COVID-19 spread around the world. User can also click on any country in the map to view the numbers in that country. In comparison tab, user can compare the spread of COVID-19 in multiple countries in one view. Sentiment tab allows the user to run a sentiment analysis of trending hashtags of coronavirus on social media.  
The data used in this dashboard is from publicly available reliable and tested source like WHO , John Hopkins, etc.


# Short name to be used in the website Gallery menu (can be the same as title)
menu_entry: COVID19 Monitor
# URL of the public source code repository
repository: https://github.com/shubhrampandey/coronaVirus-dataViz
# Type of contribution and how it can be featured as gallery content
# Keep only the type and content relevant to your contribution
# For a Shiny app, provide its URL:
type: shiny
content: https://shubhrampandey.shinyapps.io/coronaVirusViz # e.g. my-app on shinyapps.io