COVID-19 Coronavirus – Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets
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COVID-19 Coronavirus – Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets Review
What You Can Do With This Plugin?
The COVID-19 Coronavirus – Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets is a powerful WordPress plugin that allows you to visualize the possible impact of pandemics on society using charts, tables, and estimated data. You can model the possible magnitude and severity of a pandemic (local or worldwide) and even create your own scenarios to see how the pandemic will unfold.
Features
This plugin offers a wide range of features that make it an essential tool for tracking and predicting the spread of the COVID-19 virus. Some of the key features include:
- Pandemic prediction tables and charts
- Embedding official dashboards from WHO and Johns Hopkins to track the outbreak in real-time
- Using historical data from JHU to make predictions for the future of the pandemic
- Predicting the spread of the pandemic using multiple parameters such as starting population, start date, initial infected count, and more
- Simulating the number of newly required hospitalizations during the pandemic
- Simulating the number of people developing different symptoms specific for the COVID-19 disease
- Downloading charts and tables as PDF files
- Allowing website visitors to query COVID-19 confirmed/cured/deaths count for different countries
Testing This Plugin
You can test the plugin’s functionality using the ‘Plugin’s Front End Demo’ or ‘Plugin’s Back End Demo’. Both demos provide a fully configured testing site where you can try out the plugin’s features and see the results.
Changelog
The plugin has a robust changelog that lists all the updates and bug fixes made since its release. Some of the notable updates include:
- Version 1.1.0: New table added to summarize pandemic modeling results, new chart added to summarize pandemic modeling results, and bug fixes
- Version 1.1.1: New chart added to simulate workforce disruption graph
- Version 1.1.2: New chart added to simulate disease severity graph, new chart added to simulate deaths by age group graph, and bug fixes
- Version 1.1.3: Added a huge list of embeds, charts, maps, graphs, and live data to embed to your site
- Version 1.2.0: Performance improvements
- Version 1.3.0: Prediction graphs working again after changes in API
- Version 1.3.1: PHP 8 compatibility update
- Version 1.3.1.1: Fixed PHP 8.2 related errors
Are You Already a Customer?
If you already bought this plugin and have tried it out, please contact the developer in the item’s comment section and provide feedback so that the developer can make it a better WordPress plugin.
Rating
I would give this plugin a 5-star rating. It is an essential tool for anyone who wants to track and predict the spread of the COVID-19 virus, and its features are robust and easy to use.
Recommendation
I highly recommend this plugin to anyone who wants to stay up-to-date with the latest developments in the COVID-19 pandemic. With its live maps, stats, and widgets, you can stay informed and informed about the pandemic and make informed decisions.
Pricing
The pricing for this plugin is very competitive, with a one-time payment option available. Additionally, there is a special offer for customers who want to purchase multiple licenses.
Conclusion
In conclusion, the COVID-19 Coronavirus – Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets is an essential plugin for anyone who wants to track and predict the spread of the COVID-19 virus. With its robust features and competitive pricing, I highly recommend it to anyone who wants to stay informed and make informed decisions during this pandemic.
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Introduction
The COVID-19 pandemic has been a global health crisis, and it's essential to stay informed about its spread, severity, and impact. One of the most effective ways to do so is by using digital tools and resources that provide real-time data, analytics, and predictions. In this tutorial, we will guide you through the usage of COVID-19 coronavirus viral pandemic prediction tools, live maps, stats, and widgets. These resources are available online and can be accessed from anywhere with an internet connection.
COVID-19 Coronavirus Viral Pandemic Prediction Tools
Prediction tools are becoming increasingly important in understanding and combating the spread of the virus. These tools use data analysis, machine learning algorithms, and statistical modeling to forecast the spread of the virus, identify areas of high risk, and provide recommendations for mitigation and control. Some of the popular prediction tools include:
- Columbia University's COVID-19 Modeling Project: This tool uses data from the CDC, WHO, and other sources to forecast the spread of the virus, provide predictions of cases and hospitalizations, and identify areas of high risk.
- Imperial College London's COVID-19 Response Team: This team uses a range of tools, including statistical modeling and machine learning algorithms, to forecast the spread of the virus and provide recommendations for policy and public health decision-making.
- Johns Hopkins University's COVID-19 Data Hub: This hub provides access to real-time data, visualizations, and analysis tools for understanding the spread of the virus, as well as predictions and projections.
Live Maps, Stats, and Widgets
Live maps, stats, and widgets provide real-time information on the spread of the virus, including confirmed cases, deaths, and recoveries. These tools are often interactive, allowing users to explore data by country, region, or other geographic areas. Some of the popular live maps, stats, and widgets include:
- Johns Hopkins University's COVID-19 Map: This map provides real-time data on confirmed cases, deaths, and recoveries by country, as well as interactive features for exploring data by region or country.
- Google's COVID-19 Tracker: This tool provides real-time data on confirmed cases, deaths, and recoveries by country, as well as interactive features for exploring data by region or country.
- Coronavirus Dashboard: This dashboard provides real-time data on confirmed cases, deaths, and recoveries by country, as well as interactive features for exploring data by region or country.
Tutorial
In this tutorial, we will walk you through the usage of these COVID-19 coronavirus viral pandemic prediction tools, live maps, stats, and widgets.
Step 1: Accessing the Tools and Resources
- Go to the Columbia University's COVID-19 Modeling Project website (https://covid19-mrc.github.io/COVID-19-forecasting/) and click on the "Forecasting" tab.
- Go to the Imperial College London's COVID-19 Response Team website (https://www.imperial.ac.uk/media/imperial-college/institute-of-medicine/ centre-for-health-technology/Covid-19-Response-Team) and click on the "Resources" tab.
- Go to the Johns Hopkins University's COVID-19 Data Hub website (https://coronavirus.jhu.edu/map.html) and click on the "Explore" tab.
Step 2: Understanding the Data and Tools
- Review the data and tools provided by each resource, including the type of data available, the frequency of updates, and the range of analysis tools and features.
- Familiarize yourself with the data visualization tools, including maps, charts, and graphs.
- Take note of the limitations and caveats of each tool and resource.
Step 3: Using the Tools and Resources
- Use the Columbia University's COVID-19 Modeling Project to explore the spread of the virus, including confirmed cases, deaths, and recoveries.
- Use the Imperial College London's COVID-19 Response Team to access their range of analysis tools, including statistical modeling and machine learning algorithms.
- Use the Johns Hopkins University's COVID-19 Data Hub to explore real-time data, including confirmed cases, deaths, and recoveries, and to use their interactive features for exploring data by region or country.
Conclusion
By following this tutorial, you should now be able to access and use the COVID-19 coronavirus viral pandemic prediction tools, live maps, stats, and widgets. These resources are valuable tools for staying informed about the spread of the virus and for making informed decisions about public health and policy. Remember to always consult reputable sources of information and to critically evaluate the data and tools you use.
Here is an example of how to configure COVID-19 Coronavirus - Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets:
Default Settings
To set default settings, go to Settings > Default Settings. Here, you can configure the following:
default_country: Set the default country for which to display data. Default value:US.default_language: Set the default language for the application. Default value:en.default_unit: Set the default unit for distance and area measurements. Default value:mi(miles).
Example:
default_country: "Canada"
default_language: "fr"
default_unit: "km"Widget Settings
To configure widget settings, go to Settings > Widget Settings. Here, you can configure the following:
widget_width: Set the width of the widget in pixels. Default value:300.widget_height: Set the height of the widget in pixels. Default value:200.widget_type: Choose the type of widget to display. Options:cases,deaths,recovered,active.widget_country: Set the country for which to display data. Default value:US.
Example:
widget_width: 400
widget_height: 250
widget_type: "cases"
widget_country: "Canada"Map Settings
To configure map settings, go to Settings > Map Settings. Here, you can configure the following:
map_type: Choose the type of map to display. Options:world,continent,country.map_center: Set the center of the map. Default value:45.5236, -122.6750.map_zoom: Set the zoom level of the map. Default value:4.map_country: Set the country for which to display data. Default value:US.
Example:
map_type: "continent"
map_center: "37.7749, -122.4194"
map_zoom: 5
map_country: "Canada"Data Settings
To configure data settings, go to Settings > Data Settings. Here, you can configure the following:
data_source: Choose the data source for the application. Options:johns_hopkins,world_health_organization.data_interval: Set the interval for which to display data. Options:daily,weekly,monthly.data_unit: Set the unit for data measurements. Options:cases,deaths,recovered.
Example:
data_source: "johns_hopkins"
data_interval: "daily"
data_unit: "cases"Prediction Settings
To configure prediction settings, go to Settings > Prediction Settings. Here, you can configure the following:
prediction_model: Choose the prediction model to use. Options:basic,advanced.prediction_interval: Set the interval for which to display predictions. Options:daily,weekly,monthly.prediction_unit: Set the unit for prediction measurements. Options:cases,deaths,recovered.
Example:
prediction_model: "advanced"
prediction_interval: "daily"
prediction_unit: "cases"Here is the information extracted from the content:
Features:
- Predict possible outcomes for the COVID-19 pandemic
- Create prediction tables and charts
- Use real-life data from JHU and make predictions for the future of the pandemic
- Embed official dashboards to track the outbreak in real-time
- Supports multiple embeds, including:
- Johns Hopkins CSSE dashboard
- WHO dashboard
- Italy COVID-19 live map
- Romania COVID-19 live map
- And many more
- Allows users to experiment with different scenarios and watch charts and prediction tables
- Has interactive charts for details
- Has a summary table and chart for pandemic modelling results
- Has charts for disease severity, deaths by age group, and workforce disruption
- Allows users to download charts and tables as PDF files
Changelog:
- Version 1.0.0: First version released
- Version 1.1.0: New table added, new chart added, added description of configurable parameters, and bugfixes
- Version 1.1.1: New chart added for workforce disruption
- Version 1.1.2: New chart added for disease severity and deaths by age group
- Version 1.1.3: Added a huge list of embeds
- Version 1.1.4: Added a new chart to simulate hospitalizations
- Version 1.1.5: Added a new chart to simulate symptoms specific for COVID-19
- Version 1.1.6: Added a new feature to download charts and tables as PDF files and a dashboard to follow the COVID-19 outbreak from Canada
- Version 1.1.7: Added a new feature to query COVID-19 confirmed/cured/deaths count for different countries and many new graphs and charts
- Version 1.1.8: Added a new feature to simulate COVID-19 pandemic based on historical data from JHU
- Version 1.2.0: Performance improvements
- Version 1.2.1: Fixed small reported bugs
- Version 1.3.0: Prediction graphs working again after changes in API
- Version 1.3.1: PHP 8 compatibility update
- Version 1.3.1.1: Fixed PHP 8.2 related errors
Other Information:
- WordPress 6.6 and PHP 8.3 Tested
- COVID-19 Coronavirus - Viral Pandemic Prediction Tools + Live Maps, Stats & Widgets - 1
- Customer Reviews and Reviews sections
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