Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
🦠 Track the Coronavirus disease (COVID-19) in the command line. Worldwide for all countries, for one country, and the US States. Fast response time (< 100ms). https://NodeCLI.com
Describe the bug
In the raw database, genders of some patients is missing, and the same is reflected in the cluster by displaying it as female. Also, it may not be possible for the crowd-sourced data to get gender of all the patients. Also, it gives wrong visualization inference, that more females are infected by the virus.
A curl-based command line tracker for Novel Coronavirus or COVID-19 pandemic. It Supports terminal for linux and macos, command prompt for windows, and termux for android with real-time updates. curl -L covid19.trackercli.com
🇳🇴🇳🇱🇸🇰🇩🇰🇨🇴🇮🇹🇫🇷🇲🇽🇺🇸🇺🇦🇪🇸🇧🇷🇨🇦🇦🇺🇸🇬🇦🇷🇲🇾🇲🇹🇨🇱🇮🇳🇵🇹🇹🇷🇱🇹🇳🇵🇨🇿🇮🇩🇵🇭🇳🇬🇷🇴Join the fight! Open source webapp that let people report their health status to get overview of COVID-19
An Android Application written in Kotlin 📱 with MVVM Architecture using latest Android Development tools like Dagger2, Room, ViewModel, LiveData, Retrofit and Coroutines to display CoVID-19 Data
The Symptom Report allows the user to proceed past the location step without entering a location. Data without a location is not useful and also causes a server error. The location in this step (but not the tutorial step) should be required.
Privacy preserving voluntary Covid-19 self-reporting platform. Share your location history and status, get alerts you are in high risk areas and identify high risk regions
A CLI to fetch and compare the 2019 coronavirus pandemic statistics. It also fetches historical data and attempts to draw histograms of it to visualise the rate of infections.
A web app to display the live graphical state-wise reported corona cases in India so far. It also shows the latest news for COVID-19. Stay Home, Stay Safe!
Expected behavior
Mentor images should point to their respective social links such as LinkedIn or Github. At the moment all images are being directed at
Describe the bug
In the raw database, genders of some patients is missing, and the same is reflected in the cluster by displaying it as female. Also, it may not be possible for the crowd-sourced data to get gender of all the patients. Also, it gives wrong visualization inference, that more females are infected by the virus.
To Reproduce
Steps to reproduce the behavior: