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cov_figures_app's Introduction

Cov Figures

A cross-platform app that detects a user's location and provides up-to-date covid-19 stats. User's can also compare stats between multiple US counties.

Demo

Android iOS

Getting Started

As COVID-19 represents a novel public health crisis, apps of this nature can only be published to the Apple App Store or Google Play by legal entities. Therefore, this app can only be run locally at this point in time. Please follow the instructions below:

  1. Install Flutter on your computer and optionally set up an emulator/simulator.
  2. Clone the project & open it in your IDE or code editor. We worked with Android Studio and VS Code.
  3. Install and run on an emulator/simulator or physical device.

Data Sources/API

Data shown in app

Data Description
Confirmed Cases This is simply the amount of people who have been infected and tested positive for the coronavirus.
Recent Cases This is the amount of cases that have been confirmed from the last time new data was received from ncov19.us API to the recent update.
Total Deaths According to ncov19.us, this is the total number of confirmed Coronavirus cases that have resulted in deaths.
Recent Deaths This is the amount of recent deaths as provided by ncov19.us
Infected Density Taking the ratio of the number of confirmed cases to the total population of a county multiplied by a thousand, the infected density is simply the amount of confirmed cases per 1000 people living in that county.
Mortality Rate This is the percentage of confirmed cases that result in death in a particular county. Simply put, it is the ratio of confirmed deaths to confirmed cases multiplied by 100. This is also based on the data from the ncov19.us.
Danger Rank This is a ranking of all the counties in the US based on how high their infected densities are. This ranges from #3007(lowest infected density) to #1(highest infected density).

Flutter Packages used

Contributors

cov_figures_app's People

Contributors

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cov_figures_app's Issues

Create dataset class

Create the class for the data sets as well as the different attributes and methods

Kill loading Page

Find a way to kill the loading page as soon as the location is added to the stack

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