Tracking the real US coronavirus testing numbers with open source

栏目: IT技术 · 发布时间: 6年前

内容简介:Want to know something scary? We really don't even know how many people have been tested for theFortunately, researchers andIsn't this the job of the

Want to know something scary? We really don't even know how many people have been tested for the coronavirus, never mind how many have it. Despite the Trump administration's promise of millions of tests and President Donald Trump's claims that anyone can get tested for COVID-19 , it's clear there's still not enough tests available. 

latest developments

Tracking the real US coronavirus testing numbers with open source

Coronavirus: Business and technology in a pandemic

From cancelled conferences to disrupted supply chains, not a corner of the global economy is immune to the spread of COVID-19.

Read More

Fortunately, researchers and Atlantic writers are pulling together data from numerous sources and using open-source software to give us the most accurate possible numbers on those tested, those found to be ill, and those who haven't gotten it. 

Isn't this the job of the gutted Centers for Disease Control (CDC) ? Yes. But, with insufficient resources, thanks to Trump's CDC budget cuts , it's no longer trying. 

The CDC US coronavirus site states:

" CDC is no longer reporting the number of persons under investigation (PUIs) that have been tested, as well as PUIs that have tested negative. Now that states are testing and reporting their own results, CDC's numbers are not representative of all testing being done nationwide." 

If it's not tracking the numbers, then who is? Open-source developers and allies -- with The Covid Tracking Project .

The project collects information from all 50 US states, the District of Columbia, and five other US territories to provide the most comprehensive testing data it can collect for the novel coronavirus, SARS-CoV-2. It attempts to include positive and negative results, pending tests, and total people tested for all of them.

It's not perfect.  Besides, with the CDC is no longer sharing complete testing data, each state and region are doing it their own way.

The developers explain:

"The information is patchy and inconsistent, so we're being transparent about what we find and how we handle it -- the spreadsheet includes our live comments about changing data and how we're working with incomplete information."

They also have Best Practices suggestions on how the data should be reported . Hopefully, the state health departments will follow their guidelines. 

The program itself uses Ruby to crawl state websites and update data at coronavirus (COVID-19) testing data . The API is wrapped in R , a statistical computing language.

If you want to see the data for yourself, it's available both as raw data on a Google spreadsheet or in JSON and CSV so you can work with it via an API .

Now, more than ever, we need real hard data as we face an increasingly dangerous and uncertain world. Thanks are owed for these individuals standing up to do the work when our government fails us.

And what are the results? As of the afternoon of March 19, there have been 103,945 total COVID-19 tests reported . Of those, 11,723 people were infected, 89,197 were not infected, 3,025 are still awaiting results, and 160 have died.


以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持 码农网

查看所有标签

猜你喜欢:

本站部分资源来源于网络,本站转载出于传递更多信息之目的,版权归原作者或者来源机构所有,如转载稿涉及版权问题,请联系我们

图解HTTP

图解HTTP

【日】上野宣 / 于均良 / 人民邮电出版社 / 2014-4-15 / 49.00元

本书对互联网基盘——HTTP协议进行了全面系统的介绍。作者由HTTP协议的发展历史娓娓道来,严谨细致地剖析了HTTP协议的结构,列举诸多常见通信场景及实战案例,最后延伸到Web安全、最新技术动向等方面。本书的特色为在讲解的同时,辅以大量生动形象的通信图例,更好地帮助读者深刻理解HTTP通信过程中客户端与服务器之间的交互情况。读者可通过本书快速了解并掌握HTTP协议的基础,前端工程师分析抓包数据,后......一起来看看 《图解HTTP》 这本书的介绍吧!

随机密码生成器
随机密码生成器

多种字符组合密码

UNIX 时间戳转换
UNIX 时间戳转换

UNIX 时间戳转换

HEX HSV 转换工具
HEX HSV 转换工具

HEX HSV 互换工具