california-coronavirus-scrapers
Epidemiology101
Our great sponsors
| california-coronavirus-scrapers | Epidemiology101 | |
|---|---|---|
| 16 | 2 | |
| 56 | 277 | |
| - | 2.2% | |
| 9.9 | 5.6 | |
| 2 days ago | 14 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
california-coronavirus-scrapers
- Am I wrong- to pull the plug on a European vacation 6 weeks before- my travel partner requested I “behave like in pandemic lockdown”.
- California tops 12 million coronavirus cases as XBB.1.5 becomes dominant
-
9 months later: Boom! No births
Los Angeles Times: https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/
-
Trends in menstrual bleeding changes after SARS-CoV-2 vaccination
> Healthy young people under 50 or even 60 were not dying or getting hospitalized.
Lies, damn lies, and statistics.
https://www.latimes.com/projects/california-coronavirus-case...
By 35 and again by 50 your risk of death's increased. By 60 you're already seeing a disproportionately large amount of deaths.
- No grade posted
-
New Omicron subvariants in California bring new questions about coronavirus outlook
The case rate dipped 6% over the past week, from 15,800 new cases a day to 14,900, according to a Times analysis of state data released Tuesday. On a per capita basis, California is recording 266 coronavirus cases a week for every 100,000 residents. A weekly transmission rate of 100 cases or more per 100,000 is considered high.
-
Someone should tell Bill — Florida records 138,657 new COVID-19 cases in 2 weeks as hospitalizations increase by 24%
California COVID hospitalizations are up 41%. That's probably more relevant to him. Of course, we're still not distinguishing between "with" COVID and "because of" COVID" which is amazing to me at this point, but here we are. Either way, we've all sort of moved on.
- Is it safe to return to the office?
-
When they try and make fun of us while ironically admitting they are sheep.
*sources: Our World In Data: https://ourworldindata.org/coronavirus Centers for Disease Control and Prevention: https://covid.cdc.gov/covid-data-tracker/#datatracker-home World Health Organization (WHO): https://www.who.int/ European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases DXY.cn. Pneumonia. 2020. https://ncov.dxy.cn/ncovh5/view/pneumonia BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ WorldoMeters: https://www.worldometers.info/coronavirus/ 1Point3Arces: https://coronavirus.1point3acres.com/en COVID Tracking Project: https://covidtracking.com/data. (US Testing and Hospitalization Data) Los Angeles Times: https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/ The Mercury News: https://www.mercurynews.com/tag/coronavirus/
-
The cure cannot be worse than the problem. Let’s get back to normal.
There have been 1207 deaths in California due to Covid for ages 18–34 [https://www.latimes.com/projects/california-coronavirus-cases-tracking-outbreak/]
Epidemiology101
-
Show HN: What Are You Working On?
Trying to put the finishing touches on a Python package [1] for epidemic modeling using Compartmental models. This grew out of a series of blog posts I started writing during the pandemic [2] based on my professional experience in epidemic modeling in a previous life where I was the lead developer for a state of the art global epidemic model [3].
[1] http://github.com/DataForScience/epidemik
[2] https://github.com/DataForScience/Epidemiology101
[3] https://www.gleamviz.org/explore.html
-
AI outperforms conventional weather forecasting for the first time: Google study
No worries, Google does tend to do a good job of monopolizing attention in whatever they do and Epidemic Modeling is... complicated. Probably much more complicated than pretty much any other kind of modeling since people have the bad habit of thinking and acting in whatever way they want (sometimes with the explicit purpose of breaking your model :).
Now, if you want to see the real-world state-of-the-art epidemic modeling on a global scale, checkout GLEaM/GLEaMViz https://www.gleamviz.org/ (full disclaimer, in a previous life I was the lead developer).
And if you're interested in a basic intro, you can also checkout my (somewhat neglected) series of blog posts from the pandemic days: https://github.com/DataForScience/Epidemiology101
What are some alternatives?
covid19-severity-prediction - Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈
covid-19 - Coronavirus COVID-19 Dashboard - Global Kaggle Data
newsapi - webscraping api which gets news from different websites and display as a api
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
airscraper - Airtable backup script package
covid_project - Data analysis project on a COVID-19 data set provided by Our World in Data
altair-latimes - A Los Angeles Times theme for Python's Altair statistical visualization library
lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
open-source-communication-channel - Guides, best practices, templates, and discussions for the WHO open source community
covid19-sir - CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
covid-19-data - Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.