2019-wuhan-coronavirus-data

The parent seeks to convey the zeitgeist irrational emotional response of the populace to alternate perspectives during the COVID era and to my mind does so successfully. As someone who not only mapped the rise of COVID for Wikipedia before it was mainstream media acknowledged in January 2020 - https://github.com/globalcitizen/2019-wuhan-coronavirus-data - but also had the unique fortune of experiencing (catching) COVID in all of China, Australia and the US, while all countries had irrational response I would classify Australian social paranoia as some of the worst. Absolutely, people were being shamed and attacked and removed from society, employment, etc. if they did not have vaccinations or refused to wear masks. While all countries had irrational response, Australia's was certainly "up there". Furthermore, they turned the whole countr

Maybe they're pissed off that, during COVID, the world turned to https://coronavirus.jhu.edu/data Now that's up and CDC and every other nation has one too. Fun fact: before they got going I already had open source visualizations being regularly delivered to Wikipedia Commons from https://github.com/globalcitizen/2019-wuhan-coronavirus-data

Aggregating virus spread data to visualize for Wikipedia. Hacky but working. https://github.com/globalcitizen/2019-wuhan-coronavirus-data... Increasing food safety and security plus availability and choice in urban environments using robotics to automate food preparation and software to manage operations and logistics. Hopefully also make money. Differences from web stuff: includes embedded, mobile, electronics design, mechanical design, fabrication, business, cross-border operations, food safety regulations, etc.

Absolutely. It's marketing bullshit. Nobody has current figures. In fact, multiple specialist academics said ~3 days ago that only 5% of cases are confirmed, now may be less due to reports of equipment shortages, the additional time the virus has had to disperse geographically, and Chinese New Year. Therefore, we can multiply any official figures by 20x. Official figures are nearing 5,000 cases, which extrapolating from those estimates means we're at around 100,000 infections as of today. Source: I wrote and am maintaining an animated map of the domestic spread (the one on Wikipedia), over here: https://github.com/globalcitizen/2019-wuhan-coronavirus-data... .. powered by two scrapers, main one is from DXY, which is ahead of this 'real time' map by many hours, judging by total figures.

Here is a map I made of the spread yesterday (only). https://github.com/globalcitizen/2019-wuhan-coronavirus-data... While making it, I was watching the numbers quite closely. An observation I made is that the official statistics were ~900 officially confirmed cases on the 24th evening, ~1200 officially confirmed cases 25th (morning), yet only 1300 officially confirmed cases on the 25th (evening). Why ~50% jump then nothing? All previous figures had followed this hyperbolic path. A few possible reasons (conjecture): overwhelmed doctors, possible low level bureaucratic pressures not to report or admit new cases, people dying at home, undiagnosed infections, geographic spread and Chinese New Year resulting in slower diagnosis. All we can really take from this is that clearly the official statistics are only part of the story. In terms of th

Today hacked together some scraped data with basic visualization at https://github.com/globalcitizen/2019-wuhan-coronavirus-data... ... contributions welcome I'm about off to bed.