covid-19-excess-deaths-tracker
covid-19-data
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covid-19-excess-deaths-tracker | covid-19-data | |
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1,095 | 347 | |
641 | 6,987 | |
0.2% | 0.0% | |
9.5 | 0.0 | |
3 days ago | 23 days ago | |
R | ||
- | GNU General Public License v3.0 or later |
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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.
covid-19-excess-deaths-tracker
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Many excess deaths attributed to natural causes are uncounted Covid-19 deaths
The economist has been tracking this for a while: https://www.economist.com/graphic-detail/coronavirus-excess-...
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Children born, raised during lockdown developing language skills at slower rate
The claims about motorcycle deaths counting as covid deaths were what the deniers were spreading at the time.
We now look back at excess mortality to know how many extra people died: https://www.economist.com/graphic-detail/coronavirus-excess-...
- Äärmiselt huvitav: kas teatud vaktsiinid on kõrge suremuse põhjustajad aastal 2023?
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Pandemic age standardized excess mortality estimates per 100k
The economist has a detailed breakdown that might be easier to follow
- While the WHO officially registered 5.4 million COVID deaths in 2020 and 2021, its excess mortality data shows around 14.9 million people actually likely died due to the crisis over that period
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My dad needs a lung transplant but they won’t give him one unless he has two doses of the poison shot
Old/general tracker across several countries 2021: https://www.economist.com/graphic-detail/coronavirus-excess-deaths-tracker
- UK: Covid still significant as mortality rate jumps
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Woah.. Just had a thought- If there WAS actual CLEAR evidence vaccine saved lives and prevented bad outcomes on an age categorized basis, why would you even fact check a ''false claim'' by pointing to ''flaws'' in the logic-reasoning, why wouldn't you simply provide the counter-evidence?
Average of 16 years of life lost to covid: https://www.nature.com/articles/s41598-021-83040-3 Drop in life expectancy of nearly 2 years in the US: https://www.bmj.com/content/373/bmj.n1343 Countries with big outbreaks all have significantly increased mortality: https://www.cebm.net/covid-19/excess-mortality-across-countries-in-2020/ and https://www.economist.com/graphic-detail/coronavirus-excess-deaths-tracker US went from 2.85 million deaths to 3.35million deaths in one year: https://www.cdc.gov/mmwr/volumes/70/wr/mm7014e1.htm US has 5̶4̶0̶k̶+̶ ̶6̶3̶0̶k̶+̶ ̶7̶0̶0̶k̶+̶ 760k+ covid deaths with covid listed as the underlying cause on death certificates 90%+ of the time: https://www.cdc.gov/nchs/covid19/mortality-overview.htm Over 140,000 children have lost a caregiver due to covid19 in the US, 5+ million globally https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)01253-8/fulltext
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The COVID virus has mutated so much since 2019 that some experts say it should be renamed SARS-CoV-3
Might it be possible, just maybe, that the figures reported from other areas of the world are not quite accurate- either from lack of resources or willful manipulation of data? Here's an article from that renowned liberal bastion 'The Economist' about excess mortality rates worldwide: Excess mortality
- Cory Franklin and Robert Weinstein: Excess deaths in the US are rising at a shocking rate
covid-19-data
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Week 6 [Practice Problems] seven-day-average OUTPUT verification
The NY-Times github repository says that the data will no longer be updated after March 24, 2023. (https://github.com/nytimes/covid-19-data)
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CS50 Week 6 Practice Problems: Seven Day Averages
I am trying to do practice problems about 7 day averages according New York Times repository
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Where to Find Sources of Data for Analysis Purposes?
NYTimes Covid Data
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Fastest way to learn
Find blog articles and tutorials. Find sample datasets, like COVID data from NYT or order data from Instacart
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Pre-market brief
Latest Map and Case Count
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Brain has been effectively washed
Covid-19 wasn’t 1% mortality at the start of the pandemic, it was much higher, and today’s daily remains at a .85% mortality rate for today’s US cases only [1] [2]. As for your comparison, it remains today 9 times deadlier than the flu.
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Event-Driven Python on AWS
New York Times repository updated daily
- Pfizer's COVID-19 mRNA Product is 13-Times Less Effective at Preventing Infection With SARS-CoV-2 than Naturally Acquired Immunity! [Byram Bridle, Jul 20]
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[July 12] 535 Estimated Active Cases, Vaccinations per 100k
All data comes from the NYTimes COVID-19 github.
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Best method for relationship that changes over time?
I am looking at state level data in the USA and my dependent variable is a running COVID case tally at the state level (you can find it here: https://github.com/nytimes/covid-19-data/blob/master/us-states.csv).
What are some alternatives?
coronavirus-dashboard - Dashboard for tracking Coronavirus (COVID-19) across the UK
MaternalBound-Redux - A new version of MaternalBound, complete with New Controls and MSU-1 integration... And a lot more features!
covid-19-the-economist-global-excess-deaths-model - The Economist's model to estimate excess deaths to the covid-19 pandemic
nl-covid19-data-dashboard - The dashboard provides information on the outbreak and prevalence of COVID-19 in The Netherlands
covid-19-data - Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
Cartopy - Cartopy - a cartographic python library with matplotlib support
1-pixel-wealth
stata-scheme-modern - Better default plots in Stata
find3 - High-precision indoor positioning framework, version 3.
world_mortality - World Mortality Dataset: international data on all-cause mortality.
covid19-event-risk-planner - COVID19 risk planner R-Shiny application