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World_mortality Alternatives
Similar projects and alternatives to world_mortality
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covid-19-excess-deaths-tracker
Source code and data for The Economist's covid-19 excess deaths tracker
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covid-19-the-economist-global-excess-deaths-model
The Economist's model to estimate excess deaths to the covid-19 pandemic
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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ObservedDeathVisualizer
A tool for visualizing the CDC data for observed deaths.
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SonarLint
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better world_mortality alternative or higher similarity.
world_mortality reviews and mentions
Posts with mentions or reviews of world_mortality.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-15.
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The WHO admitted PCR tests yield false positives
Data is available for many countries on either a weekly or monthly basis: https://github.com/akarlinsky/world_mortality
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Turkey scraps mask requirement; reveals 92% of "Covid deaths" "were diagnosed with other illnesses earlier." [DailySabah, Mar 02]
Or did you want the source for the numbers? If so: World Mortality Dataset
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Well, when you say it like that....
We have weekly or monthly data for all of those at least through the end of 2020, and most of them more current than that. To see the raw data (including earlier years for comparison), go to https://github.com/akarlinsky/world_mortality
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Covid-19 may have killed nearly 3M in India, far more than official counts show
https://github.com/TheEconomist/covid-19-excess-deaths-track...
They get their data from the World Mortality Dataset (https://github.com/akarlinsky/world_mortality). They claim their modeled baselines fit a linear trend for year, to account for long-term increases or decreases in mortality, and a fixed effect for each week or month up to February 2020.
I haven't dug into the details of the methodology but it appears very sensible. Of course it's very dependent on overall mortality rates having been accurately reported to begin with.
If the Economist keeps this this chart going long enough, we should expect that in countries worst affected by covid, future mortality rates will fall below the expected baseline. The simple (if somewhat morbid) logic being that in those places the most vulnerable people will have already died.
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The Economist tracks excess deaths
India doesn't feature in the table in their article. It is not represented in their sources, the World Mortality Database[0], or the Human Mortality Database[1]. Yet they somehow estimated that India had 2.3 million excess deaths. Based on what, exactly?
- Coronavirus deaths are higher in Europe where vaccination coverage is low [OC]
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There is no pandemic. According to their own numbers, the virus has killed 0.2% of the population.
All countries that produce death statistics that include monthly or weekly are compiled here: https://github.com/akarlinsky/world_mortality
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This CDC report defines the unvaccinated as "unvaccinated <14 days receipt of first dose." So, if you die from the jab within 14 days of getting it, you're identified as unvaccinated in the statistics. How could this be considered anything but fraud?
The real numbers (actual number of deaths), as supplied by each country, are compiled at https://github.com/akarlinsky/world_mortality. If you read that page, it says where the data come from. This data only includes countries that provide timely, accurate data at the level of months or weeks.
This does not account for population growth rates. As you can see from https://www.macrotrends.net/countries/WLD/world/death-rate, the death rate has maintained the same trajectory at about .03% increase per year. Granted this site has a giant disclaimer that these are projections, but many other sites such as https://github.com/akarlinsky/world_mortality share these same info discrepancies. The general takeaway is "these are the numbers so far, but they may be different" lol.
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Almost 60% of people say their mental health has suffered significantly during the pandemic
As I said, they DO list mortality.org as well as https://github.com/akarlinsky/world_mortality as their data sources.
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A note from our sponsor - SonarLint
www.sonarlint.org | 20 Mar 2023
Stats
Basic world_mortality repo stats
33
268
8.2
4 days ago
akarlinsky/world_mortality is an open source project licensed under MIT License which is an OSI approved license.
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