covid-policy-tracker VS COVID-19

daraus wird dann irgendwie dieser Index berechnet. Bzw wie genau, kannst du hier nachlesen: https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/index_methodology.md

Tässä muuttujat: https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/codebook.md

For interpreting the values and codes: 1. Read https://github.com/OxCGRT/covid-policy-tracker 2. Codebook - https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/codebook.md#economic-policies

Way too complex of a situation to simplify down to a single number. Especially since it's still really hard to say which measures were the most effective one. Just check the authors formula for it ( https://github.com/OxCGRT/covid-policy-tracker/blob/master/documentation/index_methodology.md )

Oxford Covid-19 Government Response Tracker.

Data published by: COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University Link: https://github.com/CSSEGISandData/COVID-19

I'm checking the statistics regarding new covid cases and was surprised (not in a good way) that there is a sudden increase of new cases based on JHU CSSE COVID-19 Datastatistics

Source: JHU CSSE COVID-19 Data

As far as I understand, the datasets can be found on GitHub: https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports

Sources: https://www2.census.gov/programs-surveys/popest/datasets/2010-2020/counties/asrh/ https://github.com/CSSEGISandData/COVID-19 https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VOQCHQ http://www.healthdata.org/us-health/data-download https://www.countyhealthrankings.org/app/alabama/2022/downloads https://raw.githubusercontent.com/camillol/cs424p3/master/data/Population-Density%20By%20County.csv

(data source)

Fonte: https://github.com/CSSEGISandData/COVID-19

I'll also note that despite making claims about the Philippine Statistics Authority's data, they elected not to provide a link to said data. So I tried to figure out what data set they were using - they were comparing "cumulative excess deaths" to "cumulative total vaccine doses", but their graph is cut-off and the right label is missing. Since they're defining excess deaths as "the number of deaths that occurred as a result of the COVID-19 crisis", it's inherently faulty to compare these two - and it makes later statements internally inconsistent, such as "Something is causing the sudden deaths of thousands of Filipinos starting March 2021", because they've defined the something -it's COVID-19! (Source is the Johns Hopkins university COVID-19 data repository, which is publicly available and which I, unlike these scammers, am happy to provide). The entire argument completely falls apart, and it becomes similar to this topic, where they're just counting vaccinated people who died as "possibly because of the COVID vaccine" with absolutely no substantiation.