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Godla(j)k 🐽 Profile picture
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5 Oct, 6 tweets, 3 min read
Excès mortalité 2021 vs 2010-2020 en France
via @HMDatabase
@HMDatabase Excès mortalité 2021 en France
Ventilation par classes d'âge
85+
@HMDatabase Déficit mortalité en 2021 en France: 74-85
@HMDatabase Excès mortalité 2021 en France: 65-74
@HMDatabase Déficit mortalité 2021 en France: 15-64
@HMDatabase Déficit avec pointes excès mortalité 2021 en France: 0-14

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More from @godlak_1

Godla(j)k 🐽 Profile picture
6 Oct
Here is the official list of #CovidVaccines manufacturers (and hence types) by country (217 locations):
ourworldindata.org/covid-vaccinat…
Here, after clicking on TABLE then DOWNLOAD, you can get the # of doses by #CovidVaccines main manufacturers injected by country
ourworldindata.org/covid-vaccinat…
This is how the shares of #CovidVaccines by manufacturer and by available country looks like on 01oct2021
#COVID19 Image
Read 11 tweets
Godla(j)k 🐽 Profile picture
4 Oct
tadam!
retour du nudge mortalité c-19
tautologie
deces vaxx non comptabilisé c-19...
il faut donc les deces et exces mortalité toute cause pour voir 🙈
on notera, comme d'habitude (sic), la discordance entre:
- les données vaxx (dernière date connue)
- les données décès "avec" c-19 (moyenne dernière semaine)
[et comme par hasard plus on va à l'est plus l'automne est précoce...]
du coup voyons voir France (FRA) vs Ukraine (UKR) avec les données owid de ce jour (n.b. données hospi. n.d.):
quelle surprise !
courbe "tests" et donc "positifs" en chute libre en FRA => courbes hospi. et décès suivent
tout le contraire en UKR
#CQFD
#Covid_19 #COVID19 ImageImage
Read 10 tweets
Godla(j)k 🐽 Profile picture
2 May
tej wiara:)
co nam pokaza wyniki sondazy z FB na temat koronasytuacji?
dane: covidmap.umd.edu, detale: ojs.ub.uni-konstanz.de/srm/article/vi…
koronadane z covid.ourworldindata.org
jedziemy!
#koronawirus #Polska #COVID19 #thread
(tu podobny watek dot. Francji: )
1/n
Mycie nog zycia wrog a maseczki i mycie rak przestaja dzialac na jesien/zime
kto by pomyslal :p
#koronawirus #Polska #COVID19
2/n
(chcesz wiecej => t.me/chrisgodlak)
to szczegolnie przestanie lazenia po barach knajpach itp powoduje wzrost %pcr+ na jesien zime jak widac ;)
#koronawirus #Polska #COVID19
3/n
 (sprawdz mnie: t.me/chrisgodlak)
Read 8 tweets
Godla(j)k 🐽 Profile picture
1 May
Masks & washing hands stop working in fall/winter for #COVID19 in #France

#covid19france

(data from covidmap.umd.edu, it's survey data from Facebook users, more details: ojs.ub.uni-konstanz.de/srm/article/vi…)

[t.me/chrisgodlak] Image
essential shoping (shops, groceries, pharmacies...) and "positivity" rate are two distinct and separate process :p

#COVID19 #covid19france #France

[t.me/chrisgodlak] Image
actually reducing attendance to events with more than 10 people increases %pcr+ :D

#COVID19 #covid19france #France

[t.me/chrisgodlak] Image
Read 9 tweets
Godla(j)k 🐽 Profile picture
30 Jan
#thread follow up to previous thread below
i repeat the same excercise with positivity rate instead of reproduction rate vs stringency index by adding country, week and both effects in the panel regressions
#COVID19
1/n
the graphs:
(notice higher positive rate when stringency stronger)
benchmark: within R² = 5.82%
+country dummies: same
+week dummies = 47.36% (~ x 100 w/r benchmark)
+country & week dum. = as above
again "seasonality" explains most of what is going on in the data
#COVID19
2/n
and so again one can ask if they #lockdown during colder seasons and this makes actually things worse ?
#COVID19
3/3
Read 5 tweets
Godla(j)k 🐽 Profile picture
30 Jan
#thread
Following recent success of this thread (thanks @FatEmperor i guess :)just wanted to get back to this
i will just take the first graph as exemple: it's reproduction rate vs stringency index
panel (country-time in days) regression with random effects
#COVID19
1/n
i put the initial graph as "benchmark" and i add 3 other graphs
panel regression with random effects
with countries dummies included
with weeks dummies included
with countries & weeks dummies included
and we will compare the R² as these are the only changing in this excercise
2/n
in panel regression what is most important is the R² within
adding country effects changes nothing
adding weeks (i.e. time trend or "seasonality" in this context) increases a lot the R² within (~ x100)
adding countries & weeks => same results as with weeks added only
3/n
Read 6 tweets

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