Discover and read the best of Twitter Threads about #Sir

Most recents (4)

Ayasofya bir Camii olmakla birlikte,
islam Kültürünün biraktigi bir Emanettir

iktidar istese de istemese de,
Emanet sahipleri Ayasofya'nin acilisini yapacaktir
ve Kurulus amacina uygun olarak ibadete acilacaktir.

Tarihsel Gercek
Gercek Tarih Mozaiklerde saklidir

#AyasofyaCamii Image
2-
Tüm siyasilerden/Siyasetten/ideolojilerden bagimsiz olarak,
Dinlisine-Dinsizine
Hayirlisina-Hayirsizina
inananlara-inanmayanlara
HERKESE Hayirli Ugurlu olsun..#Ayasofya
...
Ayasofya,
Bir Camii'den Cok daha fazlasidir

Bu yüzden #HERKESE Hayirli/Faydali olsun diyoruz..
3-
Fazla ayrintiya girmeden,
Ayasofya ve bazi seylerin NEDEN önemli ve Faydali oldugunu/Olacagini anlatmaya calisalim.
...
#Dünya'mizin kendine has
#Dogal bir gücü ve #Enerji'si vardir.

Dünyamizi,
Her anlamda/Her seyi ile YASAYAN Canli bir organizma gibi düsünebilirsiniz.. Image
Read 31 tweets
Really proud of our new paper! inet.ox.ac.uk/files/Pichler-…

We design a brand-new economic model to capture the complexity effects induced by the #COVID19 pandemic, and look for a sweet spot between economic boost and epidemic risk while reopening the economy.

A thread 👇 1/N
Rather than building yet another #SIR model, we use survey data collected by epidemiologists and simply estimate how different activities could affect R0 in the early stage of the epidemic. 2/N
Let’s start with our main result: if all non consumer-facing industries reopen, schools are open only for workers who need childcare, and everyone who can work from home continues to #WorkFromHome, we get a boost in economic output while keeping the epidemic under control. 3/N
Read 14 tweets
El modelo #SIR fue propuesto por Kermack y McKendrick (1927, 1933). Bajo este modelo, cada individuo de una población (en un principio, homogénea) va pasando por tres compartimentos: susceptibles, infectados y recuperados.

La curva de los infectados (en rojo) en LA #CURVA.
El coeficiente de transmisión representa, a grosso modo, a cuántos contagia cada uno de los infectados, es decir, de él depende el apuntamiento de la curva.

Cuanto más alto sea dicho coeficiente, más explosiva es la enfermedad.
Piénsalo bien: el coeficiente de transmisión está en nuestras manos. Si seguimos saliendo de casa, seremos cómplices de ese bicho infame.

Nuestro sistema sanitario tiene una capacidad. Cuando el número de enfermos la supera, el desastre está asegurado.
Read 8 tweets
(1/) The @imperialcollege study by @MRC_Outbreak on #COVID19 is incredibly important. You should read it. How do their approaches and conclusions for the US compare to mine? tl;dr: they are very similar. More detail in the thread.
(2/) Comparing charts for overall deaths from their model and mine, you'll see that the Imperial College model finds that we stop adding significant numbers to the death count by mid July. My model puts that around June. Total Deaths - IC: 2.2M, My forecast: 1.2M
(3/) Without govt intervention: The IC study finds US cases peak in mid-May. My model peaks in late April.
Read 12 tweets

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