Daily Bookmarks to GAVNet 01/08/2021

Where antibiotic resistance comes from

https://t.co/CULwpxEVBJ

#antibiotics #resistance #genomes #EvolutionaryHistory
Along with vaccine rollouts, the U.S. needs a National Hi-Fi Mask Initiative

https://t.co/oqInlLSJl2

#PandemicResponse #vaccines #masks #COVID19

More from GAVNet

Daily Bookmarks to GAVNet 02/12/2021

Quantum causal loops

https://t.co/emX8OxKPl0

#loops #quantum

Large-scale commodity farming accelerating climate change in the Amazon

https://t.co/v3gA7OTP9E

#ClimateChange #forest #farm

Collapsed glaciers increase Third Pole uncertainties: Downstream lakes may merge within a decade

https://t.co/huAma56KeB

#glacier #lakes #ClimateChange

From trash to treasure: Silicon waste finds new use in Li-ion batteries

https://t.co/TkxKFDQMC6

#batteries #treasure #silicon #trash

More from Science

JUST ONE PERSON—UK 🇬🇧 scientists think one immunocompromised person who cleared virus slowly & only partially wiped out an infection, leaving behind genetically-hardier viruses that rebound & learn how to survive better. That’s likely how #B117 started. 🧵 https://t.co/bMMjM8Hiuz


2) The leading hypothesis is that the new variant evolved within just one person, chronically infected with the virus for so long it was able to evolve into a new, more infectious form.

same thing happened in Boston in another immunocompromised person that was sick for 155 days.

3) What happened in Boston with one 45 year old man who was highly infectious for 155 days straight before he died... is exactly what scientists think happened in Kent, England that gave rise to #B117.


4) Doctors were shocked to find virus has evolved many different forms inside of this one immunocompromised man. 20 new mutations in one virus, akin to the #B117. This is possibly how #B1351 in South Africa 🇿🇦 and #P1 in Brazil 🇧🇷 also evolved.


5) “On its own, the appearance of a new variant in genomic databases doesn’t tell us much. “That’s just one genome amongst thousands every week. It wouldn’t necessarily stick out,” says Oliver Pybus, a professor of evolution and infectious disease at Oxford.
This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics


Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)

Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)

Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)

Basic Statistics Part 5: Means vs Medians, Is the “Average”

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