Discover and read the best of Twitter Threads about #coronavirus2020
Most recents (2)
The latest installment in #LatsCovid19Journal by yours truly, @DavidLat aka #CoronaBoy:
"How To Be A Good Patient."
#Coronavirus #Coronavirus2020 #healthcare #HealthcareHeroes #Covid19 #Covid_19
"How To Be A Good Patient."
#Coronavirus #Coronavirus2020 #healthcare #HealthcareHeroes #Covid19 #Covid_19
I'll use this acronym (partly because I could really use some Percocet right now for rib-cage pain from my cough): PERCOS.
#LatsCovid19Journal #Coronavirus #CoronaVirus2020 #healthcare #HealthcareHeroes #Covid19 #Covid_19
#LatsCovid19Journal #Coronavirus #CoronaVirus2020 #healthcare #HealthcareHeroes #Covid19 #Covid_19
"P" stands for "Positive." It's a cliche, but true: much of life comes down to your attitude. You can be positive (or at least stoic), or you can complain constantly. What's better?
#Coronavirus #Cornavirus2020 #Covid19 #Covid_19 #LatsCovid19Journal
#Coronavirus #Cornavirus2020 #Covid19 #Covid_19 #LatsCovid19Journal
1/ Thread on how real is #coronavirus2020 threat.
Amid all the chaos, there is a certain section of people who believe the coronavirus threat is amplified and not a cause of worry.
#CoronaVirusUpdate
#CoronavirusOutbreakindia
#IndiaFightsCorona
#Corona
Amid all the chaos, there is a certain section of people who believe the coronavirus threat is amplified and not a cause of worry.
#CoronaVirusUpdate
#CoronavirusOutbreakindia
#IndiaFightsCorona
#Corona
2/They correlated the number of deaths with #coronavirus to diseases like common flu, etc arguing that it is not as serious as it is being shown.
The most important factor they didn't consider is the virality of a disease and network effects as its consequences.
The most important factor they didn't consider is the virality of a disease and network effects as its consequences.
3/ To understand the virality of a disease, R0 is an important factor to consider.
R0 tells how many additional cases of a disease each infected person will cause during their infectious period.
R0 tells how many additional cases of a disease each infected person will cause during their infectious period.
