Assistant Professor at UTHouston. Epidemiologist applying genomics, bioinformatics, and molecular micro to understand how antimicrobial resistance transmits
I have signed this petition because data transparency and availability are critical to our public health preparedness actions during this pandemic. Please join us in asking lawmakers to return data collection responsibilities to the CDC. Sign and RT please #ImWithCDC#COVID19
Sign & share these petitions with the #imwithCDC hashtag and say why! @CenterOfDisease#ImWithCDC because they’ve led us through numerous national public health threats with data-driven solutions
Public petition: https://t.co/HomfJL2fHI
A good @HoustonChron article discussing infectious disease modeling from the @UTexasSPH Dean that was used in deciding to implement Houston's stay-at-home order for #COVID19 https://t.co/BdDckBHm9X
A colleague of mine has an excellent writeup with figures showing the different age distributions between South Korea and Italy https://t.co/DY3GlgFwLr
I got an excellent question from @504inHouston1, asking how scientists are accounting for the differences in mortality rates between countries. This is a question a large number of researchers are attempting to answer, including here at @UTHealth
Italy has an overall mortality rate of roughly 7.2, with the largest proportion of individuals with infections occurring in the 70-79 age-range and the 80-89 age-range
congratulations to our newest postdoc, @KosherScientist, she just received a competative fellowship as a part of the @UTHealth Translational Sciences TL1 program!
@504inHouston1 A colleague of mine has an excellent blog with figures showing the different age distributions between South Korea and Italy https://t.co/DY3GlgFwLr
As an infectious disease epidemiologist with expertise in the emergence, transmission, and colonization of fungal, bacterial, and viral pathogens, I’ve been following #COVID19 very closely
@504inHouston1 Italy has an overall mortality rate of roughly 7.2, with the largest proportion of individuals with infections occurring in the 70-79 age-range and the 80-89 age-range.
@504inHouston1 South Korea has an overall mortality rate of roughly 0.6%, with the largest proportion of infections occurring in the 20-29 year age-range and most infections are in individuals under 60.
@504inHouston1 One of the things that has the largest impact on mortality rates across different countries is the age of people getting infected. We know that the mortality rate increases with age, i.e. older members of the population have higher rates of mortality
@504inHouston1 Right now, epidemiologists and physicians are focusing most on who is getting infected. In other words, how old is the person is, whether they have other medical conditions, such as diabetes or heart disease, or whether they are considered healthy
@504inHouston1 There are a number of different things that can impact the estimates of mortality rates, some of which are based on how we define a case of COVID-19 (diagnostic test vs just have symptoms), some are based on access to healthcare, and some are based on who is getting infected.
@504inHouston1 This is an excellent question and one a large number of researchers are attempting to answer, including here at the University of Texas Health Sciences Center.
Slowing down the rate of transmission and limiting the number of individuals with an infection at the same time is critical to avoid overwhelming our healthcare system and making sure sick people can get treatment.
I’ve been getting so many great questions from students, friends, and family I thought this was a great opportunity to start tweeting about the concepts I am discussing with my students and why #SocialDistancing and #Quarantine are being implemented
A population that has never been exposed to a new pathogen such as #SARSCoV2 does not have any immunity to the infection, meaning everyone is can get the disease if exposed.