Jeff Gilchrist Profile picture
Jan 23, 2023 42 tweets 13 min read Read on X
Real life example of impact from COVID infection and why we need clean air

@ahandvanish taught a grad course on generative music at NYU, works with machine learning, data sonification (auditory equivalent of data visualization), and more ( hannahishere.com/about-me/ ). 🧵1/ Photo of Hannah Davis. Imag...
An unrolled one-page web view for this long thread that may be easier to read or share can be found here ( ). 2/
Hannah Davis was recognized by Time Magazine as one of the 100 rising stars from across industries and around the world for 2022 ( time.com/collection/tim… ). 3.
@ahandvanish was also brave enough to share her real-life experience of COVID infection that drastically impacted her processing speed ( ). 4/
She happened to have done some neuro testing just before her COVID infection where she scored being faster than 96% of people. 5/
After her COVID infection, she started having brain issues and decided to redo the test again where she found out her processing speed had dropped from top 96% of people down to only faster than 14% of people. 6/ Graph showing processing sp...
Hannah explains in her thread how low processing speed affects everything from basic communication with people (talking, texting) not only in how long it takes but how much information you understand about what you are reading/hearing. 7/
This unfortunately makes relationships harder to maintain. She goes on to describe how actions that require you to make fast decisions such as driving are much scarier or often not possible to do at all. 8/
Even common sense decision making is related to processing speed and can be difficult. 9/
Processing speed also impacts memory by limiting how fast you can register memories and emotional awareness in how long it takes to know how you are feeling. Low processing speed ultimately impacts identity in a serious way. 10/
"Processing speed impacts how much you can hold in your head, how you weave the world together and make sense of it, the thoughts that come up when you think about the people, places, ideas that you love. It turns those processes into just a void, a blank wall." 11/
Hannah Davis wants people to understand what can happen after you become infected with COVID and how much #LongCOVID can change you, potentially permanently. This is not just a "mild" virus and should not be treated as such. 12/
Long COVID is not just happening to her or a small number of people, but it is estimated that at least 65 million people worldwide have Long COVID with cases increasing daily. 13/
Hannah Davis and others have put together and published major findings, mechanisms and recommendations on the subject ( nature.com/articles/s4157… ). 14/
This is why it is so important that we improve the infrastructure to provide clean air like we did for water to end the cholera epidemics two centuries ago ( thetyee.ca/Analysis/2023/… ). 15/
Unfortunately we can't easily see how dirty the air is and in many locations including schools and workplaces but if you could see the air in some places, it would look more like the left glass of water compared to the right glass of water ( ). 16/
Would you drink the glass of water on the left? If not, why are you still breathing in dirty air in poorly ventilated indoor spaces? 17/ Image of glass on the left ...
If spaces are not being regularly tested and monitored, you may have no idea how clean (or not) the air is that you are constantly breathing in or if equipment is actually functioning properly. 18/
For example, look at these two Corsi-Rosenthal (CR) boxes and how dirty the filters got in a school after 7 months despite have windows open 95% of the time and CO2 levels below 1200 ppm ( ). 19/ Image of two Corsi-Rosentha...
They were still removing that much crap from the air that otherwise would have been breathed in by our children and the teacher. 20/
Do you commute to work using the subway? Check out how dirty the filter on this respirator got (compared to the brand new clean one beside) after a few months taking the subway 2-3 times a week ( ). 21/ Image of a Prescient-X Brea...
People not wearing a respirator are all breathing this into their lungs every day they commute. 22/
We breathe so much more air (11,000L) than we drink water (4L) or consume food (2L) every day so it is even more important that we ensure we are breathing in clean air ( nasa.gov/mission_pages/… ). 23/
This image really helps you understand the relative difference in the amount ( ). 24/ Graphical representation of...
Did you know if you measure the amount of CO2 in an indoor space you can actually calculate how much of other people's exhaled breath you are breathing in? This handy calculate will help you ( docs.google.com/spreadsheets/d… ). 25/
I have seen some school classrooms measure higher than 3,000 ppm of CO2 which means all of those children are breathing in 28.3 liters of other people's breath every hour! 26/
Can you imagine yourself or your child breathing in the equivalent of 14 bottles of pop full of other people's air backwash every hour? 27/ Image of a 2L bottle of pop...
If you think it too hard to upgrade the infrastructure in current schools and buildings, Engineers are up for the challenge. They raised entire cities (Chicago, Seattle) almost 175 years ago to combat harmful pathogens ( ). 28/
Would improving ventilation actually help? A study in Italy actually found classrooms equipped with mechanical ventilation systems decreased the relative risk of COVID infection by at least 74% compared to classrooms with only natural ventilation ( frontiersin.org/articles/10.33… ). 29/ Graph comparison between th...
For classrooms that were able to obtain higher than ventilation rates greater than 10L per second per student, risk of infection decreased even further to at least 80% lower. 30/
Cleaner air not only reduces the risk from COVID infection but all other viruses that transmit in aerosols through the air like influenza and other respiratory viruses. Click "Show replies" 👇 to continue. 31/
This is important as there have also been links found with other viruses that significantly increased the risk of neurodegenerative disease ( cell.com/neuron/fulltex… ). H/T: @DFisman 32/ Graphical summary of hazard...
Even influenza with pneumonia was significantly associated with five of the six neurodegenerative diseases studied and some exposures were associated with an increased risk of neurodegeneration up to 15 years after infection. 33/
Are you sure you want to keep getting infected by multiple viruses each year if you don't have to? 34/
Remember, as we saw above, clean indoor air isn't just about COVID, but it can help protect against other pathogens and air pollutants linked to various health problems which you can learn more about here ( ). 35/
Ventilation is also important when cooking as harmful particulate matter (PM) particles can be generated and breathed in so please remember to turn on your kitchen fan when cooking if you have one. 36/
I was able to measure PM2.5 particle levels were 10x higher when I was frying vegetables on my induction stove with the range hood fan turned off using a CO2.click Model E IAQ monitor that was 7.6m (25 feet) away in our family room ( co2.click/ecommerce/en/M… ). 37/ Graph showing particulate m...
If you don't have a hood fan, a HEPA filter or Corsi-Rosenthal (CR) box may help reduce PM in your kitchen as well. You can learn how to build your own CR box here ( ). 38/
If you aren't sure how the filters in air cleaners or masks actually block viruses and other particles that are much smaller than the sizes of the holes in the filtering material, this thread explains *how* they do that ( ). 39/ Image visualizing the Relat...
If you want to read about another real-world example of the impact of COVID infection but this time from cardiovascular complications you can find that here ( ). 40/
The wealthy also believe it is important to clean the air of indoor spaces as they went out of their way to do for the recent WEF conference in Davos, Switzerland. The conference space before was not good enough so they upgraded it to be #DavosSafe ( ).41/
A real-world example of a young woman 28 years old disabled from the pandemic, infected in March 2020 before the vaccines were available with only a mild illness at first but then she never got better ( thetyee.ca/Analysis/2023/… ). 42/

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More from @jeffgilchrist

Jun 1
*** Ontario Virus Update | June 1 ***

Hospitalizations due to COVID have decreased from 38 to 21 in the last update. Influenza hospitalizations decreased from 51 to 44 and RSV decreased from 20 to 18 so moving in the right direction but still not finished for the season yet. 1/ This stacked bar chart displays weekly new hospitalizations in Ontario specifically attributed to COVID-19, Influenza, and RSV. The data tracks the fluctuating volume of patients over time, highlighting seasonal surges and the relative contribution of each respiratory virus to the overall healthcare burden.
Looking at age groups, those age 75+ had the highest rates of hospitalization due to COVID but decreased since last update. Tied for second place are the 0-4 and 65-74 age groups. 2/ This 100% stacked area chart illustrates the weekly proportion of COVID-19 hospital admissions per 100,000 population in Ontario across different age groups. The graph visualizes how the relative distribution of hospitalizations shifts over time among demographics ranging from infants to seniors aged 75 and older.
COVID case rates decreased across most age groups this past update except for age <1 which had a significant increase and almost matching the same levels as age 80+. The 1-4 and 60-79 age groups currently have the same rates. 3/ This multi-line graph tracks the weekly rate of COVID-19 cases per 100,000 population in Ontario, categorized by various age groups from infants to seniors aged 80 and older. The data trends highlight the fluctuations in infection rates across different demographics over the year.
Read 10 tweets
May 30
Filtering the air may help prevent your own infection from becoming more severe

If everyone in a household becomes infected with the same virus, does it help to isolate from each other and can you be a danger to yourself? Read on to find out...🧵1/

#AirQuality #IAQ #Ventilation This grouped bar chart, titled "COVID Positive Abnormal Chest CT by Air Quality Setting", displays the percentage of abnormal chest CT scans among COVID-positive patients across three different tiers of air quality control. The graph compares overall and asymptomatic cases, illustrating a clear downward trend in the percentage of abnormal scans as air filtration and ventilation efficiency improve from household levels to high-efficiency aerosol control.
An interesting hypothesis-generating study was published recently that asked if an infected person's condition can become even worse by re-inhaling their own virus particles ( ). 2/sciencedirect.com/science/articl…
Is a transition from a milder upper respiratory tract infection (runny nose, sore throat) to a more severe lower respiratory tract infection like pneumonia is significantly driven by the physical mechanism of inhaling virus containing aerosols deep into the lungs? 3/
Read 26 tweets
May 24
*** Ontario Virus Update | May 24 ***

Hospitalizations due to COVID have increased from 34 to 38 in the last update. Influenza hospitalizations decreased from 57 to 51 and RSV decreased from 33 to 20. 🧵1/

#Ontario #Virus #COVID #RSV #Influenza #Hospital This stacked bar chart displays weekly new hospitalizations in Ontario specifically attributed to COVID-19, Influenza, and RSV. The data tracks the fluctuating volume of patients over time, highlighting seasonal surges and the relative contribution of each respiratory virus to the overall healthcare burden.
Looking at age groups, those age 75+ had the highest rates of hospitalization due to COVID but decreased since last update. Second place is age 65-74 which increased, and third place is age 0-4 which also increased. 2/ This 100% stacked area chart illustrates the weekly proportion of COVID-19 hospital admissions per 100,000 population in Ontario across different age groups. The graph visualizes how the relative distribution of hospitalizations shifts over time among demographics ranging from infants to seniors aged 75 and older.
COVID case rates were fairly stable across age groups this past update except for age 80+ which had a significant decrease but still maintain the highest rates. The 0-4 and 60-79 age groups currently have similar rates. 3/ This multi-line graph tracks the weekly rate of COVID-19 cases per 100,000 population in Ontario, categorized by various age groups from infants to seniors aged 80 and older. The data trends highlight the fluctuations in infection rates across different demographics over the year.
Read 10 tweets
May 10
*** Ontario Variant Update | May 10 ***

In Ontario, the NB.1.8.1.* "Nimbus" variant family shot to 74.7% of sequenced genomes from COVID tests while the XFG.* "Stratus" family dropped to 15.8% and the BA.3.2 "Cicada" family decreased below 10% again.🧵1/
#Ontario #COVID #Variant This multi-line chart tracks the lineage frequency of various COVID-19 variant families in Ontario over time, based on sequenced genome samples. The graph illustrates the changing prevalence of specific variant families, showing how different lineages compete and evolve as the dominant strains within the province.
Ontario released another month of sequencing data by age and we continue to see high ratios of Cicada in children with another 51 BA.3.2.2.* sequences out of 617 new sequences ( ). 2/publichealthontario.ca/-/media/docume…
With 126 Cicada sequences from 1,828 total, we see children still have the highest proportion which decreases after age 5-11 as age increases with significant drops from age 60+. 3/ This bar chart illustrates the percentage of the BA.3.2.* Cicada COVID-19 variant lineage among different age groups in Ontario over a designated time period. The graph visualizes the relative prevalence of the lineage across demographics, highlighting how the variant is distributed from young children to seniors aged 80 and older.
Read 11 tweets
Apr 28
*** Ontario Variant Update | Apr 28 ***

There was some competition for variant dominance during the month of March but the NB.1.8.1.* "Nimbus" family currently holds first place with 49.5% while the XFG.* "Stratus" family sits at 38.1% of sequenced genomes from COVID tests. 🧵1/ This multi-line chart tracks the lineage frequency of various COVID-19 variant families in Ontario over time, based on sequenced genome samples. The graph illustrates the changing prevalence of specific variant families, showing how different lineages compete and evolve as the dominant strains within the province.
The BA.3.2 "Cicada" family has been slowing climbing and now above 10%. 2/
Looking at specific variants, RC.5 Nimbus currently holds first place at 13.4%, SH.1 Nimbus is a close second at 13.3%, RC.6 Nimbus is making a comeback at 11.3%, XFG.1.1.2 Stratus is at 8.2%, RT.2 Cicada at 7.2%, PQ.2.1 Nimbus at 5.2%, and RE.1.2 Cicada at 2.1%. 3/ This multi-line chart tracks the lineage frequency of emerging COVID-19 subvariants in Ontario over time, based on genomic sequencing data. The graph visualizes the shifting percentage of total cases represented by each specific lineage, highlighting the growth and competition of various viral strains.
Read 10 tweets
Apr 13
*** Ontario Virus & Variant Update | Apr 13 ***

Hospitalizations due to COVID have gone down from 153 to 123 in the last update. Influenza hospitalizations decreased from 59 to 47 and RSV decreased from 110 to 85. 🧵1/

#Ontario #Virus #Variant #COVID #RSV #Influenza #Hospital Graph of New hospitalizations in Ontario due to COVID, Influenza or RSV.
Looking at age groups, those age 75+ had the highest rates of hospitalization due to COVID but decreased since last update. Second place is age 0-4 and their levels are currently increasing while age 65-74 has the third highest rate and also decreased since last update. 2/ Graph of New hospitalization rate in Ontario due to COVID by age group (100% Stacked).
The youngest age group 0-4 currently have a hospitalization rate due to COVID that are 17x higher than age 5-17, 17x higher than age 18-49, and 2.8x higher than adults 50-64. 3/
Read 25 tweets

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