Jeff Gilchrist Profile picture
Dec 10, 2022 27 tweets 9 min read Read on X
Toilets, wastewater COVID-19, RSV, and Influenza all increasing

This thread will be wastewater related, looking at new variants, levels, and what happens in the air after you flush that wastewater down the toilet with some cool video/graphics. 🧵1/ Image of aerosol plumes over a flushed toilet.
The wastewater levels in Ottawa, Canada are increasing for all measures ( ). RSV and Influenza A levels continue to increase which means even more pressure will be put on the hospitals that are already overwhelmed. 2/ covid.gilchrist.ca/Ottawa.html
Graphs showing increasing RSV and Influenza A wastewater levels in Ottawa, Canada
To make matters worse, COVID-19 levels have started increasing again. You can see in the graph that levels never actually returned to low levels but are on the rise again ( ). 3/ covid.gilchrist.ca/Ottawa.html
Graphs showing increasing COVID-19 wastewater levels in Ottawa, Canada
What might be making the difference now? New Omicron BQ based variants have rapidly been increasing in Ontario and as of 10 days ago already made up more than 40% of sequenced cases ( ). Graphs by @Mike_Honey_ 4/ app.powerbi.com/view?r=eyJrIjo…
Graph showing increasing levels of BQ.* variants in Ontario
The BQ.1 Typhon and BQ.1.1 Cerberus variants specifically have overtaken all the other circulating variants in Ontario and are much more immune evasive than previous variants. 5/ Graph showing increasing levels of BQ.1 and BQ.1.1 variants now dominant in Ontario
If wastewater levels are going up again it could be because more people are susceptible to this newer variant and is being more easily transmitted amongst people, even those that have been previously infected. 6/
Speaking of wastewater, a very cool study used lasers to actually see and measure the aerosol plumes that come out of toilets when you flush ( ). H/T: @yaneerbaryam 7/ nature.com/articles/s4159…
Image of aerosol plumes over a flushed toilet.
Aerosols can transmit infectious diseases including COVID-19, influenza and likely most respiratory viruses and even Strep bacteria has airborne spread ( ). H/T: @ELHopkins 8/thelancet.com/journals/lanmi…
When you flush a toilet, it releases plumes of tiny water aerosols into the air around you which can spread pathogens from human waste and expose people in public washrooms to contagious disease ( ). 9/ theconversation.com/toilets-spew-i…
Image of aerosol plume over a flushed toilet.
A typical commercial toilet generates a strong upward jet of air with velocities exceeding 2m/sec rapidly carrying particles up to 1.5m (5 feet) above the bowl within 8 seconds of the start of the flush which you can see in this video ( ). 10/
Toilet bowl water contaminated by feces can have pathogen concentrations that persist after dozens of flushes but it is still an open question as to how much of a transmission risk toilet aerosol plumes present. 11/
Particle size matters, the smaller aerosols can stay floating in the air for sometimes hours. Particles smaller than 5 microns can be breathed directly into your lower respiratory tract and those 6-12 microns can deposit in the upper airways ( ). 12/thelancet.com/journals/lanre…
The study measured a massive increase in particles smaller than 2.5 microns with most particles being less than 1 micron. 13/
Over the bowl (Loc 1 and 2 in diagram) particle counts increased more than 10x pre-flush rates and decreased afterwards, while 1.5m away from the bowl the particle count increase was lower but remained constant after flushing ( ). 14/ nature.com/articles/s4159…
Charts of aerosol particle size measurements from various locations.
While the visible aerosols in the video (5-10 microns) scatter more light from the lasers, they also captured the dimmer light scattered by smaller aerosols which found they move within the same envelope as the larger ones ( ). 15/ nature.com/articles/s4159…
Image showing small aerosol particles staying within plume with larger droplets fall quickly outside of plume.
Most interesting is they show large droplets follow ballistic trajectories, remain outside the aerosol plume envelope and drop quickly. Yet another blow to droplet theory being a significant contributor to transmission <darn laws of physics>. 16/
Closing the lid before flushing helps but does not completely eliminate plumes as there are still large gaps of space between the lid and the bowl when closed and many commercial toilets do not have lids at all. 17/
The researchers suggest that UV disinfection systems and better ventilation could help mitigate exposure to aerosol plumes in the bathroom. The next time you visit a public washroom, think of all the aerosolized human waste you are breathing in if you aren't wearing a mask... 18/
A lot of people have been saying to close the toilet lid first which doesn't stop the aerosols coming out and contaminates the underside of the lid that people touch as pointed out by this comment ( ). 19/
As @rnaguru points out, each pathogen is different, and so far studies haven't found much infectious COVID-19 particles in urine or feces so while the risk is not zero it may be very low. This may not be the case for other viruses/pathogens though ( ). 20/
But you will still want to wear your mask in public bathrooms to at least protect yourself from respiratory aerosols from the other people using the bathroom who may be infected (COVID, RSV, Influenza, etc...). 21/
It is not just breathing in aerosols released from flushing toilets that people need to worry about, but bacteria that gets deposited on your hands from hot-air hand dryers ( ). 22/ cnbc.com/2022/12/19/how…
Image showing person drying their hands using a hot air dryer in a bathroom
A study before the pandemic found that test plates exposed to bathroom air for 2 minutes with hand dryers off averaged < 1 bacteria colony while plates exposed to hand dryer air for 30 seconds averaged 18-60 colonies ( ). 23/journals.asm.org/doi/10.1128/AE…
When researchers swabbed the interior hand dryer nozzle, they found surfaces had minimal bacterial levels so they added HEPA filters to the hand dryers which reduced bacterial deposition by 4x. 24/
This implies the bacteria was coming from the bathroom air so just after washing your hands you get pathogens deposited on them right after again. 25/
Health experts recommended using paper towels to dry their hands instead and remind everyone that acquiring infection from direct contact with other people is much more likely than from drying your hands. 26/
This study found during contact tracing that someone got infected after using a shared bathroom 40 minutes after the index case left. A good example of it isn't just the people currently there in a public bathroom you need to worry about ( … ). 27/icjournal.org/DOIx.php?id=10…

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More from @jeffgilchrist

Jul 12
*** Ontario Virus Update | July 12 ***

Hospitalizations due to COVID have increased from 14 to 15 in the last update. Influenza hospitalizations dropped from 18 to 5 and RSV increased from 2 to 6. 🧵1/

#Ontario #Virus #COVID #Hospital #Wastewater 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.
While the "official" season for Flu and RSV is over, you might be surprised to learn that hospitalizations usually don't completely stop over the summer. 2/
Looking at age groups, children age 0-4 have the highest rate of hospitalization due to COVID, increasing since last update, followed by age 75+ which decreased and then age 65-74 which was stable. 3/ This multi-line graph tracks the weekly rate of hospital admissions per 100,000 population in Ontario across various age demographics. The visualization highlights shifting clinical trends over time, showing the weekly fluctuations and comparative hospital burden between different age categories ranging from infants to seniors aged 75 and older.
Read 13 tweets
Jul 1
*** Ontario Variant Update | July 01 ***

In Ontario, the XFG.* "Stratus" family regained the lead at 42% while the NB.1.8.1.* "Nimbus" variant family decreased to 33% of sequenced genomes from COVID tests. 🧵1/

#Ontario #COVID #Variant #Stratus #BA.3.2 #Cicada #Nimbus 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 increased to 19% but the low # of sequences means results are not very representative. 2/
Ontario released another month of sequencing data by age and we continue to see high ratios of Cicada in children with another 5 BA.3.2.* sequences out of 18 new child sequences ( ). 3/publichealthontario.ca/-/media/docume…
Read 24 tweets
Jun 30
*** Ontario Virus Update | June 30 ***

Hospitalizations due to COVID have increased from 9 to 18 in the last update. Influenza hospitalizations remained stable at 13 and RSV increased from 3 to 5 so not quite finished for the season yet for those two.🧵1/

#Ontario #Virus #COVID 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+ and 65-74 tied for having the highest rates of hospitalization due to COVID and both increased since last update. The only other age group with hospitalizations was 50-64, no children this past update. 2/ This multi-line graph tracks the weekly rate of hospital admissions per 100,000 population in Ontario across various age demographics. The visualization highlights shifting clinical trends over time, showing the weekly fluctuations and comparative hospital burden between different age categories ranging from infants to seniors aged 75 and older.
For this epidemiological year 2025/2026 so far, adults 75+ had the highest rate of COVID hospital admissions, followed by age 65-74 and then age 0-4 in third place. Young children 0-4 had hospitalization rates twice as high as fourth place group age 50-64. 3/ This side-by-side bar chart displays the rate of hospital admissions per 100,000 population in Ontario for the 2025/2026 year-to-date epidemiological year. The graph breaks down the data across six age groups, illustrating a clear progressive trend where hospital admission rates increase significantly with age, peaking sharply in the 75+ demographic except for children age 0-4 which have the third highest rate.
Read 12 tweets
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

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