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Mahmudur Rahman, PhD Profile picture
@mahmudme01
Mar 3, 2022 • 10 tweets • 3 min read • Read on X
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After vaccine rollout in USA, the younger age group suffered (especially 25-44 yrs) more than the older age group. The younger age group survived better during the last winter wave, however, in the summer wave (2021) they died at a higher rate.
Data: data.cdc.gov/NCHS/Weekly-Co… ImageImage
It could also be possible that the summer and winter impacted differently on different age groups.
This is from Florida. Clearly, the younger age group had a very bad summer wave. ImageImage
This is from California. Image
This is from New York. Image
Washington state Image
Colorado. Higher death in the lower age group in the recent surge. Image
Mississippi. Same pattern as Florida. Image
North Carolina Image
New Mexico. Image

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More from @mahmudme01

Mahmudur Rahman, PhD Profile picture
May 31, 2022
Previously I showed that cases are growing faster in highly vaccinated (fully vaxd) counties in recent days. Here, you can see that correlation is very similar for booster dosed percentage. That means, counties with higher booster dose percentages have higher caseload.
This plot tells me that areas, where more people remained double dosed without boosters, are more likely to spread the virus.
so far positive correlation
-with fully vaxd %
-with booster dose %
-with fully vaxd without booster dose %
The population of booster dose percentage is relatively higher in California. Case and booster dose map match quite well!
Read 5 tweets
Mahmudur Rahman, PhD Profile picture
May 28, 2022
COVID trend in US Metro areas compared to COVID trend in New York and New Jersey metro areas. Each dot represents COVID cases in one week per 100K people. Image
COVID cases in North Dakota, South Dakota, Wyoming, and Montana metro areas (counties) compared to US metro areas. Image
California Image
Read 5 tweets
Mahmudur Rahman, PhD Profile picture
Apr 29, 2022
I am thinking to quit covid tweet (or minimally active). We are in the phase that there are never ending arguments.

For example, vaccinated someone got COVID and subsequently got heart disease. Science folks will tell you that vaccine saved that person from death.
For example, highly vaccinated areas are getting COVID at a higher rate compared to unvaxd areas within a certain locality. Imagine 72 high level people got COVID from DC dinner (one single gathering). Is there any such incidence before vaccination?
But if you look at individual level, unvaxd COVID rate could be higher. Say (hypothetical example), 200 people attended that dinner while 15 were unvaxd. Perhaps, 12 unvaxd got COVID while rest are vaxd. If you divide each COVID # by population, you will see unvax rate is higher.
Read 11 tweets
Mahmudur Rahman, PhD Profile picture
Apr 20, 2022
Case surge is driven by vaccination. USA is currently experiencing a case surge almost in every state. Here, you can see last 7 days' cases are positively correlated with the vaccination rate. It is more obvious in Metro areas.
This is supported by Walgreen's positivity report by vaccination status. If you are vaccinated, you should be scared. If you are unvaccinated but live in highly vaccinated areas, you should be scared too.
You cannot expect this type of correlation when multivariable factors are in effect such as climate differences (one of the important variables). Despite those multivariable effects, the correlation tells something important.
Read 7 tweets
Mahmudur Rahman, PhD Profile picture
Apr 19, 2022
Some people think that the situation regarding vaccination has changed since Omicron. This is not true. It happened from the very beginning. Back then, it happened for partially vaxd and now people have taken many doses where so-called breakthrough cases are seen.
Another factor here. In earlier times there was much emphasis on vaccine effectiveness. Here, you can see from raw data that vaccine is clearly doing bad job after first dose, but VE shows quite a high number: 31.8%. It should be -ve. How it became +ve and a quite high number?
They did some adjustments (see AOR: Adjusted odd ratio). Only experts are eligible to do that! It's been more than 2 years now, still, I do not understand how this adjustment can be made unless you make up your own assumption. Perhaps they believe that vax people are risk group.
Read 8 tweets
Mahmudur Rahman, PhD Profile picture
Apr 13, 2022
Unfortunately, I am the only person who is talking about the virus favorable climate. It is the climate at which the virus replicates faster and can make people more sick. The weather has nothing to do with the virus, rather weather plays role in how virus invades the cells.
Once we would know how exactly weather plays role in cell membrane fusion process, we would know how vaccine effectiveness and vaccine side effects differ based on climate. We would know when & how mask works. We would know why lockdown is better sometimes while worse other times
I had good intentions to get answers to all those questions, to get a better understanding of the cell membrane fusion process from the evidence of liquid interface merging. But the door is closed for me because of the vaccine mandate.
Read 4 tweets

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