Overall, Covid-19 cases and hospitalizations are down in the United States, but much of that is from vaccinations. When you look at only those who are not vaccinated, the rates are still high in many areas of the country. Dan Keating and Leslie Shapiro for The Washington Post show the differences.
Tag Archives: coronavirus
The United States vaccination rate was rolling for a while there, but it has slowed down. Sema Sgaier for NYT Opinion talks about why that is, breaking it down to four general types of people who are hesitant or don’t plan on getting vaccinated:
After conducting a national survey of U.S. adults, we grouped people into distinct profiles based on their shared beliefs and barriers to getting the vaccine. This approach, borrowed from the marketing world, is called psychobehavioral segmentation. It will allow health officials to target their strategies in ways that ignore demographic categories, like age and race. In the United States, we used this approach to identify five distinct personas: the Enthusiasts, the Watchful, the Cost-Anxious, the System Distrusters and the Covid Skeptics.
The last two groups will be harder to convince, but for the watchful and cost-anxious, I hope they look at the numbers.
The risk of side effects is very low (especially when you compare to the everyday things we do to live), your risk of infection or hospitalization goes way down when you get vaccinated, and you don’t have to pay anything.
It was only a matter of time before someone showed dots moving across a map to show migration during the pandemic. Again, using USPS change of address data, Yan Wu and Luis Melgar for the Wall Street Journal (paywalled) showed where people moved in the country.
The CDC said that “less than 10 percent” of coronavirus cases were from outdoor transmissions. David Leonhardt for The New York Times argues why in all likelihood that number is way too high and leads to public confusion:
If you read the academic research that the C.D.C. has cited in defense of the 10 percent benchmark, you will notice something strange. A very large share of supposed cases of outdoor transmission have occurred in a single setting: construction sites in Singapore.
In one study, 95 of 10,926 worldwide instances of transmission are classified as outdoors; all 95 are from Singapore construction sites. In another study, four of 103 instances are classified as outdoors; again, all four are from Singapore construction sites.
This obviously doesn’t make much sense. It instead appears to be a misunderstanding that resembles the childhood game of telephone, in which a message gets garbled as it passes from one person to the next.
This past year has seen a rising interest in long-lost hobbies due to shelter-in-place, social distancing, and lockdown orders. Google Trends and Polygraph charted the hobbies that saw the biggest spikes each day of the year.
I’m surprised that sourdough or bread-making is on there, but maybe they didn’t fall under the hobby definition they used.
With the restrictions of the pandemic, you might expect an unusually big wave of people leaving cities for more open space. Using USPS’s change of address data, Jed Kolko, Emily Badger and Quoctrung Bui, for NYT’s The Upshot, show that this was not quite the case.
This surprised me, because I live in a suburban area that saw a flux of home buyers, which made prices approach ridiculous ranges. I wonder what in- and out-migration look like separately, on relative and absolute scales.
Danielle Ivory, Lauren Leatherby and Robert Gebeloff for The New York looked at voting from the 2020 election and vaccination rates at the state and county levels. The strength of correlation is surprising. The existence of the correlation is not.
Quoctrung Bui and Sarah Kliff for NYT’s The Upshot used difference charts to show how current airfare prices are approaching 2019 prices, based on data from travel app Hopper. This seems to indicate that people are getting ready to travel again.
Because airfare is typically purchased weeks or months in advance, it can be a barometer of how the public is feeling about the pace of recovery. The prices in the Hopper data, which includes fares displayed over three years of searches (representing billions of flight queries), now suggest a travel recovery that could be in full effect as early as this summer.
The red shade between each line shows the difference between prices year-over-year. Usually the area color in difference charts reflects the metric that is greater, but in these, the area reflects the metric that is less. That confused me for a second. But I’m curious if you’re not familiar with difference charts, do you just see the pattern correctly right away?