Digital Gems

Digital Gems

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Weekly Update: U.S. #COVID19 vaccination levels by COUNTY & Partisan
Weekly Update: U.S. #COVID19 vaccination levels by COUNTY & Partisan
Methodology reminders, including some important updates: I go by FULLY vaccinated residents only (defined as 2 doses of the Pfizer or Moderna vaccine or one dose of the Johnson & Johnson vaccine). I base my percentages on the total population, as opposed to adults only or those over 11 years old. For most states + DC I use the daily data from the Centers for Disease Control, but there are some where the CDC is either missing county-level data entirely or where the CDC data is less than 90% complete at the county level. Therefore: For Hawaii, Vermont, Virginia and West Virginia, I'm using data from the COVID Act Now Risk & Vaccine Tracker database. For Colorado, Georgia, New Mexico and Texas, I'm using their COVID vaccine dashboards set up by the state health departments. For California, I'm using the CDC data for most counties and the state health dept. dashboard data for the 8 small counties which the CDC isn't allowed to post data for. For Massachusetts, I'm using the CDC data for most counties but am now using the official Massachusetts Health Dept. weekly data report for Barnstable, Dukes & Nantucket counties, which the CDC only has partial data for.
Weekly Update: U.S. #COVID19 vaccination levels by COUNTY & Partisan
Man Gets 4 Years in $126 Million Printer Toner Fraud
Man Gets 4 Years in $126 Million Printer Toner Fraud
Gilbert N. Michaels, of West Los Angeles, Calif., preyed on tens of thousands of small businesses and charities by overcharging them for toner they didn’t need, federal prosecutors said.
Man Gets 4 Years in $126 Million Printer Toner Fraud
Frontiers | Gender Differences in Fear and Risk Perception During the COVID-19 Pandemic | Psychology
Frontiers | Gender Differences in Fear and Risk Perception During the COVID-19 Pandemic | Psychology
The COVID-19 pandemic has led many people to suffer from emotional distress. Previous studies suggest that women process and express affective experiences, such as fear, with a greater intensity compared to men. We administered an online survey to a sample of participants in the United States that measures fear of COVID-19, perceptions about health and financial risks, and preventative measures taken. Despite the empirical fact that men are more likely to experience adverse health consequences from COVID-19, women report greater fear and more negative expectations about health-related consequences of COVID-19 than men. However, women are more optimistic than men regarding the financial consequences of the pandemic. Women also report more negative emotional experiences generally during the pandemic, particularly in situations where other people or the government take actions that make matters worse. Though women report taking more preventative measures than men in response to the pandemic, gender differences in behavior are reduced after controlling for fear. These results shed light on how differences in emotional experiences of the pandemic may inform policy interventions.
Frontiers | Gender Differences in Fear and Risk Perception During the COVID-19 Pandemic | Psychology
The geography of AI
The geography of AI
Much of the U.S. artificial intelligence (AI) discussion revolves around futuristic dreams of both utopia and dystopia. From extreme to extreme, the promises range from solutions to global climate …
The geography of AI
Momentive|Axios Poll Masks In Schools
Momentive|Axios Poll Masks In Schools
SurveyMonkey delivers People Powered Data to organizations around the world. From simple surveys to advanced feedback solutions and enterprise offerings, SurveyMonkey products work for any use case or budget
Momentive|Axios Poll Masks In Schools
The Record by Recorded Future
The Record by Recorded Future
A team of security researchers has published details this week about a suite of 16 vulnerabilities collectively known as BrakTooth that impact the Bluetooth software stack that ships with System-on-Chip (SoC) boards from several popular vendors.
The Record by Recorded Future
Comparing Age at Cancer Diagnosis between Hispanics and Non-Hispanic Whites in the United States
Comparing Age at Cancer Diagnosis between Hispanics and Non-Hispanic Whites in the United States
Background: Population age structure may confound the comparison of age at cancer diagnosis across racial/ethnic groups. We compared age at cancer diagnosis for U.S. Hispanics, a population that is younger on average, and non-Hispanic whites (NHW), before and after adjustment for the age structure of the source population. Methods: We used Surveillance, Epidemiology, and End Results data from 18 U.S. regions in 2015 for 34 cancer sites to calculate crude and adjusted (using age- and sex-specific weights) mean ages at diagnosis. Differences in age at diagnosis comparing Hispanics to NHWs ( δ ) were assessed using independent sample t tests. Results: Crude mean ages at diagnosis were lower among Hispanic males and females for all sites combined and for most cancer sites. After age-adjustment, Hispanic (vs. NHW) males remained younger on average at diagnosis of chronic myeloid leukemia [ δ = −6.1; 95% confidence interval (CI), −8.1 to −4.1 years], testicular cancer ( δ =−4.7; 95% CI, −5.4 to −4.0), Kaposi sarcoma ( δ =−3.6; 95% CI,−6.3 to −0.8), mesothelioma ( δ =−3.0; 95% CI,−4.3 to −1.7), and anal cancer ( δ =−2.4; 95% CI, −3.9 to −0.8), and older at diagnosis of gallbladder cancer (δ = +3.8; 95% CI, 1.8 to 5.7) and Hodgkin's lymphoma ( δ = +7.5; 95% CI, 5.7 to 9.4), and Hispanic (vs. NHW) females remained younger at diagnosis of mesothelioma ( δ = −3.7; 95% CI, −6.7 to −0.7) and gallbladder cancer ( δ = −3.0; 95% CI, −4.3 to −1.7) and older at diagnosis of skin cancer ( δ = +3.8; 95% CI, 3.1 to 4.5), cervical cancer ( δ = +4.1; 95% CI, 3.3 to 4.8), and Hodgkin's lymphoma ( δ = +7.0; 95% CI, 5.0 to 9.1). Conclusions: On average, Hispanics are diagnosed with cancer at younger ages than NHWs; however, for many cancers these differences reflect the younger age structure in Hispanics. Impact: Population age structure should be considered when comparing age at cancer diagnosis across racial/ethnic groups.
Comparing Age at Cancer Diagnosis between Hispanics and Non-Hispanic Whites in the United States