The inverse correlation between COVID-19 and dengue fever was further observed in a sample of countries around Asia and Latin America, as well as in islands in the Pacific and Indian Oceans
The authors identified negative correlations between COVID-19's incidence, infection growth rate, and mortality to the percentage of people with antibody (IgM) levels for dengue fever in each of the country's states
Weekly alcohol consumption had U-shaped relationships with the cognitive functions assessed, with the strongest associations with better cognitive functions at a dosage of 10 to 14 drinks per week for all participants
Low to moderate drinking was associated with consistently high cognitive function trajectories. Cognitive test scores at the baseline middle-aged assessment were relatively high and remained high at each subsequent assessment. In addition, there was a decreased rate of cognitive decline with age for middle-aged or older US adults for low to moderate drinkers
These results provide further rationale to explore the role of vitamin D supplementation in reducing the risk for SARS-CoV-2 infection and COVID-19 disease
The SARS-CoV-2 positivity rate was higher in the 39,190 patients with “deficient” 25(OH)D values (<20 ng/mL) (12.5%, 95% C.I. 12.2–12.8%) than in the 27,870 patients with “adequate” values (30–34 ng/mL) (8.1%, 95% C.I. 7.8–8.4%) and the 12,321 patients with values ≥55 ng/mL (5.9%, 95% C.I. 5.5–6.4%)
The typical rate of asymptomatic infection with SARS-CoV-2 was estimated to be 40% by the CDC in mid-July, but asymptomatic infection rates are reported to be higher than 80% in settings with universal facial masking, which provides observational evidence for this hypothesis
Recent data from Boston demonstrate that SARS-CoV-2 infections decreased among health care workers after universal masking was implemented in municipal hospitals in late March
Identifying and isolating infected individuals more quickly would slow the virus' spread, which is key to safely reopening schools, factories, and offices.
Epidemiologists are calling for a radical shift in testing strategy: away from diagnosing people who have symptoms or were exposed and toward screening whole populations using faster, cheaper, sometimes less accurate tests.
The SARS-CoV-2 pandemic led to the closure of nearly all K-12 schools in the United States of America in March 2020. Although reopening K-12 schools for in-person schooling is desirable for many reasons, officials also understand that risk reduction strategies and detection of cases must be in place to allow children to safely return to school. Furthermore, the consequences of reclosing recently reopened schools are substantial and impact teachers, parents, and ultimately the educational experience in children. Using a stratified Susceptible-Exposed-Infected-Removed model, we explore the influences of reduced class density, transmission mitigation (such as the use of masks, desk shields, frequent surface cleaning, or outdoor instruction), and viral detection on cumulative prevalence. Our model predicts that a combination of all three approaches will substantially reduce SARS-CoV-2 prevalence. The model also shows that reduction of class density and the implementation of rapid viral testing, even with imperfect detection, have greater impact than moderate measures for transmission mitigation.