College openings in the United States increase mobility and COVID-19 incidence.

School and college reopening-closure policies are considered one of the most promising non-pharmaceutical interventions for mitigating infectious diseases. Nonetheless, the effectiveness of these policies is still debated, largely due to the lack of empirical evidence on behavior during implementation. We examined U.S. college reopenings' association with changes in human mobility within campuses and in COVID-19 incidence in the counties of the campuses over a twenty-week period around college reopenings in the Fall of 2020. We used an integrative framework, with a difference-in-differences design comparing areas with a college campus, before and after reopening, to areas without a campus and a Bayesian approach to estimate the daily reproductive number (Rt). We found that college reopenings were associated with increased campus mobility, and increased COVID-19 incidence by 4.9 cases per 100,000 (95% confidence interval [CI]: 2.9-6.9), or a 37% increase relative to the pre-period mean. This reflected our estimate of increased transmission locally after reopening. A greater increase in county COVID-19 incidence resulted from campuses that drew students from counties with high COVID-19 incidence in the weeks before reopening (χ2(2) = 8.9, p = 0.012) and those with a greater share of college students, relative to population (χ2(2) = 98.83, p < 0.001). Even by Fall of 2022, large shares of populations remained unvaccinated, increasing the relevance of understanding non-pharmaceutical decisions over an extended period of a pandemic. Our study sheds light on movement and social mixing patterns during the closure-reopening of colleges during a public health threat, and offers strategic instruments for benefit-cost analyses of school reopening/closure policies.

Catching hold of COVID-19-related encephalitis by tracking ANGPTL4 signature in blood: An Editorial Highlight for "Endothelial cell biomarkers in critically ill COVID-19-patients with encephalitis": An Editorial Highlight for "Endothelial cell biomarkers in critically ill COVID-19-patients with encephalitis" on page 492.

Infection by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in humans is characterized by a plethora of symptoms varying in intensity, such as non-specific febrile illness, dry cough, dyspnea, hypoxemia to severe lung damage, and even death. In addition to pulmonary complications associated with coronavirus disease-19 (COVID-19), perturbations in the physiology of multiple other organ systems have been reported, resulting in multiorgan failure (MoF) that is frequently observed in severe COVID-19 cases. Central nervous system (CNS) infection by SARS-CoV-2 is characterized by neurological impairments in patients with COVID-19, with the development of encephalopathy at the severe end of the spectrum. While mechanistic investigations of SARS-CoV-2-related encephalitis may reveal promising therapeutic candidates for reducing COVID-19-associated disease morbidity, the discovery of biomarkers capable of diagnosing and predicting prognosis in patients with encephalitis upon SARS-CoV-2 infection will afford significant value for the rapid detection of encephalitis and predicting disease outcomes. This will ultimately enable appropriate modifications of therapeutic regimens aimed at reducing disease morbidity and mortality. In this editorial, we highlight a study by Le Guennec and colleagues, entitled "Endothelial cell biomarkers in critically ill COVID-19-patients with encephalitis", reporting the association of increased serum angiopoietin-like 4 (ANGPTL4) abundance with COVID-19-related encephalitis. The study highlights ANGPTL4 as a potential molecular marker for this disease. These novel findings may catalyze developments in the field of COVID-19-associated encephalitis by facilitating accurate and rapid diagnosis of encephalitis and timely treatment initiation, thus improving patient outcomes by ameliorating disease burden.

Quality-Adjusted Life-Year Losses Averted With Every COVID-19 Infection Prevented in the United States.

OBJECTIVE: To estimate the overall quality-adjusted life-years (QALYs) gained by averting 1 coronavirus disease 2019 (COVID-19) infection over the duration of the pandemic. METHODS: A cohort-based probabilistic simulation model, informed by the latest epidemiological estimates on COVID-19 in the United States provided by the Centers for Disease Control and Prevention and literature review. Heterogeneity of parameter values across age group was accounted for. The main outcome studied was QALYs for the infected patient, patient's family members, and the contagion effect of the infected patient over the duration of the pandemic. RESULTS: Averting a COVID-19 infection in a representative US resident will generate an additional 0.061 (0.016-0.129) QALYs (for the patient: 0.055, 95% confidence interval [CI] 0.014-0.115; for the patient's family members: 0.006, 95% CI 0.002-0.015). Accounting for the contagion effect of this infection, and assuming that an effective vaccine will be available in 3 months, the total QALYs gains from averting 1 single infection is 1.51 (95% CI 0.28-4.37) accrued to patients and their family members affected by the index infection and its sequelae. These results were robust to most parameter values and were most influenced by effective reproduction number, probability of death outside the hospital, the time-varying hazard rates of hospitalization, and death in critical care. CONCLUSION: Our findings suggest that the health benefits of averting 1 COVID-19 infection in the United States are substantial. Efforts to curb infections must weigh the costs against these benefits.

The COVID-19 pandemic: catching up with the cataclysm.

Infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which belongs to the Coronaviridae family and is a positive-sense single-stranded RNA virus originating from Wuhan, China, was declared a global public health emergency on 11 March 2020. SARS-CoV-2 infection in humans is characterized by symptoms such as fever and dyspnea accompanied by infrequent incidence of lymphopenia, gastrointestinal complications such as elevated hepatic aminotransferases, and diarrhea. Originating in bats, the SARS-CoV-2 virus has been transmitted to humans likely via an intermediate host that is yet to be discovered. Owing to the absence of any vaccines or definite anti-viral drugs alongside the greater mobility of people across the globe, international and national efforts in containing and treating SARS-CoV-2 infection are experiencing severe difficulties. In this review, we have provided a picture of SARS-CoV-2 epidemiological characteristics, the clinical symptoms experienced by patients of varying age groups, the molecular virology of SARS-CoV-2, and the treatment regimens currently employed for fighting SARS-CoV-2 infection as well as their outcomes.

Estimating The Infection Fatality Rate Among Symptomatic COVID-19 Cases In The United States.

Knowing the infection fatality rate (IFR) of novel coronavirus (SARS-CoV-2) infections is essential for the fight against the coronavirus disease (COVID-19) pandemic. Using data through April 20, 2020, I fit a statistical model to COVID-19 case fatality rates over time at the US county level to estimate the COVID-19 IFR among symptomatic cases (IFR-S) as time goes to infinity. The IFR-S in the US was estimated to be 1.3 percent. County-specific rates varied from 0.5 percent to 3.6 percent. The overall IFR for COVID-19 should be lower when I account for cases where patients are asymptomatic and recover without symptoms. When used with other estimating approaches, my model and estimates can help disease and policy modelers obtain more accurate predictions for the epidemiology of the disease and the impact of various policy levers to contain the pandemic. The model could also be used with future pandemics to get an early sense of the magnitude of symptomatic infection at the population level before other direct estimates are available. Substantial variation across patient demographics likely exists and should be the focus of future studies.