Introduction: The Socioeconomic Impacts of COVID-19

The COVID-19 pandemic has exacted a historic toll on Americans' health and longevity. It has also shaped socioeconomic inequalities along the lines of gender, race, ethnicity, nativity, and class in America. The effects of COVID-19 are evident in the stratified experiences of Americans in work, unemployment, and unpaid labor;in stark inequalities in wealth and income;in the historic expansions and retrenchments in social welfare spending;and in the increase in violence and changes in the criminal justice system. While there has been an outpouring of research on the social and economic consequences of COVID-19, far less work draws together research across these varied, but interrelated, domains. In this introduction, we provide a broad narrative of how the COVID-19 pandemic unfolded in America and reshaped, in some instances fleetingly and in others more permanently, the landscape of socioeconomic inequality in America.

Machine learning links unresolving secondary pneumonia to mortality in patients with severe pneumonia, including COVID-19.

BACKGROUNDDespite guidelines promoting the prevention and aggressive treatment of ventilator-associated pneumonia (VAP), the importance of VAP as a driver of outcomes in mechanically ventilated patients, including patients with severe COVID-19, remains unclear. We aimed to determine the contribution of unsuccessful treatment of VAP to mortality for patients with severe pneumonia.METHODSWe performed a single-center, prospective cohort study of 585 mechanically ventilated patients with severe pneumonia and respiratory failure, 190 of whom had COVID-19, who underwent at least 1 bronchoalveolar lavage. A panel of intensive care unit (ICU) physicians adjudicated the pneumonia episodes and endpoints on the basis of clinical and microbiological data. Given the relatively long ICU length of stay (LOS) among patients with COVID-19, we developed a machine-learning approach called CarpeDiem, which grouped similar ICU patient-days into clinical states based on electronic health record data.RESULTSCarpeDiem revealed that the long ICU LOS among patients with COVID-19 was attributable to long stays in clinical states characterized primarily by respiratory failure. While VAP was not associated with mortality overall, the mortality rate was higher for patients with 1 episode of unsuccessfully treated VAP compared with those with successfully treated VAP (76.4% versus 17.6%, P < 0.001). For all patients, including those with COVID-19, CarpeDiem demonstrated that unresolving VAP was associated with a transitions to clinical states associated with higher mortality.CONCLUSIONSUnsuccessful treatment of VAP is associated with higher mortality. The relatively long LOS for patients with COVID-19 was primarily due to prolonged respiratory failure, placing them at higher risk of VAP.FUNDINGNational Institute of Allergy and Infectious Diseases (NIAID), NIH grant U19AI135964; National Heart, Lung, and Blood Institute (NHLBI), NIH grants R01HL147575, R01HL149883, R01HL153122, R01HL153312, R01HL154686, R01HL158139, P01HL071643, and P01HL154998; National Heart, Lung, and Blood Institute (NHLBI), NIH training grants T32HL076139 and F32HL162377; National Institute on Aging (NIA), NIH grants K99AG068544, R21AG075423, and P01AG049665; National Library of Medicine (NLM), NIH grant R01LM013337; National Center for Advancing Translational Sciences (NCATS), NIH grant U01TR003528; Veterans Affairs grant I01CX001777; Chicago Biomedical Consortium grant; Northwestern University Dixon Translational Science Award; Simpson Querrey Lung Institute for Translational Science (SQLIFTS); Canning Thoracic Institute of Northwestern Medicine.

Parenting Without Predictability: Precarious Schedules, Parental Strain, and Work-Life Conflict

Against the backdrop of dramatic changes in work and family life, this article draws on survey data from 2,971 mothers working in the service sector to examine how unpredictable schedules are associated with three dimensions of parenting: difficulty arranging childcare, work-life conflict, and parenting stress. Results demonstrate that on-call shifts, shift timing changes, work hour volatility, and short advance notice of work schedules are positively associated with difficulty arranging childcare and work-life conflict. Mothers working these schedules are more likely to miss work. We consider how family structure and race moderate the relationship between schedule instability and these dimensions of parenting. Unstable work schedules, we argue, have important consequences for mothers working in the service industry.

The Politics of Prevention: Polarization in How Workplace COVID-19 Safety Practices Shaped the Well-Being of Frontline Service Sector Workers

The COVID-19 pandemic dramatically reshaped the labor market, especially for service sector workers. Frontline service sector workers, already coping with precarious working conditions, faced proximate risks of COVID-19 transmission on the job and navigated new workplace safety measures, including masking, social distancing, and staying home while sick, all in a polarized political environment. We examine polarization in the effects of COVID-19 workplace safety measures on workers' feelings of safety and well-being. Specifically, we examine how support for former President Trump moderates the relationship between COVID-19 safety practices (masking, social distancing, staying home while sick) and workers' feelings of safety and well-being. To do so, we draw on novel data collected by The Shift Project from 2,039 service sector workers at 89 large firms during the COVID-19 pandemic. We find that workplace safety measures are positively associated with workers' self-assessments of feeling safe and with mental health, but only for Biden voters.

Broadly neutralizing aptamers to SARS-CoV-2: A diverse panel of modified DNA antiviral agents.

Since its discovery, COVID-19 has rapidly spread across the globe and has had a massive toll on human health, with infection mortality rates as high as 10%, and a crippling impact on the world economy. Despite numerous advances, there remains an urgent need for accurate and rapid point-of-care diagnostic tests and better therapeutic treatment options. To contribute chemically distinct, non-protein-based affinity reagents, we report here the identification of modified DNA-based aptamers that selectively bind to the S1, S2, or receptor-binding domain of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein. Several aptamers inhibit the binding of the spike protein to its cell-surface receptor angiotensin-converting enzyme 2 (ACE2) and neutralize authentic SARS-CoV-2 virus in vitro, including all variants of concern. With a high degree of nuclease resistance imparted by the base modifications, these reagents represent a new class of molecules with potential for further development as diagnostics or therapeutics.

Association between acute disease severity and one-year quality of life among post-hospitalisation COVID-19 patients: Coalition VII prospective cohort study.

PURPOSE: To assess the association between acute disease severity and 1-year quality of life in patients discharged after hospitalisation due to coronavirus disease 2019 (COVID-19). METHODS: We conducted a prospective cohort study nested in 5 randomised clinical trials between March 2020 and March 2022 at 84 sites in Brazil. Adult post-hospitalisation COVID-19 patients were followed for 1 year. The primary outcome was the utility score of EuroQol five-dimension three-level (EQ-5D-3L). Secondary outcomes included all-cause mortality, major cardiovascular events, and new disabilities in instrumental activities of daily living. Adjusted generalised estimating equations were used to assess the association between outcomes and acute disease severity according to the highest level on a modified ordinal scale during hospital stay (2: no oxygen therapy; 3: oxygen by mask or nasal prongs; 4: high-flow nasal cannula oxygen therapy or non-invasive ventilation; 5: mechanical ventilation). RESULTS: 1508 COVID-19 survivors were enrolled. Primary outcome data were available for 1156 participants. At 1 year, compared with severity score 2, severity score 5 was associated with lower EQ-5D-3L utility scores (0.7 vs 0.84; adjusted difference, - 0.1 [95% CI - 0.15 to - 0.06]); and worse results for all-cause mortality (7.9% vs 1.2%; adjusted difference, 7.1% [95% CI 2.5%-11.8%]), major cardiovascular events (5.6% vs 2.3%; adjusted difference, 2.6% [95% CI 0.6%-4.6%]), and new disabilities (40.4% vs 23.5%; adjusted difference, 15.5% [95% CI 8.5%-22.5]). Severity scores 3 and 4 did not differ consistently from score 2. CONCLUSIONS: COVID-19 patients who needed mechanical ventilation during hospitalisation have lower 1-year quality of life than COVID-19 patients who did not need mechanical ventilation during hospitalisation.

The Politics of Prevention: Polarization in How Workplace COVID-19 Safety Practices Shaped the Well-Being of Frontline Service Sector Workers

The COVID-19 pandemic dramatically reshaped the labor market, especially for service sector workers. Frontline service sector workers, already coping with precarious working conditions, faced proximate risks of COVID-19 transmission on the job and navigated new workplace safety measures, including masking, social distancing, and staying home while sick, all in a polarized political environment. We examine polarization in the effects of COVID-19 workplace safety measures on workers’ feelings of safety and well-being. Specifically, we examine how support for former President Trump moderates the relationship between COVID-19 safety practices (masking, social distancing, staying home while sick) and workers’ feelings of safety and well-being. To do so, we draw on novel data collected by The Shift Project from 2,039 service sector workers at 89 large firms during the COVID-19 pandemic. We find that workplace safety measures are positively associated with workers’ self-assessments of feeling safe and with mental health, but only for Biden voters.

Alternatives to animal models and their application in the discovery of species susceptibility to SARS-CoV-2 and other respiratory infectious pathogens: A review.

The emergence of the coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) inspired rapid research efforts targeting the host range, pathogenesis and transmission mechanisms, and the development of antiviral strategies. Genetically modified mice, rhesus macaques, ferrets, and Syrian golden hamsters have been frequently used in studies of pathogenesis and efficacy of antiviral compounds and vaccines. However, alternatives to in vivo experiments, such as immortalized cell lines, primary respiratory epithelial cells cultured at an air-liquid interface, stem/progenitor cell-derived organoids, or tissue explants, have also been used for isolation of SARS-CoV-2, investigation of cytopathic effects, and pathogen-host interactions. Moreover, initial proof-of-concept studies for testing therapeutic agents can be performed with these tools, showing that animal-sparing cell culture methods could significantly reduce the need for animal models in the future, following the 3R principles of replace, reduce, and refine. So far, only few studies using animal-derived primary cells or tissues have been conducted in SARS-CoV-2 research, although natural infection has been shown to occur in several animal species. Therefore, the need for in-depth investigations on possible interspecies transmission routes and differences in susceptibility to SARS-CoV-2 is urgent. This review gives an overview of studies employing alternative culture systems like primary cell cultures, tissue explants, or organoids for investigations of the pathophysiology and reverse zoonotic potential of SARS-CoV-2 in animals. In addition, future possibilities of SARS-CoV-2 research in animals, including previously neglected methods like the use of precision-cut lung slices, will be outlined.

Maternal exposure to work schedule unpredictability and child behavior.

Objective: This article estimates the association between maternal exposure to unpredictable work schedules in the service sector and child internalizing and externalizing behavior. Background: Precarious work is widespread and characterized by low wages, few benefits, and nonstandard schedules. But working parents, especially in the service sector, contend with unpredictable work schedules as well. These schedules have negative consequences for workers, but may also perpetuate inequality across generations by negatively affecting children. Method: This article takes advantage of novel survey data from The Shift Project, covering 2,613 mothers (surveyed 2017-2019) working in the service sector with children (mean child age of 7.5), to examine the association between maternal work schedules and child behavior as well as the mediators of this relationship. Results: Maternal exposure to unpredictable work schedules is associated with children's externalizing and internalizing behavior. Mediation analysis shows that for parents with the most unpredictable schedules, this aspect of job quality operates on children's behavior by increasing household economic insecurity, reducing developmental parenting time, and diminishing maternal well-being. Conclusion: These results demonstrate that work scheduling conditions may have consequences not just for workers themselves but also for their children.

Olive Garden's Expansion Of Paid Sick Leave During COVID-19 Reduced The Share Of Employees Working While Sick.

The COVID-19 pandemic has focused public and policy attention on the acute lack of paid sick leave for service-sector workers in the United States. The lack of paid sick leave is potentially a threat not only to workers' well-being but also to public health. However, the literature on the effects of paid sick leave in the US is surprisingly limited, in large part because instances of paid sick leave expansion are relatively uncommon. We exploit the fact that large firms in the US were not required to expand paid sick leave during the COVID-19 pandemic but that one casual dining restaurant in particular, Olive Garden, faced intense public pressure to do so. We drew on data collected from 2017 through fall 2020 from 10,306 food service-sector workers in the US by the Shift Project, which include employer identifiers. Using a difference-in-differences design, we found strong evidence of an increase in paid sick leave coverage among Olive Garden workers, as well as evidence that this expansion reduced the incidence of working while sick among front-line food service workers.

Quality of life and long-term outcomes after hospitalization for COVID-19: Protocol for a prospective cohort study (Coalition VII). / Qualidade de vida e desfechos em longo prazo após hospitalização por COVID-19: Protocolo para um estudo de coorte prospectivo (Coalizão VII).

INTRODUCTION: The long-term effects caused by COVID-19 are unknown. The present study aims to assess factors associated with health-related quality of life and long-term outcomes among survivors of hospitalization for COVID-19 in Brazil. METHODS: This is a multicenter prospective cohort study nested in five randomized clinical trials designed to assess the effects of specific COVID-19 treatments in over 50 centers in Brazil. Adult survivors of hospitalization due to proven or suspected SARS-CoV-2 infection will be followed-up for a period of 1 year by means of structured telephone interviews. The primary outcome is the 1-year utility score of health-related quality of life assessed by the EuroQol-5D3L. Secondary outcomes include all-cause mortality, major cardiovascular events, rehospitalizations, return to work or study, physical functional status assessed by the Lawton-Brody Instrumental Activities of Daily Living, dyspnea assessed by the modified Medical Research Council dyspnea scale, need for long-term ventilatory support, symptoms of anxiety and depression assessed by the Hospital Anxiety and Depression Scale, symptoms of posttraumatic stress disorder assessed by the Impact of Event Scale-Revised, and self-rated health assessed by the EuroQol-5D3L Visual Analog Scale. Generalized estimated equations will be performed to test the association between five sets of variables (1- demographic characteristics, 2- premorbid state of health, 3- characteristics of acute illness, 4- specific COVID-19 treatments received, and 5- time-updated postdischarge variables) and outcomes. ETHICS AND DISSEMINATION: The study protocol was approved by the Research Ethics Committee of all participant institutions. The results will be disseminated through conferences and peer-reviewed journals.

INTRODUÇÃO: Os efeitos provocados pela COVID-19 em longo prazo são desconhecidos. O presente estudo tem como objetivo avaliar os fatores associados com a qualidade de vida relacionada à saúde e os desfechos em longo prazo em sobreviventes à hospitalização por COVID-19 no Brasil. MÉTODOS: Este será um estudo multicêntrico de coorte prospectivo, aninhado em cinco ensaios clínicos randomizados desenhados para avaliar os efeitos dos tratamentos específicos para COVID-19 em mais de 50 centros no Brasil. Pacientes adultos sobreviventes à hospitalização por infecção por SARS-CoV-2 comprovada ou suspeita serão seguidos por um período de 1 ano, por meio de entrevistas telefônicas estruturadas. O desfecho primário é o escore de utilidade para qualidade de vida relacionada à saúde após 1 ano, avaliado segundo o questionário EuroQol-5D3L. Os desfechos secundários incluirão mortalidade por todas as causas, eventos cardiovasculares graves, reospitalizações, retorno ao trabalho ou estudo, condição funcional física avaliada pelo instrumento Lawton-Brody Instrumental Activities of Daily Living, dispneia avaliada segundo a escala de dispneia modificada do Medical Research Council, necessidade de suporte ventilatório em longo prazo, sintomas de ansiedade e depressão avaliados segundo a Hospital Anxiety and Depression Scale, sintomas de transtorno de estresse pós-traumático avaliados pela ferramenta Impact of Event Scale-Revised e autoavaliação da condição de saúde, conforme a Escala Visual Analógica do EuroQol-5D3L. Serão utilizadas equações de estimativas generalizada para testar a associação entre cinco conjuntos de variáveis (1 - características demográficas, 2 - condição de saúde pré-morbidade, 3 - características da doença aguda, 4 - terapias específicas para COVID-19 recebidas e 5 - variáveis pós-alta atualizadas) e desfechos. ÉTICA E DISSEMINAÇÃO: O protocolo do estudo foi aprovado pelos Comitês de Ética em Pesquisa de todas as instituições participantes. Os resultados serão disseminados por meio de conferências e periódicos revisados por pares.

The effect of eviction moratoria on the transmission of SARS-CoV-2.

Massive unemployment during the COVID-19 pandemic could result in an eviction crisis in US cities. Here we model the effect of evictions on SARS-CoV-2 epidemics, simulating viral transmission within and among households in a theoretical metropolitan area. We recreate a range of urban epidemic trajectories and project the course of the epidemic under two counterfactual scenarios, one in which a strict moratorium on evictions is in place and enforced, and another in which evictions are allowed to resume at baseline or increased rates. We find, across scenarios, that evictions lead to significant increases in infections. Applying our model to Philadelphia using locally-specific parameters shows that the increase is especially profound in models that consider realistically heterogenous cities in which both evictions and contacts occur more frequently in poorer neighborhoods. Our results provide a basis to assess eviction moratoria and show that policies to stem evictions are a warranted and important component of COVID-19 control.

Effect of tocilizumab on clinical outcomes at 15 days in patients with severe or critical coronavirus disease 2019: randomised controlled trial.

OBJECTIVE: To determine whether tocilizumab improves clinical outcomes for patients with severe or critical coronavirus disease 2019 (covid-19). DESIGN: Randomised, open label trial. SETTING: Nine hospitals in Brazil, 8 May to 17 July 2020. PARTICIPANTS: Adults with confirmed covid-19 who were receiving supplemental oxygen or mechanical ventilation and had abnormal levels of at least two serum biomarkers (C reactive protein, D dimer, lactate dehydrogenase, or ferritin). The data monitoring committee recommended stopping the trial early, after 129 patients had been enrolled, because of an increased number of deaths at 15 days in the tocilizumab group. INTERVENTIONS: Tocilizumab (single intravenous infusion of 8 mg/kg) plus standard care (n=65) versus standard care alone (n=64). MAIN OUTCOME MEASURE: The primary outcome, clinical status measured at 15 days using a seven level ordinal scale, was analysed as a composite of death or mechanical ventilation because the assumption of odds proportionality was not met. RESULTS: A total of 129 patients were enrolled (mean age 57 (SD 14) years; 68% men) and all completed follow-up. All patients in the tocilizumab group and two in the standard care group received tocilizumab. 18 of 65 (28%) patients in the tocilizumab group and 13 of 64 (20%) in the standard care group were receiving mechanical ventilation or died at day 15 (odds ratio 1.54, 95% confidence interval 0.66 to 3.66; P=0.32). Death at 15 days occurred in 11 (17%) patients in the tocilizumab group compared with 2 (3%) in the standard care group (odds ratio 6.42, 95% confidence interval 1.59 to 43.2). Adverse events were reported in 29 of 67 (43%) patients who received tocilizumab and 21 of 62 (34%) who did not receive tocilizumab. CONCLUSIONS: In patients with severe or critical covid-19, tocilizumab plus standard care was not superior to standard care alone in improving clinical outcomes at 15 days, and it might increase mortality. TRIAL REGISTRATION: ClinicalTrials.gov NCT04403685.

Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia.

Some patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) develop severe pneumonia and acute respiratory distress syndrome1 (ARDS). Distinct clinical features in these patients have led to speculation that the immune response to virus in the SARS-CoV-2-infected alveolus differs from that in other types of pneumonia2. Here we investigate SARS-CoV-2 pathobiology by characterizing the immune response in the alveoli of patients infected with the virus. We collected bronchoalveolar lavage fluid samples from 88 patients with SARS-CoV-2-induced respiratory failure and 211 patients with known or suspected pneumonia from other pathogens, and analysed them using flow cytometry and bulk transcriptomic profiling. We performed single-cell RNA sequencing on 10 bronchoalveolar lavage fluid samples collected from patients with severe coronavirus disease 2019 (COVID-19) within 48 h of intubation. In the majority of patients with SARS-CoV-2 infection, the alveolar space was persistently enriched in T cells and monocytes. Bulk and single-cell transcriptomic profiling suggested that SARS-CoV-2 infects alveolar macrophages, which in turn respond by producing T cell chemoattractants. These T cells produce interferon-γ to induce inflammatory cytokine release from alveolar macrophages and further promote T cell activation. Collectively, our results suggest that SARS-CoV-2 causes a slowly unfolding, spatially limited alveolitis in which alveolar macrophages containing SARS-CoV-2 and T cells form a positive feedback loop that drives persistent alveolar inflammation.

A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results.

BACKGROUND: Testing for COVID-19 remains limited in the United States and across the world. Poor allocation of limited testing resources leads to misutilization of health system resources, which complementary rapid testing tools could ameliorate. OBJECTIVE: To predict SARS-CoV-2 PCR positivity based on complete blood count components and patient sex. STUDY DESIGN: A retrospective case-control design for collection of data and a logistic regression prediction model was used. Participants were emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing. 33 confirmed SARS-CoV-2 PCR positive and 357 negative patients at Stanford Health Care were used for model training. Validation cohorts consisted of emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing in Northern California (41 PCR positive, 495 PCR negative), Seattle, Washington (40 PCR positive, 306 PCR negative), Chicago, Illinois (245 PCR positive, 1015 PCR negative), and South Korea (9 PCR positive, 236 PCR negative). RESULTS: A decision support tool that utilizes components of complete blood count and patient sex for prediction of SARS-CoV-2 PCR positivity demonstrated a C-statistic of 78 %, an optimized sensitivity of 93 %, and generalizability to other emergency department populations. By restricting PCR testing to predicted positive patients in a hypothetical scenario of 1000 patients requiring testing but testing resources limited to 60 % of patients, this tool would allow a 33 % increase in properly allocated resources. CONCLUSIONS: A prediction tool based on complete blood count results can better allocate SARS-CoV-2 testing and other health care resources such as personal protective equipment during a pandemic surge.