scholarly journals Pregnancy during the pandemic: The impact of COVID-19-related stress on risk for prenatal depression

2020 ◽  
Author(s):  
Lucy S King ◽  
Daisy E. Feddoes ◽  
Jaclyn Schwartz Kirshenbaum ◽  
Kathryn Leigh Humphreys ◽  
Ian Gotlib
Keyword(s):  
Pregnant Women ◽  
San Francisco ◽  
Disease Outbreaks ◽  
Prenatal Depression ◽  
Community Level ◽  
Negative Events ◽  
Bay Area ◽  
Psychosocial Sequelae ◽  
Related Stress ◽  
The Impact

Pregnant women may be particularly sensitive to negative events (i.e., adversity) related to the COVID-19 pandemic and affective responses to these events (i.e., stress). We examined COVID-19-related stress and adversity in a sample of 725 pregnant women residing in the San Francisco Bay Area in March-May 2020, 343 of whom provided addresses in California that were geocoded and matched by census tract to measures of community-level risk factors. Women who were pregnant during the pandemic had substantially elevated depressive symptoms compared to matched women who were pregnant prior to the pandemic. Several individual- and community-level risk and protective factors were associated with women’s scores on two latent factors of COVID-19-related stress and adversity. Highlighting the role of subjective responses to the pandemic in vulnerability to prenatal depression and factors that influence susceptibility to COVID-19-related stress, these findings inform understanding of the psychosocial sequelae of disease outbreaks among pregnant women.

scholarly journals Pregnancy during the pandemic: The impact of COVID-19-related stress on risk for prenatal depression

2021 ◽  
pp. 1-32
Author(s):  
Lucy S. King ◽  
Daisy E. Feddoes ◽  
Jacklyn S. Kirshenbaum ◽  
Kathryn L. Humphreys ◽  
Ian H. Gotlib
Keyword(s):  
Prenatal Depression ◽  
Related Stress ◽  
The Impact

scholarly journals High food insecurity in Latinx families and associated COVID-19 infection in the Greater Bay Area, California

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Milagro Escobar ◽  
Andrea DeCastro Mendez ◽  
Maria Romero Encinas ◽  
Sofia Villagomez ◽  
Janet M. Wojcicki
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
San Francisco ◽  
Employment Status ◽  
The United States ◽  
Household Food Security ◽  
Bay Area ◽  
Household Food ◽  
History Of ◽  
The Impact

Abstract Background Food insecurity impacts nearly one-in-four Latinx households in the United States and has been exacerbated by the novel coronavirus or COVID-19 pandemic. Methods We examined the impact of COVID-19 on household and child food security in three preexisting, longitudinal, Latinx urban cohorts in the San Francisco Bay Area (N = 375 households, 1875 individuals). Households were initially recruited during pregnancy and postpartum at Zuckerberg San Francisco General Hospital (ZSFG) and UCSF Benioff prior to the COVID-19 pandemic. For this COVID-19 sub-study, participants responded to a 15-min telephonic interview. Participants answered 18 questions from the US Food Security Food Module (US HFSSM) and questions on types of food consumption, housing and employment status, and history of COVID-19 infection as per community or hospital-based testing. Food security and insecurity levels were compared with prior year metrics. Results We found low levels of household food security in Latinx families (by cohort: 29.2%; 34.2%; 60.0%) and child food security (56.9%, 54.1%, 78.0%) with differences between cohorts explained by self-reported levels of education and employment status. Food security levels were much lower than those reported previously in two cohorts where data had been recorded from prior years. Reported history of COVID-19 infection in households was 4.8% (95% Confidence Interval (CI); 1.5–14.3%); 7.2% (95%CI, 3.6–13.9%) and 3.5% (95%CI, 1.7–7.2%) by cohort and was associated with food insecurity in the two larger cohorts (p = 0.03; p = 0.01 respectively). Conclusions Latinx families in the Bay Area with children are experiencing a sharp rise in food insecurity levels during the COVID-19 epidemic. Food insecurity, similar to other indices of poverty, is associated with increased risk for COVID-19 infection. Comprehensive interventions are needed to address food insecurity in Latinx populations and further studies are needed to better assess independent associations between household food insecurity, poor nutritional health and risk of COVID-19 infection.

A Musical Technography of John Bischoff

2004 ◽  
Vol 14 ◽  
pp. 75-79
Author(s):  
Douglas Kahn
Keyword(s):  
San Francisco ◽  
Early Development ◽  
Computer Music ◽  
Turning Point ◽  
San Francisco Bay Area ◽  
Experimental Music ◽  
Music Technology ◽  
Electronic Components ◽  
Bay Area ◽  
The Impact

John Bischoff has been part of the formation and growth of electronic and computer music in the San Francisco Bay Area for over three decades. In an interview with the author, he describes his early development as a student of experimental music technology, including the impact of hearing and assisting in the work of David Tudor. Bischoff, like Tudor, explored the unpredictable potentials within electronic components, and he brought this curiosity to bear when he began working on one of the first available micro-computers. He was a key individual at the historical turning point when computer music escaped its institutional restric-tions and began becoming widespread.

scholarly journals The risk of clinical complications and death among pregnant women with COVID-19 in the Cerner COVID-19 cohort: a retrospective analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fares Qeadan ◽  
Nana A. Mensah ◽  
Benjamin Tingey ◽  
Joseph B. Stanford
Keyword(s):  
Pregnant Women ◽  
Disease Outbreaks ◽  
Hospital Length ◽  
Morbidity And Mortality ◽  
Hospital Length Of Stay ◽  
High Risk Population ◽  
Invasive Ventilation ◽  
Female Patients ◽  
Race Ethnicity ◽  
The Impact

Abstract Background Pregnant women are potentially a high-risk population during infectious disease outbreaks such as COVID-19, because of physiologic immune suppression in pregnancy. However, data on the morbidity and mortality of COVID-19 among pregnant women, compared to nonpregnant women, are sparse and inconclusive. We sought to assess the impact of pregnancy on COVID-19 associated morbidity and mortality, with particular attention to the impact of pre-existing comorbidity. Methods We used retrospective data from January through June 2020 on female patients aged 18–44 years old utilizing the Cerner COVID-19 de-identified cohort. We used mixed-effects logistic and exponential regression models to evaluate the risk of hospitalization, maximum hospital length of stay (LOS), moderate ventilation, invasive ventilation, and death for pregnant women while adjusting for age, race/ethnicity, insurance, Elixhauser AHRQ weighted Comorbidity Index, diabetes history, medication, and accounting for clustering of results in similar zip-code regions. Results Out of 22,493 female patients with associated COVID-19, 7.2% (n = 1609) were pregnant. Crude results indicate that pregnant women, compared to non-pregnant women, had higher rates of hospitalization (60.5% vs. 17.0%, P < 0.001), higher mean maximum LOS (0.15 day vs. 0.08 day, P < 0.001) among those who stayed < 1 day, lower mean maximum LOS (2.55 days vs. 3.32 days, P < 0.001) among those who stayed ≥1 day, and higher moderate ventilation use (1.7% vs. 0.7%, P < 0.001) but showed no significant differences in rates of invasive ventilation or death. After adjusting for potentially confounding variables, pregnant women, compared to non-pregnant women, saw higher odds in hospitalization (aOR: 12.26; 95% CI (10.69, 14.06)), moderate ventilation (aOR: 2.35; 95% CI (1.48, 3.74)), higher maximum LOS among those who stayed < 1 day, and lower maximum LOS among those who stayed ≥1 day. No significant associations were found with invasive ventilation or death. For moderate ventilation, differences were seen among age and race/ethnicity groups. Conclusions Among women with COVID-19 disease, pregnancy confers substantial additional risk of morbidity, but no difference in mortality. Knowing these variabilities in the risk is essential to inform decision-makers and guide clinical recommendations for the management of COVID-19 in pregnant women.

scholarly journals Commuter Response to Traffic Information on an Incident

1998 ◽  
Vol 1621 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Ronald Koo ◽  
Youngbin Yim
Keyword(s):  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay Area ◽  
Traffic Information ◽  
Behavior Changes ◽  
Bay Area ◽  
Telephone System ◽  
Changes Over Time ◽  
The Impact ◽  
Insight Into

How traffic information is obtained and how it affects travel behavior when a major freeway is congested are presented and discussed. Immediately following a major highway incident south of San Francisco that caused congestion, a telephone survey was conducted of commuters who use the affected corridor of the highway. The behavior of commuters before and during their commute at the time of the incident was determined, including obtaining traffic information and how the information influenced changes in route, mode of travel, and departure time. The results of the survey suggest that traveler behavior is largely unaffected by individual incidents of congestion. Furthermore, although a fair proportion of commuters do obtain traffic information, they do not often modify their travel behavior in response. This study is one of several that collectively will provide insight into how travel behavior changes over time and allow the authors to assess the impact of TravInfo Traveler Advisory Telephone System in the San Francisco Bay Area.

scholarly journals Examination Of The Influence Of Service Quality On Membership Renewal In Fitness Centers In San Francisco Bay Area

2010 ◽  
Vol 3 (2) ◽  
Author(s):  
Pei Chih Wei ◽  
Huang-Chia Hung ◽  
Hiu-Chu Yang ◽  
Yu-Jui (Arthur) Hsu ◽  
Zhengwei Ma
Keyword(s):  
Service Quality ◽  
San Francisco ◽  
Service Providers ◽  
San Francisco Bay ◽  
San Francisco Bay Area ◽  
Customer Relationship ◽  
Fitness Centers ◽  
Fitness Center ◽  
Bay Area ◽  
The Impact

Corporations have to learn how to satisfy their customers’ various demands as the era of interactivity with customers has emerged (Pepper & Rogers, 1999). For fitness center, customers’ demands are increasing and diversified. Therefore, service quality is an index of quality assessment from customers for service-producing industries. Furthermore, the concept of corporate expansion and customer relationship has become the foundation of service-providers for higher profitability through customers’ renewal of membership. The main purpose of this study is to evaluate the impact of service quality on the renewal willingness of fitness center membership. Customers from four fitness centers in the San Francisco Bay Area, USA, were randomly selected for this survey. A total of 50 subjects participated in this survey. The data was analyzed by multiple regression and stepwise regression. The result indicated that the service quality has positive influence on the renewal willingness of membership.

scholarly journals GNSS Interference Characterization and Localization Using OpenSky ADS-B Data

Proceedings ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 10
Author(s):  
Zixi Liu ◽  
Sherman Lo ◽  
Todd Walter
Keyword(s):  
Convex Optimization ◽  
San Francisco ◽  
Source Localization ◽  
Situational Awareness ◽  
San Francisco Bay Area ◽  
Satellite System ◽  
Navigation Satellite ◽  
Bay Area ◽  
Global Navigation Satellite ◽  
The Impact

There is a growing dependence of critical and safety-of-life systems on the Global Navigation Satellite System (GNSS). GNSS interference events can cause severe impacts on aircraft safety, including unavailability of GNSS-based landing services. Therefore, it is important to be able to identify, localize, and remove interference sources that may cause these impacts. This project concentrates on events that affect the the airport environment and aims to provide improved situational awareness and safety for local airspace users. This paper contains three main sections: OpenSky ADS-B data processing, interference event characterization, and interference source localization. Specifically, we identified and removed incorrect timestamps from ADS-B ground receivers. We characterized the impact of interference events based on reported interference events that occurred at a San Francisco bay area airport. In addition, we designed a convex optimization model for localizing the interference sources given the ADS-B measurement. This article looks at common characteristics caused by the impact of interference events and shows a possible way to localize interference sources using ADS-B data.

scholarly journals Changes in Cancer Management due to COVID-19 Illness in Patients with Cancer in Northern California

2020 ◽  
pp. OP.20.00790
Author(s):  
Julie Tsu-Yu Wu ◽  
Daniel H. Kwon ◽  
Michael J. Glover ◽  
Solomon Henry ◽  
Douglas Wood ◽  
...  
Keyword(s):  
San Francisco ◽  
Curative Intent ◽  
Palliative Intent ◽  
Patients With Cancer ◽  
Cancer Management ◽  
Bay Area ◽  
Treatment Intent ◽  
The University ◽  
The Impact ◽  
Active Cancer

PURPOSE: The response to the COVID-19 pandemic has affected the management of patients with cancer. In this pooled retrospective analysis, we describe changes in management patterns for patients with cancer diagnosed with COVID-19 in two academic institutions in the San Francisco Bay Area. MATERIALS AND METHODS: Adult and pediatric patients diagnosed with COVID-19 with a current or historical diagnosis of malignancy were identified from the electronic medical record at the University of California, San Francisco, and Stanford University. The proportion of patients undergoing active cancer management whose care was affected was quantified and analyzed for significant differences with regard to management type, treatment intent, and the time of COVID-19 diagnosis. The duration and characteristics of such changes were compared across subgroups. RESULTS: A total of 131 patients were included, of whom 55 were undergoing active cancer management. Of these, 35 of 55 (64%) had significant changes in management that consisted primarily of delays. An additional three patients not undergoing active cancer management experienced a delay in management after being diagnosed with COVID-19. The decision to change management was correlated with the time of COVID-19 diagnosis, with more delays identified in patients treated with palliative intent earlier in the course of the pandemic (March/April 2020) compared with later (May/June 2020) (OR, 4.2; 95% CI, 1.03 to 17.3; P = .0497). This difference was not seen among patients treated with curative intent during the same timeframe. CONCLUSION: We found significant changes in the management of cancer patients with COVID-19 treated with curative and palliative intent that evolved over time. Future studies are needed to determine the impact of changes in management and treatment on cancer outcomes for patients with cancer and COVID-19.

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