scholarly journals Estimated seroprevalence of SARS-CoV-2 antibodies among adults in Orange County, California

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tim A. Bruckner ◽  
Daniel M. Parker ◽  
Scott M. Bartell ◽  
Veronica M. Vieira ◽  
Saahir Khan ◽  
...  
Keyword(s):  
Low Income ◽  
Household Income ◽  
Public Health Surveillance ◽  
Orange County ◽  
Prevalence Ratio ◽  
Population Based ◽  
Microarray Technology ◽  
The Us ◽  
Racial Ethnic ◽  
Measurement Validity

AbstractClinic-based estimates of SARS-CoV-2 may considerably underestimate the total number of infections. Access to testing in the US has been heterogeneous and symptoms vary widely in infected persons. Public health surveillance efforts and metrics are therefore hampered by underreporting. We set out to provide a minimally biased estimate of SARS-CoV-2 seroprevalence among adults for a large and diverse county (Orange County, CA, population 3.2 million). We implemented a surveillance study that minimizes response bias by recruiting adults to answer a survey without knowledge of later being offered SARS-CoV-2 test. Several methodologies were used to retrieve a population-representative sample. Participants (n = 2979) visited one of 11 drive-thru test sites from July 10th to August 16th, 2020 (or received an in-home visit) to provide a finger pin-prick sample. We applied a robust SARS-CoV-2 Antigen Microarray technology, which has superior measurement validity relative to FDA-approved tests. Participants include a broad age, gender, racial/ethnic, and income representation. Adjusted seroprevalence of SARS-CoV-2 infection was 11.5% (95% CI: 10.5–12.4%). Formal bias analyses produced similar results. Prevalence was elevated among Hispanics (vs. other non-Hispanic: prevalence ratio [PR] = 1.47, 95% CI 1.22–1.78) and household income < $50,000 (vs. > $100,000: PR = 1.42, 95% CI: 1.14 to 1.79). Results from a diverse population using a highly specific and sensitive microarray indicate a SARS-CoV-2 seroprevalence of ~ 12 percent. This population-based seroprevalence is seven-fold greater than that using official County statistics. In this region, SARS-CoV-2 also disproportionately affects Hispanic and low-income adults.

scholarly journals Estimated Seroprevalence of SARS-CoV-2 Antibodies Among Adults in Orange County, California

2020 ◽  
Author(s):  
Tim A. Bruckner ◽  
Daniel M. Parker ◽  
Scott M. Bartell ◽  
Veronica M. Vieira ◽  
Saahir Khan ◽  
...  
Keyword(s):  
Low Income ◽  
Household Income ◽  
Public Health Surveillance ◽  
Orange County ◽  
Prevalence Ratio ◽  
Population Based ◽  
Microarray Technology ◽  
The Us ◽  
Racial Ethnic ◽  
Measurement Validity

ABSTRACTBackgroundClinic-based estimates of SARS-CoV-2 may considerably underestimate the total number of infections. Access to testing in the US has been heterogeneous and symptoms vary widely in infected persons. Public health surveillance efforts and metrics are therefore hampered by underreporting. We set out to provide a minimally biased estimate of SARS-CoV-2 seroprevalence among adults for a large and diverse county (Orange County, CA, population 3.2 million).MethodsWe implemented a surveillance study that minimizes response bias by recruiting adults to answer a survey without knowledge of later being offered a SARS-CoV-2 test. Several methodologies were used to retrieve a population-representative sample. Participants (n=2,979) visited one of 11 drive-thru test sites from July 10th to August 16th, 2020 (or received an in-home visit) to provide a finger pin-prick sample. We applied a robust SARS-CoV-2 Antigen Microarray technology, which has superior measurement validity relative to FDA-approved tests.FindingsParticipants include a broad age, gender, racial/ethnic, and income representation. Adjusted seroprevalence of SARS-CoV-2 infection was 11.5% (95% CI: 10.5% to 12.4%). Formal bias analyses produced similar results. Prevalence was elevated among Hispanics (vs. other non-Hispanic: prevalence ratio [PR]= 1.47, 95% CI: 1.22 to 1.78) and household income <$50,000 (vs. >$100,000: PR= 1.42, 95% CI: 1.14 to 1.79).InterpretationResults from a diverse population using a highly specific and sensitive microarray indicate a SARS-CoV-2 seroprevalence of ∼12 percent. This population-based seroprevalence is seven-fold greater than that using official County statistics. In this region, SARS-CoV-2 also disproportionately affects Hispanic and low-income adults.FundingOrange County Healthcare Agency

Public awareness of the HPV vaccine: A national population-based study.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 1574-1574
Author(s):  
Abigail Shrader ◽  
Linda Niccolai ◽  
Susan T Mayne ◽  
Daniel DiMaio ◽  
Anees B. Chagpar
Keyword(s):  
Young People ◽  
Hpv Vaccine ◽  
Public Awareness ◽  
Population Based ◽  
Hpv Vaccines ◽  
National Guidelines ◽  
Population Based Study ◽  
The Us ◽  
Interview Survey ◽  
Racial Ethnic

1574 Background: Human papilloma virus (HPV) is associated with a number of malignancies. While national guidelines exist for the use of HPV vaccines in men and women up to the age of 26, data are lacking regarding public awareness of these vaccines. Methods: The National Health Interview Survey is conducted annually by the CDC, and is designed to be representative of the US population. Questions regarding the HPV vaccine were fielded in 2010, and formed the basis of this analysis. Results: 9120 men and 10946 women between the ages of 18 and 64 were surveyed. More women than men had heard about the HPV vaccine (68.1% vs. 34.0%, p<0.001), and young people (aged 18-26) were more likely to have heard about the vaccine than their older counterparts (54.3% vs. 50.5%, p=0.002). Factors associated with awareness of HPV vaccines amongst the younger cohort (eligible for the vaccine) are shown below. On multivariate analysis, race, insurance, and education were significant predictors of HPV vaccine awareness. Conclusions: While over half of young people aged 18-26 are aware of the HPV vaccine, racial/ethnic minorities, along with less educated and uninsured populations lag behind their majority counterparts in their awareness of the HPV vaccine. These data should be useful in directing public health educational programs. [Table: see text]

scholarly journals Population-based estimates of post-acute sequelae of SARS-CoV-2 infection (PASC) prevalence and characteristics: A cross-sectional study

2021 ◽  
Author(s):  
Jana L. Hirschtick ◽  
Andrea R. Titus ◽  
Elizabeth Slocum ◽  
Laura E. Power ◽  
Robert E. Hirschtick ◽  
...  
Keyword(s):  
Low Income ◽  
Smoking Status ◽  
Prevalence Ratio ◽  
Population Based ◽  
Outcome Data ◽  
Cross Sectional Survey ◽  
Annual Household Income ◽  
Cross Sectional ◽  
Persistent Symptoms ◽  
Initial Symptoms

AbstractImportanceEmerging evidence suggests many people have persistent symptoms after acute COVID-19 illness.ObjectiveTo estimate the prevalence and correlates of persistent COVID-19 symptoms 30 and 60 days post onset using a population-based sample.Design & SettingThe Michigan COVID-19 Recovery Surveillance Study is a population-based cross-sectional survey of a probability sample of adults with confirmed COVID-19 in the Michigan Disease Surveillance System (MDSS). Respondents completed a survey online or via telephone in English, Spanish, or Arabic between June - December 2020.ParticipantsLiving non-institutionalized adults (aged 18+) in MDSS with COVID-19 onset through mid-April 2020 were eligible for selection (n=28,000). Among 2,000 adults selected, 629 completed the survey. We excluded 79 cases during data collection due to ineligibility, 6 asymptomatic cases, 7 proxy reports, and 24 cases missing outcome data, resulting in a sample size of 593. The sample was predominantly female (56.1%), aged 45 and older (68.2%), and Non-Hispanic White (46.3%) or Black (34.8%).ExposuresDemographic (age, sex, race/ethnicity, and annual household income) and clinical factors (smoking status, body mass index, diagnosed comorbidities, and illness severity).Main outcomes and MeasuresWe defined post-acute sequelae of SARS-CoV-2 infection (PASC) as persistent symptoms 30+ days (30-day COVID-19) or 60+ days (60-day COVID-19) post COVID-19 onset.Results30- and 60-day COVID-19 were highly prevalent (52.5% and 35.0%), even among respondents reporting mild symptoms (29.2% and 24.5%) and non-hospitalized respondents (43.7% and 26.9%, respectively). Low income was statistically significantly associated with 30-day COVID-19 in adjusted models. Respondents reporting very severe (vs. mild) symptoms had 2.25 times higher prevalence of 30-day COVID-19 (Adjusted Prevalence Ratio [aPR] 2.25, 95% CI 1.46-3.46) and 1.71 times higher prevalence of 60-day COVID-19 (aPR 1.71, 95% 1.02-2.88). Hospitalized (vs. non-hospitalized) respondents had about 40% higher prevalence of both 30-day (aPR 1.37, 95% CI 1.12-1.69) and 60-day COVID-19 (aPR 1.40, 95% CI 1.02-1.93).Conclusions and RelevancePASC is highly prevalent among cases with severe initial symptoms, and, to a lesser extent, cases with mild and moderate symptoms.

scholarly journals Evaluating for Differences by Race/Ethnicity in the Association Between Income and Gambling Disorder

2020 ◽  
Vol 36 (4) ◽  
pp. 1093-1105
Author(s):  
Brendan Day ◽  
Geoffrey Rosenthal ◽  
Fiyinfolu Adetunji ◽  
Andrea Monaghan ◽  
Christina Scheele ◽  
...  
Keyword(s):  
Low Income ◽  
Household Income ◽  
Gambling Disorder ◽  
The United States ◽  
Multivariable Logistic Regression Analysis ◽  
Annual Household Income ◽  
Interview Schedule ◽  
Veteran Status ◽  
Race Ethnicity ◽  
Racial Ethnic

AbstractMultiple studies show an increased prevalence of gambling disorder among African Americans compared to whites. However, few studies take an analytic approach to understanding differences in risk factors by race/ethnicity. Income is inversely associated with gambling disorder; we hypothesized that this association would vary by race/ethnicity. The main objective was to evaluate whether the association between income and gambling disorder varies by race/ethnicity. With data from the baseline visit of a prospective cohort study, Prevention and Etiology of Gambling Addiction Study in the United States, we used multivariable logistic regression analysis to determine whether the association between income and gambling disorder varies by race/ethnicity. 1164 participants were included in the final analyses. Measures included: demographics (age, sex, race/ethnicity, education, employment, annual household income), veteran status, marital status, homelessness, smoking, substance abuse, alcohol abuse, marijuana use, and lifetime gambling disorder diagnosis as derived from Alcohol Use Disorder and Associated Disabilities Interview Schedule. There was no evidence of effect modification by race/ethnicity in the association between income and gambling disorder (global p value = 0.17). Income was associated with increased odds of gambling disorder, but only for those with low income (< $15,000; OR 2.27, 95% CI 1.46, 3.53). There was no evidence that the effect of income on gambling disorder varies by race/ethnicity. For all race/ethnicities combined, low income was associated with significantly increased odds of gambling disorder (OR 2.27, 95% CI 1.46, 3.53). Further research is needed to better understand racial/ethnic differences in gambling disorder.

Access to Primary Health Care: A Comparison of the US and the UK

1986 ◽  
Vol 15 (3) ◽  
pp. 293-313 ◽  
Author(s):  
Frank Puffer
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Medical Care ◽  
Low Income ◽  
Household Income ◽  
Primary Medical Care ◽  
Physician Visits ◽  
Primary Health ◽  
The Us ◽  
The Uk

ABSTRACTThis paper examines the extent to which low household income influences access to primary health care in both the US and the UK. The basic approach is to ask whether, given data about a person's age, sex, and self-reported general health status and history, extra information about whether or not they come from a low-income household adds a statistically significant amount to the probability of their obtaining various amounts of primary medical care. The measure of primary medical care is derived from the number of physician visits and it, along with the other data, is drawn from the 1977 US National Medical Care Expenditure Survey and the 1980 UK General Household Survey. Although the two surveys cover different sample periods, they are similar enough to make comparisons between the two countries possible. The main conclusion drawn from the study is that low household income is not an important determinant of the actual use of primary health care resources. Only with subgroups of the low-income population (UK women and US relatively unhealthy individuals) does there appear to be a statistically significant effect, which is quite small in comparison to other factors.

Endurance of Transnationalism in Bolivia’s Valle Alto

2006 ◽  
Vol 3 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Richard C. Jones ◽  
Leonardo De la Torre
Keyword(s):  
Random Sample ◽  
Work Experience ◽  
Household Income ◽  
Return Migration ◽  
Ethnographic Interviews ◽  
The Us ◽  
Foreign Work ◽  
Intentions To Return ◽  
Economic Ties

The increasing difficulty of return migration and the demands for assimilation into host societies suggest a long-term cutting of ties to origin areas—likely accentuated in the Bolivian case by the recent shift in destinations from Argentina to the US and Spain. Making use of a stratified random sample of 417 families as well as ethnographic interviews in the provinces of Punata, Esteban Arze, and Jordán in the Valle Alto region the authors investigate these issues. Results suggest that for families with greater than ten years cumulated foreign work experience, there are significantly more absentees and lower levels of remittances as a percentage of household income. Although cultural ties remain strong after ten years, intentions to return to Bolivia decline markedly. The question of whether the dimunition of economic ties results in long-term village decline in the Valle Alto remains an unanswered.   

scholarly journals Examining Recent Trends in the Racial Disparity Gap in Tap Water Consumption: NHANES 2011–2018

2021 ◽  
pp. 1-20
Author(s):  
Asher Y. Rosinger ◽  
Anisha I. Patel ◽  
Francesca Weaks
Keyword(s):  
Water Consumption ◽  
Tap Water ◽  
Ethnic Disparities ◽  
Prevalence Ratio ◽  
Bottled Water ◽  
Water Crisis ◽  
Cross Sectional ◽  
The Us ◽  
Recent Trends ◽  
Nationally Representative

Abstract Objective As tap water distrust has grown in the US with greater levels among Black and Hispanic households, we aimed to examine recent trends in not drinking tap water including the period covering the US Flint Water Crisis and racial/ethnic disparities in these trends. Design Cross-sectional analysis. We used log-binomial regressions and marginal predicted probabilities examined US nationally-representative trends in tap and bottled water consumption overall and by race/ethnicity. Setting The National Health and Nutrition Examination Survey data, 2011–2018. Participants Nationally-representative sample of 9,439 children aged 2-19 and 17,268 adults. Results Among US children and adults, respectively, in 2017-2018 there was a 63% (adjusted prevalence ratio [PR]:1.63, 95%CI: 1.25-2.12, p<0.001) and 40% (PR:1.40, 95%CI: 1.16-1.69, p=0.001) higher prevalence of not drinking tap water compared to 2013-2014 (pre-Flint Water Crisis). For Black children and adults, the probability of not drinking tap water increased significantly from 18.1% (95%CI: 13.4-22.8) and 24.6% (95%CI: 20.7-28.4) in 2013–14 to 29.3% (95%CI: 23.5-35.1) and 34.5% (95%CI: 29.4-39.6) in 2017–2018. Among Hispanic children and adults, not drinking tap water increased significantly from 24.5% (95%CI: 19.4-29.6) and 27.1% (95%CI: 23.0-31.2) in 2013-14 to 39.7% (95%CI: 32.7-46.8) and 38.1% (95%CI: 33.0-43.1) in 2017-2018. No significant increases were observed among Asian or white persons between 2013-14 and 2017-18. Similar trends were found in bottled water consumption. Conclusions This study found persistent disparities in the tap water consumption gap from 2011–2018. Black and Hispanics’ probability of not drinking tap water increased following the Flint Water Crisis.

scholarly journals Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qun Miao ◽  
Sandra Dunn ◽  
Shi Wu Wen ◽  
Jane Lougheed ◽  
Jessica Reszel ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Congenital Heart Disease ◽  
Heart Disease ◽  
Household Income ◽  
Congenital Heart ◽  
Population Based ◽  
Income Poverty ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Chd Risk

Abstract Background This study aimed to examine the relationships between various maternal socioeconomic status (SES) indicators and the risk of congenital heart disease (CHD). Methods This was a population-based retrospective cohort study, including all singleton stillbirths and live births in Ontario hospitals from April 1, 2012 to March 31, 2018. Multivariable logistic regression models were performed to examine the relationships between maternal neighbourhood household income, poverty, education level, employment and unemployment status, immigration and minority status, and population density and the risk of CHD. All SES variables were estimated at a dissemination area level and categorized into quintiles. Adjustments were made for maternal age at birth, assisted reproductive technology, obesity, pre-existing maternal health conditions, substance use during pregnancy, rural or urban residence, and infant’s sex. Results Of 804,292 singletons, 9731 (1.21%) infants with CHD were identified. Compared to infants whose mothers lived in the highest income neighbourhoods, infants whose mothers lived in the lowest income neighbourhoods had higher likelihood of developing CHD (adjusted OR: 1.29, 95% CI: 1.20–1.38). Compared to infants whose mothers lived in the neighbourhoods with the highest percentage of people with a university or higher degree, infants whose mothers lived in the neighbourhoods with the lowest percentage of people with university or higher degree had higher chance of CHD (adjusted OR: 1.34, 95% CI: 1.24–1.44). Compared to infants whose mothers lived in the neighbourhoods with the highest employment rate, the odds of infants whose mothers resided in areas with the lowest employment having CHD was 18% higher (adjusted OR: 1.18, 95% CI: 1.10–1.26). Compared to infants whose mothers lived in the neighbourhoods with the lowest proportion of immigrants or minorities, infants whose mothers resided in areas with the highest proportions of immigrants or minorities had 18% lower odds (adjusted OR: 0.82, 95% CI: 0.77–0.88) and 16% lower odds (adjusted OR: 0.84, 95% CI: 0.78–0.91) of CHD, respectively. Conclusion Lower maternal neighbourhood household income, poverty, lower educational level and unemployment status had positive associations with CHD, highlighting a significant social inequity in Ontario. The findings of lower CHD risk in immigrant and minority neighbourhoods require further investigation.

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