Contextualizing Inequities in COVID Vaccination Trends Among Project REFOCUS Pilot Sites: Racism-Related Determinants of Health.

Introduction: Coronavirus disease (COVID) dashboards rarely provide insights about the racialized contexts in which vaccination inequities occur. Objective: The purpose of this study was to use the emerging Project REFOCUS dashboard to contextualize COVID vaccination patterns among 6 diverse communities. Methods: We queried the dashboard to generate descriptive statistics on vaccination trends and racism-related contextual factors among the 6 Project REFOCUS pilot sites (Albany, Georgia, Bronx, New York, Detroit, Michigan, Helena-West Helena, Arkansas, San Antonio, Texas, and Wake County, North Carolina). Results: Vaccination rates, demographic indicators, and contextual factors differed across sites. As of October 17, 2022, the proportion of people who had received at least 1 COVID vaccine dose ranged from 58.4% (Wayne County, Michigan) to 95.0% (Wake County, North Carolina). The pilot sites with the greatest percentage of Black residents (Dougherty County, Georgia, Wayne County, Michigan, and Phillips County, Arkansas) had lower proportions of fully vaccinated people. Wayne County, Michigan, had the highest level of residential segregation between Black and White residents (78.5%) and non-White and White residents (68.8%), whereas Phillips County, Arkansas, had the highest overall mortgage denial rates (38.9%). Both counties represent settings where over 75.0% of residents report Black race and over 30.0% of the population live in poverty. Discussion: The dashboard integrates racism-related factors with COVID vaccination visualizations and provides a fuller picture of the context in which COVID trends are occurring. Conclusions: Community organizers, researchers, policymakers, and practitioners can track racism-related factors and other social determinants of health as part of the contexts in which COVID-related inequities occur.

An Equity-Based Scoring System for Evaluating Surveillance-Related Harm in Public Health Crises.

Background: Although surveillance systems used to mitigate disasters serve essential public health functions, communities of color have experienced disproportionate harms (eg, criminalization) as a result of historic and enhanced surveillance. Methods: To address this, we developed and piloted a novel, equity-based scoring system to evaluate surveillance systems regarding their potential and actual risk of adverse effects on communities made vulnerable through increased exposure to policing, detention/incarceration, deportation, and disruption of access to social services or public resources. To develop the scoring system, we reviewed the literature and surveyed an expert panel on surveillance to identify specific harms (eg, increased policing) that occur through surveillance approaches. Results: Scores were based on type of information collected (individual and/or neighborhood level) and evidence of sharing information with law enforcement. Scores were 0 (no risk of harm identified), 1 (potential for risk), 2 (evidence of risk), and U (data not publicly accessible). To pilot the scoring system, 44 surveillance systems were identified between June 2020 and October 2020 through an environmental scan of systems directly related to COVID-19 (n=21), behavioral and health-related services (n=11), and racism and racism-related factors (n=12). A score of 0-2 was assigned to 91% (n=40) of the systems; 9% were scored U; 30% (n=13) scored a 0. Half scored a 1 (n=22), indicating a "potential for the types of harm of concern in this analysis." "Evidence of harm," a score of 2, was found for 12% (n=5). Conclusions: The potential for surveillance systems to compromise the health and well-being of racialized and/or vulnerable populations has been understudied. This project developed and piloted a scoring system to accomplish this equity-based imperative. The nobler pursuits of public health to improve the health for all must be reconciled with these potential harms.

Corrigendum: Poultry diseases diagnostics models using deep learning.

[This corrects the article DOI: 10.3389/frai.2022.733345.].

Association between immigration enforcement encounters and COVID-19 testing and delays in care: a cross-sectional study of undocumented young adult immigrants in california.

BACKGROUND: Undocumented immigrants are expected to face increased risks related to COVID-19 due to marginalizing restrictive immigration policies. However, few studies have assessed the prevalence of direct encounters with the immigration enforcement system among the undocumented and its impacts on their COVID-related health behaviors and outcomes. In this study, we quantify undocumented immigrants' lifetime exposure to various immigration enforcement tactics and their association with delays in COVID-19 testing and healthcare behaviors. METHODS: This cross-sectional study included a non-random sample of 326 Asian and Latinx undocumented immigrants in California from September 2020 to February 2021. The primary exposure was immigration enforcement encounter scores ranging from 0-9, assessed through self-reports of direct experiences with the immigration system, immigration officials, and law enforcement. The main outcomes were positive test for COVID-19, had or suspected having COVID-19, and delayed or avoided testing and/or treatment for COVID-19 due to immigration status. We used multivariable logistic regression models to examine the association between the primary exposure and outcomes of interest. RESULTS: Among 326 participants, 7% had received a positive COVID-19 test result, while 43% reported having or suspected having COVID-19. Almost 13% delayed or avoided COVID-19 testing and/or treatment because of their immigration status. Overall, an increase in immigration enforcement encounters was associated with higher odds of suspecting having had COVID-19 (aOR = 1.13; 95% CI: 1.01,1.26). Reporting an additional enforcement encounter was associated with higher odds of delaying or avoiding testing and/or treatment because of immigration status (aOR = 1.53, 95% CI: 1.26,1.86). Compared to their Latino counterparts, Asian respondents were more likely to report higher odds of delaying or avoiding testing and/or treatment (aOR = 3.13, 95% CI: 1.17,8.42). There were no significant associations between the enforcement score and testing positive for COVID-19. Additionally, while Latinxs were more likely to report immigration enforcement encounters than Asians, there were no differences in the effects of race on COVID-19 testing and healthcare behaviors in models with race as an interaction term (p < 0.05). CONCLUSIONS: Immigration enforcement encounters compound barriers to COVID-19 testing and treatment for undocumented immigrants.

Poultry diseases diagnostics models using deep learning.

Coccidiosis, Salmonella, and Newcastle are the common poultry diseases that curtail poultry production if they are not detected early. In Tanzania, these diseases are not detected early due to limited access to agricultural support services by poultry farmers. Deep learning techniques have the potential for early diagnosis of these poultry diseases. In this study, a deep Convolutional Neural Network (CNN) model was developed to diagnose poultry diseases by classifying healthy and unhealthy fecal images. Unhealthy fecal images may be symptomatic of Coccidiosis, Salmonella, and Newcastle diseases. We collected 1,255 laboratory-labeled fecal images and fecal samples used in Polymerase Chain Reaction diagnostics to annotate the laboratory-labeled fecal images. We took 6,812 poultry fecal photos using an Open Data Kit. Agricultural support experts annotated the farm-labeled fecal images. Then we used a baseline CNN model, VGG16, InceptionV3, MobileNetV2, and Xception models. We trained models using farm and laboratory-labeled fecal images and then fine-tuned them. The test set used farm-labeled images. The test accuracies results without fine-tuning were 83.06% for the baseline CNN, 85.85% for VGG16, 94.79% for InceptionV3, 87.46% for MobileNetV2, and 88.27% for Xception. Finetuning while freezing the batch normalization layer improved model accuracies, resulting in 95.01% for VGG16, 95.45% for InceptionV3, 98.02% for MobileNetV2, and 98.24% for Xception, with F1 scores for all classifiers above 75% in all four classes. Given the lighter weight of the trained MobileNetV2 and its better ability to generalize, we recommend deploying this model for the early detection of poultry diseases at the farm level.

Immigration enforcement exposures and COVID-19 vaccine intentions among undocumented immigrants in California.

COVID-19 vaccines are effective in preventing COVID-19 infection, disease, and death. However, there is no data about vaccine intentions among the 10.7 million undocumented immigrants in the US. This study examined the associations between immigration enforcement exposure and vaccine intentions among undocumented immigrants in California. This community-engaged study partnered with immigrant organizations across California during the COVID-19 pandemic to recruit 366 study participants to an online survey regarding their attitudes about the COVID-19 vaccine and past exposure with the immigration enforcement system. Data collection occurred from September 2020 - February 2021 before the vaccine became available. Overall, 65% of study participants indicated that they would definitely get the vaccine were it to become available. In multivariable logistic regressions, an increase in immigration enforcement scores were associated with a 12% decrease in vaccine acceptance (aOR = 0.88, CI: 0.78-0.99). Additionally, undocumented women were 3.09 times more likely to report vaccine acceptance compared to undocumented men (CI: 1.79-5.35) and undocumented Asians were 57% less likely to report vaccine acceptance compared to undocumented Latinx immigrants (aOR = 0.43, CI: 0.21-0.88). Exposure to the immigration enforcement system may undermine public health efforts to prevent further transmission of COVID-19 by reducing acceptability of vaccines among immigrant populations.

Using COVID-19 Surveillance Systems to Identify and Monitor Disparities: Best Practices and Recommendations.

Inadequate attention to racial health equity is a common challenge to effective, reliable monitoring and mitigation of COVID-19 disparities. Efforts to monitor and mitigate COVID-19 disparities continue to be hampered by inadequacies in how surveillance systems collect, tabulate, and report COVID-19-related outcomes. We conducted environmental scans of existing public health surveillance systems and reporting standards, literature reviews, focus groups with surveillance experts, and consultations with the Centers for Disease Control and Prevention (CDC) and an expert panel on surveillance to identify and explore strengths, weaknesses, and gaps in how existing systems monitor COVID-19 and their implications for addressing disparities in related outcomes. We present recommendations based on these reviews and propose a core minimum set of health indicators and best-practice standards for reporting these indicators by COVID-19 surveillance systems to monitor racial/ethnic and other disparities in the pandemic. These recommendations are relevant to monitoring disparities in the ongoing COVID-19 pandemic and may inform monitoring of future epidemics. This discussion is part of an effort by Project REFOCUS to develop syndemic surveillance systems for monitoring the intersecting pandemics of COVID-19 and racism.

Migration and the Health of Non-migrant Family: Findings from the Jamaica Return(ed) Migrants Study.

Research on the association between migration and health among nonmigrant family in Jamaica is limited. Data from the 2012 Jamaica Return(ed) Migrants Study (N = 621) and weighted regression models were used to investigate the association between migration and health among left-behind women (n = 323) and men (n = 298) in Jamaica. Compared to women whose children lived in Jamaica, women who had a child abroad reported lower odds of good mental health (OR = 0.46, 95% CI 0.21, 0.97). Men in this situation were less satisfied with their lives (b = - 2.370, p = 0.031). Women reported better physical (b = - 2.113, p = 0.010) and mental (b = - 3.119, p = 0.039) health scores when a parent, but not a grandparent, lived abroad. Men with a migrant spouse/partner reported significantly more physical illness symptoms than men whose spouse/partner lived in Jamaica (b = 3.215, p = 0.013). Migration exerts disparate health impacts on left-behind family and may disrupt social relationships.

Adequacy of Existing Surveillance Systems to Monitor Racism, Social Stigma and COVID Inequities: A Detailed Assessment and Recommendations.

The populations impacted most by COVID are also impacted by racism and related social stigma; however, traditional surveillance tools may not capture the intersectionality of these relationships. We conducted a detailed assessment of diverse surveillance systems and databases to identify characteristics, constraints and best practices that might inform the development of a novel COVID surveillance system that achieves these aims. We used subject area expertise, an expert panel and CDC guidance to generate an initial list of N > 50 existing surveillance systems as of 29 October 2020, and systematically excluded those not advancing the project aims. This yielded a final reduced group (n = 10) of COVID surveillance systems (n = 3), other public health systems (4) and systems tracking racism and/or social stigma (n = 3, which we evaluated by using CDC evaluation criteria and Critical Race Theory. Overall, the most important contribution of COVID-19 surveillance systems is their real-time (e.g., daily) or near-real-time (e.g., weekly) reporting; however, they are severely constrained by the lack of complete data on race/ethnicity, making it difficult to monitor racial/ethnic inequities. Other public health systems have validated measures of psychosocial and behavioral factors and some racism or stigma-related factors but lack the timeliness needed in a pandemic. Systems that monitor racism report historical data on, for instance, hate crimes, but do not capture current patterns, and it is unclear how representativeness the findings are. Though existing surveillance systems offer important strengths for monitoring health conditions or racism and related stigma, new surveillance strategies are needed to monitor their intersecting relationships more rigorously.

Emergency medicine: magnesium sulphate injections and their pharmaceutical quality concerns.

OBJECTIVES: World Health Organization has recognized magnesium sulphate as the drug of choice for prevention and treatment of fits associated with preeclampsia and eclampsia which are amongst the leading causes of maternal morbidity and mortality. In this study, the pharmaceutical quality of magnesium sulphate injections marketed in Anambra state was assessed. METHODS: Ninety samples of magnesium sulphate obtained from the 3 senatorial zones in Anambra state were subjected to identification tests, microbiological analysis consisting of Growth promotion test, sterility and endotoxin test. Content analysis using titrimetric method and pH analysis were also carried out on the samples. RESULTS: Twenty percent (20%) of samples obtained from Onitsha failed identification test as they had no Registration number in Nigeria. All samples subjected to the microbiology tests (sterility and endotoxin test) passed. Twenty percent (20%) and thirty-three percent (33.3%) of samples sourced from Onitsha and Nnewi respectively failed the pH analysis test. All the samples passed microbiological tests and had their Active Pharmaceutical Ingredients (API) within the acceptable limit. CONCLUSIONS: This study reveals that there are still some substandard magnesium sulphate injections in circulation in the locality. The supply chain of these drugs should be monitored to ensure a reduction in the incidences of substandard magnesium sulphate and positive therapeutic outcome which translates to reduced maternal mortality associated with pre-eclampsia and eclampsia in Nigeria.

Duration of United States Residence and Self-Reported Health Among African-Born Immigrant Adults.

Although researchers have found an inverse relationship between length of U.S. residence and health, research on this issue among African-born immigrants is limited. Data from the 2011-2015 National Health Interview Surveys were pooled for African-born immigrants (N = 1137) and used to estimate weighted ordinary least squares regression models on self-reported health, adjusting for common immigrant health predictors. Length of U.S. residence was associated with significant health status declines only among those that had lived in the U.S. for 10 to less than 15 years (b = - 0.235, p < 0.05), net of covariates. African-born immigrants may have both different selection processes than other immigrants and not follow common integration patterns. These findings suggest that existing immigrant health frameworks may need modification to fully apply to this growing U.S. immigrant population.

The pandemic COVID-19: a tale of viremia, cellular oxidation and immune dysfunction.

COVID-19, caused by SARS-CoV-2 is a tester of the immune system. While it spares the healthy, it brings severe morbidity and in a few cases, mortality to its victims. This article aims at critically reviewing the key virulence factors of COVID-19 which are the viremia, cellular oxidation and immune dysfunction. The averse economic effect of certain disease control measures such as national lock-downs and social distancing, though beneficial, makes them unsustainable. Worse still is the fact that wild animals and domestic pets are carriers of SARS-CoV-2 suggesting that the disease would take longer than expected to be eradicated globally. A better understanding of the pathological dynamics of COVID-19 would help the general populace to prepare for possible infection by the invisible enemy. While the world prospects for vaccines and therapeutic agents against the SARS-CoV-2, clinicians should also seek to modulate the immune system for optimum performance. Immunoprophylactic and immunomodulatory strategies are recommended for the different strata of stakeholders combating the pandemic with the hope that morbidities and mortalities associated with COVID-19 would be drastically reduced.

The Influence of Social Supports on Graduate Student Persistence in Biomedical Fields.

Pathways to biomedical careers are not being pursued with equal vigilance among all students. Emerging research shows that historically underrepresented (HU) students who maintain a strong science identity are more likely to persist. However, the influence of social support on persistence is less studied, especially as it relates to science identity among doctoral students. To fill this gap, a 1-year study to assess similarities and differences among 101 HU and majority biomedical doctoral students was conducted to measure the extent to which 1) they report equivalent experiences of social support, science identity, and intentions to persist; 2) their experiences of social support predict intentions to persist 1 year later; and 3) science identity mediates the relationship between social support and intentions to persist in biomedical career pathways. Data were collected using online surveys. Results indicated that science identity significantly mediated the relationship between professional network support and persistence a year later for majority students. In contrast, for HU students, science identity mediated the relationship between instrumental, psychosocial, friend and family support, and persistence a year later. These study results provide evidence that reinforcing mentoring programs and support systems will be beneficial, especially for HU students.

Adherence to Emergency Public Health Measures for Bioevents: Review of US Studies.

The frequency of bioevents is increasing worldwide. In the United States, as elsewhere, control of contagion may require the cooperation of community members with emergency public health measures. The US general public is largely unfamiliar with these measures, and our understanding of factors that influence behaviors in this context is limited. The few previous reviews of research on this topic focused on non-US samples. For this review, we examined published research on the psychosocial influences of adherence in US sample populations. Of 153 articles identified, only 9 met the inclusion criteria. Adherence behaviors were categorized into 2 groups: self-protective behaviors (personal hygiene, social distancing, face mask use, seeking out health care advice, and vaccination) and protecting others (isolation, temperature screening, and quarantine). A lack of uniformity across studies regarding definitions and measures was noted. Only 5 of the 9 articles reported tests of association between adherence with emergency measures and psychosocial factors; perceived risk and perceived seriousness were found to be significantly associated with adherence or adherence intentions. Although it is well documented that psychosocial factors are important predictors of protective health behaviors in general, this has not been rigorously studied in the context of bioevents. (Disaster Med Public Health Preparedness. 2018;12:528-535).

Psychosocial Influences on Disaster Preparedness in San Francisco Recipients of Home Care.

Disasters disproportionately impact certain segments of the population, including children, pregnant women, people living with disabilities and chronic conditions and those who are underserved and under-resourced. One of the most vulnerable groups includes the community-dwelling elderly. Post-disaster analyses indicate that these individuals have higher risk of disaster-related morbidity and mortality. They also have suboptimal levels of disaster preparedness in terms of their ability to shelter-in-place or evacuate to a shelter. The reasons for this have not been well characterized, although impaired health, financial limitations, and social isolation are believed to act as barriers to preparedness as well as to adaptability to changes in the environment both during and in the immediate aftermath of disasters. In order to identify strategies that address barriers to preparedness, we recently conducted a qualitative study of 50 elderly home care recipients living in San Francisco. Data were collected during in-home, in-person interviews using a semi-structured interview guide that included psychosocial constructs based on the social cognitive preparedness model and a new 13-item preparedness checklist. The mean preparedness score was 4.74 (max 13, range 1-11, SD. 2.11). Over 60 % of the participants reported that they had not made back-up plans for caregiver assistance during times of crisis, 74 % had not made plans for transportation to a shelter, 56 % lacked a back-up plan for electrical equipment in case of power outages, and 44 % had not prepared an emergency contacts list-the most basic element of preparedness. Impairments, disabilities, and resource limitations served as barriers to preparedness. Cognitive processes that underlie motivation and intentions for preparedness behaviors were lacking. There were limitations with respect to critical awareness of hazards (saliency), self-efficacy, outcome expectancy, and perceived responsibility. There was also a lack of trust in response agencies and authorities and a limited sense of community. Participants wanted to be prepared and welcomed training, but physical limitations kept many of them home bound. Training of home care aides, the provision of needed resources, and improved community outreach may be helpful in improving disaster outcomes in this vulnerable segment of the population.

Experiences and Psychosocial Impact of West Africa Ebola Deployment on US Health Care Volunteers.

BACKGROUND:  This qualitative study was designed to assess health care volunteers' experiences and psychosocial impacts associated with deployment to the West Africa Ebola epidemic. METHODS: In 2015, using snowball sampling, 16 US health care volunteers who had recently returned from West Africa were recruited for this study. Semi-structured interviews were conducted to collect information associated with each phase of deployment (pre, peri, and post). RESULTS: Participants reported that they were motivated to volunteer because of a sense of responsibility and feelings of empathy and altruism. Immediately prior to deployment, most reported fear of contagion and death, as well as doubts regarding the adequacy of their training. Family members and close friends expressed high levels of concern regarding participants' decisions to volunteer. During the deployment, participants were fearful of exposure and reported feeling emotionally and physically exhausted. They also reported feeling frustrated by extreme resource limitations, poor management of the mission, lack of clearly defined roles and responsibilities, and inability to provide high quality care. Upon return home, participants felt a sense of isolation, depression, stigmatization, interpersonal difficulties, and extreme stress. CONCLUSION:  Preparedness of volunteers was suboptimal at each stage of deployment. All stakeholders, including volunteers, sponsoring organizations, government agencies, and professional organizations have a shared responsibility in ensuring that volunteers to medical missions are adequately prepared. This is especially critical for high risk deployments. Effective policies and practices need to be developed and implemented in order to protect the health and well-being of health care volunteers to the fullest extent possible.