Sex Disparities in COVID-19 Mortality Vary Across US Racial Groups

A scoping review on the operationalization of intersectional health research methods in studies related to the COVID-19 pandemic

PURPOSE

The COVID-19 pandemic began in early 2020 and became a global health crisis with devastating impacts. This scoping review maps the key findings of research about the pandemic that has operationalized intersectional research methods around the world. It also tracks how these studies have engaged with methodological tenets of oppression, comparison, relationality, complexity, and deconstruction.

METHODS

Our search resulted in 14,487 articles, 5164 of which were duplicates, and 9297 studies that did not meet the inclusion criteria were excluded. In total, 14 articles were included in this review. We used thematic analysis to analyse themes within this work and Misra et al. (2021) intersectional research framework to analyse the uptake of intersectional methods within such studies.

RESULTS

The research related to the COVID-19 pandemic globally is paying attention to issues around the financial impacts of the pandemic, discrimination, gendered impacts, impacts of and on social ties, and implications for mental health. We also found strong uptake of centring research in the context of oppression, but less attention is being paid to comparison, relationality, complexity, and deconstruction.

CONCLUSIONS

Our findings show the importance of intersectional research within public health policy formation, as well as room for greater rigour in the use of intersectional methods.

Excess deaths associated with COVID-19 by rurality and demographic factors in the United States

PURPOSE

To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity.

METHODS

Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods.

FINDINGS

There were 16.9% (95% confidence interval [CI]: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% [18.1, 18.4], large fringe metro: 15.6% [15.5, 15.8], medium metro: 18.1% [18.0, 18.3], small metro: 15.5% [15.3, 15.7], micropolitan rural: 16.3% [16.1, 16.5], and noncore rural: 15.8% [15.6, 16.1]). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% [49.0, 49.6]), followed by non-Hispanic Black persons (28% [27.5, 27.9]) and non-Hispanic White persons (12% [11.6, 11.8]). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022.

CONCLUSION

Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.

Gender/Sex Disparities in the COVID-19 Cascade From Testing to Mortality: An Intersectional Analysis of Swiss Surveillance Data

Objectives

This study investigates gender and sex disparities in COVID-19 epidemiology in the Canton of Vaud, Switzerland, focusing on the interplay with socioeconomic position (SEP) and age.

Methods

We analyzed COVID-19 surveillance data from March 2020 to June 2021, using an intersectional approach. Negative binomial regression models assessed disparities between women and men, across SEP quintiles and age groups, in testing, positivity, hospitalizations, ICU admissions, and mortality (Incidence Rate Ratios [IRR], with 95% Confidence Intervals [CI]).

Results

Women had higher testing and positivity rates than men, while men experienced more hospitalizations, ICU admissions, and deaths. The higher positivity in women under 50 was mitigated when accounting for their higher testing rates. Within SEP quintiles, gender/sex differences in testing and positivity were not significant. In the lowest quintile, women's mortality risk was 68% lower (Q1: IRR 0.32, CI 0.20-0.52), with decreasing disparities with increasing SEP quintiles (Q5: IRR 0.66, CI 0.41-1.06).

Conclusion

Our findings underscore the complex epidemiological patterns of COVID-19, shaped by the interactions of gender/sex, SEP, and age, highlighting the need for intersectional perspectives in both epidemiological research and public health strategy development.

Sex- and Gender-Based Analysis on Norepinephrine Use in Septic Shock: Why Is It Still a Male World?

Sex and gender are fundamental health determinants and their role as modifiers of treatment response is increasingly recognized. Norepinephrine is a cornerstone of septic shock management and its use is based on the highest level of evidence compared to dopamine. The related 2021 Surviving Sepsis Campaign (SCC) recommendation is presumably applicable to both females and males; however, a sex- and gender-based analysis is lacking, thus not allowing generalizable conclusions. This paper was aimed at exploring whether sex- and gender-disaggregated data are available in the evidence supporting this recommendation. For all the studies underpinning it, four pairs of authors, including a woman and a man, extracted data concerning sex and gender, according to the Sex and Gender Equity in Research guidelines. Nine manuscripts were included with an overall population of 2126 patients, of which 43.2% were females. No sex analysis was performed and gender was never reported. In conclusion, the present manuscript highlighted that the clinical studies underlying the SCC recommendation of NE administration in septic shock have neglected the likely role of sex and gender as modifiers of treatment response, thus missing the opportunity of sex- and gender-specific guidelines.

A Mixed-Methods Analysis of Coercive Control and COVID-19 Stress Among Black Women Experiencing Intimate Partner Violence During the COVID-19 Pandemic

OBJECTIVE

During times of crises, women are at elevated risk for intimate partner violence (IPV), but extant discourse fails to consider how this landscape amplifies disparities for Black women. This study examined the prevalence and associations of COVID-19 pandemic-specific coercive control and COVID-19-related stress among Black women experiencing IPV.

METHODS

Fifty-five Black women reporting past-year IPV participated in a prospective cohort study in 2020 and completed surveys on pandemic-specific coercive control, COVID-19-related stress, and sociodemographic characteristics. A subset of 15 participants completed semi-structured interviews in 2021. We conducted multivariable regression analyses to examine associations between coercive control and stress. We used interpretive phenomenological analysis to contextualize women's experiences of coercive control and stress during the pandemic.

RESULTS

In the past 3 months, 76% (42 of 55) of women had a partner blame them for exposing them to COVID-19, 74% (41 of 55) had a partner minimize their pandemic concerns, and 52% (29 of 55) had a partner prevent them from getting a COVID-19 test. A higher average of pandemic-specific coercive control was associated with greater severity of COVID-19-related traumatic stress (b [SE] = 0.033 [0.009]; P = .001) and socioeconomic consequences related to COVID-19 (b [SE] = 0.019 [0.008]; P = .03). We identified 3 superordinate themes that illustrated Black women's experiences: (1) coercive control, (2) pandemic-driven shifts in relational context, and (3) women's structural and psychosocial stressors.

CONCLUSIONS

Experiencing coercive control during the pandemic interfered with Black women's engagement in preventive behaviors, which exacerbated distress. Intersectional public health efforts should address sociostructural and relational factors to prevent coercive control and stress among Black women experiencing IPV.

COVID-19's Unequal Toll: Differences in Health-Related Quality of Life by Gendered and Racialized Groups

We examine whether the COVID-19 pandemic was associated with changes to daily activity limitations due to poor physical or mental health and whether those changes were different within and between gendered and racialized groups. We analyze 497,302 observations across the 2019 and 2020 waves of the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System survey. Among White men and women, the COVID-19 pandemic was associated with fewer days of health-related activity limitations and decreased frequent activity limitation (≥14 days in the past month) compared to the prepandemic period. By contrast, Latina and Black women experienced increased days of activity limitation and greater likelihood of frequent activity limitation, and these changes were significantly different than for White women. These findings are robust to the inclusion of structural inequality measures and demonstrate how systemic racism and sexism likely exacerbate a myriad of pandemic-related health problems.

Evaluation of clinically relevant serum proteins as biomarkers for monitoring COVID-19 severity, and end-organ damage among hospitalized unvaccinated patients

BACKGROUND

The extensive variability and conflicting information in Coronavirus Disease 2019 (COVID-19) patient data have made it difficult for the medical community to gain a comprehensive understanding and develop clear, reliable guidelines for managing COVID-19 cases. As the world uncovers the diverse side effects of the pandemic, the pursuit of knowledge about COVID-19 has become crucial. The present study aimed to evaluate some clinically relevant serum proteins, providing analysis of the obtained results to employ them in the diagnosis, prognosis, and disease monitoring among COVID-19 patients.

METHODS

Samples were collected from 262 COVID-19 unvaccinated hospitalized patients. Measurement of certain serum proteins, namely C-reactive protein (CRP), ferritin, D-dimer, procalcitonin, interleukin-6 (IL-6), serum creatinine (SCr), alanine transaminase (ALT), aspartate transaminase (AST) was done using standard methods. Statistical analysis was performed on the obtained data and the results were correlated to the severity and prognosis.

RESULTS

The calculated Mortality rate was found to be 30% with a higher percentage observed among females. The results showed elevation in serum CRP, ferritin, D-dimer, and procalcitonin in most of the patients, also some patients had elevated SCr, ALT, and AST levels indicating end-organ damage. The statistical analysis displayed a strong correlation between serum levels of CRP and ferritin, between D-dimer and ferritin, and between ferritin and procalcitonin. No significant difference was observed between male and female patients' serum levels of the tested serum proteins. A significant correlation between increased serum procalcitonin and mortality was observed.

CONCLUSION

The levels of measured serum proteins were impacted by SARS-CoV-2 infection. Serum ferritin, CRP, D-dimer, and procalcitonin are good predicting tools for end-organ damage and acute kidney impairment in COVID-19. Procalcitonin is a strong indicator of severity and mortality in hospitalized COVID-19 patients.

Housing insecurity among black women surviving intimate partner violence during the COVID-19 pandemic: an intersectional qualitative approach

BACKGROUND

Housing instability is highly prevalent among intimate partner violence (IPV) survivors, and the coupling consequences of structural racism, sexism, classism, and the COVID-19 pandemic, may create more barriers to safe and adequate housing, specifically for Black women IPV survivors. In particular, the consequences of the COVID-19 pandemic had the potential to amplify disadvantages for Black women IPV survivors, yet very little research has acknowledged it. Therefore, the current study sought to assess the experiences of housing insecurity among Black women experiencing intimate partner violence (IPV) while navigating racism, sexism, and classism during the COVID-19 pandemic.

METHODS

From January to April 2021, we conducted in-depth interviews with 50 Black women experiencing IPV in the United States. Guided by intersectionality, a hybrid thematic and interpretive phenomenological analytic approach was used to identify sociostructural factors shaping housing insecurity.

RESULTS

Our findings demonstrate the various ways in which the COVID-19 pandemic shaped Black women IPV survivors' ability to obtain and sustain safe housing. We derived five themes to capture factors contributing to housing experiences: challenges with separate and unequal neighborhoods; pandemic-related economic inequalities; economic abuse limitations; and strategies to maintain housing.

CONCLUSIONS

Obtaining and maintaining safe housing during the COVID-19 pandemic was difficult for Black women IPV survivors who were also navigating racism, sexism, and socioeconomic position. Interventions are needed to reduce the impact of these intersecting systems of oppression and power to facilitate the resources necessary for Black women IPV survivors to identify safe housing.

SARS-CoV-2 immunity in animal models

The COVID-19 pandemic, which was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become a worldwide health crisis due to its transmissibility. SARS-CoV-2 infection results in severe respiratory illness and can lead to significant complications in affected individuals. These complications encompass symptoms such as coughing, respiratory distress, fever, infectious shock, acute respiratory distress syndrome (ARDS), and even multiple-organ failure. Animal models serve as crucial tools for investigating pathogenic mechanisms, immune responses, immune escape mechanisms, antiviral drug development, and vaccines against SARS-CoV-2. Currently, various animal models for SARS-CoV-2 infection, such as nonhuman primates (NHPs), ferrets, hamsters, and many different mouse models, have been developed. Each model possesses distinctive features and applications. In this review, we elucidate the immune response elicited by SARS-CoV-2 infection in patients and provide an overview of the characteristics of various animal models mainly used for SARS-CoV-2 infection, as well as the corresponding immune responses and applications of these models. A comparative analysis of transcriptomic alterations in the lungs from different animal models revealed that the K18-hACE2 and mouse-adapted virus mouse models exhibited the highest similarity with the deceased COVID-19 patients. Finally, we highlighted the current gaps in related research between animal model studies and clinical investigations, underscoring lingering scientific questions that demand further clarification.

Removal of Soluble ACE2 in VeroE6 Cells by 17β-Estradiol Reduces SARS-CoV-2 Infectivity

Women are less susceptible than men to coronavirus disease 2019 (COVID-19), which might be due to the female steroid hormone 17β-estradiol. We hypothesized that 17β-estradiol removes the soluble portion of angiotensin-converting enzyme 2 (sACE2) to which severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds in host cells and that sACE2 then binds to the virus, thereby reducing the infectivity. In the present study, VeroE6/serine protease 2 transmembrane protein (TMPRSS2) cells were infected with pseudo SARS-CoV-2 viruses and used as our model system. This infectivity was reduced by the application of 17β-estradiol. After applying 17β-estradiol to the VeroE6/TMPRSS2 cells, we used a sandwich enzyme-linked immunosorbent assay (ELISA) to measure the sACE2 concentration in the culture medium. Our findings revealed that 17β-estradiol removes sACE2 from VeroE6/TMPRSS2 cells. Furthermore, the pseudo SARS-CoV-2 viruses were incubated in culture medium with ACE2 collected from 17β-estradiol-treated VeroE6/TMPRSS2 cells, and the viruses were measured with an ultrasensitive ELISA using anti-spike protein antibodies. The amount of spike proteins decreased according to the concentration of 17β-estradiol applied. These results clearly demonstrated that the soluble portion of ACE2, which was removed from 17β-estradiol-treated VeroE6/TMPRSS2 cells, bound to the spike proteins of SARS-CoV-2, thereby reducing COVID-19 infectivity.

COVID-19 Case, Death, and Vaccination Rate Disparities by Race and Ethnicity in Virginia

This paper tracks trends in COVID-19 case, death, and vaccination rate disparities by race and ethnicity in Virginia during the COVID-19 pandemic. COVID-19 case, death, and vaccination rates were obtained from electronic state health department records from March 2020 to February 2022. Rate ratios were then utilized to quantify racial and ethnic disparities for several time periods during the pandemic. The Hispanic population had the highest COVID-19 case and age-adjusted death rates, and the lowest vaccination rates at the beginning of the pandemic in Virginia. These disparities resolved later in the pandemic. COVID-19 case and death rates among the Black population were also higher than those of the White population and these disparities remained throughout the pandemic. Racial and ethnic disparities changed over time in Virginia as vaccination coverage and public health policies evolved. Year 2 of the analysis saw lower case and death rates, and higher vaccination rates for non-White populations in Virginia. Public health strategies need to be addressed during the pandemic and developed before the next pandemic to ensure that large racial and ethnic disparities are not again present at the outset.

Understanding COVID-19 Vaccine Knowledge, Beliefs, and Trusted Information Sources Among Black Women in Kentucky: Implications for Vaccine Uptake

To optimize COVID-19 vaccination rates among Black women in the United States, it is crucial to understand their vaccine beliefs and determine the most effective communication sources and messages to encourage vaccination. Consequently, we conducted seven focus groups with 20 Black women from Kentucky (aged 18-37 years) between October and November 2020. We identified five themes reflecting the participants' level of awareness, knowledge of the vaccine and vaccine development process; their uncertainty about vaccine safety and clinical trials; their willingness to get vaccinated, and their preferences for trusted sources and persuasive messages to motivate vaccine uptake. Despite the participants' high level of awareness about the vaccine's development, significant concerns were identified regarding the speed of the vaccine's development and clinical trials, known medical injustices against Black people, political influence, vaccine efficacy, and potential side effects that fed their unwillingness to vaccinate. Based on our findings, we recommend vaccination campaigns targeting Black women should prioritize messaging highlighting the benefits and limitations of the vaccine while emphasizing its protective benefits for self, family, and community. Campaigns should also include Black healthcare providers as sources of messages. The findings have additional implications for encouraging continued confidence in the vaccine and improving uptake.

A chronological review of COVID-19 case fatality rate and its secular trend and investigation of all-cause mortality and hospitalization during the Delta and Omicron waves in the United States: a retrospective cohort study

Introduction

Coronavirus disease 2019 (COVID-19) has caused more than 690 million deaths worldwide. Different results concerning the death rates of the Delta and Omicron variants have been recorded. We aimed to assess the secular trend of case fatality rate (CFR), identify risk factors associated with mortality following COVID-19 diagnosis, and investigate the risks of mortality and hospitalization during Delta and Omicron waves in the United States.

Methods

This study assessed 2,857,925 individuals diagnosed with COVID-19 in the United States from January 2020, to June 2022. The inclusion criterion was the presence of COVID-19 diagnostic codes in electronic medical record or a positive laboratory test of the SARS-CoV-2. Statistical analysis was bifurcated into two components, longitudinal analysis and comparative analysis. To assess the discrepancies in hospitalization and mortality rates for COVID-19, we identified the prevailing periods for the Delta and Omicron variants.

Results

Longitudinal analysis demonstrated four sharp surges in the number of deaths and CFR. The CFR was persistently higher in males and older age. The CFR of Black and White remained higher than Asians since January 2022. In comparative analysis, the adjusted hazard ratios for all-cause mortality and hospitalization were higher in Delta wave compared to the Omicron wave. Risk of all-cause mortality was found to be greater 14-30 days after a COVID-19 diagnosis, while the likelihood of hospitalization was higher in the first 14 days following a COVID-19 diagnosis in Delta wave compared with Omicron wave. Kaplan-Meier analysis revealed the cumulative probability of mortality was approximately 2-fold on day 30 in Delta than in Omicron cases (log-rank p < 0.001). The mortality risk ratio between the Delta and Omicron variants was 1.671 (95% Cl 1.615-1.729, log-rank p < 0.001). Delta also had a significantly increased mortality risk over Omicron in all age groups. The CFR of people aged above 80 years was extremely high as 17.33%.

Conclusion

Male sex and age seemed to be strong and independent risk factors of mortality in COVID-19. The Delta variant appears to cause more hospitalization and death than the Omicron variant.

Risk analysis of COVID-19 hospitalization and critical care by race and region in the United States: a cohort study

BACKGROUND

This study aimed to identify the current risk factors for coronavirus disease 2019 severity and examine its association with medication use.

METHODS

We used data from a large United States electronic health record database to conduct an anonymized cohort study of 171,491 patients with coronavirus disease 2019. The study was conducted from January 1, 2020, to August 27, 2021. Data on age, race, sex, history of diseases, and history of medication prescriptions were analyzed using the Cox proportional hazards model analysis to calculate hazard ratios for hospitalization and severe risk.

RESULTS

Factors that increased the risk of hospitalization and critical care were age ≥ 65 years, male sex, type 2 diabetes, hypertension, interstitial pneumonia, and cardiovascular disease. In particular, age ≥ 65 years significantly increased the risk of hospitalization (hazard ratio, 2.81 [95% confidence interval, 2.58-3.07]; P < 0.001) and critical care (hazard ratio, 3.45 [2.88-4.14]; P < 0.001). In contrast, patients with hyperlipidemia had a reduced risk. However, patients with hyperlipidemia who were not taking statins had a significantly increased risk of hospitalization (hazard ratio, 1.24 [1.16-1.34]; P < 0.001). Sodium-glucose cotransporter-2 inhibitors, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, glucocorticoids, and statins significantly reduced the risk of hospitalization and critical care. The risk of hospitalization and critical care increased in patients of all ethnicities with type 2 diabetes. The factors that significantly increased the risk of hospitalization in all regions were older age, hypertension, chronic obstructive pulmonary disease, and cardiovascular disease.

CONCLUSION

This study identified factors that increase or reduce the risk of severe coronavirus disease. The provision of appropriate drug treatment and modification of lifestyle-related risk factors may reduce coronavirus disease severity.

Microbiome and intestinal pathophysiology in post-acute sequelae of COVID-19

Long COVID, also known for post-acute sequelae of COVID-19, describes the people who have the signs and symptoms that continue or develop after the acute COVID-19 phase. Long COVID patients suffer from an inflammation or host responses towards the virus approximately 4 weeks after initial infection with the SARS CoV-2 virus and continue for an uncharacterized duration. Anyone infected with COVID-19 before could experience long-COVID conditions, including the patients who were infected with SARS CoV-2 virus confirmed by tests and those who never knew they had an infection early. People with long COVID may experience health problems from different types and combinations of symptoms over time, such as fatigue, dyspnea, cognitive impairments, and gastrointestinal (GI) symptoms (e.g., nausea, vomiting, diarrhea, decreased or loss of appetite, abdominal pain, and dysgeusia). The critical role of the microbiome in these GI symptoms and long COVID were reported in clinical patients and experimental models. Here, we provide an overall view of the critical role of the GI tract and microbiome in the development of long COVID, including the clinical GI symptoms in patients, dysbiosis, viral-microbiome interactions, barrier function, and inflammatory bowel disease patients with long COVID. We highlight the potential mechanisms and possible treatment based on GI health and microbiome. Finally, we discuss challenges and future direction in the long COVID clinic and research.

Identity and COVID-19 in Canada: Gender, ethnicity, and minority status

BACKGROUND

During the COVID-19 pandemic, growing evidence from the United States, the United Kingdom, and China has demonstrated the unequal social and economic burden of this health crisis. Yet, in Canada, studies assessing the socioeconomic and demographic determinants of COVID-19, and how these determinants vary by gender and ethnic minority status, remain scarce. As new strains of COVID-19 emerge, it is important to understand the disparities to be able to initiate policies and interventions that target and prioritise the most at-risk sub-populations.

AIM

The objective of this study is to assess the socioeconomic and demographic factors associated with COVID-19-related symptoms in Canada, and how these determinants vary by identity factors including gender and visible minority status.

METHODS

We implemented an online survey and collected a nationally representative sample of 2,829 individual responses. The original data collected via the SurveyMonkey platform were analysed using a cross-sectional study. The outcome variables were COVID-19-related symptoms among respondents and their household members. The exposure variables were socioeconomic and demographic factors including gender and ethnicity as well as age, province, minority status, level of education, total annual income in 2019, and number of household members. Descriptive statistics, chi-square tests, and multivariable logistic regression analyses were performed to test the associations. The results were presented as adjusted odds ratios (aORs) at p < 0.05 and a 95% confidence interval.

RESULTS

We found that the odds of having COVID-19-related symptoms were higher among respondents who belong to mixed race [aOR = 2.77; CI = 1.18-6.48] and among those who lived in provinces other than Ontario and Quebec [aOR = 1.88; CI = 1.08-3.28]. There were no significant differences in COVID-19 symptoms between males and females, however, we did find a significant association between the province, ethnicity, and reported COVID-19 symptoms for female respondents but not for males. The likelihood of having COVID-19-related symptoms was also lower among respondents whose total income was $100,000 or more in 2019 [aOR = 0.18; CI = 0.07-0.45], and among those aged 45-64 [aOR = 0.63; CI = 0.41-0.98] and 65-84 [aOR = 0.42; CI = 0.28-0.64]. These latter associations were stronger among non-visible minorities. Among visible minorities, being black or of the mixed race and living in Alberta were associated with higher odds of COVID-19-related symptoms.

CONCLUSION

We conclude that ethnicity, age, total income in 2019, and province were significantly associated with experiencing COVID-19 symptoms in Canada. The significance of these determinants varied by gender and minority status. Considering our findings, it will be prudent to have COVID-19 mitigation strategies including screening, testing, and other prevention policies targeted toward the vulnerable populations. These strategies should also be designed to be specific to each gender category and ethnic group, and to account for minority status.

Policies enacted during COVID-19 came with unintended health benefits: why go back?

OBJECTIVES

To explore the impact of COVID-19 on the implementation of bundled interventions to improve the engagement and retention of Black women in HIV care.

METHODS

Pre-implementation interviews conducted between January and April 202 L with 12 demonstration sites implementing bundled interventions for Black women with HIV. Directed content analysis was employed to examine the site interview transcripts.

RESULTS

The pandemic intensified barriers to care and harmful social conditions. However, COVID-19 also forced pivots in health care and social service delivery and some of these changes benefited Black women living with HIV.

CONCLUSIONS

The continuation of policies that support the material needs of Black women with HIV and ease access to care is critical. Racial capitalism impedes the enactment of these policies and thus threatens public health.

Housing Insecurity among Black Women Surviving Intimate Partner Violence during the COVID-19 Pandemic: An Intersectional Qualitative Approach

Background

To investigate housing experiences during the COVID-19 pandemic among Black women experiencing intimate partner violence (IPV) who are also navigating racism, sexism, and classism.

Methods

From January to April 2021, we conducted in-depth interviews with 50 Black women experiencing IPV in the United States. Guided by intersectionality, a hybrid thematic and interpretive phenomenological analytic approach was used to identify sociostructural factors shaping housing insecurity.

Results

Our findings demonstrate the various ways in which the COVID-19 pandemic shaped Black women IPV survivors' ability to obtain and sustain safe housing. Five themes were derived to capture factors contributing to housing experiences: challenges with separate and unequal neighborhoods; pandemic-related economic inequalities; economic abuse limitations; mental toll of eviction; and strategies to maintain housing.

Conclusions

Obtaining and maintaining safe housing during the COVID-19 pandemic was difficult for Black women IPV survivors who were also navigating racism, sexism, and socioeconomic position. Structural-level interventions are needed to reduce the impact of these intersecting systems of oppression and power in order to facilitate the resources necessary for Black women IPV survivors to identify safe housing.

Race and Sex Differences in Vital Signs Associated with COVID-19 and Flu Diagnoses in Mississippi

Early detection of viral infections, such as COVID-19 and flu, have potential to reduce risk of morbidity, mortality, and disease transmission through earlier intervention strategies. For example, detecting changes in vital signs have the potential to more rapidly diagnose respiratory virus diseases. The objective of this study was to utilize the University of Mississippi Medical Center's extensive clinical database (EPIC) to investigate associations between temperature, pulse rate, blood pressure (BP), and respiration rate in COVID-19 and flu diagnosed patients. Data from 1,363 COVID-19 (March 3, 2020, to February 27, 2021) and 507 flu (October 1, 2017, to September 30, 2018) diagnosed patients with reported demographic dimensions (age, first race, and sex) and office visit dimensions (BMI, diastolic BP, pulse rate, respiration rate, systolic BP, and temperature) was obtained, including day of diagnosis and additional encounter visits 60 days before and after first unique diagnosis. Patients with COVID-19 or flu were disproportionately obese, with 93% of COVID-19 and 79% of flu patients with BMI ≥ 30. Most striking, Black women 50-64 years of age disproportionately carried the burden of disease. At the time of diagnosis, temperature was significantly increased for all patients, yet pulse rate was only significantly increased for flu diagnosis, and BP was not significantly different in either. Our findings show the need for more complete demographic and office visit dimension data from patients during epidemic and pandemic events and support further studies needed to understand association between vital signs and predicting respiratory disease.

Race and ethnicity: Risk factors for fungal infections?

Racial and ethnic identities, largely understood as social rather than biologic constructs, may impact risk for acquiring infectious diseases, including fungal infections. Risk factors may include genetic and immunologic differences such as aberrations in host immune response, host polymorphisms, and epigenomic factors stemming from environmental exposures and underlying social determinants of health. In addition, certain racial and ethnic groups may be predisposed to diseases that increase risk for fungal infections, as well as disparities in healthcare access and health insurance. In this review, we analyzed racial and ethnic identities as risk factors for acquiring fungal infections, as well as race and ethnicity as they relate to risk for severe disease from fungal infections. Risk factors for invasive mold infections such as aspergillosis largely appear related to environmental differences and underlying social determinants of health, although immunologic aberrations and genetic polymorphisms may contribute in some circumstances. Although black and African American individuals appear to be at high risk for superficial and invasive Candida infections and cryptococcosis, the reasons for this are unclear and may be related to underling social determinants of health, disparities in access to healthcare, and other socioeconomic disparities. Risk factors for all the endemic fungi are likely largely related to underlying social determinants of health, socioeconomic, and health disparities, although immunologic mechanisms likely play a role as well, particularly in disseminated coccidioidomycosis.

The intersection of race and financial strain: The pain of social disconnection among women in the United States

Objectives: Considerable attention has been directed at increased social isolation and loneliness during the COVID-19 pandemic and their impact on later-life psychological well-being. There is a dearth of research on the effect of financial strain and associated psychosocial mechanisms on loneliness among women across racial groups. It is unclear how racial status and financial strain intersect to impact later-life loneliness amid immense uncertainty, social isolation, and anxiety induced by the pandemic.Methods: Based on our nationwide Web-based survey (n = 1,301), we used ordinary least square regression to examine the effects of financial strain on loneliness among Black and White women and assessed the role of emotional support in contributing to such effects.Results: We found that Black women face significantly more financial strain than White women but also receive more emotional support and experience less loneliness. Findings show that women experiencing financial strain report increased loneliness, but the negative effects of financial strain are significantly greater for Black women than for White women. Our mediation analysis revealed that emotional support made a significant contribution to the effects of financial strain on loneliness in White women but not in Black women.Discussion: Despite shared vulnerability and social isolation across the general population, our findings suggest that negative effects of financial strain on loneliness among women continue to differ across race, even amid the pandemic. Our findings demonstrate how emotional support explains the relationship between financial strain and later-life loneliness in a racially distinct manner.

Gender and Race-Based Health Disparities in COVID-19 Outcomes among Hospitalized Patients in the United States: A Retrospective Analysis of a National Sample

COVID-19 has brought the disparities in health outcomes for patients to the forefront. Racial and gender identity are associated with prevalent healthcare disparities. In this study, we examine the health disparities in COVID-19 hospitalization outcome from the intersectional lens of racial and gender identity. The Agency for Healthcare Research and Quality (AHRQ) 2020 NIS dataset for hospitalizations from 1 January 2020 to 31 December 2020 was analyzed for primary outcome of in-patient mortality and secondary outcomes of intubation, acute kidney injury (AKI), AKI requiring hemodialysis (HD), cardiac arrest, stroke, and vasopressor use. A multivariate regression model was used to identify associations. A p value of <0.05 was considered significant. Men had higher rates of adverse outcomes. Native American men had the highest risk of in-hospital mortality (aOR 2.0, CI 1.7−2.4) and intubation (aOR 1.8, CI 1.5−2.1), Black men had highest risk of AKI (aOR 2.0, CI 1.9−2.0). Stroke risk was highest in Asian/Pacific Islander women (aOR 1.5, p = 0.001). We note that the intersection of gender and racial identities has a significant impact on outcomes of patients hospitalized for COVID-19 in the United States with Black, Indigenous, and people of color (BIPOC) men have higher risks of adverse outcomes.

Pandemic Meets Endemic: The Role of Social Inequalities and Failing Public Health Policies as Drivers of Disparities in COVID-19 Mortality among White, Black, and Hispanic Communities in the United States of America

The COVID-19 pandemic placed the United States of America (U.S.) under enormous strain, leaving it with higher deaths during the first wave of the outbreak compared to all other advanced economies. Blacks and Hispanics were among those hardest hit by the virus-a fact attributed to enduring problems related to the social determinants of health adversely affecting Communities of Color (CoC). In this study, we ask which distinct factors relating to policy stringency and community vulnerability influenced COVID-19 mortality among Whites, Blacks, and Hispanics during the first year of the pandemic. To address this question, we utilized a mix of correlational and regression analyses. Findings point to the highly divergent impact of public policy and vulnerability on COVID-19 mortality. Specifically, we observed that state-led measures aimed at controlling the spread of the virus only improved mortality for Whites. However, pre-existing social determinants of health (i.e., population density, epidemiological and healthcare system factors) played a significant role in determining COVID-19 outcomes for CoC, even in the face of stringent containment measures by states. This suggests that state-led policy to address present and/or future public health crises need to account for the particular nature of vulnerability affecting Blacks and Hispanics in the U.S.

COVID-19 mortality and deprivation: pandemic, syndemic, and endemic health inequalities

COVID-19 has exacerbated endemic health inequalities resulting in a syndemic pandemic of higher mortality and morbidity rates among the most socially disadvantaged. We did a scoping review to identify and synthesise published evidence on geographical inequalities in COVID-19 mortality rates globally. We included peer-reviewed studies, from any country, written in English that showed any area-level (eg, neighbourhood, town, city, municipality, or region) inequalities in mortality by socioeconomic deprivation (ie, measured via indices of multiple deprivation: the percentage of people living in poverty or proxy factors including the Gini coefficient, employment rates, or housing tenure). 95 papers from five WHO global regions were included in the final synthesis. A large majority of the studies (n=86) found that COVID-19 mortality rates were higher in areas of socioeconomic disadvantage than in affluent areas. The subsequent discussion reflects on how the unequal nature of the pandemic has resulted from a syndemic of COVID-19 and endemic inequalities in chronic disease burden.

How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State

Overall, men have died from COVID-19 at slightly higher rates than women. But cumulative estimates of mortality by sex may be misleading. We analyze New York State COVID-19 mortality by sex between March 2020 and August 2021, demonstrating that 72.7% of the total difference in the number of COVID-19 deaths between women and men was accrued in the first seven weeks of the pandemic. Thus, while the initial surge in COVID-19 mortality was characterized by stark sex disparities, this article shows that disparities were greatly attenuated in subsequent phases of the pandemic. Investigating changes over time could help illuminate how contextual factors contributed to the development of apparent sex disparities in COVID-19 outcomes.

The impact of COVID-19 and housing insecurity on lower-income Black women

During the COVID-19 pandemic, multiple groups faced increased risks for negative health and mortality. Using an intersectional framework, the current study explores how the global pandemic impacted lower-income women living in the United States through access to housing. Findings indicate several challenges  remaining stably housed during the pandemic. Major themes included: (1) High-Risk Survival Economies, (2) Landlord Stress, Deception, and Exclusion, (3) Landlord Harassment, (4) Low Levels of Formal and Informal Support, (5) Housing as a Health Risk Factor, and (6) Resilience. These themes are explored through four in-depth narrative accounts. Implications for health and policy are discussed. Future research that examines and engages with both direct (e.g., material scarcity) and indirect (e.g., discrimination) pathways that connect housing to health are strongly encouraged.

Gender Differences in Consumer Debt Stress: Impacts on Job Performance, Family Life and Health

During periods of economic instability, women may suffer uniquely from economic stress compared to men. We examine stress effects from financial debts by gender with monthly national-level household data starting in 2006, going through the Great Recession in the U.S and into the recovery period. We find that women on average in the sample exhibit approximately 30% overall greater debt stress scores than men after controlling for income, debt levels and other socioeconomic variables. Underlying factors for both genders are examined, including impacts on job performance, family life and health. Sources of disadvantage for women and implied policy needs are explored. Our findings and their consequences are examined relative to economic circumstances for women that have been documented as a result of the pandemic-induced recession.

The sex and gender dimensions of COVID-19: A narrative review of the potential underlying factors

Multiple lines of evidence indicate that the male sex is a significant risk factor for severe disease and mortality due to coronavirus disease 2019 (COVID-19). However, the precise explanation for the discrepancy is currently unclear. Immunologically, the female-biased protection against COVID-19 could presumably be due to a more rapid and robust immune response to viruses exhibited by males. The female hormones, e.g., estrogens and progesterone, may have protective roles against viral infections. In contrast, male hormones, e.g., testosterone, can act oppositely. Besides, the expression of the ACE-2 receptor in the lung and airway lining, which the SARS-CoV-2 uses to enter cells, is more pronounced in males. Estrogen potentially plays a role in downregulating the expression of ACE-2, which could be a plausible biological explanation for the reduced severity of COVID-19 in females. Comorbidities, e.g., cardiovascular diseases, diabetes, and kidney disorders, are considered significant risk factors for severe outcomes in COVID-19. Age-adjusted data shows that males are statistically more predisposed to these morbidities-amplifying risks for males with COVID-19. In addition, many sociocultural factors and gender-constructed behavior of men and women impact exposure to infections and outcomes. In many parts of the world, women are more likely to abide by health regulations, e.g., mask-wearing and handwashing, than men. In contrast, men, in general, are more involved with high-risk behaviors, e.g., smoking and alcohol consumption, and high-risk jobs that require admixing with people, which increases their risk of exposure to the infection. Overall, males and females suffer differently from COVID-19 due to a complex interplay between many biological and sociocultural factors.

Caste and COVID-19: Psychosocial disparities amongst rural Indian women during the coronavirus pandemic

The COVID-19 pandemic has exacerbated preexisting mental health disparities. In India, marginalization based on caste membership, gender, and rural residence are critical determinants of inequity across the lifespan. Guided by the theoretical frameworks of minority stress and intersectionality, this study examined caste-based disparities in fear of coronavirus (FOC), mental health symptoms, and perceived loneliness amongst rural women in north India during the COVID-19 pandemic. Participants (N = 316) completed self-report measures and were classified into three groups based on their responses: General caste (GC, n = 124), other backward castes (OBC, n = 122), and scheduled caste or tribe (SC/ST, n = 71). Using a three-way ANOVA and Tukey t-tests, women in SC/ST and OBC groups reported greater FOC (OBC d = .37; SC/ST d = .40) and greater mental health symptoms (OBC d = .58; SC/ST d = .43) relative to the GC group. OBC, but not SC/ST, group also reported higher perceived loneliness (d = .32). The results were consistent after adjusting for demographic variables such as wealth and highlight caste as an important social determinant for well-being during the COVID-19 pandemic amongst rural Indian women.

JUE Insight: COVID-19, Race, and Gender

The evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. We investigate the joint impact of race and gender using individual-level georeferenced death data collected by the Cook County Medical Examiner, which we structure as a cell-level panel at a race, block group, week, and year level. Through an event study approach, we establish that Black individuals are affected more harshly than White and that the effect is driven by Black women. The Black female bias is associated with occupational segregation in the health care and transportation sectors and by commuting on public transport.

My story of sex, gender, and women's health in a pandemic

After more than 20 years of studying sex differences in viral pathogenesis and immunity to vaccines, the COVID‐19 pandemic provided me with a unique opportunity to raise awareness about biological sex differences. The scientific community and public, alike, embraced the clinical and epidemiological data and supported inquiries into how males are twice as likely to be hospitalized and die from COVID‐19. Immunological changes associated with pregnancy also contribute to worse outcomes from COVID‐19. Collectively, we are finding that inflammation is a critical mediator of worse outcomes for males and pregnant females. The pandemic gave me a platform to discuss and address sex differences on a bigger stage, but two decades of studies working with other viruses prepared me for this moment in history.

Why "sex as a biological variable" conflicts with precision medicine initiatives

Policies that require male-female sex comparisons in all areas of biomedical research conflict with the goal of improving health outcomes through context-sensitive individualization of medical care. Sex, like race, requires a rigorous, contextual approach in precision medicine. A "sex contextualist" approach to gender-inclusive medicine better aligns with this aim.

Disparities by Sex in COVID-19 Risk and Related Harms Among People with Opioid Use Disorder

Objectives: (1) Report sex-specific prevalence of coronavirus disease 2019 (COVID-19) test positivity among an opioid use disorder (OUD) cohort (2) Assess sex-specific rates of opioid overdose and mortality. Methods: A retrospective cohort study was performed on all adult patients with OUD who received a COVID-19 test in calendar year 2020 at a large academic medical center in Richmond, Virginia. Our study outcomes were positive COVID-19 test, opioid overdose, and all-cause in-hospital mortality. Sex-stratified multivariable logistic regression assessed sociodemographic factors associated with COVID-19 test positivity. Results: A total of 2,600 patients (males = 1,294, females = 1,306) with OUD received a COVID-19 test. Approximately 5% across both sexes tested positive for COVID-19 (p = 0.420), whereas 7% presented with an opioid overdose (males 10%; females 4%; p < 0.0001). However, mortality rates were similar across sex. Among males, individuals in the other racial group had increased odds of COVID-19 test positivity (adjusted odds ratio or AOR: 5.03, 95% confidence interval [CI]: 1.70-14.88), whereas black females had higher odds of COVID-19 test positivity (AOR: 1.92, 95% CI: 1.01-3.62) compared to their white counterparts. Conclusions: Opioid overdose, more often than COVID-19, impacted the health of patients with OUD presenting to a public safety net health system. Despite a female advantage documented in the general population for COVID-19 susceptibility, COVID-19 test positivity rates were similar across sex in an OUD cohort; yet, racial disparities emerged with notable sex-related variation. Sex and gender are important variables that modify health outcomes, including OUD and COVID-19, and should be further investigated using an intersectionality framework.

Research on Women's Health: Ready for the Future

The National Institutes of Health (NIH) Office of Research on Women's Health (ORWH) was established in 1990. With the completion of the office's 30th anniversary year, we look back and recount some of the key events and overall zeitgeist that led to ORWH's formation, and how it became the focal point at the nation's primary biomedical research agency for coordinating research on science to improve the health of women. We discuss ORWH's mission and signature programs and the bold vision that drives the NIH-wide strategic, interdisciplinary, and collaborative approach to research on women's health and efforts to promote women in biomedical careers. Also discussed are several of the many scientific advances in research on the health of women, policy innovations and their effects, and career advancements made by women in medicine and related scientific fields. We also highlight key challenges for the health of women, the need to continue pushing for equity in biomedical research careers, and NIH's approach to addressing these problems to ensure progress for the next 30 years and beyond.

Sex disparities in COVID-19 outcomes in the United States: Quantifying and contextualizing variation

This paper presents the first longitudinal study of sex disparities in COVID-19 cases and mortalities across U.S. states, derived from the unique 13-month dataset of the U.S. Gender/Sex COVID-19 Data Tracker. To analyze sex disparities, weekly case and mortality rates by sex and mortality rate ratios were computed for each U.S. state, and a multilevel crossed-effects conditional logistic binomial regression model was fitted to estimate the variation of the sex disparity in mortality over time and across states. Results demonstrate considerable variation in the sex disparity in COVID-19 cases and mortalities over time and between states. These data suggest that the sex disparity, when present, is modest, and likely varies in relation to context-sensitive variables, which may include health behaviors, preexisting health status, occupation, race/ethnicity, and other markers of social experience.

Renewed rationale for sex- and gender-disaggregated research: A COVID-19 commentary review

The COVID-19 pandemic provides a contemporaneous illustration of the need to consider sex and gender in research. Using surveillance, treatment and vaccine research examples, in this commentary review, we highlight opportunities for innovation in sex- and gender-sensitive and transformative health and medical research.

State-level political partisanship strongly correlates with health outcomes for US children

The Cook Partisan Voting Index (PVI) determines how strongly a state leans toward the Democratic or Republican Party in US presidential elections compared to the nation. We set out to determine the correlation between childhood health outcomes and state-level partisanship using PVI. Sixteen measures of childhood health were obtained from several US governmental agencies for 2003-2017. The median PVI for every state was calculated for the same time period. Pearson's rho determined the correlation between PVI and each health outcome. Multiple regression was also conducted, adjusting for educational attainment and percentage of non-White residents. We also compared childhood health in moderately Democratic and Republican states (5-9.9% more Democratic/Republican than the national mean) and, similarly, for extremely Democratic and Republican states (10% or more Democratic/Republican than the national mean), using Wilcoxon tests. For all 16 health measures, the median values in Democratic-leaning states represented better outcomes than Republican-leaning states (9/16 had a beta value for linear regression associated with P < 0.05). When compared to Republican states, the median values in moderately Democratic states represented better outcomes for 14 of 16 health measures (9/14 associated with P < 0.05). Similarly, the median values for extremely Democratic states represented better outcomes with regard to all 16 health measures, when compared to Republican-leaning states (8/16 associated with P < 0.05).Conclusions: Democratic-leaning states displayed superior outcomes for multiple childhood health measures when compared to Republican counterpart states. Future research should investigate the significance of these findings and attempt to determine which state-level policies may have contributed to such disparate health outcomes. What is Known: • In the United States, many health disparities exist among children along racial, economic and geographic lines. • Many US states lean strongly towards either the Democratic or Republican political parties in federal elections. What is New: • Trends for multiple measures of childhood health vary in association with the political partisanship of the state being examined. • Multiple barometers of childhood health are superior in Democratic-leaning states, while no measures are better in Republican-leaning states.

Racial Disparities in 30-Day Outcomes Following Index Admission for COVID-19

We investigated racial disparities in a 30-day composite outcome of readmission and death among patients admitted across a 5-hospital health system following an index COVID-19 admission. A dataset of 1,174 patients admitted between March 1, 2020 and August 21, 2020 for COVID-19 was retrospectively analyzed for odds of readmission among Black patients compared to all other patients, with sequential adjustment for demographics, index admission characteristics, type of post-acute care, and comorbidities. Tabulated results demonstrated a significantly greater odds of 30-day readmission or death among Black patients (18.0% of Black patients vs. 11.3% of all other patients; Univariate Odds Ratio: 1.71, p = 0.002). Sequential adjustment via logistic regression revealed that the odds of 30-day readmission or death were significantly greater among Black patients after adjustment for demographics, index admission characteristics, and type of post-acute care, but not comorbidities. Stratification by type of post-acute care received on discharge revealed that the same disparity in odds of 30-day readmission or death existed among patients discharged home without home services, but not those discharged to home with home services or to a skilled nursing facility or acute rehab facility. Collectively, the findings suggest that weighing comorbidity burdens in post-acute care decisions may be relevant in addressing racial disparities in 30-day outcomes following discharge from an index COVID-19 admission.

Sex Differences in Immunity to Viral Infections

The ongoing COVID-19 pandemic has increased awareness about sex-specific differences in immunity and outcomes following SARS-CoV-2 infection. Strong evidence of a male bias in COVID-19 disease severity is hypothesized to be mediated by sex differential immune responses against SARS-CoV-2. This hypothesis is based on data from other viral infections, including influenza viruses, HIV, hepatitis viruses, and others that have demonstrated sex-specific immunity to viral infections. Although males are more susceptible to most viral infections, females possess immunological features that render them more vulnerable to distinct immune-related disease outcomes. Both sex chromosome complement and related genes as well as sex steroids play important roles in mediating the development of sex differences in immunity to viral infections.

Racial disparities in COVID-19 pandemic cases, hospitalisations, and deaths: A systematic review and meta-analysis

Background

People from racial minority groups in western countries experience disproportionate socioeconomic and structural determinants of health disadvantages. These disadvantages have led to inequalities and inequities in health care access and poorer health outcomes. We report disproportionate disparities in prevalence, hospitalisation, and deaths from COVID-19 by racial minority populations.

Methods

We conducted a systematic literature search of relevant databases to identify studies reporting on prevalence, hospitalisations, and deaths from COVID-19 by race groups between 01 January 2020 – 15 April 2021. We grouped race categories into Blacks, Hispanics, Whites and Others. Random effects model using the method of DerSimonian and Laird were fitted, and forest plot with respective ratio estimates and 95% confidence interval (CI) for each race category, and subgroup meta-regression analyses and the overall pooled ratio estimates for prevalence, hospitalisation and mortality rate were presented.

Results

Blacks experienced significantly higher burden of COVID-19: prevalence ratio 1.79 (95% confidence interval (CI) = 1.59-1.99), hospitalisation ratio 1.87 (95% CI = 1.69-2.04), mortality ratio 1.68 (95% CI = 1.52-1.83), compared to Whites: prevalence ratio 0.70 (95% CI = 0.0.64-0.77), hospitalisation ratio 0.74 (95% CI = 0.65-0.82), mortality ratio 0.82 (95% CI = 0.78-0.87). Also, Hispanics experienced a higher burden: prevalence ratio 1.78 (95% CI = 1.63-1.94), hospitalisation ratio 1.32 (95% CI = 1.08-1.55), mortality ratio 0.94 (95% CI = 0.84-1.04) compared to Whites. A higher burden was also observed for Other race groups: prevalence ratio 1.43 (95% CI = 1.19-1.67), hospitalisation ratio 1.12 (95% CI = 0.89-1.35), mortality ratio 1.06 (95% CI = 0.89-1.23) compared to Whites. The disproportionate burden among Blacks and Hispanics remained following correction for publication bias.

Conclusions

Blacks and Hispanics have been disproportionately affected by COVID-19. This is deeply concerning and highlights the systemically entrenched disadvantages (social, economic, and political) experienced by racial minorities in western countries; and this study underscores the need to address inequities in these communities to improve overall health outcomes.

Beyond a Zero-Sum Game: How Does the Impact of COVID-19 Vary by Gender?

Epidemics and pandemics, like COVID-19, are not gender neutral. Much of the current work on gender, sex, and COVID-19, however, has seemed implicitly or explicitly to be attempting to demonstrate that either men or women have been hardest hit, treating differences between women and men as though it is not important to understand how each group is affected by the virus. This approach often leaves out the effect on gender and sexual minorities entirely. Believing that a more nuanced approach is needed now and for the future, we brought together a group of gender experts to answer the question: how are people of different genders impacted by COVID-19 and why? Individuals working in women's, men's, and LGBTQ health and wellbeing wrote sections to lay out the different ways that women, men, and gender and sexual minorities are affected by COVID-19. We demonstrate that there is not one group "most affected," but that many groups are affected, and we need to move beyond a zero-sum game and engage in ways to mutually identify and support marginalized groups.