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The gender peak effect: Women are most vulnerable to infections during COVID-19 peaks.

ABSTRACT: In this article, we describe a gender peak effect that women's relative share in COVID-19 infections increases when there is a sharp increase in cases, and it reaches the highest level during peak times in each wave of the COVID-19 outbreak. We demonstrate this gender peak effect by analyzing detailed, sex-disaggregated Public Health Agency of Canada (PHAC) data. The data include 1,045,998 men and women who were confirmed cases of COVID-19 from March 2020 to February 2022. We show that women's relative share in COVID-19 infections always increases and reaches the level exceeding men's share when we see a sharp peak in case number. We further show that women's higher share in care work (e.g., captured by occupation and age variables) largely explains their elevated infections during COVID-19 peaks. Effective public health interventions during infectious disease outbreaks must recognize this potential gender peak effect and take appropriate measures to curb women's health vulnerabilities.

SUBMITTER: Wu C

PROVIDER: S-EPMC9395988 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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The gender peak effect: Women are most vulnerable to infections during COVID-19 peaks.

Wu Cary C Qian Yue Y

Frontiers in public health 20220809

In this article, we describe a gender peak effect that women's relative share in COVID-19 infections increases when there is a sharp increase in cases, and it reaches the highest level during peak times in each wave of the COVID-19 outbreak. We demonstrate this gender peak effect by analyzing detailed, sex-disaggregated Public Health Agency of Canada (PHAC) data. The data include 1,045,998 men and women who were confirmed cases of COVID-19 from March 2020 to February 2022. We show that women's r ...[more]

PMID: 36016899

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Project description:BackgroundGender-based violence (GBV) includes any physical, sexual, psychological, economic harms, and any suffering of women in the form of limiting their freedom in personal or social life. As a global crisis, COVID-19 has exposed women to more violence, which requires serious actions. This work aims to review the most critical dimensions of the GBV against women, effective factors on it, and strategies for combating it during the COVID-19 pandemic in order to provide recommendations for future pandemics.MethodsThis study was conducted based on PRISMA-ScR. First, PubMed, Embase, Scopus, Web of Science, ProQuest, and Google Scholar were searched in April 2021 with no time limitation and location using the related keywords to COVID-19 and GBV. The searched keywords were COVID-19, gender-based violence, domestic violence, sexual violence, women, violence, abuse, and their synonyms in MESH and EMTREE. Duplicates were removed, titles and abstracts were screened, and then the characteristics and main results of included studies were recorded in the data collection form in terms of thematic content analysis.ResultsA total of 6255 records were identified, of which 3433 were duplicates. Based on inclusion criteria 2822 titles and abstracts were screened. Finally, 14 studies were eligible for inclusion in this study. Most of these studies were conducted in the United States, the Netherlands, and Iran, mostly with interventional and qualitative methods.ConclusionsStrengthening ICT infrastructure, providing comprehensive government policies and planning, government economic support, social support by national and international organizations should be considered by countries worldwide. It is suggested that countries provide sufficient ICT infrastructure, comprehensive policies and planning, economic support, social support by collaboration between national and international organizations, and healthcare supporting to manage incidence of GBV against women in future pandemics.

Project description:Understanding whether and how wildfires exacerbate COVID-19 outcomes is important for assessing the efficacy and design of public sector responses in an age of more frequent and simultaneous natural disasters and extreme events. Drawing on environmental and emergency management literatures, we investigate how wildfire smoke (PM2.5) impacted COVID-19 infections and deaths during California's 2020 wildfire season and how public housing resources and hospital capacity moderated wildfires' effects on COVID-19 outcomes. We also hypothesize and empirically assess the differential impact of wildfire smoke on COVID-19 infections and deaths in counties exhibiting high and low social vulnerability. To test our hypotheses concerning wildfire severity and its disproportionate impact on COVID-19 outcomes in socially vulnerable communities, we construct a county-by-day panel dataset for the period April 1 to November 30, 2020, in California, drawing on publicly available state and federal data sources. This study's empirical results, based on panel fixed effects models, show that wildfire smoke is significantly associated with increases in COVID-19 infections and deaths. Moreover, wildfires exacerbated COVID-19 outcomes by depleting the already scarce hospital and public housing resources in local communities. Conversely, when wildfire smoke doubled, a one percent increase in the availability of hospital and public housing resources was associated with a 2 to 7 percent decline in COVID-19 infections and deaths. For California communities exhibiting high social vulnerability, the occurrence of wildfires worsened COVID-19 outcomes. Sensitivity analyses based on an alternative sample size and different measures of social vulnerability validate this study's main findings. An implication of this study for policymakers is that communities exhibiting high social vulnerability will greatly benefit from local government policies that promote social equity in housing and healthcare before, during, and after disasters.

Project description:BackgroundGender discrimination among women healthcare workers (HCWs) negatively impacts job satisfaction, mental health, and career development; however, few studies have explored how experiences of gender discrimination change during times of health system strain. Thus, we conducted a survey study to characterize gender discrimination during a time of significant health system strain, i.e., the COVID-19 pandemic.MethodsWe used a convenience sampling approach by inviting department chairs of academic medical centers in the United States to forward our online survey to their staff in January 2021. The survey included one item assessing frequency of gender discrimination, and an open-ended question asking respondents to detail experiences of discrimination. The survey also included questions about social and work stressors, such as needing additional childcare support. We used ordinal logistic regression models to identify predictors of gender discrimination, and grounded theory to characterize themes that emerged from open-ended responses.ResultsAmong our sample of 716 women (mean age = 37.63 years, SD = 10.97), 521 (72.80%) were White, 102 (14.20%) Asian, 69 (9.60%) Black, 53 (7.4%) Latina, and 11 (1.50%) identified as another race. In an adjusted model that included demographic characteristics and social and work stressors as covariates, significant predictors of higher gender discrimination included younger age (OR = 0.98, 95%CI = 0.96, 0.99); greater support needs (OR = 1.26, 95%CI = 1.09,1.47); lower team cohesion (OR = 0.94, 95%CI = 0.91, 0.97); greater racial discrimination (OR = 1.07, 95%CI = 1.05,1.09); identifying as a physician (OR = 6.59, 95%CI = 3.95, 11.01), physician-in-training (i.e., residents and fellows; OR = 3.85, 95%CI = 2.27,6.52), or non-clinical worker (e.g., administrative assistants; OR = 3.08, 95%CI = 1.60,5.90), compared with nurses; and reporting the need for a lot more childcare support (OR = 1.84, 95%CI = 1.15, 2.97), compared with reporting no childcare support need. In their open-ended responses, women HCWs described seven themes: 1) belittlement by colleagues, 2) gendered workload distributions, 3) unequal opportunities for professional advancement, 4) expectations for communication, 5) objectification, 6) expectations of motherhood, and 7) mistreatment by patients.ConclusionsOur study underscores the severity of gender discrimination among women HCWs. Hospital systems should prioritize gender equity programs that improve workplace climate during and outside of times of health system strain.

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The gender peak effect: Women are most vulnerable to infections during COVID-19 peaks.

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The gender peak effect: Women are most vulnerable to infections during COVID-19 peaks.

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