Covid-19 Feminist Framework to Address Public Health Impact of Violence, Abuse, and Trauma in Children, Women, BIPOC, and LGBTQIA+ Community: A Preliminary Observation

  • Citation: Mukhtar, Sonia, Shamim Mukhtar, and Waleed Rana. “Covid-19 Feminist Framework to Address Public Health Impact of Violence, Abuse, and Trauma in Children, Women, BIPOC, and LGBTQIA+ Community: A Preliminary Observation.” Asia Pacific Journal of Public Health 33, no. 5 (2021): 645–47.
    • Topics:
    • Human Rights
    • Keywords:
    • COVID-19
    • violence against women/children
    • abuse
    • LGBTQIA+
    • BIPOC
    • feminism
    • public health)

The COVID-19 pandemic outbreak has become a worldwide crisis with multifaceted dimensions. The pandemic has already exacerbated preexisting health, sociopolitical and economic crises. Women, children, sexual and gender minorities (LGBTQIA+ [lesbian, gay, bisexual, transgender, queer and/or questioning, intersex, and asexual and/or ally]), racial and ethnic minorities (BIPOC [black, Indigenous and people of color]), and gender-diverse people have been disproportionately affected amid the COVID-19 pandemic. The fact that women are being disproportionately affected by COVID-19, the burdens of care have intensified, violence against women has amplified, and the focus on reviving productiveness is as ever overlooking the significance of investing in social care, health, and education. Violence against women and children (VAW/C), BIPOC, and LGBTQIA+ is growing with underresourced health services, overlooked sexual and reproductive health services, compromised economic resilience, and exacerbated systemic inequities.

  • Criminal Justice, Artificial Intelligence Systems, and Human Rights

    Završnik, Aleš. “Criminal Justice, Artificial Intelligence Systems, and Human Rights.” ERA Forum 20, no. 4 (March 1, 2020): 567–83.

    • Authors with Diverse Backgrounds
    Keywords: Criminal Justice, Human Rights, Automation, Algorithms, Artificial Intelligence, Fair Trial
  • Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software

    Yoder-Himes, Deborah R., Alina Asif, Kaelin Kinney, Tiffany J. Brandt, Rhiannon E. Cecil, Paul R. Himes, Cara Cashon, Rachel M. P. Hopp, and Edna Ross. “Racial, Skin Tone, and Sex Disparities in Automated Proctoring Software.” Frontiers in Education 7 (September 20, 2022).

    • Authors with Diverse Backgrounds