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Deneen Robinson

Biographic Data

ID4238085
NAMEDeneen Robinson
GIVEN NAMESDeneen
FAMILY NAMERobinson
SIGNATUREROBINSON D
AFFILIATIONSTechnical Resource Group (United States)
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • The dynamic complexity of cardiovascular severe maternal morbidity among Black women in North Texas: Insights from a system dynamics group model building study

    Open Access•Michael K Lemke, K K Brown et al.•ARTICLE•Ethnicity and Health•2026•References: 2

    The application of SD GMB provided novel complex systems-grounded insights into the causes and consequences of CSMM among Black women in North Texas, and these insights were leveraged by stakeholders to identify potential preventive solutions to curb these outcomes. These insights led to initial answers to the four primary research questions, illustrating the dynamic complexity of the drivers of CSMM and identifying coherent preventive strategies

  • Understanding and Addressing Severe Maternal Morbidity Among Black Women in Texas: Findings From a System Dynamics Group Model Building Study

    Open Access•Michael K Lemke, K K Brown et al.•ARTICLE•Journal of Racial and Ethnic…•2025•References: 65

  • Codify Abortion Rights and Access by Way of State Legislatures

    Deneen Robinson, Megan Simmons•ARTICLE•American Journal of Public Health•2023•References: 1

No prominent works on this page.

  • Codify Abortion Rights and Access by Way of State Legislatures

    Deneen Robinson, Megan Simmons•ARTICLE•American Journal of Public Health•2023•References: 1

  • Understanding and Addressing Severe Maternal Morbidity Among Black Women in Texas: Findings From a System Dynamics Group Model Building Study

    Open Access•Michael K Lemke, K K Brown et al.•ARTICLE•Journal of Racial and Ethnic…•2025•References: 65

  • The dynamic complexity of cardiovascular severe maternal morbidity among Black women in North Texas: Insights from a system dynamics group model building study

    Open Access•Michael K Lemke, K K Brown et al.•ARTICLE•Ethnicity and Health•2026•References: 2

    The application of SD GMB provided novel complex systems-grounded insights into the causes and consequences of CSMM among Black women in North Texas, and these insights were leveraged by stakeholders to identify potential preventive solutions to curb these outcomes. These insights led to initial answers to the four primary research questions, illustrating the dynamic complexity of the drivers of CSMM and identifying coherent preventive strategies

Environmental health (2 works) · Medicine (2 works) · Abortion (1 works) · American Constitutional Law and Politics (1 works) · Black women (1 works) · Community Health and Development (1 works) · Complex Systems and Decision Making (1 works) · Computer Science (1 works) · demographic modeling and climate adaptation (1 works) · Demography (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae