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Thanayi Lambert

Biographic Data

ID4238084
NAMEThanayi Lambert
GIVEN NAMESThanayi
FAMILY NAMELambert
SIGNATURELAMBERT T
AFFILIATIONSThe University of Texas at Arlington
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
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

No prominent works on this page.

  • 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

Black women (1 works) · Community Health and Development (1 works) · Complex Systems and Decision Making (1 works) · demographic modeling and climate adaptation (1 works) · Demography (1 works) · Demography (1 works) · Dynamics (music (1 works) · Environmental health (1 works) · Epidemiology (1 works) · Gerontology (1 works)

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