Melody Goodman

Interim Dean, School of Global Public Health

Professor of Biostatistics

Professional overview

Dr. Melody S. Goodman is a biostatistician and research methodologist. Her research interest is identifying the origins of health inequities and developing, as necessary, evidence-informed primary prevention strategies to reduce these health inequities. Dr. Goodman’s research efforts seek to develop a more rigorous understanding of the social risk factors contributing to urban health inequities to develop culturally competent, region-specific solutions through collaborative activities with community members, community-based organizations, faith-based organizations, and other community health stakeholders. Her work aims to develop solutions for improving health in minoritized and medically underserved communities. 

Dr. Goodman led the team that developed and comprehensively evaluated the Research Engagement Survey Tool, a quantitative survey measure to assess the level of community engagement in research studies from the community partner perspective. She is the Founding Director of the Center for Antiracism, Social Justice, & Public Health. With numerous funders supporting her work (e.g., National Institutes of Health, Robert Wood Johnson Foundation, Verizon Foundation, Long Island Community Foundation, Patient-Centered Outcomes Research Institute, and Susan G. Komen), she has published over 100 peer-reviewed journal articles and two books (2018 Routledge/Taylor & Francis Group): 1) Public Health Research Methods for Partnerships and Practice and 2) Biostatistics for Clinical and Public Health Research. She is a Fellow of the American Statistical Association and the inaugural recipient of the Societal Impact Award from the Caucus for Women in Statistics (2021).

Education

BS, Economics and Applied Mathematics & Statistics, State University of New York at Stony Brook, Stony Brook, NY

MS, Biostatistics, Harvard University, Cambridge, MA

PhD, Biostatistics (Minors: Social Determinants of Health Disparities and Theoretical Statistics), Harvard University, Cambridge, MA

Honors and awards

Fellow, American Statistical Association (2021)

Societal Impact Award, Caucus for Women in Statistics (2021)

Network Builder Award, Robert Wood Johnson Foundation New Connections (2019)

Siteman Cancer Center “Rock Doc” (2013)

Satcher Health Leadership Institute - Morehouse School of Medicine, Community Health Leadership Institute Intensive Cohort II (2013)

Women of the Year - Health, National Coalition of 100 Black Women, Inc. - Suffolk Chapter (2010)

President’s Award for Teaching Excellence - Stony Brook University (2009)

President’s Award for Excellence in Team Achievement - Stony Brook University (2008)

Areas of research and study

Biostatistics

Community Health

Community-based Participatory Research

Dissemination and Implementation of Evidence-based Programs

Health Disparities

Health Equity

Minorities

Minority Health

Quantitative Research

Publications

Publications

Age-specific trends in pregnancy-associated suicide and homicide rates by race/ethnicity, 2005–2021

Increasing Interest in Data Literacy: The Quantitative Public Health Data Literacy Training Program

Neighborhood characteristics and health literacy: Evidence from the survey of racism and public health

Social vulnerability and genetic service utilization among unaffected BRIDGE trial patients with inherited cancer susceptibility

Sociodemographic variation in experiences with medication shortages among US adults

Structural Determinants of Health Literacy Among Formerly Incarcerated Individuals: Insights From the Survey of Racism and Public Health

A training protocol compliance of 13% was observed in a research study of clinical research professionals

An Immediate but Fleeting Interest in MPH Programs After the Onset of COVID-19: An Interrupted Time-Series Analysis

Application of a Heuristic Framework for Multilevel Interventions to Eliminate the Impact of Unjust Social Processes and Other Harmful Social Determinants of Health

Associations between perceived discrimination over the life course, subjective social status, and health literacy: A racial/ethnic stratification analysis

Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age

Bayesian Kernel Machine Regression for Social Epidemiologic Research

Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities: Rigorous Methods Are Available

Designing for data sharing: Considerations for advancing health equity in data management and dissemination

Detecting univariate, bivariate, and overall effects of drug mixtures using Bayesian kernel machine regression

Determinants of Breast Cancer Screening Adherence During the COVID-19 Pandemic in a Cohort at Increased Inherited Cancer Risk in the United States

Distal Factors Associated With Proximal Overdose Risk Behaviors and Recent Non-Fatal Overdose Among a Sample of People Who Use Illicit Opioids in New York City

Enhanced family history-based algorithms increase the identification of individuals meeting criteria for genetic testing of hereditary cancer syndromes but would not reduce disparities on their own

Evaluating ApoL1 Genetic Testing Policy Options for Transplant Centers: A Delphi Consensus Panel Project with Stakeholders

Love after lockup: examining the role of marriage, social status, and financial stress among formerly incarcerated individuals

Bather, J. R., McSorley, A. M. M., Rhodes-Bratton, B., Cuevas, A., Rouhani, S., Nafiu, R. T., Harris, A., & Goodman, M. (n.d.).

Publication year

2024

Journal title

Health and Justice

Volume

12

Issue

1

10.1186/s40352-024-00264-x

Abstract

Abstract

Background: Upon reintegration into society, formerly incarcerated individuals (FIIs) experience chronic financial stress due to prolonged unemployment, strained social relationships, and financial obligations. This study examined whether marriage and perceived social status can mitigate financial stress, which is deleterious to the well-being of FIIs. We also assessed whether sociodemographic factors influenced financial stress across marital status. We used cross-sectional data from 588 FIIs, collected in the 2023 Survey of Racism and Public Health. The financial stress outcome (Cronbach’s α = 0.86) comprised of five constructs: psychological distress, financial anxiety, job insecurity, life satisfaction, and financial well-being. Independent variables included marital and social status, age, race/ethnicity, gender identity, educational attainment, employment status, and number of dependents. Multivariable models tested whether financial stress levels differed by marital and perceived social status (individual and interaction effects). Stratified multivariable models assessed whether social status and sociodemographic associations varied by marital status. Results: We found that being married/living with a partner (M/LWP, b = -5.2) or having higher social status (b = -2.4) were protective against financial stress. Additionally, the social status effect was more protective among divorced, separated, or widowed participants (b = -2.5) compared to never married (NM, b = -2.2) and M/LWP (b = -1.7) participants. Lower financial stress correlated with Black race and older age, with the age effect being more pronounced among M/LWP participants (b = -9.7) compared to NM participants (b = -7.3). Higher financial stress was associated with woman gender identity (overall sample b = 2.9, NM sample b = 5.1), higher education (M/LWP sample b = 4.4), and having two or more dependents (overall sample b = 2.3, M/LWP sample b = 3.4). Conclusions: We provide novel insights into the interrelationship between marriage, perceived social status, and financial stress among FIIs. Our findings indicate the need for policies and programs which may target the family unit, and not only the individual, to help alleviate the financial burden of FIIs. Finally, programs that offer legal aid to assist in expungement or sealing of criminal records or those offering opportunities for community volunteer work in exchange for vouchers specific to legal debt among FIIs could serve to reduce financial stress and improve social standing.

Lower social vulnerability is associated with a higher prevalence of social media-involved violent crimes in Prince George’s County, Maryland, 2018–2023

Bather, J. R., Silver, D., Gill, B. P., Harris, A., Bae, J. Y., Parikh, N. S., & Goodman, M. S. (n.d.).

Publication year

2024

Journal title

Injury Epidemiology

Volume

11

Issue

1

10.1186/s40621-024-00538-w

Abstract

Abstract

Background: Social vulnerability may play a role in social media-involved crime, but few studies have investigated this issue. We investigated associations between social vulnerability and social media-involved violent crimes. Methods: We analyzed 22,801 violent crimes occurring between 2018 and 2023 in Prince George’s County, Maryland. Social media involvement was obtained from crime reports at the Prince George’s County Police Department. Social media application types included social networking, advertising/selling, ridesharing, dating, image/video hosting, mobile payment, instant messaging/Voice over Internet Protocol, and other. We used the Centers for Disease Control and Prevention’s Social Vulnerability Index to assess socioeconomic status (SES), household characteristics, racial and ethnic minority status, housing type and transportation, and overall vulnerability. Modified Poisson models estimated adjusted prevalence ratios (aPRs) among the overall sample and stratified by crime type (assault and homicide, robbery, and sexual offense). Covariates included year and crime type. Results: Relative to high tertile areas, we observed a higher prevalence of social media-involved violent crimes in areas with low SES vulnerability (aPR: 1.82, 95% CI: 1.37-2.43), low housing type and transportation vulnerability (aPR: 1.53, 95% CI: 1.17-2.02), and low overall vulnerability (aPR: 1.63, 95% CI: 1.23-2.17). Low SES vulnerability areas were significantly associated with higher prevalences of social media-involved assaults and homicides (aPR: 1.64, 95% CI: 1.02-2.62), robberies (aPR: 2.00, 95% CI: 1.28-3.12), and sexual offenses (aPR: 2.07, 95% CI: 1.02-4.19) compared to high SES vulnerability areas. Low housing type and transportation vulnerability (vs. high) was significantly associated with a higher prevalence of social media-involved robberies (aPR: 1.54, 95% CI:1.01-2.37). Modified Poisson models also indicated that low overall vulnerability areas had higher prevalences of social media-involved robberies (aPR: 1.71, 95% CI: 1.10-2.67) and sexual offenses (aPR: 2.14, 95% CI: 1.05-4.39) than high overall vulnerability areas. Conclusions: We quantified the prevalence of social media-involved violent crimes across social vulnerability levels. These insights underscore the need for collecting incident-based social media involvement in crime reports among law enforcement agencies across the United States and internationally. Comprehensive data collection at the national and international levels provides the capacity to elucidate the relationships between neighborhoods, social media, and population health.

National and Regional Trends in Police Pursuit Fatalities in the US

Racial and Ethnic Composition of Departments of Health Policy & Management and Health Education & Behavioral Sciences

Racial Composition of Past and Current Social Environments and Health Literacy

Racial Composition of Social Environments Over the Life Course Using the Pictorial Racial Composition Measure: Development and Validation Study