Lillian Rountree

    * denotes co-first authorship / / † denotes co-senior authorship

    Updated August 2026

    2026

    Rountree, L., Parikh, H., & Mukherjee, B. (2026). Data (in)equities in data science: Dissecting systemic and systematic biases in pulse oximetry (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2604.18291

    Rountree, L.*, Zimmermann, L.*, Teed, L., Weinberger, D. M., & Mukherjee, B. (2026). A tutorial on implementing statistical methods for estimating excess death with a case study and simulations on estimating excess death in the post-COVID-19 United States. Statistics in Medicine, 45(3–5), e70396. https://doi.org/10.1002/sim.70396

    Hou, Y., Cohen, E., Higginbottom, J., Rountree, L., Ren, Y., Wahl, B., Nyhan, K., & Mukherjee, B. (2026). A web application for exploring distribution in academic publications across geography and institutions in India. medRxiv. https://doi.org/10.64898/2026.03.18.26348755

    Wang, Y., Boyd, A. E., Rountree, L., Ren, Y., Nyhan, K., Nagar, R., Higginbottom, J., Ranney, M. L., Parikh, H., & Mukherjee, B. (2026). Ten core concepts for ensuring data equity in public health. JAMA Health Forum, 7(1), e256031. https://doi.org/10.1001/jamahealthforum.2025.6031

    2025

    Rountree, L., Tong, G., Bu, F., Ranney, M., & Mukherjee, B. (2025). Association of COVID-19 outcomes with measures of institutional and interpersonal trust: An ecological analysis using national data from 61 countries. Scientific Reports, 15(1), 26393. https://doi.org/10.1038/s41598-025-09758-6

    Rountree, L., Lin, Y.-T., Liu, C., Salvatore, M., Admon, A., Nallamothu, B., Singh, K., Basu, A., Bu, F., & Mukherjee, B. (2025). Reporting of fairness metrics in clinical risk prediction models used for precision health: Scoping review. Online Journal of Public Health Informatics, 17, e66598. https://doi.org/10.2196/66598

    Hauschildt, K. E., Pan, A., Bernstein, T., Admon, A. J., Mukherjee, B., Iwashyna, T. J.†, & Rountree, L.† (2025). Consideration of sociodemographics in machine learning-driven sepsis risk prediction. Critical Care Medicine, 53(9), e1815–e1820. https://doi.org/10.1097/CCM.000000000000006741

    2022

    Alhelou, N., Kavattur, P. S., Olson, M. M., Rountree, L., & Winkler, I. T. (2022). Menstruation, myopia, and marginalization: Advancing menstrual policies to “keep girls in school” at the risk of exacerbating inequalities. Health and Human Rights, 24(2), 13–28. https://pubmed.ncbi.nlm.nih.gov/36579303/

    Alhelou, N., Kavattur, P. S., Rountree, L., & Winkler, I. T. (2022). ‘We like things tangible:’ A critical analysis of menstrual hygiene and health policy-making in India, Kenya, Senegal and the United States. Global Public Health, 17(11), 2690–2703. https://doi.org/10.1080/17441692.2021.2011945

    Hoppes, E., Nwachukwu, C., Hennegan, J., Blithe, D. L., Cordova-Gomez, A., Critchley, H., Doncel, G. F., Dorflinger, L. J., Haddad, L. B., Mackenzie, A. C. L., Maybin, J. A., Moley, K., Nanda, K., Sales Vieira, C., Vwalika, B., Kibira, S. P. S., Mickler, A., OlaOlorun, F. M., Polis, C. B., … Rountree, L. (2022). Global research and learning agenda for building evidence on contraceptive-induced menstrual changes for research, product development, policies, and programs. Gates Open Research, 6, 49. https://doi.org/10.12688/gatesopenres.13609.1

    Olson, M. M., Alhelou, N., Kavattur, P. S., Rountree, L., & Winkler, I. T. (2022). The persistent power of stigma: A critical review of policy initiatives to break the menstrual silence and advance menstrual literacy. PLOS Global Public Health, 2(7), e0000070. https://doi.org/10.1371/journal.pgph.0000070