Brooke Nichols, PhD

Associate Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

Brooke Nichols, PhD, MSc, is an infectious disease mathematical modeller and health economist specializing in transmission dynamics, implementation modeling, and optimal resource allocation for pathogens including HIV, tuberculosis, SARS-CoV-2, and other pathogens of pandemic potential. Her work seeks to minimize the health and economic impact of infectious diseases through innovative quantitative approaches.

Dr. Nichols leads a multi-continental research team of quantitative scientists and modellers who integrate insights from clinical science, epidemiology, health economics, and mathematical modeling to develop actionable, evidence-based strategies. Her team advances novel quantitative methods and adapts existing frameworks to design cost-effective, scalable interventions aimed at reducing transmission, morbidity, and mortality. Their work has significantly influenced national and global health policies across critical public health domains. This includes contributing to evidence to normative guidance on HIV prevention and care (e.g., optimizing pre-exposure prophylaxis, scaling up HIV self-testing, improving viral load monitoring, and enhancing differentiated service delivery models), informing global strategies for the optimal use of diagnostics during the SARS-CoV-2 pandemic (spanning mitigation, treatment, and surveillance), and guiding the development of World Health Organization’s Target Product Profiles (TPPs) for innovative diagnostics.

Publications

  • Published 1/13/2026

    de Jong SPJ, Nichols BE, de Ruijter A, Parker E, Mitesser V, Happi C, de Jong MD, Han AX, Russell CA. Global solidarity in genomic surveillance improves early detection of acute respiratory virus threats. Nat Commun. 2026 Jan 13. PMID: 41530129.

    Read at: PubMed

  • Published 12/29/2025

    Ockhuisen T, de Nooy A, Girdwood S, Hansen MA, Kohli M, Ruhwald M, Ismail N, Nichols BE. Cost and impact of decentralized tuberculosis testing: a modeling analysis of price thresholds for molecular instruments in high-burden settings. EClinicalMedicine. 2026 Jan; 91:103728. PMID: 41542226.

    Read at: PubMed

  • Published 10/29/2025

    Chevalier JM, Hansen MA, Grantz KH, Gleeson B, Blumel B, Chuchu V, Khan S, Sigwebela N, Chimhini G, Fitzgerald F, Ferreyra C, Nichols BE. Potential Health and Cost Impacts of a Point-of-Care Test for Neonatal Sepsis and Possible Serious Bacterial Infections in Infants: A Modeling Analysis in Two Settings. Open Forum Infect Dis. 2025 Nov; 12(11):ofaf652. PMID: 41216423.

    Read at: PubMed

  • Published 10/1/2025

    de Nooy A, Miller C, Ockhuisen T, Falzon D, Korobitsyn A, Ruhwald M, Ismail N, Kohli M, Nichols BE. Guiding the development of the tuberculosis screening target product profile using single-screen and multi-screen approaches: a modelling study. Lancet Glob Health. 2025 Oct; 13(10):e1750-e1760. PMID: 40975082.

    Read at: PubMed

  • Published 9/25/2025

    Boer NA, Emperador DM, Eckerle I, Agogo E, Nichols BE. Evaluating the impact of trade-offs in diagnostic test accuracy, time-to-isolation, and accessibility on outbreak response for the Ebola virus: a mathematical modeling study. BMC Infect Dis. 2025 Sep 25; 25(1):1122. PMID: 40999340.

    Read at: PubMed

Education

  • Erasmus Universiteit Rotterdam, PhD
  • University of Massachusetts Amherst, MS
  • Mount Holyoke College, BA