Jim Koopman
Jim Koopman

Professor Emeritus




Preferred Pronouns


Personal Academic Website

Research/Topics of Interest

Pathogens/Diseases of Main Interest/Expertise

Countries of Work/Collaboration



Koopman JS, Simon CP, Getz WM, Salter R. (2021). Modeling the population effects of escape mutations in SARS-CoV-2 to guide vaccination strategies. Epidemics, (36)

Vallejo C, Pearson CAB, Koopman J, Hladish TJ. (2019). Evaluating the probability of silent circulation of polio in small populations using the silent circulation statistic. Infectious Disease Modelling, (4)

Brouwer AF, Eisenberg JNS, Pomeroy CD, Shulman LM, Hindiyeh M, Manor Y, Grotto I, Koopman JS, Eisenberg MC. (2018). Epidemiology of the silent polio outbreak in Rahat, Israel, based on modeling of environmental surveillance data. Proceedings of the National Academy of Sciences of the United States of America, 115(45)

Greene C, Ceron NH, Eisenberg MC, Koopman J, Miller JD, Xi C, Eisenberg JNS. (2018). Asymmetric transfer efficiencies between fomites and fingers: Impact on model parameterization. American journal of infection control, 46(6)

Koopman JS. (2017). Models and analyses to understand threats to polio eradication. BMC medicine, 15(1)

Vallejo C, Keesling J, Koopman J, Singer B. (2017). Silent circulation of poliovirus in small populations. Infectious Disease Modelling, 2(4)

Henry CJ, Koopman JS. (2015). Strong influence of behavioral dynamics on the ability of testing and treating HIV to stop transmission. Scientific reports, (5)

Greene C, Vadlamudi G, Eisenberg M, Foxman B, Koopman J, Xi C. (2015). Fomite-fingerpad transfer efficiency (pick-up and deposit) of Acinetobacter baumannii-with and without a latex glove. American journal of infection control, 43(9)

Alam SJ, Zhang X, Romero-Severson EO, Henry C, Zhong L, Volz EM, Brenner BG, Koopman JS. (2013). Detectable signals of episodic risk effects on acute HIV transmission: strategies for analyzing transmission systems using genetic data. Epidemics, 5(1)

Romero-Severson EO, Alam SJ, Volz E, Koopman J. (2013). Acute-stage transmission of HIV: effect of volatile contact rates. Epidemiology (Cambridge, Mass.), 24(4)

Mayer BT, Eisenberg JN, Henry CJ, Gomes MG, Ionides EL, Koopman JS. (2013). Successes and shortcomings of polio eradication: a transmission modeling analysis. American journal of epidemiology, 177(11)

Plipat N, Spicknall IH, Koopman JS, Eisenberg JN. (2013). The dynamics of methicillin-resistant Staphylococcus aureus exposure in a hospital model and the potential for environmental intervention. BMC infectious diseases, (13)

Volz EM, Ionides E, Romero-Severson EO, Brandt MG, Mokotoff E, Koopman JS. (2013). HIV-1 transmission during early infection in men who have sex with men: a phylodynamic analysis. PLoS medicine, 10(12)

Volz EM, Koopman JS, Ward MJ, Brown AL, Frost SD. (2012). Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection. PLoS computational biology, 8(6)

Zhao J, Eisenberg JE, Spicknall IH, Li S, Koopman JS. (2012). Model analysis of fomite mediated influenza transmission. PLoS One, 7(12)

Kim JH, Koopman JS. (2012). HIV transmissions by stage in dynamic sexual partnerships. Journal of theoretical biology, (298)

Romero-Severson EO, Alam SJ, Volz EM, Koopman JS. (2012). Heterogeneity in Number and Type of Sexual Contacts in a Gay Urban Cohort. Statistical communications in infectious diseases, 4(1)

Zhang X, Zhong L, Romero-Severson E, Alam SJ, Henry CJ, Volz EM, Koopman JS. (2012). Episodic HIV Risk Behavior Can Greatly Amplify HIV Prevalence and the Fraction of Transmissions from Acute HIV Infection. Statistical communications in infectious diseases, 4(1)

Alam SJ, Romero-Severson E, Kim JH, Emond G, Koopman JS. (2010). Dynamic sex roles among men who have sex with men and transmissions from primary HIV infection. Epidemiology (Cambridge, Mass.), 21(5)

Spicknall IH, Koopman JS, Nicas M, Pujol JM, Li S, Eisenberg JN. (2010). Informing optimal environmental influenza interventions: how the host, agent, and environment alter dominant routes of transmission. PLoS computational biology, 6(10)

Kim JH, Riolo RL, Koopman JS. (2010). HIV transmission by stage of infection and pattern of sexual partnerships. Epidemiology (Cambridge, Mass.), 21(5)

Kretzschmar M, Gomes MG, Coutinho RA, Koopman JS. (2010). Unlocking pathogen genotyping information for public health by mathematical modeling. Trends in microbiology, 18(9)

Mayer BT, Koopman JS, Ionides EL, Pujol JM, Eisenberg JN. (2011). A dynamic dose-response model to account for exposure patterns in risk assessment: a case study in inhalation anthrax. Journal of the Royal Society, Interface, 8(57)

Li S, Eisenberg JN, Spicknall IH, Koopman JS. (2009). Dynamics and control of infections transmitted from person to person through the environment. American journal of epidemiology, 170(2)

Pujol JM, Eisenberg JE, Haas CN, Koopman JS. (2009). The effect of ongoing exposure dynamics in dose response relationships. PLoS computational biology, 5(6)

Ness RB, Koopman JS, Roberts MS. (2007). Causal system modeling in chronic disease epidemiology: a proposal. Annals of epidemiology, 17(7)

Koopman JS, Simon CP. (2006). Response to Rapatski BL, Suppe F, Yorke JA. HIV epidemics driven by late disease stage transmission. Journal of acquired immune deficiency syndromes (1999), 41(5)

Koopman JS, Simon CP, Riolo CP. (2005). When to control endemic infections by focusing on high-risk groups. Epidemiology (Cambridge, Mass.), 16(5)

Koopman JS. (2005). Infection transmission science and models. Japanese journal of infectious diseases, 58(6)

Koopman JS, Chick SE, Simon CP, Riolo CS, Jacquez G. (2002). Stochastic effects on endemic infection levels of disseminating versus local contacts. Mathematical biosciences, (180)

Koopman JS. (2002). Modeling infection transmission- the pursuit of complexities that matter. Epidemiology (Cambridge, Mass.), 13(6)

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