Qualifications

BA in Slavic Languages and Literatures (University of California, Berkeley) MPH in Epidemiology/Biostatistics (University of California, Berkeley) PhD in Epidemiology (University of California, Berkeley)

About

Andrew Anglemyer is a Senior Epidemiologist specialising in infectious diseases and study design methodology within the Health Intelligence and Surveillance Team. After completion of graduate school in 2010, Andrew was a post-doctoral student studying the epidemiology of paediatric infectious diseases at Stanford University. Subsequently, he was an Assistant Professor of Public Health at California State University, Monterey Bay and then an Assistant Professor of Statistics at Naval Postgraduate School in Monterey, California, prior to moving with his family to New Zealand in 2018. He is currently also a Research Associate Professor at University of Otago. At ESR, Andrew primarily provides epidemiological analyses and oversight on the surveillance of both invasive pneumococcal disease and influenza-like-illness, though collaborates with multiple multi-disciplinary teams at ESR on various projects, as well (including but not limited to sexually transmitted infections, invasive group A strep, antimicrobial resistance). Andrew has been the lead epidemiologist on dozens of unique public health and clinical studies and looks forward to continuing to contribute to the field. Some of these topics have included quantifying the differences in public versus private health service provisions in the developing world, estimating the risk of homicide and suicide as a result of firearms-related violence, determining the effect of community-engaged interventions on activity and health in school children, predicting clinical outcomes for encephalitis patients, evaluating the effectiveness in a mental health service delivery programme for chronic inebriates, and pooling the effects of early treatment on HIV transmission and disease progression, among other topics. Additionally, he has published and performed numerous analyses employing newer sampling strategies to better assess how an individual’s social network can impact their high-risk behaviours and subsequent poor outcomes. He is personally interested in the pedagogy of statistics, assisting others with their understanding of statistics and data analytics, and study methodology. His approach to collaborations and advising has changed over time as he has learned what works for some teams and what does not. Understanding the important roles different mediums have on understanding the pragmatic applications of statistical inference remains a primary interest.

Publications