Infectious Disease Epidemiology

Andrew Lover

Andrew Lover

Assistant Professor of Epidemiology



Andrew Lover is an assistant professor of epidemiology in the School of Public Health and Health Sciences, at UMass-Amherst. His research covers a broad range of infectious disease epidemiology, including tick-borne disease; surveillance and forecasting; malaria; and the design, implementation, and analysis of complex epidemiological studies, in both domestic (Western Massachusetts) and global contexts (including Vietnam, Lao PDR, Timor-Leste, and Cambodia).

SARS-CoV-2/COVID-19. He is currently supporting global efforts to mitigate the impacts of this pandemic. This work includes a faculty role in UMass campus response; syndromic surveillance and modeling studies; and implementation of a large-scale serological survey (“antibody test”) across Massachusetts. This study (Sero-Mass) enrolled ca. 1,250 participants across the Commonwealth in the Summer 2020; preliminary results are expected in the fall.

Tick-borne infections. The Lover Lab has recently received funding (September 2020) from the NIH for tick-borne studies in Western Massachusetts. These novel spatial case-control studies will aim to identify areas with highest human-tick overlaps, to help optimize public health tick surveillance programs in New England and beyond. More info here: (

His lab currently consists of two PhD students (Estee Cramer and Teah Snyder) and an MS student (Johanna Ravenhurst) and all are actively involved in SARS-CoV-2 public health response, including contact tracing, and modeling. Their main research studies involve a combination of qualitative and quantitative field data collection, quantitative analysis, and modeling to directly inform public health policy.


  • Infectious disease surveillance (pathogens, serology and vectors)
  • Interventional trials
  • Global health
  • Vector-borne disease


  • Research Fellow, 2018

    University of California, San Francisco

  • PhD in Epidemiology, 2015

    National University of Singapore

  • MPH in Epidemiology and Global Health, 2011

    National University of Singapore

  • MS in Organic Chemistry, 2003

    University of California, Santa Barbara

  • BA in Chemistry, 1997

    Earlham College

Recent and Upcoming Talks

Recent Publications

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Sentinel Event Surveillance to Estimate Total SARS-CoV-2 Infections, United States

Abstract: Human infections with a novel coronavirus (SARS-CoV-2) were first identified via syndromic surveillance in December of 2019 in Wuhan China. Since identification, infections (coronavirus disease-2019; COVID-19) caused by this novel pathogen have spread globally, with more than 180,000 confirmed cases as of March 16, 2020.

Quantifying treatment effects of hydroxychloroquine and azithromycin for COVID-19: a secondary analysis of an open label non-randomized clinical trial (Gautret et al, 2020)

Abstract: NB: The author stands by all analytical and statistical aspects of this preprint. However, subsequent to this analysis, further details of the original study have been released- with major uncertainties in study design, reporting, choice of endpoints, and most importantly, data integrity [1, 2].

The impact of transfluthrin on the spatial repellency of the primary malaria mosquito vectors in Vietnam: Anopheles dirus and Anopheles minimus

Abstract Background: The complexity of mosquito-borne diseases poses a major challenge to global health efforts to miti- gate their impact on people residing in sub-tropical and tropical regions, to travellers and deployed military person- nel.

Study protocol for a cluster-randomized split-plot design trial to assess the effectiveness of targeted active malaria case detection among high-risk populations in Southern Lao PDR (the AcME-Lao study)

Abstract Introduction: Novel interventions are needed to accelerate malaria elimination, especially in areas where asymptomatic parasitemia is common, and where transmission generally occurs outside of village-based settings. Testing of community members linked to a person with clinical illness (reactive case detection, RACD) has not shown effectiveness in prior studies due to the limited sensitivity of current point-of-care tests.

FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas

Abstract: We developed a contactless syndromic surveillance platform FluSense that aims to expand the current paradigm of influenza-like illness (ILI) surveillance by capturing crowd-level bio-clinical signals directly related to physical symptoms of ILI from hospital waiting areas in an unobtrusive and privacy-sensitive manner.


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  • 409 Arnold House • 715 N Pleasant Street, Amherst, MA 01003-9304
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