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Benjamin M. Althouse

Benjamin M. Althouse

· Affiliate Associate Professor

University of Washington · Information School

Active 2008–2026

h-index59
Citations16.2k
Papers343159 last 5y
Funding$2.9M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Ben Althouse is a Research Scientist at the Institute for Disease Modeling and an Omidyar Fellow at the Santa Fe Institute. He holds a PhD in Epidemiology and a Master of Science in Biostatistics from the Johns Hopkins Bloomberg School of Public Health, where he was awarded an NSF Graduate Research Fellowship. Additionally, he has Bachelor of Science degrees in Mathematics and Biochemistry from the University of Washington. His previous work includes mathematical modeling of sylvatic dengue virus transmission in nonhuman primates in Senegal, examining the role of antimicrobial use on the evolution of drug resistance, and utilizing Twitter as a model system of co-infection dynamics. He has also employed novel data sources such as Google searches, Twitter, and Wikipedia article views for population-level surveillance of infectious and chronic diseases. Ben is an Affiliate Faculty member in the Department of Biology at New Mexico State University, Las Cruces, and an Affiliate Assistant Professor at the Information School at UW.

Research topics

  • Environmental health
  • Telecommunications
  • Medicine
  • Virology
  • Biology
  • Engineering

Selected publications

  • Superspreading events in the transmission dynamics of SARS-CoV-2: Opportunities for interventions and control

    PLoS Biology · 2020 · 284 citations

    1st authorCorresponding

    Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 2019 (COVID-19) disease, has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely used-appropriately and less appropriately-to characterize the transmissibility of the virus, hides the fact that transmission is stochastic, often dominated by a small number of individuals, and heavily influenced by supe…

  • Risk of COVID-19 breakthrough infection and hospitalization in individuals with comorbidities

    Vaccine · 2023-02-16 · 45 citations

    articleOpen access

    BACKGROUND: The successful development of multiple COVID-19 vaccines has led to a global vaccination effort to reduce severe COVID-19 infection and mortality. However, the effectiveness of the COVID-19 vaccines wane over time leading to breakthrough infections where vaccinated individuals experience a COVID-19 infection. Here we estimate the risks of breakthrough infection and subsequent hospitalization in individuals with common comorbidities who had completed an initial vaccination series. MET…

  • The Role of Directionality, Heterogeneity, and Correlations in Epidemic Risk and Spread

    SIAM Review · 2023-05-01 · 33 citations

    article

    Most models of epidemic spread, including many designed specifically for COVID-19, implicitly assume mass-action contact patterns and undirected contact networks, meaning that the individuals most likely to spread the disease are also the most at risk to receive it from others.Here, we review results from the theory of random directed graphs which show that many important quantities, including the reproduction number and the epidemic size, depend sensitively on the joint distribution of in-and o…

  • Trade-offs shaping transmission of sylvatic dengue and Zika viruses in monkey hosts

    Nature Communications · 2024-03-27 · 28 citations

    articleOpen access

    Mosquito-borne dengue (DENV) and Zika (ZIKV) viruses originated in Old World sylvatic (forest) cycles involving monkeys and canopy-living Aedes mosquitoes. Both viruses spilled over into human transmission and were translocated to the Americas, opening a path for spillback into Neotropical sylvatic cycles. Studies of the trade-offs that shape within-host dynamics and transmission of these viruses are lacking, hampering efforts to predict spillover and spillback. We infected a native, Asian host…

  • The unintended consequences of inconsistent closure policies and mobility restrictions during epidemics

    BMC Global and Public Health · 2023-12-04 · 11 citations

    articleOpen access1st authorCorresponding

    Background: Controlling the spread of infectious diseases-even when safe, transmission-blocking vaccines are available-may require the effective use of non-pharmaceutical interventions (NPIs), e.g., mask wearing, testing, limits on group sizes, venue closure. During the SARS-CoV-2 pandemic, many countries implemented NPIs inconsistently in space and time. This inconsistency was especially pronounced for policies in the United States of America (US) related to venue closure. Methods: Here, we inv…

Recent grants

Frequent coauthors

  • Laurent Hébert‐Dufresne

    University of Vermont

    150 shared
  • Samuel V. Scarpino

    Northeastern University

    137 shared
  • John W. Ayers

    University of California, San Diego

    97 shared
  • Laura Skrip

    88 shared
  • Mark Dredze

    52 shared
  • Seth M. Noar

    University of North Carolina at Chapel Hill

    52 shared
  • Kurt M. Ribisl

    University of North Carolina at Chapel Hill

    43 shared
  • Eric C. Leas

    Qualcomm (United States)

    42 shared

Labs

Education

  • Ph.D., Epidemiology

    Johns Hopkins University

    2013
  • M.S., Biostatistics

    Johns Hopkins University

    2010
  • B.S., Mathematics

    University of Washington

    2008
  • B.S., Biochemistry

    University of Washington

    2008

Awards & honors

  • NSF Graduate Research Fellowship

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