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Roni Rosenfeld

Biographic Data

ID6067607
NAMERoni Rosenfeld
GIVEN NAMESRoni
FAMILY NAMERosenfeld
SIGNATUREROSENFELD R
AFFILIATIONSCarnegie Mellon University
ORCID0000-0002-3274-5862
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Infectious disease surveillance needs for the United States

    Open Access•Marc Lipsitch, Mary T Bassett et al.•ARTICLE•Frontiers in Public Health•2024

    The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to …

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • A large-scale immuno-epidemiological simulation of influenza A epidemics

    Open Access•Sarah Lukens, Jay V DePasse et al.•ARTICLE•BMC Public Health•2014

    We present a framework for multi-scale simulations of influenza epidemics that enables the study of population-level effects of individual differences in infections and symptoms, with minimal additional computational cost compared to the existing population-level simulations

  • FRED (A Framework for Reconstructing Epidemic Dynamics)

    Open Access•John J Grefenstette, Shawn T Brown et al.•ARTICLE•BMC Public Health•2013

    State and county public health planners can use FRED to explore the effects of possible influenza epidemics in specific geographic regions of interest and to help evaluate the effect of interventions such as vaccination programs and school closure policies. FRED is available under a free open source license in order to contribute to the development of better modeling tools and to encourage open discussion of modeling tools being used to evaluate …

  • Universal speech interfaces

    Open Access•Ronald Rosenfeld, Roni Rosenfeld et al.•ARTICLE•interactions•2001

    In recent years speech recognition has reached the point of commercial viability realizable on any off-the-shelf computer. This is a goal that has long been sought by both the research community and by prospective users. Anyone who has used these technologies understands that the recognition has many flaws and there is much still to be

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • Universal speech interfaces

    Open Access•Ronald Rosenfeld, Roni Rosenfeld et al.•ARTICLE•interactions•2001

    In recent years speech recognition has reached the point of commercial viability realizable on any off-the-shelf computer. This is a goal that has long been sought by both the research community and by prospective users. Anyone who has used these technologies understands that the recognition has many flaws and there is much still to be

  • FRED (A Framework for Reconstructing Epidemic Dynamics)

    Open Access•John J Grefenstette, Shawn T Brown et al.•ARTICLE•BMC Public Health•2013

    State and county public health planners can use FRED to explore the effects of possible influenza epidemics in specific geographic regions of interest and to help evaluate the effect of interventions such as vaccination programs and school closure policies. FRED is available under a free open source license in order to contribute to the development of better modeling tools and to encourage open discussion of modeling tools being used to evaluate …

  • A large-scale immuno-epidemiological simulation of influenza A epidemics

    Open Access•Sarah Lukens, Jay V DePasse et al.•ARTICLE•BMC Public Health•2014

    We present a framework for multi-scale simulations of influenza epidemics that enables the study of population-level effects of individual differences in infections and symptoms, with minimal additional computational cost compared to the existing population-level simulations

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • Infectious disease surveillance needs for the United States

    Open Access•Marc Lipsitch, Mary T Bassett et al.•ARTICLE•Frontiers in Public Health•2024

    The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to …

COVID-19 epidemiological studies (4 works) · Medicine (4 works) · Computer Science (3 works) · Environmental health (3 works) · Influenza Virus Research Studies (3 works) · Public health (3 works) · Biostatistics (2 works) · Data-Driven Disease Surveillance (2 works) · Disease (2 works) · Pandemic (2 works)

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