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Navid Ghaffarzadegan
Researcher at Virginia Tech
Publications - 56
Citations - 1260
Navid Ghaffarzadegan is an academic researcher from Virginia Tech. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 15, co-authored 47 publications receiving 955 citations. Previous affiliations of Navid Ghaffarzadegan include Massachusetts Institute of Technology & State University of New York System.
Papers
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How small system dynamics models can help the public policy process
TL;DR: In this article, the authors discuss the main difficulties inherent in the public policy-making process and discuss how small system dynamics models can address policy making difficulties by examining two promising examples.
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Too Many PhD Graduates or Too Few Academic Job Openings: The Basic Reproductive Number R0 in Academia.
TL;DR: The system in many places is saturated, far beyond capacity to absorb new PhDs in academia at the rates that they are being produced, and it is shown that the reproduction rate in academia is very high.
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A Note on PhD Population Growth in Biomedical Sciences.
TL;DR: The authors used the basic reproductive number in academia (R0) parameter to make sense of PhD population growth in biomedical fields and found that there is approximately only one tenure-track position in the US for every 6.3 PhD graduates.
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Simulation-based estimation of the early spread of COVID-19 in Iran: actual versus confirmed cases
TL;DR: A simulation‐based approach which combines various sources of data to estimate the magnitude of outbreak in Iran's case, an epicenter of the COVID‐19 pandemic in winter 2020, and suggests that absent strong sustaining of contact reductions the epidemic may resurface.
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The Modest Impact of Weather and Air Pollution on COVID-19 Transmission
Ran Xu,Hazhir Rahmandad,Marichi Gupta,Catherine DiGennaro,Navid Ghaffarzadegan,Heresh Amini,Mohammad S. Jalali +6 more
TL;DR: In this article, the relative risk of COVID-19 transmission due to environmental factors in 1,072 global cities was estimated, controlling for the delay between infection and detection, associating those with local weather conditions and ambient air pollution.