Ran Xu

University of Connecticut

  • University of Connecticut

SCHOLARLY PAPERS

3

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952

SSRN CITATIONS

1

CROSSREF CITATIONS

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Scholarly Papers (3)

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1.

The Modest Impact of Weather and Air Pollution on COVID-19 Transmission

Xu, Ran et al., Weather, air pollution, and SARS-CoV-2 transmission: a global analysis, The Lancet Planetary Health, Volume 5, Issue 10, e671-e680. DOI: https://doi.org/10.1016/S2542-5196(21)00202-3
Number of pages: 47 Posted: 11 May 2020 Last Revised: 08 Dec 2021
Ran Xu, Hazhir Rahmandad, Marichi Gupta, Catherine DiGennaro, Navid Ghaffarzadegan, Heresh Amini and Mohammad S. Jalali
University of Connecticut, Massachusetts Institute of Technology (MIT) - Sloan School of Management, Harvard University - Harvard Medical School, Massachusetts General Hospital, Virginia Polytechnic Institute & State University - Grado Department of Industrial and Systems Engineering (ISE), University of Copenhagen, Faculty of Health and Medical Sciences, Department of Public Health and Harvard University - Harvard Medical School
Downloads 596 (62,713)
Citation 6

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2.

Enhancing Long-term Forecasting: Learning from COVID-19 Models

Number of pages: 35 Posted: 19 Aug 2021
Hazhir Rahmandad, Ran Xu and Navid Ghaffarzadegan
Massachusetts Institute of Technology (MIT) - Sloan School of Management, University of Connecticut and Virginia Polytechnic Institute & State University - Grado Department of Industrial and Systems Engineering (ISE)
Downloads 199 (207,513)

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epidemics, forecast, SEIR, behavior change, system dynamics

3.

Communicating the Robustness of Findings of COVID-19 Studies

Number of pages: 27 Posted: 12 Jun 2020 Last Revised: 08 Mar 2021
Ken Frank, Qinyun Lin, Spiro Maroulis, Anna S. Mueller, Ran Xu, Joshua M. Rosenberg, Christopher S. Hayter, Ramy A. Mahmoud, Maryina Kolak, Thomas Dietz and Lixin Zhang
Michigan State University, University of Chicago, Arizona State University (ASU) - School of Public Affairs, Indiana University, University of Connecticut, University of Tennessee, Knoxville, Center for Organization Research and Design, Optinose, Inc., University of Chicago, Michigan State University, Department of Sociology and Environmental Science and Policy Program and Michigan State University
Downloads 157 (254,290)

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COVID-19 treatments, causal inference, robustness, policy