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Shruti H. Mehta

Johns Hopkins University - Department of Epidemiology

MD

United States

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The Potential Epidemiological Impact of COVID-19 on the HIV/AIDS Epidemic and the Cost-Effectiveness of Linked, Opt-Out HIV Testing: A Modeling Study in Six US Cities

Number of pages: 18 Posted: 04 Oct 2020
Xiao Zang, Emanuel Krebs, Siyuan Chen, Micah Piske, Wendy S. Armstrong, Czarina N. Behrends, Carlos del Rio, Daniel J. Feaster, Brandon DL Marshall, Shruti H. Mehta, Jonathan Mermin, Lisa R. Metsch, Bruce R. Schackman, Steffanie A. Strathdee, Bohdan Nosyk and Localized HIV Modeling Study Group
Brown University - Department of Epidemiology, University of British Columbia (UBC) - British Columbia Centre for Excellence in HIV/AIDS, Simon Fraser University (SFU) - Faculty of Health Sciences, University of British Columbia (UBC) - British Columbia Centre for Excellence in HIV/AIDS, Emory University - Division of Infectious Diseases, Cornell University - Department of Healthcare Policy and Research, Emory University - Division of Infectious Diseases, University of Miami - Department of Public Health Sciences, Brown University - Department of Epidemiology, Johns Hopkins University - Department of Epidemiology, Centers for Disease Control and Prevention - National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Columbia University - Department of Sociomedical Sciences, Cornell University - Department of Healthcare Policy and Research, University of California, San Diego (UCSD) - Division of Infectious Diseases and Global Public Health, University of British Columbia (UBC) - British Columbia Centre for Excellence in HIV/AIDS and Independent
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HIV, COVID-19, linked opt-out HIV testing, cost-effectiveness, dynamic HIV transmission model