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Parastu Kasaie, PhD

Parastu Kasaie
  • Assistant Scientist

Departmental Affiliations

  • Epidemiology (Primary)
    • Division: Infectious Disease Epidemiology

Center & Institute Affiliations

Contact Information

615 N. Wolfe Street
Room E6530
Baltimore, Maryland 21205

View Current Courses

Education

PhD, University of Cincinnati, 2014
MS, University of Cincinnati, 2014
BS, Iran University of Science & Technology, 2008

Overview

My research interests lie at the intersection of operations research, epidemiology and data science. Specifically, I'm interested in development and analysis of computer simulation models of infectious disease epidemics in human populations, and implications of these models for public health policy making.

I have applied these models to study of Tuberculosis (TB) and HIV/AIDS epidemics, focusing on derivers of transmissions, confection of multiple infectious diseases, and patterns of aging and comorbidities among others. Calibrated against epidemiological data, these simulation models provide a powerful tool to explain the current trends in data, predict future trends under various assumptions and compare the impact of alternative interventions for prevention and control of disease.

I am currently funded on a K01 career development grant from NIH focusing on studying the epidemic of HIV/AIDS and other Sexually Transmitted Infections (STIs) among Men who have Sex with Men (MSM) in Baltimore City. I am a member of JHU Center For AIDS Research (CFAR) and the JHU Center For Tuberculosis Research.

Honors and Awards

2018 CFAR Research Scholar Award, Johns Hopkins Center For AIDS Research (CFAR), Baltimore, MD

2018 Mentored Research Scientist Development Award (K01), The National Institute of Allergy and Infectious Diseases (NIAID)

  • Simulation
  • Modeling
  • HIV
  • Epidemiology
  • Public Health
  • Tuberculosis

Selected publications

  • Kasaie P, Schumacher CM, Jennings JM, Berry SA, Tuddenham SA, Shah MS, Rosenberg ES, Hoover KW, Gift TL, Chesson H, German D, Dowdy D. Gonorrhoea and chlamydia diagnosis as an entry point for HIV pre-exposure prophylaxis: A modeling study. BMJ Open. 2019 Mar 1;9(3):e023453
  • Kasaie P, Berry SA, Shah MS, Rosenberg ES, Hoover KW, Gift TL, Chesson H, Pennington J, German D, Flynn CP, Beyrer C, Dowdy DW. Impact of providing pre-exposure prophylaxis for HIV at clinics for sexually transmitted infections in Baltimore City: an agent-based model. Sex Transmission Dis. 2018 Jun 25.
  • Kasaie P, Radford M, Kapoor S, Jung Y, Novoa BH, Dowdy D, Shah M. Economic and epidemiologic impact of guidelines for early ART initiation irrespective of CD4 count in Spain. PloSone. 2018 Nov 5;13(11): e0206755.
  • Kasaie P, Mathema B, Kelton WD, Azman AS, Pennington J, Dowdy DW. A Novel Tool Improves Existing Estimates of Recent Tuberculosis Transmission in Settings of Sparse Data Collection. PLoS One. 2015; 10(12) :e0144137.
  • Kasaie P, Kelton W. Simulation optimization for allocation of epidemic-control resources. IIE Transactions on Healthcare Systems Engineering. 2013 April 01; 3(2):78-93.

See all publications by Parastu Kasaie

  • Simulation of HIV Epidemic among Baltimore’s MSM

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