Selected Grants

Smart Intervention Strategies for Hepatitis C Elimination
National Science Foundation (Award numbers 1722614, 1722665, and 1722906)
2017-2022 (MGH PI: Chhatwal)
The overall goal of this grant is to inform hepatitis C elimination at the state level by developing simulation models and online tools for different stakeholders.

Decision Analysis for Colorectal Cancer Screening
Agency for Healthcare Research and Quality HHSA-290-2015-00007-I-EPC5
2018-2021 (MGH PI: Knudsen)
The goal of the project is to use modeling to estimate the benefits and harms of colorectal cancer screening strategies that vary by the age to begin screening, age to end screening, screening interval, and screening modality. The analyses will be used to inform the U.S. Preventive Services Task Force 2021 colorectal cancer screening recommendations.

Risk of hepatocellular cancer after virologic cure with direct-acting antiviral agents in individuals with hepatitis C
Department of Defense
2019-2022 (MGH PI: Chhatwal)
The overall goal of this study is to evaluate the benefits versus harms of HCC surveillance in chronic hepatitis C virologically cured with the new direct-acting antiviral regimens.

Thyroid Nodule Treatment Optimization: A Personalized Approach
NIH/NCI – R37 (ESI Merit Award, R01 equivalent)
2019- 2026 (MGH PI: Lubitz)
This grant proposes to examine the impact of new diagnostic technologies and personalized surveillance strategies, using mathematical disease simulation modeling, on meaningful patient outcomes, and identify patient management approaches that improve clinical outcomes.

Precision Management of Cystic Precursors to Pancreatic Cancer
National Institutes of Health/NCI R01CA237133
2019-2024 (MGH PI: Pandharipande)
The goal of the grant is to find the best ways to prevent pancreatic cancer deaths in patients with pancreatic cysts by developing a simulation model of the natural history model of incidental pancreatic cysts.

Using system dynamics to enhance the FDA’s opioids systems model and address the ongoing crisis
FDA: U01FD006868-01
The goal of this project is to enhance and expand the FDA’s current opioid systems model to augment the capabilities of policy and decision-makers to curb the opioid crisis.

HEALing Communities Study: Developing and Testing an Integrated Approach to Address the Opioid Crisis (Data Coordinating Center)
NIH 1 UM1 DA049394 01
2019-2023 (MGH PI: Chhatwal)
The goal of this study is to evaluate the cost-effectiveness and budget impact of interventions that can reduce opioid-related deaths in HEALing Communities Study and other jurisdictions.

Cost Effectiveness of Germline Genetic Testing in Pancreatic Cancer
NIH Mentored Clinical Scientist Research Career Development Award (K08)
Grant Number: 1K08CA248473-01
2020-2025 (MGH PI: Peters)
Extend an existing microsimulation model of pancreatic adenocarcinoma (PDAC) to incorporate genetic testing results, identify the clinical effectiveness and cost-effectiveness of germline genetic testing for patients with PDAC and first-degree relatives.

Expanding FDA’s opioids systems model to conduct economic evaluations and outcome analyses of national opioid policies
FDA: U01FD00706401
2020-2022 (MGH PI: Jalali)
The goal of this project is to work collaboratively with FDA to expand its current opioids systems model to include a cost-effectiveness analysis of interventions and policies to reduce opioid-related illnesses, including opioid misuse, use disorder (OUD), and overdose.

Comparative Modeling of Effective Policies for Colorectal Cancer Control
National Cancer Institute U01CA253013
2020-2025 (MGH PI: Knudsen)
Despite large increases in screening in the past two decades, colorectal cancer remains the second leading cause of cancer death in the U.S. The goal of this work is to use microsimulation modeling to evaluate and prioritize interventions to further reduce the burden of colorectal cancer.

Development of the Thyroid Cancer Quality of Life Index
American Cancer Society Research Scholar Grant (10% FTE)
2020-2024 (MGH PI: Lubitz)
The grant proposes to develop a rigorous and responsive patient-reported outcome instrument for patients with thyroid cancer, adequate domain coverage, and item clarity in a subset of patients using cognitive testing techniques.

Collaborative Research: Mitigation and Suppression of Coronavirus Pandemic with Data-driven RAPID Decisions Using COVID-19 Simulator
National Science Foundation
2021-2022 (MGH PI: Chhatwal)
This study will estimate the underlying prevalence of COVID-19 at the county level and project COVID-19 cases under various non-pharmaceutical and pharmaceutical interventions.