National Science Foundation, Mathematical and Physical Sciences (MPS)
People:
2021 – 2024 Continue Reading Collaborative Research: Genetic-epidemiology framework for malaria mosquito and disease
National Science Foundation, Biological Sciences (BIO)
People: Jason Rohr
2021 – 2025 Continue Reading Identifying local-to-global “win-win” solutions for human health and sustainability through infectious disease control
National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Sean Moore
2021 – 2024 Continue Reading Assessing the impact of COVID-19 interventions on human mobility and SARS-CoV-2 transmission dynamics in the United States
National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Amy Wesolowski
2021 – 2026 Continue Reading Malaria across borders: Measuring imported infections and contributions to local transmission in Uganda and Zimbabwe
National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Jeffrey Shaman
2021 – 2027 Continue Reading Quantifying Error Growth to Improve Infectious Disease Forecast Accuracy
National Institutes of Health, National Institute of General Medical Sciences
People: Laura White
2021 – 2026 Continue Reading Maximizing Investigators’ Research Award (R35)
National Institutes of Health, National Institute on Aging
People: Howard Chang
2021 – 2023 Continue Reading Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity
National Science Foundation, Biological Sciences (BIO)
People:
2021 – 2022 Continue Reading RAPID: Projecting Possible Scenarios of COVID-19 in the United States
National Science Foundation, Engineering (ENG)
People: Siqian Shen
2021 – 2024 Continue Reading Understanding the Impacts of COVID-19 Pandemic on Human Mobility, Transportation Network Redesign and System Resilience
National Science Foundation, Biological Sciences (BIO)
People: Katriona Shea
2021 – 2023 Continue Reading RAPID: COVID-19 Scenario Modeling Hub to harness multiple models for long-term projections and decision support
National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Alison Hill
2021 – 2022 Continue Reading Quantification and prediction of treatment efficacy for HIV cure strategies
National Institutes of Health, National Institute of Allergy and Infectious Diseases
People: Derek Cummings, Amy Wesolowski
2021 – 2027 Continue Reading Human mobility models to forecast disease dynamics and the effectiveness of public health interventions
National Science Foundation, Computer and Information Science and Engineering (CISE)
People: Pavel Skums
2021 – 2026 Continue Reading CAREER: Addressing Algorithmic Challenges in Computational Genomic Epidemiology
National Institutes of Health, National Institute of Environmental Health Sciences
People: Howard Chang
2021 – 2024 Continue Reading Dust storms and emergency department visits in four southwestern US states
National Institutes of Health, National Institute of Environmental Health Sciences
People: Howard Chang
2021 – 2023 Continue Reading Climate Penalty: Climate-driven Increases in Ozone and PM2.5 Levels and Mortality
Midas Coordination Center Urgent Grant Program – Supplemental
People: Keisuke Ejima
2021 – 2021 Continue Reading Test-based guideline to end isolation of patients
Midas Coordination Center Urgent Grant Program – Supplemental
People: Kyle Dahlin
2021 – 2021 Continue Reading Modelling University Responses to COVID-19
National Institutes of Health, National Institute on Minority Health and Health Disparities
People: Kirk Dombrowski
2021 – 2026 Continue Reading The impact of enculturation on the epigenetic relationship between chronic stress and hypertension in Yup’ik Alaska Native people
National Science Foundation, Biological Sciences (BIO)
People: Eric Lofgren
2021 – 2023 Continue Reading RAPID: Curtailing Nosocomial Amplification of COVID-19
National Institutes of Health, National Institute of General Medical Sciences
People: Justin Lessler
2021 – 2025 Continue Reading Merging machine learning and mechanistic models to improve prediction and inference in emerging epidemics