Conduct research and develop software in support of infectious disease modeling and operational forecasting initiaves. Principle investigator on several contracts and R&D initiatives to generate near-term forecasts of COVID-19 and influenza targets.
Infectious Disease Modeling
Publications
SD Turner, C Hulme-Lowe, VP Nagraj.
Forecasting Influenza-Like Illness (ILI) during the COVID-19 Pandemic.
MedrXiv,
2022.
VP Nagraj, C Hulme-Lowe, S Jessa, SD Turner.
Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation.
Poster presented at epiDAMIK workshop Washington DC,
2022.
VP Nagraj, C Hulme-Lowe, S Jessa, SD Turner.
Automated Infectious Disease Forecasting: Use-cases and Practical Considerations for Pipeline Implementation.
arXiv,
2022.
EY Cramer, EL Ray, …, VP Nagraj, SL Guertin, C Hulme-Lowe, SD Turner, …, M Biggerstaff, NG Reich.
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.
PNAS,
2022.
P Moraga, I Dorigatti, ZN Kamvar, P Piatkowski, SE Toikkanen, VP Nagraj, C Donnelly, T Jombart.
epiflows: an R package for risk assessment of travel-related spread of disease.
F1000 Research,
2019.
VP Nagraj, Nistara Randhawa, Finlay Campbell, Thomas Crellen, Bertrand Sudre, Thibaut Jombart.
epicontacts: Handling, visualisation and analysis of epidemiological contacts.
F1000 Research,
2018.
PDF Project Project Project doi.org/10.12688/f1000research.14492.1