Morteza Karimzadeh

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Machine Learning

Induced Pluripotent Stem Cells

Network Analysis

Infectious Diseases

Top Venues

Journal of urban health : bulletin of the New York Academy of Medicine

International journal of data science and analytics

Nature communications

This page only lists publications with an associated author ORCID identifier.

Publications

Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine (2023)
Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine (2023)
Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine 100 (1) (2023)
Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine 100 (1) (2023)
Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine 100 (1) (2023)
Morteza Karimzadeh, Thoai Dinh Ngo, Benjamin Lucas, Hamidreza Zoraghein
Forecasting COVID-19 and Other Infectious Diseases for Proactive Policy: Artificial Intelligence Can Help. Journal of urban health : bulletin of the New York Academy of Medicine 100 (1) (2023)
Benjamin Lucas, Behzad Vahedi, Morteza Karimzadeh
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA. International journal of data science and analytics (2022)
Behzad Vahedi, Morteza Karimzadeh, Hamidreza Zoraghein
Spatiotemporal prediction of COVID-19 cases using inter- and intra-county proxies of human interactions. Nature communications 12 (1) (2021)