Sasikiran Kandula

Predicting sample size required for classification performance

Rosa L. Figueroa, Qing Zeng‐Treitler, Sasikiran Kandula et al. · BMC Medical Informatics and Decision Making · 2012 · 517 citations · Full text

Computing, Data Science, Machine Learning +16

Differential effects of intervention timing on COVID-19 spread in the United States

Sen Pei, Sasikiran Kandula, Jeffrey Shaman · Science Advances · 2020 · 344 citations · Full text

Medicine, Infectious Disease Control, Preventive Medicine +12

A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States

Nicholas G Reich, Logan Brooks, Spencer J. Fox et al. · Proceedings of the National Academy of Sciences · 2019 · 323 citations · Full text

Public Health, Infectious Disease Control, Infectious Diseases +17

Estimating the infection-fatality risk of SARS-CoV-2 in New York City during the spring 2020 pandemic wave: a model-based analysis

Wan Yang, Sasikiran Kandula, Mary Huynh et al. · The Lancet Infectious Diseases · 2020 · 215 citations · Full text

Public Health, Infectious Diseases, Urban Health +16

Burden and characteristics of COVID-19 in the United States during 2020

Sen Pei, Teresa K. Yamana, Sasikiran Kandula et al. · Nature · 2021 · 205 citations · Full text

Public Health, Infectious Disease Control, Infectious Diseases +12