Sasikiran Kandula - Concepedia

Author

Sasikiran Kandula

Also Known As

Atte Aalto, Kandula Sasikiran, Kandula, Sasikiran, Muralidhar, Nikhil, Saisreeram Kandula, Sasikiran Kandula, Sushma Kandula

Publications

3.9K

Citations

H-Index

Concepts

All Affiliations

Columbia University Centers for Disease Control and Prevention Carnegie Mellon University University of Massachusetts Amherst University of Utah

About

Sasikiran Kandula is an author at Columbia University specializing in public health, epidemiology, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	13	14	1.4K
2	Engineering	7	7	483
3	Nursing	2	2	39
4	Language Studies	1	1	73
5	Management	1	1	101

Sasikiran Kandula

Publications

3.7K

Citations

H-Index

Page 1

	Year	Citations
Predicting sample size required for classification performance Rosa L. Figueroa, Qing Zeng‐Treitler, Sasikiran Kandula, BMC Medical Informatics and Decision Making	2012	497
Differential effects of intervention timing on COVID-19 spread in the United States Sen Pei, Sasikiran Kandula, Jeffrey Shaman Science Advances	2020	337
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States Nicholas G Reich, Logan Brooks, Spencer J. Fox, Proceedings of the National Academy of Sciences Forecasting MethodologyStrain SelectionComputational EpidemiologyUnited StatesReal-time Forecasts	2019	297
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, The Lancet Infectious Diseases Infection-fatality RiskInfectious Disease EpidemiologyVirus EpidemiologyEmerging Infectious DiseasesCovid-19 Pandemic	2020	209
Burden and characteristics of COVID-19 in the United States during 2020 Sen Pei, Teresa K. Yamana, Sasikiran Kandula, Nature Infectious Disease EpidemiologyVirus EpidemiologyEmerging Infectious DiseasesMedicineGlobal Health Crisis	2021	202
Forecasting the spatial transmission of influenza in the United States Sen Pei, Sasikiran Kandula, Wan Yang, Proceedings of the National Academy of Sciences	2018	196
Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S. Nicholas G Reich, Craig McGowan, Teresa K. Yamana, PLoS Computational Biology Forecasting MethodologyEngineeringMachine LearningEnsemble MethodsInfluenza Vaccines	2019	185
Differential Effects of Intervention Timing on COVID-19 Spread in the United States Sen Pei, Sasikiran Kandula, Jeffrey Shaman Epidemiological DynamicCovid-19 EpidemiologySocial Determinants Of HealthUnited StatesEarly Intervention	2020	165
Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 Craig McGowan, Matthew Biggerstaff, Michael A. Johansson, Scientific Reports	2019	140
Reappraising the utility of Google Flu Trends Sasikiran Kandula, Jeffrey Shaman PLoS Computational Biology Global HealthPredictive AnalyticsGoogle Flu TrendsInternational HealthSearch Trends	2019	122

Page 1