Logan Brooks - Concepedia

Author

Logan Brooks

Also Known As

Brooks, Logan, Brooks, Logan C., Jitao David Zhang, L Brooks, L. Brooks, Logan Brooks, Logan C Brooks, Logan C. Brooks, Mu, Kunpeng

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

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

About

Logan Brooks is an author at Carnegie Mellon University specializing in epidemiology, predictive analytics, and forecasting.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	4	4	769
2	Engineering	3	3	278
3	Public Health	3	3	384
4	Data Science	3	3	278
5	Management	1	1	83

Logan Brooks

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
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
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Estee Y. Cramer, Evan L Ray, Velma K. Lopez, Proceedings of the National Academy of Sciences	2022	296
An open challenge to advance probabilistic forecasting for dengue epidemics Michael A. Johansson, Karyn M. Apfeldorf, Scott Dobson, Proceedings of the National Academy of Sciences	2019	231
Chikungunya outbreak in the Caribbean region, December 2013 to March 2014, and the significance for Europe Wim Van Bortel, Frédérique Dorléans, Jacques Rosine, Eurosurveillance Vector-borne PathogenVirus EpidemiologySaint MartinNeurovirologyMalaria	2014	210
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
Collaborative efforts to forecast seasonal influenza in the United States, 2015–2016 Craig McGowan, Matthew Biggerstaff, Michael A. Johansson, Scientific Reports	2019	140
Flexible Modeling of Epidemics with an Empirical Bayes Framework Logan Brooks, David Farrow, Sangwon Hyun, PLoS Computational Biology	2015	129
The United States COVID-19 Forecast Hub dataset Estee Y. Cramer, Yuxin Huang, Yijin Wang, Scientific Data	2022	119
Results from the second year of a collaborative effort to forecast influenza seasons in the United States Matthew Biggerstaff, Michael A. Johansson, David Alper, Epidemics	2018	101
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions Logan Brooks, David Farrow, Sangwon Hyun, PLoS Computational Biology Forecasting MethodologyProbabilistic ForecastingEngineeringData SciencePrediction Modelling	2018	83

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