Infectious disease prediction with kernel conditional density estimation

Author:

Ray Evan L.12ORCID,Sakrejda Krzysztof1,Lauer Stephen A.1,Johansson Michael A.3,Reich Nicholas G.1

Affiliation:

1. Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences; University of Massachusetts; Amherst MA 01003 USA

2. Department of Mathematics and Statistics; Mount Holyoke College; South Hadley MA 01075 USA

3. Dengue Branch, Division of Vector-Borne Infectious Diseases; Centers for Disease Control and Prevention; San Juan PR 00920 USA

Funder

National Institute of Allergy and Infectious Diseases at the National Institutes of Health

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference61 articles.

1. Improving Decision Support for Infectious Disease Prevention and Control: Aligning Models and Other Tools with Policymakers' Needs

2. Public health interventions and epidemic intensity during the 1918 influenza pandemic;Hatchett;Proc National Acad Sci,2007

3. Pandemic Prediction and Forecasting Science and Technology Interagency Working Group. Dengue Forecasting http://dengueforecasting.noaa.gov/ 2015

4. Epidemic Prediction Initiative. FluSight: Seasonal Influenza Forecasting http://dengueforecasting.noaa.gov/ 2016

5. Results from the centers for disease control and preventions predict the 2013-2014 influenza season challenge;Biggerstaff;BMC Infectious Diseases,2016

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