Additional file 1 of Evaluation of the 2022 West Nile virus forecasting challenge, USA
| Title: | Additional file 1 of Evaluation of the 2022 West Nile virus forecasting challenge, USA |
|---|---|
| Authors: | Ryan D. Harp; Karen M. Holcomb; Renata Retkute; Alisa Prusokiene; Augustinas Prusokas; Zeynep Ertem; Marco Ajelli; Allisandra G. Kummer; Maria Litvinova; Stefano Merler; Ana Pastore y Piontti; Piero Poletti; Alessandro Vespignani; Andre B. B. Wilke; Agnese Zardini; Kelly Helm Smith; Philip Armstrong; Nicholas DeFelice; Alexander Keyel; John Shepard; Rebecca Smith; Andrew Tyre; John Humphreys; Lee W. Cohnstaedt; Saman Hosseini; Caterina Scoglio; Morgan E. Gorris; Martha Barnard; S. Kane Moser; Julie A. Spencer; Maggie S. J. McCarter; Christopher Lee; Melissa S. Nolan; Christopher M. Barker; J. Erin Staples; Randall J. Nett; Michael A. Johansson |
| Publication Year: | 2025 |
| Subject Terms: | Medicine; Neuroscience; Ecology; Infectious Diseases; Computational Biology; Biological Sciences not elsewhere classified; West Nile virus; West Nile virus neuroinvasive disease; Forecasting; Vector-borne disease; Ensemble; Weighted interval scoring; Logarithmic scoring; Multi-model assessment |
| Description: | Additional file 1. Supplementary Information for Evaluation of the 2022 West Nile Virus Forecasting Challenge. Appendix. Text S1: Participating Team Modeling Approaches. Text S2: Calculating Logarithmic Scores from Quantile Forecasts. Text S3: P-value Determination via Bootstrapping. Text S4: Model Covariate Factor Analysis. Table S1: Frameworks and Covariates Used in Model Development. Text S5: County-Specific Contextual Factor Analysis. Figure S1: Model-Specific Forecast Skill by Submission Month. Table S2: High-Caseload Counties. Table S3: Mean Model Scores for High Caseload and Counties with/without Historical Cases. Figure S2: Comparison of Mean Model Scores for High-Caseload Counties. Figure S3: Comparison of Mean Model Scores for Counties with Historical WNND Cases. Figure S4: Comparison of Mean Model Scores for Counties without Historical Caseload. Table S4: All County Mean Model Scores with Logarithmic Scoring. Figure S5: Comparison of Mean Model Scores for All Counties with Logarithmic Scoring. Figure S6: Influence of Place-Based Contextual Factors on Ensemble Forecast Skill. |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| Relation: | https://figshare.com/articles/journal_contribution/Additional_file_1_of_Evaluation_of_the_2022_West_Nile_virus_forecasting_challenge_USA/28853748 |
| DOI: | 10.6084/m9.figshare.28853748.v1 |
| Availability: | https://doi.org/10.6084/m9.figshare.28853748.v1; https://figshare.com/articles/journal_contribution/Additional_file_1_of_Evaluation_of_the_2022_West_Nile_virus_forecasting_challenge_USA/28853748 |
| Rights: | CC BY + CC0 |
| Accession Number: | edsbas.AD9DB030 |
| Database: | BASE |