{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T00:02:47Z","timestamp":1793145767123,"version":"4.5.0"},"reference-count":10,"publisher":"Centers for Disease Control and Prevention (CDC)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Emerg. Infect. Dis."],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.3201\/eid3009.240026","type":"journal-article","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T13:25:13Z","timestamp":1724419513000},"source":"Crossref","is-referenced-by-count":11,"title":["Optimizing Disease Outbreak Forecast Ensembles"],"prefix":"10.3201","volume":"30","author":[{"given":"Spencer J.","family":"Fox","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minsu","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lauren Ancel","family":"Meyers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicholas G.","family":"Reich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evan L.","family":"Ray","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1822","reference":[{"key":"key-10.3201\/eid3009.240026-202408141214-R1","doi-asserted-by":"publisher","first-page":"839","DOI":"10.2105\/AJPH.2022.306831","article-title":"Collaborative hubs: making the most of predictive epidemic modeling.","volume":"112","author":"Reich","year":"2022","journal-title":"Am J Public Health"},{"key":"key-10.3201\/eid3009.240026-202408141214-R2","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1186\/s12879-016-1669-x","article-title":"Results from the centers for disease control and prevention\u2019s predict the 2013-2014 Influenza Season Challenge.","volume":"16","author":"Biggerstaff","year":"2016","journal-title":"BMC Infect Dis"},{"key":"key-10.3201\/eid3009.240026-202408141214-R3","doi-asserted-by":"publisher","first-page":"e2113561119","DOI":"10.1073\/pnas.2113561119","article-title":"Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States.","volume":"119","author":"Cramer","year":"2022","journal-title":"Proc Natl Acad Sci U S A"},{"key":"key-10.3201\/eid3009.240026-202408141214-R4","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.1186\/s12889-019-7966-8","article-title":"Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples.","volume":"19","author":"Lutz","year":"2019","journal-title":"BMC Public Health"},{"key":"key-10.3201\/eid3009.240026-202408141214-R5","doi-asserted-by":"publisher","first-page":"3146","DOI":"10.1073\/pnas.1812594116","article-title":"A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States.","volume":"116","author":"Reich","year":"2019","journal-title":"Proc Natl Acad Sci U S A"},{"key":"key-10.3201\/eid3009.240026-202408141214-R6","doi-asserted-by":"publisher","first-page":"462","DOI":"10.1038\/s41597-022-01517-w","article-title":"The United States COVID-19 forecast hub dataset.","volume":"9","author":"Cramer","year":"2022","journal-title":"Sci Data"},{"key":"key-10.3201\/eid3009.240026-202408141214-R7","unstructured":"FluSight forecast -data 2022\u20132023 [cited 2023 Jul 12]. https:\/\/github.com\/cdcepi\/Flusight-forecast-data"},{"key":"key-10.3201\/eid3009.240026-202408141214-R8","doi-asserted-by":"publisher","first-page":"1366","DOI":"10.1016\/j.ijforecast.2022.06.005","article-title":"Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States.","volume":"39","author":"Ray","year":"2023","journal-title":"Int J Forecast"},{"key":"key-10.3201\/eid3009.240026-202408141214-R9","doi-asserted-by":"publisher","first-page":"e1008618","DOI":"10.1371\/journal.pcbi.1008618","article-title":"Evaluating epidemic forecasts in an interval format.","volume":"17","author":"Bracher","year":"2021","journal-title":"PLOS Comput Biol"},{"key":"key-10.3201\/eid3009.240026-202408141214-R10","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1198\/016214506000001437","article-title":"Strictly proper scoring rules, prediction, and estimation.","volume":"102","author":"Gneiting","year":"2007","journal-title":"J Am Stat Assoc"}],"container-title":["Emerging Infectious Diseases"],"original-title":[],"link":[{"URL":"https:\/\/wwwnc.cdc.gov\/eid\/article\/30\/9\/24-0026_article","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,29]],"date-time":"2024-11-29T18:38:37Z","timestamp":1732905517000},"score":1,"resource":{"primary":{"URL":"https:\/\/wwwnc.cdc.gov\/eid\/article\/30\/9\/24-0026_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":10,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2024,9]]}},"URL":"https:\/\/doi.org\/10.3201\/eid3009.240026","relation":{},"ISSN":["1080-6040","1080-6059"],"issn-type":[{"value":"1080-6040","type":"print"},{"value":"1080-6059","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}