{"doi":"10.1017/cts.2023.37","title":"Adapting the Evidence Academy model for virtual stakeholder engagement in a national setting during the COVID-19 pandemic","abstract":"The COVID-19 pandemic raised the importance of adaptive capacity and preparedness when engaging historically marginalized populations in research and practice. The Rapid Acceleration of Diagnostics in Underserved Populations' COVID-19 Equity Evidence Academy Series (RADx-UP EA) is a virtual, national, interactive conference model designed to support and engage community-academic partnerships in a collaborative effort to improve practices that overcome disparities in SARS-CoV-2 testing and testing technologies. The RADx-UP EA promotes information sharing, critical reflection and discussion, and creation of translatable strategies for health equity. Staff and faculty from the RADx-UP Coordination and Data Collection Center developed three EA events with diverse geographic, racial, and ethnic representation of attendees from RADx-UP community-academic project teams: February 2021 (n = 319); November 2021 (n = 242); and September 2022 (n = 254). Each EA event included a data profile; 2-day, virtual event; event summary report; community dissemination product; and an evaluation strategy. Operational and translational delivery processes were iteratively adapted for each EA across one or more of five adaptive capacity domains: assets, knowledge and learning, social organization, flexibility, and innovation. The RADx-UP EA model can be generalized beyond RADx-UP and tailored by community and academic input to respond to local or national health emergencies.","journal":"Journal of Clinical and Translational Science","year":2023,"id":403852,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9561,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1181432,"name":"Renee Leverty","orcid":"0000-0002-5883-8290","position":1,"is_corresponding":false},{"id":1181433,"name":"Alicia Bilheimer","orcid":"0009-0006-1758-3902","position":2,"is_corresponding":false},{"id":1181806,"name":"Lindsay Bailey","orcid":null,"position":3,"is_corresponding":false},{"id":1181807,"name":"Bukola Adeshina","orcid":null,"position":4,"is_corresponding":false},{"id":1181434,"name":"Prabisha Shrestha","orcid":"0000-0002-3479-4780","position":5,"is_corresponding":false},{"id":1181808,"name":"Zhitong Yu","orcid":null,"position":6,"is_corresponding":false},{"id":402439,"name":"Gaurav Dave","orcid":"0000-0003-0825-1595","position":7,"is_corresponding":false},{"id":333631,"name":"Michael Cohen‐Wolkowiez","orcid":"0000-0002-2458-2266","position":8,"is_corresponding":false},{"id":85421,"name":"Warren A. Kibbe","orcid":"0000-0001-5622-7659","position":9,"is_corresponding":false},{"id":411567,"name":"Giselle Corbie‐Smith","orcid":"0000-0003-0737-6775","position":10,"is_corresponding":false},{"id":531581,"name":"Lori Carter‐Edwards","orcid":"0000-0002-5552-136X","position":0,"is_corresponding":true}],"reference_count":24,"raw_metadata":null,"created_at":"2026-07-19T01:20:40.264741Z","pmid":"37250998","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}