{"doi":"10.1093/aje/kwae393","title":"School-level data on COVID-19 cases, quarantines, and student absenteeism during the COVID-19 pandemic: understanding missingness","abstract":"Availability of school-based infectious disease surveillance data (eg, COVID-19 cases, student absences) based on experiences during the COVID-19 pandemic were studied using a national sample of public kindergarten through 12th grade schools (n = 1602). Based on surveys administered to school administrators throughout the 2021-2022 school year, we found high levels of missingness data for school-level COVID-19 cases, quarantines, and student absenteeism, increasing missingness over time, and variations in missingness by school characteristics (eg, school size) and protocols (eg, having a school-based system to report at-home COVID-19 tests). For the same sample of schools, using data requests to health departments, we found similarly high levels of missingness of school-level COVID-19 case data and varying approaches in data collection. Developing nationally standardized case definitions-and systems to surveil or collect and monitor school-based infectious disease outcomes early in a public health emergency-may be helpful in producing actionable data.","journal":"American Journal of Epidemiology","year":2024,"id":504500,"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":0.6759,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":756378,"name":"Zach Timpe","orcid":"0000-0001-9124-557X","position":1,"is_corresponding":false},{"id":374854,"name":"Catherine N. Rasberry","orcid":"0000-0001-8256-6961","position":2,"is_corresponding":false},{"id":268911,"name":"Lance A. Waller","orcid":"0000-0001-5002-8886","position":3,"is_corresponding":false},{"id":340413,"name":"Benjamin A. Lopman","orcid":"0000-0002-9238-0068","position":4,"is_corresponding":false},{"id":287735,"name":"Elizabeth A. Stuart","orcid":"0000-0002-9042-8611","position":5,"is_corresponding":false},{"id":274941,"name":"Jodie L. Guest","orcid":"0000-0002-3650-3975","position":6,"is_corresponding":false},{"id":310540,"name":"Lisa C. Barrios","orcid":"0000-0001-8135-959X","position":7,"is_corresponding":false},{"id":274940,"name":"Jeb Jones","orcid":"0000-0001-9165-1658","position":8,"is_corresponding":false},{"id":310950,"name":"Sanjana Pampati","orcid":"0000-0003-2202-1884","position":0,"is_corresponding":true}],"reference_count":23,"raw_metadata":null,"created_at":"2026-07-19T02:10:39.578471Z","pmid":"39380142","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":[]}