Performance of existing and novel surveillance case definitions for COVID-19 in household contacts of PCR-confirmed COVID-19
Year: 2021
Type: article
Study design: Observational Study
Abstract: Background Optimized symptom-based COVID-19 case definitions that guide public health surveillance and individual patient management in the community may assist pandemic control. Methods We assessed diagnostic performance of existing cases definitions (e.g. influenza-like illness, COVID-like illness) using symptoms reported from 185 household contacts to a PCR-confirmed case of COVID-19 in Wisconsin and Utah, United States. We stratified analyses between adults and children. We also constructed novel case definitions for comparison. Results Existing COVID-19 case definitions generally showed high sensitivity (86–96%) but low positive predictive value (PPV) (36–49%; F-1 score 52–63) in this community cohort. Top performing novel symptom combinations included taste or smell dysfunction and improved the balance of sensitivity and PPV (F-1 score 78–80). Performance indicators were generally lower for children (< 18 years of age). Conclusions Existing COVID-19 case definitions appropriately screened in household contacts with COVID-19. Novel symptom combinations incorporating taste or smell dysfunction as a primary component improved accuracy. Case definitions tailored for children versus adults should be further explored.
Source: BMC Public Health
Authors: Hannah E. Reses, Mark Fajans, Scott H. Lee, Charles M. Heilig, Victoria T. Chu, Natalie J. Thornburg, Kim Christensen, Sanjib Bhattacharyya, Alicia Fry, Aron J. Hall, Jacqueline E. Tate, Hannah L. Kirking, Scott A. Nabity, The U.S. COVID-19 Household Investigation Team, Michelle Banks, Katherine A. Battey, Alison M. Binder, Sean Buono, Rebecca J. Chancey, Ann Christiansen, Erin E. Conners, Trivikram Dasu, Patrick Dawson, Elizabeth Dietrich, Lindsey M. Duca, Angela C. Dunn, Victoria L. Fields, Garrett Fox, Brandi D. Freeman, Radhika Gharpure, Christopher Gregory, Tair Kiphibane, Rebecca L. Laws, Sandra Lester, Nathaniel M. Lewis, Perrine Marcenac, Almea M. Matanock, Lisa Mills, Henry Njuguna, Michelle O’Hegarty, Daniel Owusu, Lindsey Page, Lucia Pawloski, Eric Pevzner, Mary Pomeroy, Ian W. Pray, Elizabeth M. Rabold, Jared R. Rispens, Phillip Salvatore, Amy Schumacher, Cuc H. Tran, Jeni Vuong, Ashutosh Wadhwa, Ryan P. Westergaard, Sarah Willardson, Dongni Ye, Sherry Yin, Anna Yousaf
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,570
Awards: G4806423600, G563662939
OpenAlex ID: W3203963903
