Skip to main navigation Skip to search Skip to main content

Evaluation of COVID-19 and Influenza-like Illness Surveillance Case Definitions in a Prospective Cohort of Healthcare Personnel in Peru

  • Denisse Vega Ocasio
  • , Neha N. Patel
  • , Eva Leidman
  • , Perrine Marcenac
  • , Joseph Daniel Carreon
  • , Chelsea Iwamoto
  • , Giselle M. Soto
  • , Matthew Westercamp
  • , Susan Bollinger
  • , Candice Romero
  • , Maria Silva
  • , Michael Prouty
  • , Fernanda C. Lessa
  • , Joan Neyra
  • , Diana Ponce
  • , Roger Castillo
  • , Alejandro Llanos-Cuentas
  • , Eduardo Matos
  • , Rachel M. Smith
  • , Ashley Fowlkes
  • National Center for Immunization and Respiratory Diseases
  • NAMRID-Unit 3800
  • Centers for Disease Control and Prevention
  • NAMRU SOUTH
  • Hospital Nacional Cayetano Heredia
  • Arzobispo Loayza Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Background Public health agencies employ case definitions for influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections to optimize surveillance, monitor disease trends, and inform decision-making, particularly in limited resource settings. Methods Using a prospective healthcare personnel cohort in two hospitals in Lima, Peru (July 2022–June 2023), we compared and evaluated the performance of three symptom profiles of three common surveillance case definitions to identify influenza and SARS-CoV-2 infections: influenza-like illness, coronavirus disease 2019–like illness (CLI), and acute respiratory infection. Participants with an acute respiratory illness reported symptom progression twice weekly. Participants self-collected nasal swabs for SARS-CoV-2 and influenza reverse transcription real-time polymerase chain reaction testing. Sensitivity, specificity, and positive and negative predictive values of each case definition were evaluated. Results Of 1623 participants enrolled, 1450 illness episodes were reported; 92 (6%) were positive for influenza, 350 (24%) for SARS-CoV-2, and 3 (0.2%) were positive for both. For the four influenza-like illness case definitions evaluated, all yielded low sensitivity for detection of influenza (points estimate range, 23%–35%) and SARS-COV-2 (range, 21%–29%), but high specificity (83%–90% and 86%–92%, respectively). In contrast, the acute respiratory infection and coronavirus disease 2019–like illness definitions both yielded high sensitivity (83%–100%) and low specificity (2%–41%) for detection of both influenza and SARS-CoV-2. Conclusions The performance of case definitions was similar for influenza and SARS-CoV-2 supporting the use of the same definitions by surveillance networks. The substantial differences in sensitivity and specificity across the case definitions necessitate surveillance objectives and cost considerations in selecting a case definition fit for purpose.

Original languageEnglish
Pages (from-to)459-466
Number of pages8
JournalClinical Infectious Diseases
Volume81
Issue number3
DOIs
StatePublished - 15 Sep 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • case definitions
  • influenza
  • surveillance

Fingerprint

Dive into the research topics of 'Evaluation of COVID-19 and Influenza-like Illness Surveillance Case Definitions in a Prospective Cohort of Healthcare Personnel in Peru'. Together they form a unique fingerprint.

Cite this