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Tracking the burden, distribution, and impact of Post-COVID conditions in diverse populations for children, adolescents, and adults (Track PCC): passive and active surveillance protocols

  • Resa M. Jones,
  • Jennifer G. Andrews,
  • Alexandra F. Dalton,
  • Brian E. Dixon,
  • Bari J. Dzomba,
  • Shane I. Fernando,
  • Kristen M. Pogreba-Brown,
  • Miguel Reina Ortiz,
  • Vinita Sharma,
  • Nicole Simmons,
  • Sharon H. Saydah,
  • Joshua Slen,
  • Lillian Smith,
  • Joanna McComack,
  • Mac McCullough,
  • Brian Young,
  • Megha Khatri Arora,
  • Rebekah Epstein,
  • Ralph Figueroa,
  • Terry Mahotiere,
  • Kathryn Miller,
  • Lori Barrett,
  • McKenna Dahlquist,
  • Dolores Busch,
  • Tracy Edinger,
  • Pablo Garcia,
  • Richard Gibson,
  • Sara Hallvik,
  • Emily Sim,
  • Christian Flessner,
  • Navina Forsythe,
  • Maria Johnson,
  • Ryan McLelland,
  • Joseph Sorenson,
  • Fatima Ayllon,
  • Marina Oktapodas Feiler,
  • Matthew Fukuhara,
  • Aaron Mishkin,
  • Thanh T. D. Phan,
  • Mehdi Rajaeebaygi,
  • Radhika Sinha,
  • John Turella,
  • Weiting Wang,
  • Lucie Wiedefeld,
  • Recai Yucel,
  • Susan Robinson,
  • Argelia Benavides,
  • Kate Bessey,
  • Shane Brady,
  • Collin Catalfamo,
  • Dametreea Carr,
  • Clancey Collins,
  • Felina Cordova-Marks,
  • Kacey Ernst,
  • Leslie Farland,
  • Pamela Gracia-Filion,
  • Scott Frost,
  • Kelly Heslin,
  • Elizabeth Jacobs,
  • Priscilla Lauro,
  • Velia Nuno,
  • Sydney Pettygrove,
  • Vern Pilling,
  • Susan Robinson,
  • Alexandra Shilen,
  • Vignesh Subbian,
  • Shaun Grannis,
  • Katie Allen,
  • Lauren Buelow,
  • Aaron Buck,
  • Tom Duszynski,
  • William Fadel,
  • Zamal Franks,
  • Ashley Griffith,
  • Laura J. Myers,
  • John Price,
  • Ashley Wiensch,
  • Hiping Xu,
  • Abe Agedew,
  • Deja Edwards,
  • Emily Koumas,
  • Douglas Slaughter,
  • Elizabeth Sullivan,
  • Tracy Wyche,
  • Jason Brinkley,
  • Tana Brummer,
  • Sameer Desale,
  • Rebecca Devlin,
  • Charles Harpole,
  • Danielle Rentz Hunt,
  • Zuha Jeddy,
  • Brandon Poe,
  • Steve Pickett,
  • Erica Sewell,
  • Brian Sokol,
  • Karen Stein,
  • Joseph Thomas

摘要

Background

Track PCC includes five geographic surveillance sites to conduct standardized population-based surveillance to estimate and track Post-COVID Conditions (PCC) by age, sex, race/ethnicity, geographic area, severity of initial infection, and risk factors among persons with evidence of SARS-CoV-2 infection (based on the Council of State and Territorial Epidemiologist [CSTE] case definitions for confirmed cases or laboratory-confirmed evidence of infection).

Methods

The study will estimate the incidence, prevalence, including temporal trends, and duration and severity of PCC symptoms, among children, adolescents, and adults. PCCs include a broad range of symptoms and conditions that continue or develop after acute SARS-CoV-2 infection or COVID-19 illness. Surveillance includes both passive and active components for diverse populations in Arizona, Indiana, and Utah as well as the Bronx Borough, NY, and part of Philadelphia County, PA. Passive surveillance will utilize electronic health records and health information exchanges within each site catchment area to longitudinally follow persons with COVID-19 to estimate PCC occurring at least 30 days after acute COVID-19 illness. Active surveillance will utilize self-report of PCCs from detailed surveys of persons ages 7 years and older with evidence of SARS-CoV-2 infection in the past 3 months. Respondents will complete follow-up surveys at 6-, 12- and 18-months post-infection.

Discussion

These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients.