Evidence map›Paper›PMID 39210333›Full record

ArticleBMC public health2024

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 and 2 more

Abstract read
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In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Resa M JonesDepartment of Epidemiology and Biostatistics, College of Public Health, Temple University, 1301 Cecil B. Moore Ave., Ritter Annex, 9th Floor, Rm 917, Philadelphia, PA, 19122, USA. resa.jones@temple.edu.
Jennifer G AndrewsDepartment of Pediatrics, University of Arizona, Tucson, AZ, USA.
Alexandra F DaltonCenters for Disease Control and Prevention, Atlanta, GA, USA.
Brian E DixonDepartment of Health Policy & Management, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Bari J DzombaDepartment of Health Services Administration and Policy, College of Public Health, Temple University, Philadelphia, PA, USA.
Shane I FernandoAbt Global, Rockville, MD, USA.
Kristen M Pogreba-BrownDepartment of Epidemiology and Biostatistics, Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
Miguel Reina OrtizDepartment of Community and Global Health, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Vinita SharmaDepartment of Community and Global Health, Fairbanks School of Public Health, Indiana University, Indianapolis, IN, USA.
Nicole SimmonsAbt Global, Rockville, MD, USA.
Sharon H SaydahCenters for Disease Control and Prevention, Atlanta, GA, USA.
Track PCC Study Group

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

backgroundTrack 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).

methodsThe 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.

Indexed as

COVID-19Population SurveillanceAdolescentAdultChildChild, PreschoolCost of IllnessFemaleHumansIncidenceMalePost-Acute COVID-19 SyndromePrevalenceSARS-CoV-2United StatesYoung AdultCohort studyIncidencePost-COVID conditionsPrevalencePublic healthSurveillance

Identifiers

PMID39210333
PMCPMC11360551

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.