Evidence map›Paper›PMID 34939645›Full record

ArticleMilitary medicine2023

Integration of Multiple Surveillance Systems to Track COVID-19 in the U.S. Army Population.

Julianna Kebisek, Alexis Maule, Jacob Smith, Matthew Allman, Anthony Marquez, Ashleigh McCabe, Amelie Mafotsing Fopoussi, Kelly Gibson, Ryan Steelman, Michael Superior and 1 more

Abstract read
In one paragraph

Article in Military medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Proposed approaches for public health surveillance: A literature review for the Canadian National HIV Surveillance Program.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2025
    Article
  2. Article
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

11 authors.

Julianna KebisekU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.
Alexis MauleU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.
Jacob SmithU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.
Matthew AllmanCherokee Nation Security and Defense, Tulsa, OK 74116, USA.
Anthony MarquezCherokee Nation Security and Defense, Tulsa, OK 74116, USA.
Ashleigh McCabeDefense Health Agency, Falls Church, VA 22042, USA.
Amelie Mafotsing FopoussiGeneral Dynamics Information Technology, Falls Church, VA 22042, USA.
Kelly GibsonDefense Health Agency, Falls Church, VA 22042, USA.
Ryan SteelmanU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.
Michael SuperiorU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.
John AmbroseU.S. Army Public Health Center, Aberdeen Proving Ground, MD 21010-5403, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe coronavirus disease (COVID-19) pandemic presented unique challenges for surveillance of the military population, which include active component service members and their family members. Through integrating multiple Department of Defense surveillance systems, the Army Public Health Center can provide near real-time case counts to Army leadership on a daily basis. MATERIALS AND

methodsThe incidence of COVID-19 was tracked by incorporating data from the Disease Reporting System Internet, laboratory test results, Commanders' Critical Incidence Reports, reports from the Centers for Disease Control and Prevention military liaison, and media reports. Cases were validated via a medical record review for all Army beneficiaries. Descriptive analyses were performed using Microsoft Excel and SAS 9.4 to measure demographic frequencies.

resultsIn the first year of the pandemic from February 1, 2020 to February 28, 2021, a total of 96,315 COVID-19 cases were reported to the Disease Reporting System internet, the Army's passive surveillance system, of which 95,429 (99%) were confirmed and 886 (1%) were probable. A total of 76 outbreak reports were submitted from 14 Army installations. The proportion of Army beneficiaries with severe illness was low: 2,271 (2.4%) individuals required hospitalization and 269 (0.3%) died. Installations in Texas reported the highest proportion of confirmed-not hospitalized cases (n = 19,246, 20.7%), confirmed-hospitalized cases (n = 1,037, 45.7%), and deaths (n = 137, 50.9%) as compared to other states with Army installations.

conclusionsThe pandemic has demonstrated the need for a robust public health enterprise with a focus on data collection, validation, and analysis, allowing leaders to make informed decisions that may impact the health of the Army.

Identifiers

PMID34939645
PMCPMC9383186

What OpenQuestion holds

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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.