Evidence map›Paper›PMID 35152785›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Campus Reset: Dynamic Planning and Response to SARS-CoV-2 Infections at the US Air Force Academy.

John C Sitko, Erin A Almand, Christopher A Cullenbine, J Jordan Steel, Joseph W Rohrer, Douglas P Wickert, Steven C M Hasstedt

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

John C SitkoDepartment of Biology, US Air Force Academy, Colorado Springs, CO, USA.
Erin A AlmandDepartment of Biology, US Air Force Academy, Colorado Springs, CO, USA.ORCID 0000-0002-5034-9652
Christopher A CullenbineDepartment of Mathematical Sciences, US Air Force Academy, Colorado Springs, CO, USA.
J Jordan SteelDepartment of Biology, US Air Force Academy, Colorado Springs, CO, USA.
Joseph W RohrerDepartment of Biology, US Air Force Academy, Colorado Springs, CO, USA.
Douglas P WickertDepartment of Aeronautical Engineering, US Air Force Academy, Colorado Springs, CO, USA.
Steven C M HasstedtDepartment of Biology, US Air Force Academy, Colorado Springs, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predominantly asymptomatic infections, such as those for SARS-CoV-2, require robust surveillance testing to identify people who are unknowingly spreading the virus. The US Air Force Academy returned to in-person classes for more than 4000 cadets aged 18-26 years during the fall 2020 semester to meet graduation and leadership training requirements. To enable this sustained cadet footprint, the institution developed a dynamic SARS-CoV-2 response plan using near-real-time data to inform decisions and trigger policies. A surveillance testing program based on mathematical modeling and a policy-driven campus reset option provided a scaled approach to react to SARS-CoV-2 conditions. This program adequately controlled the spread of the virus for the first 2 months of the academic semester but failed to predict or initially mitigate a significant outbreak in the second half of the semester. Although this approach did not completely eliminate SARS-CoV-2 infections in the population, it served as an early warning system to alert public health authorities to potential issues, which allowed timely responses while containment was still possible.

Indexed as

COVID-19Disease OutbreaksHumansPublic HealthSARS-CoV-2infectious diseasepandemic responseplanningpublic healthSARS-CoV-2

Identifiers

PMID35152785
PMCPMC9109537

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.