Evidence map›Paper›PMID 35333362›Full record

ArticleJAMA network open2022

Estimated COVID-19 Cases and Hospitalizations Averted by Case Investigation and Contact Tracing in the US.

Gabriel Rainisch, Seonghye Jeon, Danielle Pappas, Kimberly D Spencer, Leah S Fischer, Bishwa B Adhikari, Melanie M Taylor, Bradford Greening, Patrick K Moonan, John E Oeltmann and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  18. Isolation and Quarantine for Coronavirus Disease 2019 in the United States, 2020-2022.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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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

13 authors.

Gabriel RainischCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Seonghye JeonCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Danielle PappasEpidemiology and Laboratory Capacity Program, Centers for Disease Control and Prevention, Atlanta, Georgia.
Kimberly D SpencerEpidemiology and Laboratory Capacity Program, Centers for Disease Control and Prevention, Atlanta, Georgia.
Leah S FischerCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Bishwa B AdhikariCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Melanie M TaylorCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Bradford GreeningCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Patrick K MoonanCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
John E OeltmannCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Emily B KahnCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Michael L WashingtonCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.
Martin I MeltzerCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Evidence of the impact of COVID-19 case investigation and contact tracing (CICT) programs is lacking, but policy makers need this evidence to assess the value of such programs. Objective: To estimate COVID-19 cases and hospitalizations averted nationwide by US states' CICT programs. Design, Setting, and Participants: This decision analytical model study used combined data from US CICT programs (eg, proportion of cases interviewed, contacts notified or monitored, and days to case and contact notification) with incidence data to model outcomes of CICT over a 60-day period (November 25, 2020, to January 23, 2021). The study estimated a range of outcomes by varying assumed compliance with isolation and quarantine recommendations. Fifty-nine state and territorial health departments that received federal funding supporting COVID-19 pandemic response activities were eligible for inclusion. Data analysis was performed from July to September 2021. Exposure: Public health case investigation and contact tracing. Main Outcomes and Measures: The primary outcomes were numbers of cases and hospitalizations averted and the percentage of cases averted among cases not prevented by vaccination and other nonpharmaceutical interventions. Results: In total, 22 states and 1 territory reported all measures necessary for the analysis. These 23 jurisdictions covered 42.5% of the US population (approximately 140 million persons), spanned all 4 US Census regions, and reported data that reflected all 59 federally funded CICT programs. This study estimated that 1.11 million cases and 27 231 hospitalizations were averted by CICT programs under a scenario where 80% of interviewed cases and monitored contacts and 30% of notified contacts fully complied with isolation and quarantine guidance, eliminating their contributions to future transmission. As many as 1.36 million cases and 33 527 hospitalizations could have been prevented if all interviewed cases and monitored contacts had entered into and fully complied with isolation and quarantine guidelines upon being interviewed or notified. Across both scenarios and all jurisdictions, CICT averted an estimated median of 21.2% (range, 1.3%-65.8%) of the cases not prevented by vaccination and other nonpharmaceutical interventions. Conclusions and Relevance: These findings suggest that CICT programs likely had a substantial role in curtailing the pandemic in most jurisdictions during the 2020 to 2021 winter peak. Differences in outcomes across jurisdictions indicate an opportunity to further improve CICT effectiveness. These estimates demonstrate the potential benefits from sustaining and improving these programs.

Indexed as

COVID-19Influenza, HumanContact TracingHospitalizationHumansPandemics

Identifiers

PMID35333362
PMCPMC8956978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.