Evidence map›Paper›PMID 35500140›Full record

ArticleJMIR public health and surveillance2022

Overlapping Delta and Omicron Outbreaks During the COVID-19 Pandemic: Dynamic Panel Data Estimates.

Alexander L Lundberg, Ramon Lorenzo-Redondo, Judd F Hultquist, Claudia A Hawkins, Egon A Ozer, Sarah B Welch, P V Vara Prasad, Chad J Achenbach, Janine I White, James F Oehmke and 3 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. COVID-19 Pandemic Risk Assessment: Systematic Review.Risk management and healthcare policy · 2024
    Review
  4. 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

13 authors.

Alexander L LundbergBuehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-9743-8441
Ramon Lorenzo-RedondoDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-5462-9483
Judd F HultquistDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-6424-4280
Claudia A HawkinsDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-7228-6317
Egon A OzerDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-7131-3691
Sarah B WelchBuehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-5609-3718
P V Vara PrasadSustainable Intensification Innovation Lab, Kansas State University, Manhattan, KS, United States.ORCID 0000-0001-6632-3361
Chad J AchenbachDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-4847-7249
Janine I WhiteBuehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-7204-477X
James F OehmkeBuehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-2003-3443
Robert L MurphyDepartment of Medicine, Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-3936-2052
Robert J HaveyRobert J Havey, MD Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-7176-058X
Lori A PostBuehler Center for Health Policy and Economics, Robert J Havey, MD Institute for Global Health, Northwestern University, Chicago, IL, United States.ORCID 0000-0002-6261-3254

Funding

Assessing the Risk of SARS-CoV-2 Remdesivir ResistanceR21AI163912 · NIAID · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HULTQUIST, JUDD F · 2021 to 2022
$440k
NIAID NIH HHS R21 AI163912
6 · The paper itself

Abstract

backgroundThe Omicron variant of SARS-CoV-2 is more transmissible than prior variants of concern (VOCs). It has caused the largest outbreaks in the pandemic, with increases in mortality and hospitalizations. Early data on the spread of Omicron were captured in countries with relatively low case counts, so it was unclear how the arrival of Omicron would impact the trajectory of the pandemic in countries already experiencing high levels of community transmission of Delta.

objectiveThe objective of this study is to quantify and explain the impact of Omicron on pandemic trajectories and how they differ between countries that were or were not in a Delta outbreak at the time Omicron occurred.

methodsWe used SARS-CoV-2 surveillance and genetic sequence data to classify countries into 2 groups: those that were in a Delta outbreak (defined by at least 10 novel daily transmissions per 100,000 population) when Omicron was first sequenced in the country and those that were not. We used trend analysis, survival curves, and dynamic panel regression models to compare outbreaks in the 2 groups over the period from November 1, 2021, to February 11, 2022. We summarized the outbreaks in terms of their peak rate of SARS-CoV-2 infections and the duration of time the outbreaks took to reach the peak rate.

resultsCountries that were already in an outbreak with predominantly Delta lineages when Omicron arrived took longer to reach their peak rate and saw greater than a twofold increase (2.04) in the average apex of the Omicron outbreak compared to countries that were not yet in an outbreak.

conclusionsThese results suggest that high community transmission of Delta at the time of the first detection of Omicron was not protective, but rather preluded larger outbreaks in those countries. Outbreak status may reflect a generally susceptible population, due to overlapping factors, including climate, policy, and individual behavior. In the absence of strong mitigation measures, arrival of a new, more transmissible variant in these countries is therefore more likely to lead to larger outbreaks. Alternately, countries with enhanced surveillance programs and incentives may be more likely to both exist in an outbreak status and detect more cases during an outbreak, resulting in a spurious relationship. Either way, these data argue against herd immunity mitigating future outbreaks with variants that have undergone significant antigenic shifts.

Indexed as

COVID-19SARS-CoV-2Disease OutbreaksHumansPandemicsPublic Health SurveillanceArellano-Bond estimatorB.1.1.529COVID-19Deltadisease transmission metricsdynamic panel dataOmicron variant of concernoutbreakSARS-CoV-2stringency indexsurveillance

Identifiers

PMID35500140
PMCPMC9169703

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.