Evidence map›Paper›PMID 37937979›Full record

ArticlemBio2023

Seasonality of endemic COVID-19.

Jeffrey P Townsend, Hayley B Hassler, April D Lamb, Pratha Sah, Aia Alvarez Nishio, Cameron Nguyen, Alexandra D Tew, Alison P Galvani, Alex Dornburg

Abstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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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

9 authors.

Jeffrey P TownsendDepartment of Biostatistics, Yale School of Public Health, New Haven, USA.ORCID 0000-0002-9890-3907
Hayley B HasslerDepartment of Biostatistics, Yale School of Public Health, New Haven, USA.
April D LambDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA.
Pratha SahCenter for Infectious Disease Modeling and Analysis, Yale University, New Haven, USA.
Aia Alvarez NishioYale College, New Haven, USA.
Cameron NguyenDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA.
Alexandra D TewDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA.
Alison P GalvaniCenter for Infectious Disease Modeling and Analysis, Yale University, New Haven, USA.
Alex DornburgDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, USA.

Funding

National Science Foundation (NSF) 1918784National Science Foundation (NSF) 2031204National Science Foundation (NSF) 2031204, 1918784UNC | University of North Carolina at Charlotte (UNC Charlotte)
6 · The paper itself

Abstract

importanceThe seasonality of COVID-19 is important for effective healthcare and public health decision-making. Previous waves of SARS-CoV-2 infections have indicated that the virus will likely persist as an endemic pathogen with distinct surges. However, the timing and patterns of potentially seasonal surges remain uncertain, rendering effective public health policies uninformed and in danger of poorly anticipating opportunities for intervention, such as well-timed booster vaccination drives. Applying an evolutionary approach to long-term data on closely related circulating coronaviruses, our research provides projections of seasonal surges that should be expected at major temperate population centers. These projections enable local public health efforts that are tailored to expected surges at specific locales or regions. This knowledge is crucial for enhancing medical preparedness and facilitating the implementation of targeted public health interventions.

Indexed as

COVID-19SARS-CoV-2SeasonsEndemic DiseasesHumansPublic HealthCOVID-19evolutionSARS-CoV-2seasonality

Identifiers

PMID37937979
PMCPMC10746271

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.