Evidence map›Paper›PMID 36714850›Full record

ArticlePNAS nexus2022

Estimating

Grant Foster, Bret D Elderd, Robert L Richards, Tad Dallas

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Grant FosterDepartment of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA.ORCID https://orcid.org/0000-0003-1167-4425
Bret D ElderdDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID https://orcid.org/0000-0001-5853-1136
Robert L RichardsDepartment of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID https://orcid.org/0000-0003-4131-2732
Tad DallasDepartment of Biological Sciences, University of South Carolina, Columbia, SC 29208, USA.ORCID https://orcid.org/0000-0003-3328-9958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large spatial scale, geographical overlap, and similarities in transmission mode between the 1918 H1N1 influenza and 2020 SARS-CoV-2 pandemics together provide a novel opportunity to investigate relationships between transmission of two different diseases in the same location. To this end, we use initial exponential growth rates in a Bayesian hierarchical framework to estimate the basic reproductive number,

Indexed as

COVID-19infectious diseasespandemic influenzapublic health

Identifiers

PMID36714850
PMCPMC9802102

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.