Evidence map›Paper›PMID 39570787›Full record

ArticleMMWR. Morbidity and mortality weekly report2024

Detection of Real-Time Changes in Direction of COVID-19 Transmission Using National- and State-Level Epidemic Trends Based on R

Danielle M Richard, Zachary Susswein, Sarah Connolly, Adán Myers Y Gutiérrez, Roselyn Thalathara, Kelly Carey, Emily H Koumans, Diba Khan, Nina B Masters, Nathan McIntosh and 7 more

Abstract read
In one paragraph

Article in MMWR. Morbidity and mortality weekly report, 2024. 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

17 authors.

Danielle M Richard
Zachary Susswein
Sarah Connolly
Adán Myers Y Gutiérrez
Roselyn Thalathara
Kelly Carey
Emily H Koumans
Diba Khan
Nina B Masters
Nathan McIntosh
Patrick Corbett
Isaac Ghinai
Rebecca Kahn
Adrienne Keen
Juliet Pulliam
Daniel Sosin
Katelyn Gostic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public health practitioners rely on timely surveillance data for planning and decision-making; however, surveillance data are often subject to delays. Epidemic trend categories, based on time-varying effective reproductive number (R

Indexed as

COVID-19Basic Reproduction NumberEmergency Service, HospitalEpidemicsHumansNew MexicoPopulation SurveillanceTime FactorsUnited States

Identifiers

PMID39570787
PMCPMC11581206

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.