Evidence map›Paper›PMID 35857906›Full record

ArticleJournal of the Royal Society, Interface2022

Characterizing outbreak vulnerability in a stochastic

Garrett T Nieddu, Eric Forgoston, Lora Billings

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 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

3 authors.

Garrett T NiedduQuantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Rahway, NJ 07065, USA.ORCID 0000-0003-0407-3795
Eric ForgostonDepartment of Applied Mathematics and Statistics, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043, USA.ORCID 0000-0003-0694-9981
Lora BillingsDepartment of Applied Mathematics and Statistics, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this article, we take a mathematical approach to the study of population-level disease spread, performing a quantitative and qualitative investigation of an

Indexed as

Communicable DiseasesEpidemiological ModelsDisease OutbreaksDisease ReservoirsDisease SusceptibilityHumansModels, BiologicalStochastic Processesdisease dynamicsoutbreakreservoirstochastic modellingzoonosis

Identifiers

PMID35857906
PMCPMC9257592

What OpenQuestion holds

Textmetadata
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.