Evidence map›Paper›PMID 30234131›Full record

ArticleFrontiers in veterinary science2018

Decision Support for Mitigation of Livestock Disease: Rinderpest as a Case Study.

Judith R Mourant, Paul W Fenimore, Carrie A Manore, Benjamin H McMahon

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Operational Considerations in Global Health Modeling.Pathogens (Basel, Switzerland) · 2021
    Article
  3. Article
  4. Review
  5. Review
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 at 1 institution in 1 country.

Judith R MourantBioscience Division, Los Alamos National Laboratory (DOE), Los Alamos, NM, United States.
Paul W FenimoreTheoretical Division, Los Alamos National Laboratory (DOE), Los Alamos, NM, United States.
Carrie A ManoreTheoretical Division, Los Alamos National Laboratory (DOE), Los Alamos, NM, United States.
Benjamin H McMahonTheoretical Division, Los Alamos National Laboratory (DOE), Los Alamos, NM, United States.
Los Alamos National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A versatile, interactive model to predict geographically resolved epidemic progression after pathogen introduction into a population is presented. Deterministic simulations incorporating a compartmental disease model run rapidly, facilitating the analysis of mitigations such as vaccination and transmission reduction on epidemic spread and progression. We demonstrate the simulation model using rinderpest infection of cattle, a devastating livestock disease. Rinderpest has been extinguished in the wild, but it is still a threat due to stored virus in some laboratories. Comparison of simulations to historical outbreaks provides some validation of the model. Simulations of potential outbreaks demonstrate potential consequences of rinderpest virus release for a variety of possible disease parameters and mitigations. Our results indicate that a rinderpest outbreak could result in severe social and economic consequences.

Indexed as

cullingepidemicmechanistic modelmitigationrinderpestspatial modelvaccination

Identifiers

PMID30234131
PMCPMC6129599
OpenAlexW2890734781

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.