Evidence map›Paper›PMID 33195539›Full record

ArticleFrontiers in veterinary science2020

Variable Cognition in ABM Decision-Making: An Application to Livestock Vaccine Choice.

Richard A Iles, Matthew J Sottile, Ofer Amram, Eric Lofgren, Craig S McConnel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Richard A IlesSchool of Economic Sciences, Washington State University, Pullman, WA, United States.
Matthew J SottileDepartment of Mathematics, Washington State University, Vancouver, WA, United States.
Ofer AmramPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, United States.
Eric LofgrenPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, United States.
Craig S McConnelDepartment of Veterinary Clinical Sciences, Washington State University, Pullman, WA, United States.
Washington State University · USWashington State University Spokane · USWashington State University Vancouver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling realistic human decision-making is an important feature of good policy design processes. The use of an agent-based modeling framework allows for quantitative human decision-models that assume fully rational agents. This research introduces a dynamic human decision-making sub-model. The parameterisation of human memory and "rationality" in a decision-making model represents an important extension of decision-making in ABMs. A data driven model of herd movement within a dynamic natural environment is the context for evaluating the cognitive decision-making model. The natural and human environments are linked via memory and rationality that affect herdsmen decision-making to vaccinate cattle using a once-for-life vaccine (Rift Valley fever) and an annual booster vaccine (Contagious Bovine Pleuropneumonia). The simulation model uses environmental data from Samburu county, Kenya from 2004 to 2015. The cognitive parameters of memory and "rationality" are shown to successfully differentiate between vaccination decisions that are characterized by annual and once-for-life choices. The preliminary specifications and findings from the dynamic cognition-pastoralist agent-based model (

Indexed as

agent-base modelcognitiondecision-makingKenyapastoralistvaccine

Identifiers

PMID33195539
PMCPMC7597662
OpenAlexW3092764348

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.