Evidence map›Paper›PMID 36744067›Full record

ReviewHeliyon2023

Neuroeconomics of decision-making during COVID-19 pandemic.

Shahid Bashir, Ali Mir, Nouf Altwaijri, Mohammad Uzair, Amani Khalil, Rania Albesher, Roaa Khallaf, Saad Alshahrani, Turki Abualait

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heliyon, 2023. 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
–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

0 citing papers in PubMed.

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

9 authors.

Shahid BashirNeuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Ali MirNeuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Nouf AltwaijriCollege of Medicine, King Saud University, Riyadh, Saudi Arabia.
Mohammad UzairDepartment of Biological Sciences, International Islamic University, Islamabad, Pakistan.
Amani KhalilDepartment of Mental Health, Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Rania AlbesherDepartment of Mental Health, Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Roaa KhallafDepartment of Neurology, Neuroscience Center, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Saad AlshahraniDepartment of Research Operation and Administration, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
Turki AbualaitCollege of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic reveals the decision-making challenges faced by communities, governments, and international organizations, globally. Policymakers are much concerned about protecting the population from the deadly virus while lacking reliable information on the virus and its spread mechanisms and the effectiveness of possible measures and their (direct and indirect) health and socioeconomic costs. This review aims to highlight the various balanced policy decision that would combine the best obtainable scientific evidence characteristically provided by expert opinions and modeling studies. This article's main goal is to summarize the main significant progress in the understanding of neuroeconomics of decision-making and discuss the anatomy of decision making in the light of COVID-19 pandemic.

Indexed as

COVID-19NeuroeconomicsPandemicPolicy-makingPsychology

Identifiers

PMID36744067
PMCPMC9882954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.