Evidence map›Paper›PMID 35378970›Full record

ArticleJournal of statistical theory and practice2022

How do mobility restrictions and social distancing during COVID-19 affect oil price?

Asim K Dey, Kumer P Das

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of statistical theory and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh.Stochastic environmental research and risk assessment : research journal · 2025
    Article
  2. Article
  3. Review
  4. 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

2 authors.

Asim K DeyDepartment of Mathematical Sciences, University of Texas at El Paso, El Paso, TX USA.
Kumer P DasThe Office of Vice President for Research, Innovation, and Economic Development, University of Louisiana at Lafayette, Lafayette, LA USA.ORCID 0000-0002-8008-7171

Funding

Wellcome Trust 206316/Z/17/Z
6 · The paper itself

Abstract

This paper provides an analysis of the effect of the COVID-19 outbreak on the crude oil price. Using a newly developed air mobility index and Apple's driving trends index, we assess the effect of human mobility restrictions and social distancing during the COVID-19 pandemic on the crude oil price. We apply a quantile regression model, which evaluates different quantiles of the crude oil price. We also conduct an extreme value modeling, which examines the lower tail of the crude oil price distribution. We find that both the air mobility index and driving trends index significantly influence lower and upper quantiles of the WTI crude oil price. The extreme value models suggest that there is a potential risk of a negative crude oil price for a sudden extreme fall of air mobility.

Indexed as

Airline complex networkApple mobility trendsCOVID-19Extreme value theoryGranger causalityOil priceQuantile regression

Identifiers

PMID35378970
PMCPMC8967091

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.