Evidence map›Paper›PMID 40934220›Full record

ArticlePloS one2025

A pandemic risk index to improve supply chains decision-making between US and Mexico: A COVID-19 case study.

Billy Hernawan, Guillermo F Duran-Sierra, Enrique Zarate-Losoya, Zenon Medina-Cetina, Miriam Olivares, Maria J Perez-Patron, Matt Cochran, Gregory Pompelli

Abstract read
In one paragraph

Article in PloS one, 2025. 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

8 authors.

Billy HernawanZachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas, United States of America.ORCID 0009-0007-9372-9659
Guillermo F Duran-SierraZachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas, United States of America.
Enrique Zarate-LosoyaHarold Vance Department of Petroleum Engineering, Texas A&M University, College Station, Texas, United States of America.
Zenon Medina-CetinaZachry Department of Civil & Environmental Engineering, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0002-1132-2035
Miriam OlivaresYale Library, Yale University, New Haven, Connecticut, United States of America.
Maria J Perez-PatronCenter for Economic Studies (CES), U.S. Census Bureau, Washington, District of Columbia, United States of America.
Matt CochranCross-Border Threat Screening and Supply Chain Defense, Texas A&M University, College Station, Texas, United States of America.
Gregory PompelliCross-Border Threat Screening and Supply Chain Defense, Texas A&M University, College Station, Texas, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Social Vulnerability Index (SVI) developed by the Centers for Disease Control and Prevention (CDC), has been widely used as a benchmark to measure the state of vulnerability of counties across the United States. The SVI is integrated using a simple aggregation methodology on a set of variables reflecting the region's socioeconomic status, household characteristics, racial & ethnic minority status, and housing type/transportation. Due to its simple construction and inclusion of significant variables publicly available, the SVI has grown exponentially in popularity among organizations and government officials as a tool for decision-making, especially for resource allocation and for regional risk assessment. Furthermore, the COVID-19 pandemic brought a set of unprecedented challenges in the bi-national health between the United States and Mexico, particularly on the state of risk of supply chains. Since the North American Free Trade Agreement (NAFTA) became effective in 1994 and then renewed in 2020 as USMCA, Mexico has grown to be the biggest trading partner of the U.S., fast approaching a trade value of more than a trillion USD a year. For which conducting regional risk assessment following the SVI formulation can be a significant impact for multiple stakeholders and organizations. In this work, the formulation of the SVI is analyzed using a risk framework as a reference, to corroborate its applicability for decision-making, and to expand it to account for variables and processes impacting supply chains during the COVID-19 pandemic. This analysis shows that vulnerability is only one of three factors required to conduct risk assessment (i.e., hazards vulnerability, and consequences), needed to produce a baseline of reference to make informed decisions. A case study is also developed based on the use of the SVI during the COVID-19 pandemic for supply chains between the U.S. and Mexico, by introducing the formulation of a risk index that is compatible with the proposed risk framework. The first step to expand the SVI into a risk index for supply chains between U.S. and Mexico, was to reproduce the CDC methodology, followed by using an Empirical Cumulative Density Function (ECDF) aggregation methodology to justify it statistically, and then to illustrate its benefits and limitations when extended into a new risk index (accounting for the three required risk components). As a result, a bi-national risk index map is produced after harmonizing publicly available variables in the U.S. and Mexico, illustrating the potential to quantify the state of regional risk for supply chains and other path-dependent systems, and setting a reference to further improve it.

Indexed as

COVID-19Decision MakingPandemicsCommerceHumansMexicoRisk AssessmentSARS-CoV-2Social VulnerabilityUnited States

Identifiers

PMID40934220
PMCPMC12425231

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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.