Evidence map›Paper›PMID 34744332›Full record

ArticleTransport policy2022

Containing the spatial spread of COVID-19 through the trucking network.

Agustina Calatayud, Felipe Bedoya-Maya, Santiago Sánchez González, Francisca Giraldez

Abstract read
In one paragraph

Article in Transport policy, 2022. 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
–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

5 citing papers in PubMed.

  1. The economic linkages of Covid-19 across sectors and regions in Europe.SERIEs : journal of the Spanish Economic Association · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. 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

4 authors.

Agustina CalatayudTransport Division, Inter-American Development Bank, Washington D.C, 20577, United States.
Felipe Bedoya-MayaTransport Division, Inter-American Development Bank, Washington D.C, 20577, United States.
Santiago Sánchez GonzálezTransport Division, Inter-American Development Bank, Washington D.C, 20577, United States.
Francisca GiraldezTransport Division, Inter-American Development Bank, Washington D.C, 20577, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The trucking industry is the backbone of domestic supply chains. In the context of the COVID-19 pandemic, road transportation has been essential to guarantee the supply of basic goods to confined urban areas. However, the connectivity of the trucking network can also act as an efficient virus spreader. This paper applies network science to uncover the characteristics of the trucking network in one major Latin American country -Colombia- and provides evidence on freight networks' ability to spread contagious diseases spatially. Network metrics, official COVID-19 records at the municipality level, and a zero-inflated negative binomial model are used to test the association between network topology and confirmed COVID-19 cases. Results suggest that: (i) the number of COVID-19 cases in a municipality is linked to its level and type of network centrality; and (ii) being a port-city and a primary economic hub in the trucking network is associated with a higher probability of contracting earlier a pandemic. Based on these results, a risk-based approach is proposed to help policymakers implement containment measures.

Indexed as

COVID-19Latin AmericaRisk management policiesTransport networksTrucking

Identifiers

PMID34744332
PMCPMC8558009

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.