Evidence map›Paper›PMID 35845317›Full record

ArticleTransportation research. Part A, Policy and practice2022

Urban mobility patterns and the spatial distribution of infections in Santiago de Chile.

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

Open access · greenAbstract read
In one paragraph

Article in Transportation research. Part A, Policy and practice, 2022. 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
0.5field-weighted citation impact, top 41% 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, 4 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

4 authors at 1 institution in 1 country.

Felipe Bedoya-MayaInter-American Development Bank, Washington, D.C. 20577, Unites States.
Agustina CalatayudInter-American Development Bank, Washington, D.C. 20577, Unites States.
Francisca GiraldezInter-American Development Bank, Washington, D.C. 20577, Unites States.
Santiago Sánchez GonzálezInter-American Development Bank, Washington, D.C. 20577, Unites States.
Inter-American Development Bank · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of a virus spread is inherently spatial. Even though Latin America became the epicenter of the COVID-19 pandemic in May 2020, there is still little evidence of the relationship between urban mobility and virus propagation in the region. This paper combines network analysis of mobility patterns in public transportation with a spatial error correction model for Santiago de Chile. Results indicate that a 10% higher number of daily public transportation trips received by an administrative unit in the city was associated with a 1.3% higher number of confirmed COVID-19 cases per 100,000 inhabitants. Following these findings, we propose an empirical method to identify and classify neighborhoods according to the level and type of risk for COVID-19-like disease propagation, helping policymakers manage mobility during the initial stages of an epidemic outbreak.

Indexed as

COVID-19Latin AmericaMobility patternsPublic transportSpatial modeling

Identifiers

PMID35845317
PMCPMC9270950
OpenAlexW4284992114

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.