Evidence map›Paper›PMID 37162793›Full record

ArticleCase studies on transport policy2023

Impact of COVID-19 epidemic on port operations: Evidence from Asian ports.

Yimiao Gu, Yingsi Chen, Xinbo Wang, Zhenxi Chen

Abstract read
In one paragraph

Article in Case studies on transport policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yimiao GuDepartment of Electronic Business, South China University of Technology, Guangzhou, China.
Yingsi ChenDepartment of Electronic Business, South China University of Technology, Guangzhou, China.
Xinbo WangCosco Shipping Technology Company Limited, Shanghai, China.
Zhenxi ChenSchool of Economics and Finance, South China University of Technology, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of COVID-19 has impacted the shipping industry while the extent of the impact is still not fully understood. To quantitatively investigate the relationship between pandemic-related factors and port operations, a panel regression analysis is conducted using data from three important Asian ports, Shenzhen, Hong Kong, and Singapore. Daily data from the Automatic Identification System (AIS), Oxford COVID-19 Government Response Tracker (OxCGRT) database, and port authorities from January 2020 to December 2021 are utilized. Local newly confirmed cases of ports tend to negatively impact cargo throughput, while worldwide newly confirmed cases outside of ports tend to positively impact cargo throughput. Overall, the policy implications are that ports with better control of COVID-19 reap the benefits of more cargo throughput. In addition, countermeasures against COVID-19 and other epidemics should be designed deliberately to minimize the side-effect on port operations and maritime transportation.

Indexed as

AISAsian PortsBig DataCOVID-19Port Management

Identifiers

PMID37162793
PMCPMC10158167

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.