Evidence map›Paper›PMID 41334093›Full record

ReviewJugan geon-gang gwa jilbyeong2025

[Travel Medicine Clinic Network for the Prevention and Early Detection of Imported Infectious Diseases].

Hong Sang Oh

Abstract readEnglish AbstractReview
In one paragraph

Review in Jugan geon-gang gwa jilbyeong, 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

1 author.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: As international travel rapidly rebounds, the risk of importing various infectious agents, such as malaria, dengue fever, chikungunya, and multidrug-resistant organisms, is increasing. In this study, we introduced a Travel Medicine Clinic Network as a strategy for the prevention and early detection of imported infectious diseases, compared it with international traveler-based surveillance systems, and proposed future directions. Methods: We reviewed global surveillance networks for international travelers, such as GeoSentinel and EuroTravNet, and described the structure, data collection, and implementation of the Travel Medicine Clinic Network, which has been piloted since 2025 by the Korea Disease Control and Prevention Agency and the Korean Society of Infectious Diseases. Results: The network enabled the participating clinics to systematically collect standardized health information from returning travelers, thereby complementing the current, notifiable disease-based surveillance system. Compared with global networks, it has the potential to serve as a regional data collection hub in the Asia-Pacific region, where current global networks have limited coverage. Conclusions: The network supplements existing surveillance by capturing health information from returning travelers that would otherwise remain uncollected. For effective functioning as a novel surveillance platform, sustainable operations and institutional integration are required.

Indexed as

Communicable diseases, importedPublic health surveillanceTravel medicineTravel-related illness

Identifiers

PMID41334093
PMCPMC12479904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.