Evidence map›Paper›PMID 42901511›Full record

ArticleJournal of the Royal Society, Interface2026

Delayed introduction, transmission variation and susceptible dynamics explain spatial asynchrony during Republic of Korea's large pertussis outbreak.

Sang Woo Park

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2026. 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

1 author.

Sang Woo ParkSchool of Biological Sciences, Seoul National University , Seoul, Republic of Korea.ORCID 0000-0003-2202-3361

Funding

Global-LAMP Program of the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education RS-2023-00301976New Faculty Startup Fund from Seoul National University
6 · The paper itself

Abstract

Infectious disease outbreaks typically exhibit a large-scale spatial synchrony, reflecting coupling through shared environmental forcing and human mobility. Exceptions to this theoretical expectation have been reported, but the conditions under which synchrony breaks down remain poorly understood. Republic of Korea's 2024-2025 pertussis outbreak provides a striking example, during which epidemic trajectories diverged substantially throughout the country: notably, the decline in spatial synchrony with distance was more pronounced than that reported in many previous outbreaks. Integrating high-resolution surveillance data from 252 municipalities and a Bayesian transmission model, we show that heterogeneity in introduction timing and differences in local transmission levels, which may reflect differences in either contact patterns or susceptibility, can drive such fine-scale asynchrony even when all locations share identical seasonal forcing for transmission rates. In particular, regional variation in baseline transmission levels can drive differential levels of susceptible depletion, thus shaping the potential for multiple epidemic waves. This analysis offers a unique perspective on spatio-temporal epidemic dynamics that depart from classical epidemic theory.

Indexed as

Disease OutbreaksModels, BiologicalWhooping CoughBayes TheoremHumansRepublic of KoreaBayesian inferenceepidemiologyinfectious disease dynamicsmathematical modelpertussisspatial synchrony

Identifiers

PMID42901511
PMCPMC13682875

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.