Evidence map›Paper›PMID 42210345›Full record

ArticleMalaria journal2026

Evaluating the impact of South-North Joint Malaria Control Project on spatiotemporal transmission dynamics in South Korea using dynamic mode decomposition.

Haram Seo, Byul Nim Kim, Arsen Abdulali, Sunmi Lee

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Article in Malaria journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Haram Seo *Department of Applied Mathematics, Kyung Hee University, 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do, 17104, Republic of Korea.
Byul Nim Kim *Department of Applied Mathematics, Kyung Hee University, 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do, 17104, Republic of Korea.
Arsen AbdulaliSchool of Engineering and Material Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Sunmi LeeDepartment of Applied Mathematics, Kyung Hee University, 1732 Deogyeong-daero, Yongin-si, Gyeonggi-do, 17104, Republic of Korea. sunmilee@khu.ac.kr.

Funding

National Research Foundation of Korea(NRF) grant No. 2022R1A5A1033624
6 · The paper itself

Abstract

backgroundMalaria re-emerged on the Korean Peninsula after elimination in 1979, driven by cross-border mosquito incursions and imported infections. Despite ongoing control efforts, transmission persists near the demilitarized zone (DMZ). Major national programs, including the South-North Joint Malaria Control Project (2008-2011) and the Korean 5-Year Malaria Re-Elimination Plan (2019-2023), aimed to interrupt transmission and achieve elimination.

methodsWe applied the compatible-window dynamic mode decomposition (CwDMD) framework to malaria incidence data from 2001 to 2024 across 17 provinces and 37 subregions. This data-driven approach identified dominant spatiotemporal transmission modes and assessed structural changes in regional synchrony and hotspot connectivity before and after interventions.

resultThe South-North Joint Control Project (2008-2011) achieved a 63% reduction in national incidence between 2007 and 2011 and disrupted synchronization among border and metropolitan regions, indicating a shift in transmission structure. In contrast, the 5-Year Re-Elimination Plan (2019-2023) was associated with an approximately 49% decrease in incidence from 2018 to its lowest level in 2021; however, incidence subsequently increased by about 30% by 2023 relative to the pre-implementation level in 2018, accompanied by partial re-emergence of regional synchrony.

conclusionSustained malaria control requires not only reducing incidence but also weakening temporal and spatial coupling among high-risk regions. The CwDMD framework offers a robust tool for evaluating the impact of control measures and guiding adaptive, region-specific strategies toward malaria elimination in South Korea.

Indexed as

MalariaAnimalsHumansIncidenceRepublic of KoreaSpatio-Temporal AnalysisCompatible-window dynamic mode decompositionCross-border transmission between South and North KoreaMalaria transmission dynamicsSouth-North Joint Malaria ControlSpatiotemporal analysis

Identifiers

PMID42210345
PMCPMC13422092

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