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Updated: Jan 26, 2026
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Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
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Spatially Filtered Multilevel Analysis on Spatial Determinants for Malaria Occurrence in Korea
1Department of Geography, Korea University, 145 Anam-ro, Seoul 02841, Korea. kseh92@gmail.com.
Summary
Understanding malaria risk in South Korea requires analyzing spatial factors. Housing costs, age, rice paddies, and proximity to the Demilitarized Zone (DMZ) influence outbreaks, alongside health budgets and military bases.
Area of Science:
- Epidemiology
- Spatial Analysis
- Public Health
Background:
- Malaria outbreaks, particularly vivax malaria, have resurged in South Korea since 1993, exhibiting altered spatial patterns.
- Vivax malaria occurrence is known to be spatially dependent due to complex interactions between human, environmental, and socioeconomic factors.
Purpose of the Study:
- To investigate the key spatial factors influencing malaria occurrences in South Korea.
- To enhance understanding and control of malaria risks through spatial analysis.
Main Methods:
- Application of a multilevel model to analyze variables across different spatial scales.
- Utilization of eigenvector spatial filtering to address spatial autocorrelation in malaria occurrence data.
Main Results:
- Level-1 significant factors include housing costs, average age, rice paddy field ratio, and distance from the Demilitarized Zone (DMZ).
- Level-2 significant factors include health budget per capita and military base area ratio.
- The spatially filtered multilevel model demonstrated superior performance in managing spatial data issues.
Conclusions:
- Multilevel modeling combined with spatial filtering effectively identifies significant spatial determinants of malaria.
- Identifying these factors is crucial for targeted interventions and malaria risk management in South Korea.
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