Gwangjin-gu, COVID-19 Data Analysis for Local Infection Response... Detailed Infectious Disease Prevention Map Created

Held 'Micro Geographic Information Production Results Report Meeting' for Infectious Disease Prediction and Response... Detailed Regional Analysis of COVID-19 Vulnerability Factors... Creation of 'Infectious Disease Prevention Detailed Map'

[Asia Economy Reporter Jongil Park] Gwangjin-gu (District Mayor Kim Seon-gap) held the "Micro Geographic Information Production Results Report Meeting" on the 15th to analyze COVID-19 related local information and predict and respond to local infections.

This report meeting was organized to share the results of producing a "Detailed Infectious Disease Prevention Map," which analyzed vulnerable groups and residential areas for COVID-19 within Gwangjin-gu by utilizing the "Micro Geographic Information Methodology" that subdivides and analyzes regions.

The detailed infectious disease prevention map classified the 15 neighborhoods of Gwangjin-gu into 671 small areas considering resident population and living zones, then analyzed infectious disease vulnerability factors such as gender, age, and housing type, displaying risk levels from highest A grade to lowest E grade for COVID-19 occurrence.

Additionally, along with producing the detailed map, the district conducted a public perception survey targeting 500 adult residents of Gwangjin-gu to assess opinions on prevention activities, policy agreement, and compliance with preventive measures, thereby understanding public sentiment regarding infectious diseases.

Based on the detailed prevention map and public opinion survey, the prediction and analysis of community infection showed that women (57.4%) need to focus more on respiratory disease and COVID-19 prevention than men (42.6%), and that people in their 20s with high cultural and physical activity levels and those in their 50s with high social and economic activity levels are vulnerable to COVID-19.

The district plans to promote appropriate prevention projects by region and social class using the analysis results derived from key variables for infectious disease prediction and analysis such as population size, gender, age, housing type, and household composition.

District Mayor Kim Seon-gap stated, "Reactive prevention that only follows confirmed patients' movement paths is insufficient to effectively block community infections," adding, "We will do our best to establish a customized prevention system by region based on the analysis results and prepare new measures to block the spread of COVID-19."

This content was produced with the assistance of AI translation services.