Application of Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak

Rezaei, Mehdi; Nouri, Abbas Ali; Park, Gyun Seok; Kim, Doo Hwan

doi:10.18502/ijph.v49is1.3679

Cited by 26 publications

(35 citation statements)

References 1 publication

(2 reference statements)

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“…9 The government appropriately applied artificial intelligence to trace the detected cases, and provided a successful system of transparency accordingly. 10 Besides, the technology ensured the quality and safety of the facilities in hospitals and prevented the infection among medical staffs.…”

Section: Advanced Technologymentioning

confidence: 99%

Measures to Control the Transmission of COVID-19 in South Korea: Searching for the Hidden Effective Factors

Rokni

Park

2020

Asia Pac J Public Health

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The experiences of South Korea in controlling the transmission of COVID-19 (coronavirus disease-2019) is valuable as a successful strategic plan. However, this research aimed to investigate the effective factors in this process from different perspectives. Based on an analysis of the available information and statistics published by the government, World Health Organization, and local organizations, this research was searching for not only the effective approaches in controlling the transmission but also the effective factors that roots in Korean cultural background and lifestyle. The critical points in controlling the virus transmission in Korea have been to respond promptly, besides of designing an active system of tracing, and early detection. The supply chain management prevented any shortage on the required products. Advanced technology guaranteed the safety of the medical facilities. However, another efficient factor was the Korean social and cultural background, besides the national solidarity. The findings highlight that the mechanisms that help South Korea fight in controlling the transmissions of the pandemic were in line with the World Health Organization’s recommendation. However, South Korea gained advantages from other factors that have roots in their social interactions, cultural background, and the well-established and advanced IT systems that enabled the government to manage the outbreak of COVID-19.

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Section: Advanced Technologymentioning

confidence: 99%

Measures to Control the Transmission of COVID-19 in South Korea: Searching for the Hidden Effective Factors

Rokni

Park

2020

Asia Pac J Public Health

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“…La razón de consistencia resultante fue 0,060, valor inferior a 0,1, por lo cual se considera que el vector de pesos presenta una inconsistencia admisible. El análisis espacial y la cartografía temática en salud para el manejo de brotes de enfermedades, particularmente durante la actual pandemia, proporcionan diversas oportunidades prácticas para las autoridades sanitarias municipales, al detectar y monitorear probables rutas de contagio y predecir las áreas donde se corre mayor riesgo de transmisión viral (32).…”

Section: Ateri Ales Y Métodosunclassified

“…En las enfermedades contagiosas, la expansión de un brote inicia desde el caso índice, y se extiende en el territorio mediante una cadena de individuos ordenados de acuerdo con el momento de contagio, el cual requiere de contacto estrecho y la transmisión viral, regulada por la densidad e interacción de la población. Los datos de localización de los casos son fundamentales en la toma de decisiones para el control de las enfermedades y, en el contexto de la actual pandemia, existe evidencia de que los países que iniciaron la detección y el seguimiento espacial de personas infectadas de forma temprana han sido más exitosos que aquellos que no realizaron estos procesos (32).…”

Section: Ateri Ales Y Métodosunclassified

Riesgo de transmisión de SARS-CoV-2: evaluación espacial multicriterio en un municipio de Colombia, 2020

et al. 2020

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Objetivo Zonificar el riesgo de transmisión de SARS-CoV-2 en Villavicencio, Colombia, mediante una evaluación espacial multicriterio.Materiales y Métodos Se implementó un modelo de evaluación multicriterio, a través de un proceso de análisis jerárquico integrado a un sistema de información geográfica. Como criterios fueron incluidos atributos descriptores de las amenazas y vulnerabilidades de transmisión viral identificados mediante un modelo epidemiológico en una misma escala numérica adimensional y proporcional a la probabilidad de contagio. Las alternativas evaluadas corresponden a entidades espaciales representadas por pixeles. Los criterios fueron ponderados de acuerdo con el juicio experto de los evaluadores, con los cuales se realizó el cálculo de una matriz de prioridades relativas normalizada, que permitió la estimación de un vector de pesos, cuyo grado de inconsistencia fue admisible. La magnitud del riesgo se calculó con una sumatoria ponderada de la valoración de los criterios, de acuerdo con un geoproceso de álgebra de mapas.Resultados La heterogeneidad espacial del riesgo de transmisión de SARS-CoV-2 fue descrita en Villavicencio, lo que permitió identificar las áreas con mayor probabilidad de transmisión localizadas en barrios caracterizados por una alta vulnerabilidad socioeconómica.Conclusiones La representación cartográfica derivada de la implementación de un modelo multicriterio, integrado a un Sistema de Información Geográfica, en el análisis de riesgo de transmisión de SARS-CoV-2 constituye un aporte metodológico relevante para la toma de decisiones que definan estrategias de mitigación a escala local y que faciliten la localización y optimización de recursos por parte de las autoridades sanitarias.

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“…There have been some successful applications for observing and controlling some diseases, such as SARS or Ebola virus disease, through the application of GIS systems (REZAEI et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, based on the research and experience of managing disease outbreaks, obtaining information about the locations of patients is crucial to the process of controlling and decision making (REZAEI et al, 2020). By employing such approaches from the onset of COVID-19, the local authorities and health experts of some countries have started to track and identify infected people through GIS systems (WHO, 2020a).…”

Section: Introductionmentioning

confidence: 99%

Gis Application for Modeling Covid-19 Risk in the Makkah Region, Saudi Arabia, Based on Population and Population Density

2020

The Egyptian Journal of Environmental Change

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COVID-19 in Saudi Arabia has emerged across different regions of the country. To date, the Makkah region has seen the highest number of COVID-19 cases, containing 39.5% of all cases in Saudi Arabia. To understand the risk of COVID-19, the population and population density of the region were investigated. Examining the number of COVID-19 cases could provide useful insights for officials when considering the adoption of different interventions. To obtain this data, a local spatial analysis using Geographically Weighted Regression (GWR) was employed to predict the risk of COVID-19 for the Makkah Region. A strong positive association (R² =0.96) was found between COVID-19 and population and population density in Makkah region. The cities with the highest population and population density were found to be at a higher risk of COVID-19.

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Application of Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak

Abstract: This article is a Letter to the Editor and does not include an Abstract.

Cited by 26 publications

References 1 publication

Measures to Control the Transmission of COVID-19 in South Korea: Searching for the Hidden Effective Factors

Measures to Control the Transmission of COVID-19 in South Korea: Searching for the Hidden Effective Factors

Riesgo de transmisión de SARS-CoV-2: evaluación espacial multicriterio en un municipio de Colombia, 2020

Gis Application for Modeling Covid-19 Risk in the Makkah Region, Saudi Arabia, Based on Population and Population Density

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