Multivariate analysis in data science for the geospatial distribution of the breast cancer mortality rate in Colombia

Rubio, Carlos A.; Alfaro, Miguel; Mejia-Giraldo, Armando; Fuertes, Guillermo; Mosquera, Rodolfo; Vargas, Manuel

doi:10.3389/fonc.2022.1055655

Cited by 2 publications

(1 citation statement)

References 52 publications

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“…On the other hand, location and coverage models are used to determine the minimum number of facilities and their geographic location to meet spatially distributed demands [33][34][35][36]. The decision-making process should determine the placement of facilities by considering user requirements and geographical constraints.…”

Section: Related Literaturementioning

confidence: 99%

Water Reservoir Placement Methodology for Forest Firefighting: A Case Study of Valparaíso, Chile

Alfaro,

Santander,

Fuertes

et al. 2024

Forests

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Climate change has a significant impact on generating forest fires. These fires damage property, interrupt productive processes, reduce employment sources, and generate direct economic losses. Also, fires contribute to climate change, resulting in a negative cycle. Therefore, the effective management of forest fires is of vital importance. This research focuses on the combat and mitigation phase of forest fires, with special emphasis on using helicopters to transport water from nearby reservoirs to the fire site. The location of these reservoirs is key since a greater distance traveled by helicopter means a longer delay in water transport, which favors the spread of the fire. For this reason, this research proposes an optimization model to determine the optimal location of these reservoirs in a territory. The proposed model is illustrated with a case study of the region of Valparaiso, demonstrating its usefulness for management and decision making when locating reservoirs for firefighting.

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Section: Related Literaturementioning

confidence: 99%

Water Reservoir Placement Methodology for Forest Firefighting: A Case Study of Valparaíso, Chile

Alfaro,

Santander,

Fuertes

et al. 2024

Forests

Self Cite

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Exploring the geospatial epidemiology of breast cancer in Iran: identifying significant risk factors and spatial patterns for evidence-based prevention strategies

Soleimani,

Ayyoubzadeh,

Jalilvand

et al. 2023

BMC Cancer

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Background Breast Cancer (BC) is a formidable global health challenge, and Iran is no exception, with BC accounting for a significant proportion of women’s malignancies. To gain deeper insights into the epidemiological characteristics of BC in Iran, this study employs advanced geospatial techniques and feature selection methods to identify significant risk factors and spatial patterns associated with BC incidence. Methods Using rigorous statistical methods, geospatial data from Iran, including cancer-related, sociodemographic, healthcare infrastructure, environmental, and air quality data at the provincial level, were meticulously analyzed. Age-standardized incidence rates (ASR) are calculated, and different regression models are used to identify significant variables associated with BC incidence. Spatial analysis techniques, including global and local Moran's index, geographically weighted regression, and Emerging hotspot analysis, were utilized to examine geospatial patterns, identify clustering and hotspots, and assess spatiotemporal distribution of BC incidence. Results The findings reveal that BC predominantly affects women (98.03%), with higher incidence rates among those aged 50 to 79. Isfahan (ASR = 26.1) and Yazd (ASR = 25.7) exhibit the highest rates. Significant predictors of BC incidence, such as marriage, tertiary education attainment rate, physician-to-population ratio, and PM2.5 air pollution, are identified through regression models. Conclusion The study's results provide valuable information for the development of evidence-based prevention strategies to reduce the burden of BC in Iran. The findings underscore the importance of early detection, health education campaigns, and targeted interventions in high-risk clusters and adjacent regions. The geospatial insights generated by this study have implications for policy-makers, researchers, and public health practitioners, facilitating the formulation of effective BC prevention strategies tailored to the unique epidemiological patterns in Iran.

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Multivariate analysis in data science for the geospatial distribution of the breast cancer mortality rate in Colombia

Cited by 2 publications

References 52 publications

Water Reservoir Placement Methodology for Forest Firefighting: A Case Study of Valparaíso, Chile

Water Reservoir Placement Methodology for Forest Firefighting: A Case Study of Valparaíso, Chile

Exploring the geospatial epidemiology of breast cancer in Iran: identifying significant risk factors and spatial patterns for evidence-based prevention strategies

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