Land use indicators and causes of death patterns in South America: a correlation, PCA and regression analysis

This study explores the link between land use and land cover change (LUCC) and causes of death (CD) in South America from 1990 to 2021. Key LUCC indicators (agricultural land, arable land, hectares per person, and forest area) were analyzed using correlation, principal component analysis (PCA), and linear regression. Findings show that reduced LUCC indicators correlate with higher mortality from cancers, particularly skin melanoma, colon, and pancreatic cancers. PCA revealed that declines in LUCC contribute to environmental pollution and increased cancer risks. Temporal trends showed rising rates of colon cancer and stroke, while leukemia declined. Environmental factors such as pesticide exposure and air pollution were significant contributors. The study emphasizes the need for policies integrating LUCC management with public health strategies to reduce disease risks. Limitations include regional focus and lack of age-specific data, suggesting future research should focus on specific areas and age groups.

Authors

Institutions

Publication Details

Journal
EQA - International Journal of Environmental Quality
Published
2026-01-14
DOI
https://doi.org/10.60923/issn.2281-4485/23264
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Land use indicators and causes of death patterns in South America: a correlation, PCA and regression analysis

Fabio Marcelo Idrovo Espín, Carlos Julio Mayorga-Arias
EQA - International Journal of Environmental Quality
Data-Driven Disease Surveillance
article

Land use indicators and causes of death patterns in South America: a correlation, PCA and regression analysis

Fabio Marcelo Idrovo Espín, Carlos Julio Mayorga-Arias
article en

Abstract

This study explores the link between land use and land cover change (LUCC) and causes of death (CD) in South America from 1990 to 2021. Key LUCC indicators (agricultural land, arable land, hectares per person, and forest area) were analyzed using correlation, principal component analysis (PCA), and linear regression. Findings show that reduced LUCC indicators correlate with higher mortality from cancers, particularly skin melanoma, colon, and pancreatic cancers. PCA revealed that declines in LUCC contribute to environmental pollution and increased cancer risks. Temporal trends showed rising rates of colon cancer and stroke, while leukemia declined. Environmental factors such as pesticide exposure and air pollution were significant contributors. The study emphasizes the need for policies integrating LUCC management with public health strategies to reduce disease risks. Limitations include regional focus and lack of age-specific data, suggesting future research should focus on specific areas and age groups.

EQA - International Journal of Environmental QualityVol. 72
Central University of Ecuador (EC)
Openalex Percentile: Top 88%
Data-Driven Disease Surveillance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.