Determinants of mortality type in a high altitude Andean context using a multivariable logit regression model in Puno, Peru
Percy Huata-Panca, Jahir Manuel Huata Apaza, Angel Javier Quispe Carita, Godofredo Quispe Mamani, Fred Torres-Cruz
Abstract
Understanding the determinants of mortality type is central to evidence-based public health, particularly in high-altitude Andean regions where demographic, clinical, and health-system factors intersect. This study aimed to identify factors associated with the type of death (natural versus violent) in the Puno region, Peru, in 2024, using a parsimonious and statistically robust logit modeling framework. A cross-sectional analytical design was applied to the entire population of registered deaths
Topics & Concepts
Logistic regressionContext (archaeology)LogitEconometricsGeographyPopulationEstimationCovariateEffects of high altitude on humansAltitude (triangle)StatisticsRegression analysisType (biology)Public healthMultivariable calculusDemographyRegressionStatistical modelGeneralized linear modelMortality rateLinear regressionLinear modelHigh Altitude and HypoxiaMaternal and Neonatal HealthcareGlobal Maternal and Child Health