A Geospatial Model to Identify Areas Associated with Late- Stage Breast Cancer: A Spatial Epidemiology Approach.

Objective: The aim of this study was to show how a geospatial model can be used to identify areas with a higher probability for late-stage breast cancer (BC) diagnoses.

Methods: Our study considered an ecological design. Clinical records at a tertiary care hospital were reviewed in order to obtain the place of residence and stage of the disease, which was classified as early (0-IIA) and late (IIB-IV) and whose diagnoses were made during the 2013-2017 period.

[Behavior and demand patterns for medical consultations for Kidney Disease at the IMSS, 2011-2020].

Background: Mortality from Chronic Kidney Disease (CKD) has increased particularly in the Americas, the trend of wich could also be observed in Mexico, mainly due to the magnitude that Diabetes Mellitus and Arterial Hypertension have reached as the main causal factors.

Objective: To examine the behavior and patterns associated with the demand for medical consultations for Kidney Disease (KD) in the IMSS during the period 2011-2020.

Material And Methods: According to the medical consultations for KD, general and adjusted rates were estimated by year and population assigned to first-level medical unit (UMF).