Sociocultural aspects of delays in diagnosis among tuberculosis-diabetes comorbid patients in Satara, India: Its implications for the implementation of the national framework for joint tuberculosis-diabetes collaborative activities.

Background: Tuberculosis(TB) and Diabetes comorbidity is an emerging public health problem in India. Delays in diagnosing TB or Diabetes would lead to adverse outcomes among comorbid patients, and attempts must be made to reduce these delays. Against this background, the study has been undertaken to clarify the role of sociocultural factors in determining diagnostic delays for TB and Diabetes among comorbid patients.

Predicting over-the-counter antibiotic use in rural Pune, India, using machine learning methods.

Objectives: Over-the-counter (OTC) antibiotic use can cause antibiotic resistance, threatening global public health gains. To counter OTC use, this study used machine learning (ML) methods to identify predictors of OTC antibiotic use in rural Pune, India.

Methods: The features of OTC antibiotic use were selected using stepwise logistic, lasso, random forest, XGBoost, and Boruta algorithms.