Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19.

This study evaluates the scale-free network assumption commonly used in COVID-19 epidemiology, using empirical social network data from SARS-CoV-2 Delta variant molecular local clusters in Houston, Texas. We constructed genome-informed social networks from contact and co-residence data, tested them for scale-free power-law distributions that imply highly connected hubs, and compared them to alternative models (exponential, log-normal, power-law with exponential cutoff, and Weibull) that suggest more evenly distributed network connections. Although the power-law model failed the goodness of fit test, after incorporating social network ties, the power-law model was at least as good as, if not better than, the alternatives, implying the presence of both hub and non-hub mechanisms in local SARS-CoV-2 transmission.

How well controlled are our type 2 diabetic patients in 2002? An observational study in North and Central Trinidad.

Objectives: To determine the proportion of diabetic patients that achieved glycemic control (HbA1c pound7.0%) and to explore some of the barriers to achieve this control.

Design: Cross-sectional, observational study.