Forecasting COVID-19 daily cases using phone call data.

The need to forecast COVID-19 related variables continues to be pressing as the epidemic unfolds. Different efforts have been made, with compartmental models in epidemiology and statistical models such as AutoRegressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS) or computing intelligence models. These efforts have proved useful in some instances by allowing decision makers to distinguish different scenarios during the emergency, but their accuracy has been disappointing, forecasts ignore uncertainties and less attention is given to local areas.

Natural History of Patients Taking Rifaximin-α for Recurrent Hepatic Encephalopathy and Risk of Future Overt Episodes and Mortality: A Post-hoc Analysis of Clinical Trials Data.

Purpose: Hepatic encephalopathy (HE) is a complication of cirrhosis signaling decompensation and is associated with mortality. There has been little characterization of HE once an incident episode has occurred and of what effect the transition to overt HE might have on outcomes. We characterized the relationships between the number of previous HE episodes and risk of subsequent episodes and mortality to better understand the natural history of HE.

Who tweets? Deriving the demographic characteristics of age, occupation and social class from twitter user meta-data.

This paper specifies, designs and critically evaluates two tools for the automated identification of demographic data (age, occupation and social class) from the profile descriptions of Twitter users in the United Kingdom (UK). Meta-data data routinely collected through the Collaborative Social Media Observatory (COSMOS: http://www.cosmosproject.

Can people with type 2 diabetes live longer than those without? A comparison of mortality in people initiated with metformin or sulphonylurea monotherapy and matched, non-diabetic controls.

Aims: Clinical and observational studies have shown an increased risk of cardiovascular events and death associated with sulphonylureas versus metformin. However, it has never been determined whether this was due to the beneficial effects of metformin or detrimental effects of sulphonylureas. The objective of this study was therefore to compare all-cause mortality in diabetic patients treated first-line with either sulphonylurea or metformin monotherapy with that in matched individuals without diabetes.

The bottom-up approach to defining life: deciphering the functional organization of biological cells via multi-objective representation of biological complexity from molecules to cells.

In silico representation of cellular systems needs to represent the adaptive dynamics of biological cells, recognizing a cell's multi-objective topology formed by temporally cohesive intracellular structures. The design of these models needs to address the hierarchical and concurrent nature of cellular functions and incorporate the ability to self-organize in response to transitions between healthy and pathological phases, and adapt accordingly. The functions of biological systems are constantly progressing, due to the ever changing demands of their environment.

Providing confusion: the need for education not information in chronic care.

Patient information is one aspect of meeting the needs of health service users; it is meant to empower patients and their carers in making informed decisions and managing their health needs. Mary Dixon-Woods described two types of discourse in patient education: the first is more concerned with making patients comply with their doctors orders and the second is about empowering patients and rejecting direction. This article looks at the aims of the two and shows that neither is capable of supporting highly successful best practice within medicine.