A computational tool for trend analysis and forecast of the COVID-19 pandemic.

Purpose: This paper proposes a methodology and a computational tool to study the COVID-19 pandemic throughout the world and to perform a trend analysis to assess its local dynamics.

Methods: Mathematical functions are employed to describe the number of cases and demises in each region and to predict their final numbers, as well as the dates of maximum daily occurrences and the local stabilization date. The model parameters are calibrated using a computational methodology for numerical optimization.

Creation of pneumoperitoneum: noninvasive monitoring of clinical effects of elevated intraperitoneal pressure for the insertion of the first trocar.

Aim: The aim of this work is to analyze, by means of noninvasive monitoring, the clinical effects of high intraperitoneal pressure for enough time to insert the first trocar.

Methods: Sixty-seven patients without significant lung problems were randomly divided into groups P12 (n = 30, maximum intraperitoneal pressure 12 mmHg) and P20 (n = 37, maximum intraperitoneal pressure 20 mmHg). A Veress needle was inserted into the left hypochondrium for creation of pneumoperitoneum.