Predicted preoperative maximal static respiratory pressures in adult cardiac surgeries: evaluation of two formulas.

Objectives: Cardiac surgery (CC) determines systemic and pulmonary changes that require special care. Awareness of the importance of respiratory muscle dysfunction in the development of respiratory failure motivated several studies conducted in healthy subjects to assess muscle strength. These studies were carried out by evaluating the maximal inspiratory pressure (MIP) and maximal expiratory pressure (MEP) values.

Predicting the number of cases of dengue infection in Ribeirão Preto, São Paulo State, Brazil, using a SARIMA model.

This study aimed to develop a forecasting model for the incidence of dengue in Ribeirão Preto, São Paulo State, Brazil, using time series analysis. The model was performed using the Seasonal Autoregressive Integrated Moving Average (SARIMA). Firstly, we fitted a model considering monthly notifications of cases of dengue recorded from 2000 to 2008 in Ribeirão Preto.

A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil.

Introduction: Forecasting dengue cases in a population by using time-series models can provide useful information that can be used to facilitate the planning of public health interventions. The objective of this article was to develop a forecasting model for dengue incidence in Campinas, southeast Brazil, considering the Box-Jenkins modeling approach.

Methods: The forecasting model for dengue incidence was performed with R software using the seasonal autoregressive integrated moving average (SARIMA) model.