Early identification of dengue patients at risk of adverse outcomes is important to prevent
hospital overcrowding in low-to middle-income countries during epidemics. We performed a …

Background Dengue modeling is a research topic that has increased in recent years. Early
prediction and decision-making are key factors to control dengue. This Systematic Literature …

Organisms respond in multiple ways to microbial infections. Pathogen invasion tipically
triggers an inflammatory response where acute phase proteins (APP) have a key role …

Background Predictive markers represent a solution for the proactive management of severe
dengue. Despite the low mortality rate resulting from severe cases, dengue requires …

Background/aim: The purpose of this study is to evaluate serum pentraxin-3 (PTX-3) levels
in Sars-CoV-2 virus infection (COVID-19) patients and to investigate whether PTX-3 predicts …

Dengue virus (DENV) is transmitted by infectious mosquitoes during blood-feeding via
saliva containing biologically-active proteins. Here, we examined the effect of varying DENV …

Growth factors (GFs) have a role in tissue repair and in the modulation of the expression of
inflammatory cells in damage caused by pathogens. This study aims to systematize the …

Background This study aimed to compare the predictive performance of 3 statistical models—
logistic regression, classification tree, and structural equation model (SEM)—in predicting …

Background Vascular endothelial growth factor (VEGF) is one of the proteins involved in
dengue immunopathogenesis. It is overexpressed in severe dengue and contributes to …

Background The study aimed to identify predictors of severe dengue during the 2017
epidemic and to develop and validate a simple predictive score for severity. Methods A …