Publications by authors named "L Di Clemente"
: The chikungunya virus (CHIKV), transmitted by infected Aedes mosquitoes, has caused a significant number of infections worldwide. In Brazil, the emergence of the CHIKV-ECSA genotype in 2014 posed a major public health challenge due to its association with more severe symptoms. : This study aimed to shed new light on the host immune response by examining the whole-blood transcriptomic profile of both CHIKV-acute and chronically infected individuals from Feira de Santana, Bahia, Brazil, a region heavily affected by CHIKV, Dengue, and Zika virus epidemics.
View Article and Find Full Text PDFBackground: Plasma neurofilament light chain (NFL) has been measured as a biomarker of neuronal damage in various neurological disorders. Elevated tau and β-amyloid levels have been found in patients with fibromyalgia (FM). The aim of the present study was to compare plasma neurofilament levels in fibromyalgia patients with normal controls and to investigate the correlation with clinical features and cognitive tests.
View Article and Find Full Text PDFArticle Synopsis
- Since 2021, Brazil has faced a surge in COVID-19 cases and deaths due to new variants of concern (VOC) and low vaccination rates, which have led to the emergence of more mutations.
- The study aimed to assess whether local genomic surveillance and epidemiological data can reflect nationwide trends in the COVID-19 pandemic.
- Findings revealed three key variant replacements (Gamma, Delta, and Omicron) and highlighted that vaccination became increasingly effective in preventing new cases and deaths as the pandemic progressed.
Article Synopsis
- Accurate forecasts improve public health responses to seasonal influenza, with 26 teams providing predictions for hospital admissions in 2021-22 and 2022-23.
- Six out of 23 models performed better than the baseline in 2021-22, while 12 out of 18 models did so in 2022-23, with the FluSight ensemble being highly ranked in both seasons.
- Despite its accuracy, the FluSight ensemble and other models struggled with longer forecast periods, especially during times of rapid change in influenza patterns.