Integrated surveillance for Oropouche Virus: Molecular evidence of potential urban vectors during an outbreak in the Brazilian Amazon.

The Oropouche Virus (OROV) has Culicoides paraensis as its main vector in the urban cycle. Diagnoses of acute febrile cases and entomological collections were performed between January and April 2024 in the urban setting of Porto Velho, a city located in the western Brazilian Amazon. A total of 904 human samples were evaluated using RT-qPCR, of which 328 were positive for OROV.

Advancement in SARS-CoV-2 diagnosis: A new and stable electrochemical biosensor for genomic RNA detection.

Coronavirus disease (COVID-19) is caused by infection with the SARS-CoV-2 virus, having already caused more than seven million deaths worldwide. Conventional techniques for SARS-CoV-2 detection have limitations, as high cost, low specificity, and longer analysis time, among others. Biosensors emerge as a necessary alternative to overcome the difficulties of current diagnostics.

Antigen concentration, viral load, and test performance for SARS-CoV-2 in multiple specimen types.

The relationship between N-antigen concentration and viral load within and across different specimens guides the clinical performance of rapid diagnostic tests (RDT) in different uses. A prospective study was conducted in Porto Velho, Brazil, to investigate RDT performance in different specimen types as a function of the correlation between antigen concentration and viral load. The study included 214 close contacts with recent exposures to confirmed cases, aged 12 years and older and with various levels of vaccination.

Screening for Severe Acute Respiratory Syndrome Coronavirus 2 in Close Contacts of Individuals With Confirmed Infection: Performance and Operational Considerations.

Background: Point-of-care and decentralized testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical to inform public health responses. Performance evaluations in priority use cases such as contact tracing can highlight trade-offs in test selection and testing strategies.

Methods: A prospective diagnostic accuracy study was conducted among close contacts of coronavirus disease 2019 (COVID-19) cases in Brazil.

Development of a quantitative one-step multiplex RT-qPCR assay for the detection of SARS-CoV-2 in a biological matrix.

Introduction: Coronavirus disease-2019 (COVID-19) is a disease caused by Severe Acute Respiratory Syndrome Virus 2 (SARS-CoV-2) that emerged in China in late 2019. The rapid viral spread has made the disease a public health emergency of worldwide concern. The gold standard for diagnosing SARS-CoV-2 is reverse transcription followed by qualitative real-time polymerase chain reaction (RT-qPCR); however, the role of viral load quantification has not been thoroughly investigated yet.