Publications by authors named "A Fouillet"
Background: Yearly bronchiolitis and influenza-like illness epidemics in France often involve high morbidity and mortality, which severely impacts healthcare. Epidemics are declared by the French National Institute of Public Health based on syndromic surveillance of primary care and emergency departments (ED), using statistics-based alarms. Although the effective reproduction number (Rt) is used to monitor the dynamics of epidemics, it has never been used as an early warning tool for bronchiolitis or influenza-like illness epidemics in France.
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- - From April 2023 to May 2024, France saw a significant increase in parvovirus B19 (B19V) infections, with IgM-positive cases four times higher than in the 2019 epidemic.
- - Clinical data supported the rise, showing adverse health effects, especially in children, while adults mostly showed increased lab-confirmed cases.
- - It's crucial for physicians and policymakers to be alerted so they can improve prevention, diagnosis, and management for vulnerable patients.
Article Synopsis
- The European Mortality Monitoring Network (EuroMOMO) noticed more people are dying than usual since late November 2023.
- In the early weeks of 2024, there were about 95 extra deaths for every 100,000 people in Europe, mostly affecting adults aged 45 and older.
- This rise in deaths seems to be happening because of a lot of illnesses like COVID-19, flu, and RSV during the winter season.
Mismatch Repair Deficiency (dMMR)/Microsatellite Instability (MSI) is a key biomarker in colorectal cancer (CRC). Universal screening of CRC patients for MSI status is now recommended, but contributes to increased workload for pathologists and delayed therapeutic decisions. Deep learning has the potential to ease dMMR/MSI testing and accelerate oncologist decision making in clinical practice, yet no comprehensive validation of a clinically approved tool has been conducted.
View Article and Find Full Text PDFBackground: The effective reproduction number (Rt) quantifies the average number of secondary cases caused by one person with an infectious disease. Near-real-time monitoring of Rt during an outbreak is a major indicator used to monitor changes in disease transmission and assess the effectiveness of interventions. The estimation of Rt usually requires the identification of infected cases in the population, which can prove challenging with the available data, especially when asymptomatic people or with mild symptoms are not usually screened.
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