A5090324251- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
- Vaccine Coverage and Hesitancy
- Antibiotic Use and Resistance
- SARS-CoV-2 and COVID-19 Research
- Infection Control and Ventilation
- Viral gastroenteritis research and epidemiology
- Infection Control in Healthcare
- Patient Satisfaction in Healthcare
Institut Pierre Louis d‘Épidémiologie et de Santé Publique
2021-2022
Institut de Veille Sanitaire
2021
Inserm
2021
Sorbonne Université
2021
Conservatoire National des Arts et Métiers
2016-2020
Institut Pasteur
2017
Abstract With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive targeting schools workplaces where cases are detected, with an agent-based model accounting for natural history, characteristics, demographics, behavioural changes social distancing. In most scenarios, leads to a higher reduction compared non-reactive strategies using same number doses. The...
Norovirus, the leading cause of gastroenteritis, causes higher morbidity and mortality in nursing homes (NHs) than community. Hence, implementing infection control measures is crucial. However, evidence on effectiveness these NH settings lacking. Using an innovative data-driven modeling approach, we assess various interventions to norovirus spread NHs.We collected data resident staff characteristics inter-human contacts a French NH. Based this data, developed stochastic compartmental model...
Mathematical modeling approaches have brought important contributions to the study of pathogen spread in healthcare settings over last 20 years. Here, we conduct a comprehensive systematic review mathematical models disease transmission and assess application contact patient transfer network data time their impact on our understanding dynamics infections.Recently, with increasing availability structure interindividual interinstitution networks, incorporating this type information been...
Abstract Background Workplace absenteeism increases significantly during influenza epidemics. Sick leave records may facilitate more timely detection of outbreaks, as trends in increased sick precede alerts issued by sentinel surveillance systems days or weeks. data have not been comprehensively evaluated comparison to traditional methods. The aim this paper is study the performance and feasibility using a system based on detect outbreaks. Methods were extracted from private French health...
Abstract As vaccination against COVID-19 stalls in some countries, increased accessibility and more adaptive approaches may be useful to keep the epidemic under control. Here, we study impact of reactive targeting schools workplaces where cases are detected, with an agent-based model accounting for natural history, vaccine characteristics, individuals’ demography behaviour social distancing. At equal number doses produces a higher reduction compared non-reactive strategies, majority...
Background - Workplace absenteeism increases significantly during influenza epidemics. Sick leave records may facilitate more timely detection of outbreaks, as trends in increased sick precede alerts issued by sentinel surveillance systems days or weeks. data have not been comprehensively evaluated comparison to traditional methods. Aim To study the performance and feasibility using a system based on detect outbreaks Methods were extracted from private French health insurance data, covering...