Quentin J. Leclerc
A5001148118- COVID-19 epidemiological studies
- Antibiotic Resistance in Bacteria
- Data-Driven Disease Surveillance
- COVID-19 Digital Contact Tracing
- Bacteriophages and microbial interactions
- Antibiotic Use and Resistance
- COVID-19 and healthcare impacts
- COVID-19 and Mental Health
- Evolution and Genetic Dynamics
- Bacterial Identification and Susceptibility Testing
- COVID-19 diagnosis using AI
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Pandemic Impacts
- Antimicrobial Resistance in Staphylococcus
- Hepatitis B Virus Studies
- Anomaly Detection Techniques and Applications
- Viral Infections and Outbreaks Research
- Mobile Health and mHealth Applications
- Complex Network Analysis Techniques
- Pharmaceutical and Antibiotic Environmental Impacts
- Digital Mental Health Interventions
- Data Mining and Machine Learning Applications
- Stock Market Forecasting Methods
- Infection Control in Healthcare
Inserm
2023-2025
Institut Pasteur
2023-2025
Université Paris Cité
2023-2025
Centre de recherche en Epidémiologie et Santé des Populations
2023-2025
Université Paris-Saclay
2023-2025
Conservatoire National des Arts et Métiers
2023-2025
Université de Versailles Saint-Quentin-en-Yvelines
2023-2025
Institut de Veille Sanitaire
2024
Sorbonne Paris Cité
2024
CNR de la Résistance aux Antibiotiques
2024
SummaryBackgroundNational immunisation programmes globally are at risk of suspension due to the severe health system constraints and physical distancing measures in place mitigate ongoing COVID-19 pandemic. We aimed compare benefits sustaining routine childhood Africa with acquiring acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection through visiting vaccination service delivery points.MethodsWe considered a high-impact scenario low-impact approximate child deaths that could be...
<ns4:p><ns4:bold>Background</ns4:bold>: Concern about the health impact of novel coronavirus SARS-CoV-2 has resulted in widespread enforced reductions people’s movement (“lockdowns”). However, there are increasing concerns severe economic and wider societal consequences these measures. Some countries have begun to lift some rules on physical distancing a stepwise manner, with differences what “exit strategies” entail their timeframes. The aim this work was inform such exit strategies by...
Before the coronavirus 2019 (COVID-19) pandemic began, antimicrobial resistance (AMR) was among top priorities for global public health. Already a complex challenge, AMR now needs to be addressed in changing healthcare landscape. Here, we analyse how changes due COVID-19 terms of usage, infection prevention, and health systems affect emergence, transmission, burden AMR. Increased hand hygiene, decreased international travel, elective hospital procedures may reduce pathogen selection spread...
<ns4:p><ns4:bold>Background</ns4:bold>: Concern about the health impact of novel coronavirus SARS-CoV-2 has resulted in widespread enforced reductions people’s movement (“lockdowns”). However, there are increasing concerns severe economic and wider societal consequences these measures. Some countries have begun to lift some rules on physical distancing a stepwise manner, with differences what “exit strategies” entail their timeframes. The aim this work was inform such exit strategies by...
Abstract Background Asymptomatic or subclinical SARS-CoV-2 infections are often unreported, which means that confirmed case counts may not accurately reflect underlying epidemic dynamics. Understanding the level of ascertainment (the ratio symptomatic cases to true number individuals) and undetected progression is crucial informing COVID-19 response planning, including introduction relaxation control measures. Estimating over time allows for accurate estimates specific outcomes such as...
The health impact of COVID-19 may differ in African settings as compared to countries Europe or China due demographic, epidemiological, environmental and socio-economic factors. We evaluated strategies reduce SARS-CoV-2 burden countries, so support decisions that balance minimising mortality, protecting services safeguarding livelihoods. used a Susceptible-Exposed-Infectious-Recovered mathematical model, stratified by age, predict the evolution epidemics three representing range age...
Understanding changes in human mobility the early stages of COVID-19 pandemic is crucial for assessing impacts travel restrictions designed to reduce disease spread. Here, relying on data from mainland China, we investigate spatio-temporal characteristics between 1st January and March 2020, discuss their public health implications. An outbound surge Wuhan before were implemented was also observed across China due Lunar New Year, indicating that holiday may have played a larger role compared...
Abstract Background Many low- and middle-income countries have implemented control measures against coronavirus disease 2019 (COVID-19). However, it is not clear to what extent these explain the low numbers of recorded COVID-19 cases deaths in Africa. One main aims reduce respiratory pathogen transmission through direct contact with others. In this study, we collect data from residents informal settlements around Nairobi, Kenya, assess if changed patterns, estimate impact changes on basic...
A key unknown for SARS-CoV-2 is how asymptomatic infections contribute to transmission. We used a transmission model with and presymptomatic states, calibrated data on disease onset test frequency from the Diamond Princess cruise ship outbreak, quantify contribution of The estimated that 74% (70–78%, 95% posterior interval) proceeded asymptomatically. Despite intense testing, 53% (51–56%) remained undetected, most them asymptomatic. Asymptomatic individuals were source 69% (20–85%) all...
<ns3:p><ns3:bold>Introduction:</ns3:bold> Contact tracing has the potential to control outbreaks without need for stringent physical distancing policies, e.g. civil lockdowns. Unlike forward contact tracing, backward identifies source of newly detected cases. This approach is particularly valuable when there high individual-level variation in number secondary transmissions (overdispersion).</ns3:p><ns3:p> <ns3:bold>Methods:</ns3:bold> By using a simple branching process model, we explored...
<ns3:p><ns3:bold>Introduction:</ns3:bold> Contact tracing has the potential to control outbreaks without need for stringent physical distancing policies, e.g. civil lockdowns. Unlike forward contact tracing, backward identifies source of newly detected cases. This approach is particularly valuable when there high individual-level variation in number secondary transmissions (overdispersion).</ns3:p><ns3:p> <ns3:bold>Methods:</ns3:bold> By using a simple branching process model, we explored...
Abstract Emerging evidence suggests that contact tracing has had limited success in the UK reducing R number across COVID-19 pandemic. We investigate potential pitfalls and areas for improvement by extending an existing branching process model, adding diagnostic testing refining parameter estimates. Our results demonstrate reporting adherence are most important predictors of programme impact but coverage speed plus sensitivity also play role. conclude well-implemented could bring small...
Abstract England has experienced a heavy burden of COVID-19, with multiple waves SARS-CoV-2 transmission since early 2020 and high infection levels following the emergence spread Omicron variants late 2021. In response to rising cases, booster vaccinations were accelerated offered all adults in England. Using model fitted more than 2 years epidemiological data, we project potential dynamics infections, hospital admissions deaths December 2022. We consider key uncertainties including future...
Antimicrobial resistance (AMR) is one of the greatest public health challenges we are currently facing. To develop effective interventions against this, it essential to understand processes behind spread AMR. These partly dependent on dynamics horizontal transfer genes between bacteria, which can occur by conjugation (direct contact), transformation (uptake from environment) or transduction (mediated bacteriophages). Mathematical modelling a powerful tool investigate AMR; however, extent its...
Abstract In early 2020 many countries closed schools to mitigate the spread of SARS-CoV-2. Since then, governments have sought relax closures, engendering a need understand associated risks. Using address records, we construct network in England connected through pupils who share households. We evaluate risk transmission between under different reopening scenarios. show that whilst select year-groups causes low large-scale transmission, secondary could result outbreaks affecting up 2.5...
Small populations (e.g., hospitals, schools or workplaces) are characterised by high contact heterogeneity and stochasticity affecting pathogen transmission dynamics. Empirical individual data provide unprecedented information to characterize such increasingly available, but usually collected over a limited period, can suffer from observation bias. We propose an algorithm stochastically reconstruct realistic temporal networks in healthcare settings (HCS) test this approach using real...
Abstract Background Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length stay (LoS) in particular types. LoS can vary depending on the patient’s “bed pathway” - sequence transfers individual between types during a hospital stay. In this study, we characterise these pathways, and their impact predicted occupancy. Methods We obtained data from University College Hospital (UCH) ISARIC4C Clinical Information Network (CO-CIN) who required care general...
During the COVID-19 pandemic, CoMix study, a longitudinal behavioral survey, was designed to monitor social contacts and public awareness in multiple countries, including Belgium. As it is vulnerable participants' "survey fatigue", which may impact inferences.A negative binomial generalized additive model for location, scale, shape (NBI GAMLSS) adopted estimate number of reported between age groups deal with under-reporting due fatigue within study. The dropout process analyzed first-order...
Bacteriophage (phage), viruses that can infect and kill bacteria, are being investigated through phage therapy as a potential solution to the threat of antimicrobial resistance (AMR). In reality, however, also natural drivers bacterial evolution by transduction when they accidentally carry nonphage DNA between bacteria.
Bacteriophage (phage) are bacterial predators that can also spread antimicrobial resistance (AMR) genes between bacteria by generalised transduction. Phage often present alongside antibiotics in the environment, yet evidence of their joint killing effect on is conflicted, and dynamics transduction such systems unknown. Here, we combine vitro data mathematical modelling to identify conditions where phage act synergy remove or drive AMR evolution. We adapt a published model phage-bacteria...
Nosocomial infections of both patients and healthcare workers (HCWs) in hospitals may play an important part the overall dynamics a viral pandemic, as evidenced by recent COVID-19 experience. A strategy to control this risk consists dedicating some care infected only, with HCWs alternating between shifts continuous stay within these periods isolation. This has been implemented locally various settings generalized Egypt. Here, using mathematical model coupling community, we assess impact on...