- COVID-19 epidemiological studies
- Data-Driven Disease Surveillance
- Legume Nitrogen Fixing Symbiosis
- Viral Infections and Outbreaks Research
- Respiratory viral infections research
- Influenza Virus Research Studies
- Human Mobility and Location-Based Analysis
- Plant and soil sciences
- COVID-19 Digital Contact Tracing
- COVID-19 and Mental Health
- Rabbits: Nutrition, Reproduction, Health
- Climate Change and Health Impacts
- Conflict of Laws and Jurisdiction
- Forecasting Techniques and Applications
- German Colonialism and Identity Studies
- Agricultural and Food Production Studies
- Study of Mite Species
- Health, psychology, and well-being
- Contemporary Literature and Criticism
- Statistical Methods in Epidemiology
- Agronomic Practices and Intercropping Systems
- Agroforestry and silvopastoral systems
- Simone de Beauvoir and Sartre
- Diverse Cultural and Historical Studies
- Global Health Care Issues
UK Health Security Agency
2023-2024
University of Cambridge
2013-2022
University of Nottingham
2021
Université Sorbonne Nouvelle
2013-2020
Laboratoire de Linguistique Formelle
2020
Université de Rennes
2013
Université Rennes 2
2013
Estación Experimental de Pastos y Forrajes Indio Hatuey
1982-1989
University of Matanzas
1982-1983
Abstract Social mixing patterns are crucial in driving transmission of infectious diseases and informing public health interventions to contain their spread. Age-specific social is often inferred from surveys self-recorded contacts which by design have a very limited number participants. In addition, such rare, so evaluated considering only one study. Here we report detailed population contact for United Kingdom based self-reported data over 36,000 volunteers that participated the massive...
Abstract Background Isolation of symptomatic cases and tracing contacts has been used as an early COVID-19 containment measure in many countries, with additional physical distancing measures also introduced outbreaks have grown. To maintain control infection while reducing disruption to populations, there is a need understand what combination – including novel digital approaches less intensive may be required reduce transmission. Methods Using model individual-level transmission stratified...
Background Norovirus is a leading cause of acute gastroenteritis, adding to strain on healthcare systems. Diagnostic test reporting norovirus often delayed, resulting in incomplete data for real-time surveillance. Methods To nowcast the case burden generalised additive model (GAM), semi-mechanistic Bayesian joint process and delay “epinowcast”, structural time series (BSTS) including syndromic surveillance were developed. These models evaluated over weekly nowcasts using probabilistic...
Background From 2023 to 2024, England had the largest measles outbreak in over a decade. Lags from suspected cases' symptom onset availability of test results mean laboratory-confirmed case data are inherently retrospective rather than real-time. Reporting lags vary by prevalence and whether testing was for diagnostic or surveillance purposes. Nowcasting models predict future backfilling reported cases can estimate recent trends. Methods We developed generalised additive model framework...
Abstract The nexus of mobile technology, mass media, and public engagement is opening new opportunities for research into the human behaviours relevant to spread disease. On 22 March 2018, British Broadcasting Corporation (BBC) released documentary “Contagion! BBC Four Pandemic” describe science behind pandemic preparedness in UK. authors this article were responsible producing a mathematical simulation that how highly contagious respiratory pathogen might across According narrative,...
In this paper, we present work on SARS-CoV-2 transmission in UK higher education settings using multiple approaches to assess the extent of university outbreaks, how much those outbreaks may have led spillover community, and expected effects control measures. Firstly, found that distribution universities late 2020 was consistent with importation infection from arriving students. Considering at one university, larger halls residence posed risks for transmission. The dynamics wider communities...
Abstract Background Seasonal influenza places a substantial burden annually on healthcare services. Policies during the COVID-19 pandemic limited transmission of seasonal influenza, making timing and magnitude potential resurgence difficult to ascertain its impact important forecast. Methods We have developed hierarchical generalised additive model (GAM) for short-term forecasting hospital admissions with positive test virus sub-regionally across England. The incorporates multi-level...
Abstract We present human mobility data for the United Kingdom collected from “BBC Pandemic”, a public science project linked to BBC Four television documentary of same name. Mobile phone GPS trajectories submitted by users and over 24 hour period were aggregated construct anonymised origin-destination flux matrices at local administrative district (LAD). use these explore how patterns change with age employment status - unique stratifications that are not available other publicly privately...
In the "book of repetition" that is Arlington Park, Rachel Cusk, I argue, runs "risk feminine," in ways seem to rehearse paradigm sexual difference both raised and challenged by Beauvoir The Second Sex. start looking at how women Park (to adopt Beauvoirean terminology) mired immanence facticity, cut off from transcendence would confer subjectivity on them. Cusk's endeavour novel probes ambiguities her female characters' existences, which lead them paradoxically choose oppresses This...
Objectives To identify risk factors that contribute to outbreaks of COVID-19 in the workplace and quantify their effect on outbreak risk. Methods We identified cases investigated characteristics individuals, workplaces, areas they work mode commute work, through data linkages based Middle Layer Super Output Areas England between 20 June 2021 February 2022. estimated population-level associations potential outbreaks, adjusting for plausible confounders using a directed acyclic graph. Results...
Abstract Background Norovirus is a leading cause of acute gastroenteritis, adding to strain on healthcare systems. Diagnostic test reporting norovirus often delayed, resulting in incomplete data for real-time surveillance. Methods To nowcast the case burden generalised additive model, semi-mechanistic Bayesian joint process and delay structural time series model including syndromic surveillance were developed. These models evaluated over weekly nowcasts using probabilistic scoring framework....
Abstract Seasonal respiratory viruses cause substantial pressure on healthcare systems, particularly over winter. System managers can mitigate the impact patient care when they anticipate hospital admissions due to these viruses. Hospitalisation forecasts were used widely during SARS-CoV-2 pandemic. Now, resurgent seasonal pathogens add complexity system planning. We describe how a suite of for pathogens, embedded in national and regional decision-making structures, systems care. developed...
Objectives: To identify and quantify risk factors that contribute to clusters of COVID-19 in the workplace. Methods: We identified cases workplace investigated characteristics individuals, workplaces, areas they work, methods commute through data linkages based on Middle Layer Super Output Areas (MSOAs) England between 20/06/2021 20/02/2022. estimated associations potential clusters, adjusting for plausible confounders using a Directed Acyclic Graph (DAG). Results: For most industries,...
Cet essai interroge la raison pour laquelle relativement peu de recherches en écocritique ont été consacrées à fiction George Eliot et conclut que l’intérêt son œuvre se dévoile moins au travers l’étude thématique ses romans dans une lecture croisée du texte éliotien avec des relectures récentes l’ Éthique Spinoza menées perspective d’une « écosophie » par quelques philosophes contemporains européens comme Gilles Deleuze, Félix Guattari ou Corine Pelluchon. S’inspirant typologie dresse John...
Universities provide many opportunities for the spread of infectious respiratory illnesses. Students are brought together into close proximity from all across world and interact with one another in their accommodation, through lectures small group teaching social settings. The COVID-19 global pandemic has highlighted need sufficient data to help determine which these factors important disease transmission universities hence control university morbidity as well community spillover. We...
Background: Seasonal influenza causes a substantial burden on healthcare services over the winter period when these systems are already under pressure. Policies during COVID-19 pandemic supressed transmission of season influenza, making timing and magnitude potential resurgence difficult to predict. Methods: We developed hierarchical generalised additive model (GAM) for short-term forecasting hospital admissions with positive test virus sub-regionally across England. The incorporates...
Hospitalisations from COVID-19 with Omicron sub-lineages have put a sustained pressure on the English healthcare system. Understanding expected demand enables more effective and timely planning public health. We collect syndromic surveillance sources, which include online search data, NHS 111 telephonic triages. Incorporating this data we explore generalised additive models, linear mixed-models, penalised models model ensemble methods to forecast over two-week horizon at an Trust level....
Cet article s'attachera à explorer l'interface poreuse entre l'humain et le non humain dans recueil de poèmes d'essais The Mara Crossing (2012) du poète britannique Ruth Padel, qui raconte phénomène migratoire point vue sujet migrant qu'il soit humain, animal, végétal ou microbien. Il s'agira d'examiner l'utilisation stratégique chez Padel trope jadis discrédité, l'anthropomorphisme, l'instar sa réhabilitation récente « matérialisme vitaliste » Jane Bennett, en tant que figure privilégiée...