Area of research
Modeling and Simulation · Molecular Medicine
Research interest
Research interests include COVID-19 epidemiological studies, Antibiotic Resistance in Bacteria, COVID-19 Clinical Research Studies, and COVID-19 and Mental Health.
Factors associated with an increased risk of developing pneumonia during acute ischemic stroke hospitalization.
Integrated Analysis of Patient Networks and Plasmid Genomes to Investigate a Regional, Multispecies Outbreak of Carbapenemase-Producing Enterobacterales Carrying Both blaIMP and mcr-9 Genes.
Reduction in mobility and COVID-19 transmission.
Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England
Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England.
Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China.
Integrated analysis of patient networks and plasmid genomes reveals a regional, multi-species outbreak of carbapenemase-producing Enterobacterales carrying both<i>bla</i><sub>IMP</sub>and<i>mcr-9</i>genes
Estimates of the severity of coronavirus disease 2019: a model-based analysis
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand
The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries
Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’
The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries.
Comparison of molecular testing strategies for COVID-19 control: a mathematical modelling study
State-level tracking of COVID-19 in the United States
State-level tracking of COVID-19 in the United States.
Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment
Report 41: The 2020 SARS-CoV-2 epidemic in England: key epidemiological drivers and impact of interventions
Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK