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Daniela de Angelis

Showing results (61-70 of 122) with videos related to

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AIDS (London, England)|February 18, 2015
Modelling the HIV epidemic among MSM in the United Kingdom: quantifying the contributions to HIV transmission to better inform prevention initiativesNarat Punyacharoensin, William John Edmunds, Daniela De Angelis, et al.
International Journal of Environmental Research and Public Health|June 24, 2022
Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance DataRoger Morbey, Gillian Smith, Karen Exley, et al.
American Journal of Epidemiology|April 18, 2013
Estimating the effectiveness of isolation and decolonization measures in reducing transmission of methicillin-resistant Staphylococcus aureus in hospital general wardsColin J Worby, Dakshika Jeyaratnam, Julie V Robotham, et al.
Plos Medicine|December 10, 2009
The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysisAnne M Presanis, Daniela De Angelis, , et al.
Journal of Clinical Epidemiology|January 24, 2006
Estimated progression rates in three United Kingdom hepatitis C cohorts differed according to method of recruitmentMichael J Sweeting, Daniela De Angelis, Keith R Neal, et al.
The Lancet. HIV|February 6, 2016
Effect of pre-exposure prophylaxis and combination HIV prevention for men who have sex with men in the UK: a mathematical modelling studyNarat Punyacharoensin, William John Edmunds, Daniela De Angelis, et al.
Plos Currents|February 17, 2012
The severity of pandemic H1N1 influenza in the United States, April - July 2009: NOTE THE BODY OF THIS KNOL IS IN THE PROCESS OF REVISION AND WILL SOON MATCH THE ABSTRACT. AT PRESENT IT IS A HYBRID OF THE OLD AND REVISED VERSIONSAnne M Presanis, Marc Lipsitch, Daniela De Angelis, et al.
Statistical Methods in Medical Research|July 15, 2022
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19Christopher H Jackson, Brian Dm Tom, Peter D Kirwan, et al.
Lifetime Data Analysis|February 28, 2019
Extending Bayesian back-calculation to estimate age and time specific HIV incidenceFrancesco Brizzi, Paul J Birrell, Martyn T Plummer, et al.
BMJ Open|March 25, 2022
Trends in outcomes following COVID-19 symptom onset in Milan: a cohort studyChristopher H Jackson, Francesca Grosso, Kevin Kunzmann, et al.
Pageof 13

Showing results (61-70 of 122) with videos related to

Sort By:
Pageof 13
AIDS (London, England)|February 18, 2015
Modelling the HIV epidemic among MSM in the United Kingdom: quantifying the contributions to HIV transmission to better inform prevention initiativesNarat Punyacharoensin, William John Edmunds, Daniela De Angelis, et al.
International Journal of Environmental Research and Public Health|June 24, 2022
Estimating the Impact of Air Pollution on Healthcare-Seeking Behaviour by Applying a Difference-in-Differences Method to Syndromic Surveillance DataRoger Morbey, Gillian Smith, Karen Exley, et al.
American Journal of Epidemiology|April 18, 2013
Estimating the effectiveness of isolation and decolonization measures in reducing transmission of methicillin-resistant Staphylococcus aureus in hospital general wardsColin J Worby, Dakshika Jeyaratnam, Julie V Robotham, et al.
Plos Medicine|December 10, 2009
The severity of pandemic H1N1 influenza in the United States, from April to July 2009: a Bayesian analysisAnne M Presanis, Daniela De Angelis, , et al.
Journal of Clinical Epidemiology|January 24, 2006
Estimated progression rates in three United Kingdom hepatitis C cohorts differed according to method of recruitmentMichael J Sweeting, Daniela De Angelis, Keith R Neal, et al.
The Lancet. HIV|February 6, 2016
Effect of pre-exposure prophylaxis and combination HIV prevention for men who have sex with men in the UK: a mathematical modelling studyNarat Punyacharoensin, William John Edmunds, Daniela De Angelis, et al.
Plos Currents|February 17, 2012
The severity of pandemic H1N1 influenza in the United States, April - July 2009: NOTE THE BODY OF THIS KNOL IS IN THE PROCESS OF REVISION AND WILL SOON MATCH THE ABSTRACT. AT PRESENT IT IS A HYBRID OF THE OLD AND REVISED VERSIONSAnne M Presanis, Marc Lipsitch, Daniela De Angelis, et al.
Statistical Methods in Medical Research|July 15, 2022
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19Christopher H Jackson, Brian Dm Tom, Peter D Kirwan, et al.
Lifetime Data Analysis|February 28, 2019
Extending Bayesian back-calculation to estimate age and time specific HIV incidenceFrancesco Brizzi, Paul J Birrell, Martyn T Plummer, et al.
BMJ Open|March 25, 2022
Trends in outcomes following COVID-19 symptom onset in Milan: a cohort studyChristopher H Jackson, Francesca Grosso, Kevin Kunzmann, et al.
Pageof 13