Daniela De Angelis
Biographic Data
| ID | 3646408 |
|---|---|
| NAME | Daniela De Angelis |
| GIVEN NAMES | Daniela |
| FAMILY NAME | De Angelis |
| SIGNATURE | DE ANGELIS D |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0001-6619-6112 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Using modelling and public health surveillance data to evidence progress towards the WHO incidence target for hepatitis C elimination in people who inject drugs - a review of complementary approaches …
Analysing HCV incidence trends in people who inject drugs using serial behavioural and seroprevalence data
Fractional polynomials provided an adequate fit with relatively few parameters, but splines may be preferable to ensure flexibility, in particular, to detect short-term changes in the rate of first infection over time that may be a result of treatment effects. Although chronic HCV prevalence has declined with treatment scale up over 2016-2020, there is no evidence yet of a corresponding fall in the rate of first infection. Seroprevalence and risk…
Evaluating the effect of direct-acting antiviral agent treatment scale-up on Hepatitis C virus prevalence among people who inject drugs in UK
Real-world evidence showing substantial reductions in chronic HCV associated with increase of HCV treatment scale-up in the community thus supporting the effectiveness of HCV treatment as prevention in people who inject drugs
Decreasing hospital burden of Covid-19 during the first wave in Regione Lombardia
The hospital burden, in terms of both risks of poor outcomes and lengths of stay in hospital, has been demonstrated to have decreased over the months of the first wave, perhaps reflecting improved treatment and management of COVID-19 cases, as well as reduced burden as the first wave waned. The quantified burden allows for planning of hospital beds needed for current and future waves of SARS-CoV-2 i
Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models
This exercise successfully applied a range of pandemic models to seasonal influenza. Forecasting early in the season remains challenging but represents a crucially important activity to inform planning. Improved knowledge of pre-existing levels of immunity would be valuable
The bricks of Hagia Sophia (Istanbul, Turkey)
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Readily available severe case data can be effectively used to estimate epidemiological characteristics and to predict the evolution of an epidemic, crucially allowing real-time monitoring of the transmission and severity of the outbreak
Georadar investigations in the central nave of Hagia Sofia, Istanbul (Turkey)
New compositional data on ancient mortars from Hagia Sophia (Istanbul, Turkey)
Monitoring of the HIV Epidemic Using Routinely Collected Data
Defining populations and injecting parameters among people who inject drugs
The Edinburgh Addiction Cohort
Injecting drug users recruited from a community setting can be successfully followed-up through interviews and record linkage. Information from injecting cases is being analysed in terms of injecting patterns and possible influences on these. Comparisons between cases and controls will allow identification of possibly modifiable early life risk factors for drug injection and will also clarify the burden of disease associated with injection and th…
The Edinburgh Addiction Cohort
Objective: The misuse of substances (alcohol and illicit drugs) during pregnancy is increasingly common in the UK and is associated with poor maternal and foetal outcomes. Current estimates are that 2-3% of children have a substance misusing parent. There is a poor understanding of the demographics of pregnant substance misusers, of the patterns of antenatal service provision and little evidence about which service model is most effective at opti…
The Edinburgh Addiction Cohort
Objective: The misuse of substances (alcohol and illicit drugs) during pregnancy is increasingly common in the UK and is associated with poor maternal and foetal outcomes. Current estimates are that 2-3% of children have a substance misusing parent. There is a poor understanding of the demographics of pregnant substance misusers, of the patterns of antenatal service provision and little evidence about which service model is most effective at opti…
The Edinburgh Addiction Cohort
Injecting drug users recruited from a community setting can be successfully followed-up through interviews and record linkage. Information from injecting cases is being analysed in terms of injecting patterns and possible influences on these. Comparisons between cases and controls will allow identification of possibly modifiable early life risk factors for drug injection and will also clarify the burden of disease associated with injection and th…
Defining populations and injecting parameters among people who inject drugs
Monitoring of the HIV Epidemic Using Routinely Collected Data
New compositional data on ancient mortars from Hagia Sophia (Istanbul, Turkey)
Exploiting routinely collected severe case data to monitor and predict influenza outbreaks
Readily available severe case data can be effectively used to estimate epidemiological characteristics and to predict the evolution of an epidemic, crucially allowing real-time monitoring of the transmission and severity of the outbreak
Georadar investigations in the central nave of Hagia Sofia, Istanbul (Turkey)
The bricks of Hagia Sophia (Istanbul, Turkey)
Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models
This exercise successfully applied a range of pandemic models to seasonal influenza. Forecasting early in the season remains challenging but represents a crucially important activity to inform planning. Improved knowledge of pre-existing levels of immunity would be valuable
Decreasing hospital burden of Covid-19 during the first wave in Regione Lombardia
The hospital burden, in terms of both risks of poor outcomes and lengths of stay in hospital, has been demonstrated to have decreased over the months of the first wave, perhaps reflecting improved treatment and management of COVID-19 cases, as well as reduced burden as the first wave waned. The quantified burden allows for planning of hospital beds needed for current and future waves of SARS-CoV-2 i
Using modelling and public health surveillance data to evidence progress towards the WHO incidence target for hepatitis C elimination in people who inject drugs - a review of complementary approaches …
Analysing HCV incidence trends in people who inject drugs using serial behavioural and seroprevalence data
Fractional polynomials provided an adequate fit with relatively few parameters, but splines may be preferable to ensure flexibility, in particular, to detect short-term changes in the rate of first infection over time that may be a result of treatment effects. Although chronic HCV prevalence has declined with treatment scale up over 2016-2020, there is no evidence yet of a corresponding fall in the rate of first infection. Seroprevalence and risk…
Evaluating the effect of direct-acting antiviral agent treatment scale-up on Hepatitis C virus prevalence among people who inject drugs in UK
Real-world evidence showing substantial reductions in chronic HCV associated with increase of HCV treatment scale-up in the community thus supporting the effectiveness of HCV treatment as prevention in people who inject drugs
Medicine (9 works) · Environmental health (8 works) · HIV, Drug Use, Sexual Risk (6 works) · Public health (6 works) · Cohort (4 works) · Cohort study (4 works) · Demography (4 works) · Demography (4 works) · Epidemiology (4 works) · Hepatitis C virus research (4 works)