Anne M Presanis
Biographic Data
| ID | 7446570 |
|---|---|
| NAME | Anne M Presanis |
| GIVEN NAMES | Anne M |
| FAMILY NAME | Presanis |
| SIGNATURE | PRESANIS A M |
| AFFILIATIONS | University of Cambridge |
| ORCID | 0000-0003-3078-4427 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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
Examining changes in sexual lifestyles in Britain between 1990–2010
Our results indicate the viability of LCA models to assess change over time for complex behavioural phenomena. They align with previous findings, namely changing sexual lifestyles in Britain in recent decades, partnership number driving class assignment, and significant sex differences in sexual lifestyles. This approach can be used to extend previous LCA models (e.g., to investigate the impact of COVID-19 on sexual lifestyles) and to support emp…
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
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
No prominent works on this page.
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
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
Examining changes in sexual lifestyles in Britain between 1990–2010
Our results indicate the viability of LCA models to assess change over time for complex behavioural phenomena. They align with previous findings, namely changing sexual lifestyles in Britain in recent decades, partnership number driving class assignment, and significant sex differences in sexual lifestyles. This approach can be used to extend previous LCA models (e.g., to investigate the impact of COVID-19 on sexual lifestyles) and to support emp…
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 (5 works) · Environmental health (4 works) · Public health (4 works) · Biostatistics (3 works) · Coronavirus disease 2019 (COVID-19 (3 works) · Demography (3 works) · Demography (3 works) · Disease (3 works) · Epidemiology (3 works) · Infectious disease (medical specialty (3 works)