Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Graham F Medley

Biographic Data

ID9072361
NAMEGraham F Medley
GIVEN NAMESGraham F
FAMILY NAMEMedley
SIGNATUREMEDLEY G F
AFFILIATIONSLondon School of Hygiene & Tropical Medicine
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India

    Open Access•Natalie J Dial, Simon L Croft et al.•ARTICLE•PLOS Global Public Health•2022

    As India comes closer to the elimination of visceral leishmaniasis (VL) as a public health problem, surveillance efforts and elimination targets must be continuously revised and strengthened. Mathematical modelling is a compelling research discipline for informing policy and programme design in its capacity to project incidence across space and time, the likelihood of achieving benchmarks, and the impact of different interventions. To gauge the e…

  • The local burden of disease during the first wave of the Covid-19 epidemic in England

    Open Access•Emily Nightingale, Emily S Nightingale et al.•ARTICLE•BMC Public Health•2022

    Limitations in testing capacity biased the observed trajectory of COVID-19 infections throughout the first wave. Basing inference on COVID-19-related mortality and higher-coverage testing later in the time period, we could explore the extent of this bias more explicitly. Evidence points towards substantial under-representation of initial growth and peak magnitude of infections nationally, to which different parts of the country contribute unequal…

  • Modelling costs of community-based HIV self-testing programmes in Southern Africa at scale

    Open Access•Marc d’Elbée, Gabriela B Gomez et al.•ARTICLE•BMJ Global Health•2021

    BACKGROUND: Following success demonstrated with the HIV Self-Testing AfRica Initiative, HIV self-testing (HIVST) is being added to national HIV testing strategies in Southern Africa. An analysis of the costs of scaling up HIVST is needed to inform national plans, but there is a dearth of evidence on methods for forecasting costs at scale from pilot projects. Econometric cost functions (ECFs) apply statistical inference to predict costs; however, …

  • Effects of non-pharmaceutical interventions on Covid-19 cases, deaths, and demand for hospital services in the UK

    Open Access•Nicholas G Davies, Adam J Kucharski et al.•ARTICLE•The Lancet Public Health•2020

    Background Non-pharmaceutical interventions have been implemented to reduce transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the UK. Projecting the size of an unmitigated epidemic and the potential effect of different control measures has been crucial to support evidence-based policy making during the early stages of the epidemic. This study assesses the potential impact of different control measures for mitigating …

No prominent works on this page.

  • Effects of non-pharmaceutical interventions on Covid-19 cases, deaths, and demand for hospital services in the UK

    Open Access•Nicholas G Davies, Adam J Kucharski et al.•ARTICLE•The Lancet Public Health•2020

    Background Non-pharmaceutical interventions have been implemented to reduce transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the UK. Projecting the size of an unmitigated epidemic and the potential effect of different control measures has been crucial to support evidence-based policy making during the early stages of the epidemic. This study assesses the potential impact of different control measures for mitigating …

  • Modelling costs of community-based HIV self-testing programmes in Southern Africa at scale

    Open Access•Marc d’Elbée, Gabriela B Gomez et al.•ARTICLE•BMJ Global Health•2021

    BACKGROUND: Following success demonstrated with the HIV Self-Testing AfRica Initiative, HIV self-testing (HIVST) is being added to national HIV testing strategies in Southern Africa. An analysis of the costs of scaling up HIVST is needed to inform national plans, but there is a dearth of evidence on methods for forecasting costs at scale from pilot projects. Econometric cost functions (ECFs) apply statistical inference to predict costs; however, …

  • Challenges of using modelling evidence in the visceral leishmaniasis elimination programme in India

    Open Access•Natalie J Dial, Simon L Croft et al.•ARTICLE•PLOS Global Public Health•2022

    As India comes closer to the elimination of visceral leishmaniasis (VL) as a public health problem, surveillance efforts and elimination targets must be continuously revised and strengthened. Mathematical modelling is a compelling research discipline for informing policy and programme design in its capacity to project incidence across space and time, the likelihood of achieving benchmarks, and the impact of different interventions. To gauge the e…

  • The local burden of disease during the first wave of the Covid-19 epidemic in England

    Open Access•Emily Nightingale, Emily S Nightingale et al.•ARTICLE•BMC Public Health•2022

    Limitations in testing capacity biased the observed trajectory of COVID-19 infections throughout the first wave. Basing inference on COVID-19-related mortality and higher-coverage testing later in the time period, we could explore the extent of this bias more explicitly. Evidence points towards substantial under-representation of initial growth and peak magnitude of infections nationally, to which different parts of the country contribute unequal…

Medicine (4 works) · Business (2 works) · COVID-19 epidemiological studies (2 works) · Disease (2 works) · Environmental health (2 works) · Nursing (2 works) · Pandemic (2 works) · Population (2 works) · Psychological intervention (2 works) · 2019-20 coronavirus outbreak (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae