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Conall Watson

Biographic Data

ID7020547
NAMEConall Watson
GIVEN NAMESConall
FAMILY NAMEWatson
SIGNATUREWATSON C
AFFILIATIONSUK Health Security Agency
ORCID0000-0002-2469-791X
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Developing a syndromic surveillance tool to support the epidemiological investigation into paediatric acute hepatitis of unknown aetiology in England

    Open Access•Alex J Elliot, Helen E Hughes et al.•ARTICLE•BMC Public Health•2025

    We demonstrate how syndromic surveillance provided support to the HUA outbreak using an existing syndromic surveillance framework to develop new indicators based on the newly emerging clinical symptoms. The outputs from the syndromic tool matched clinical and epidemiological findings with respect to trends in other HUA-related data, including clinical and laboratory reports, over time. This work demonstrates the potential for syndromic surveillan…

  • A comparative study of influenza surveillance systems and administrative data in England during the 2022–2023 season

    Open Access•Jonathon Mellor, Rachel Christie et al.•ARTICLE•PLOS Global Public Health•2024

    Accurate and representative surveillance is essential for understanding the impact of influenza on healthcare systems. During the 2022–2023 influenza season, the Northern Hemisphere experienced its most significant epidemic wave since the onset of the COVID-19 pandemic in 2020. Concurrently, new surveillance systems, developed in response to the pandemic, became available within health services. In this study, we analysed per capita admission rat…

  • Electronic Data Management for Vaccine Trials in Low Resource Settings

    Open Access•Michael Marks, Sham Lal et al.•ARTICLE•Frontiers in Public Health•2021

    Background: ODK provides software and standards that are popular solutions for off-grid electronic data collection and has substantial code overlap and interoperability with a number of related software products including CommCare, Enketo, Ona, SurveyCTO, and KoBoToolbox. These tools provide open-source options for off-grid use in public health data collection, management, analysis, and reporting. During the 2018–2020 Ebola epidemic in the North …

No prominent works on this page.

  • Electronic Data Management for Vaccine Trials in Low Resource Settings

    Open Access•Michael Marks, Sham Lal et al.•ARTICLE•Frontiers in Public Health•2021

    Background: ODK provides software and standards that are popular solutions for off-grid electronic data collection and has substantial code overlap and interoperability with a number of related software products including CommCare, Enketo, Ona, SurveyCTO, and KoBoToolbox. These tools provide open-source options for off-grid use in public health data collection, management, analysis, and reporting. During the 2018–2020 Ebola epidemic in the North …

  • A comparative study of influenza surveillance systems and administrative data in England during the 2022–2023 season

    Open Access•Jonathon Mellor, Rachel Christie et al.•ARTICLE•PLOS Global Public Health•2024

    Accurate and representative surveillance is essential for understanding the impact of influenza on healthcare systems. During the 2022–2023 influenza season, the Northern Hemisphere experienced its most significant epidemic wave since the onset of the COVID-19 pandemic in 2020. Concurrently, new surveillance systems, developed in response to the pandemic, became available within health services. In this study, we analysed per capita admission rat…

  • Developing a syndromic surveillance tool to support the epidemiological investigation into paediatric acute hepatitis of unknown aetiology in England

    Open Access•Alex J Elliot, Helen E Hughes et al.•ARTICLE•BMC Public Health•2025

    We demonstrate how syndromic surveillance provided support to the HUA outbreak using an existing syndromic surveillance framework to develop new indicators based on the newly emerging clinical symptoms. The outputs from the syndromic tool matched clinical and epidemiological findings with respect to trends in other HUA-related data, including clinical and laboratory reports, over time. This work demonstrates the potential for syndromic surveillan…

Medicine (3 works) · COVID-19 epidemiological studies (2 works) · Data-Driven Disease Surveillance (2 works) · Attendance (1 work) · Biostatistics (1 work) · Computer Science (1 work) · COVID-19 and healthcare impacts (1 work) · Dashboard (1 work) · Data management (1 work) · Data science (1 work)

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