Cargando…

Nowcasting the 2022 mpox outbreak in England

In May 2022, a cluster of mpox cases were detected in the UK that could not be traced to recent travel history from an endemic region. Over the coming months, the outbreak grew, with over 3000 total cases reported in the UK, and similar outbreaks occurring worldwide. These outbreaks appeared linked...

Descripción completa

Detalles Bibliográficos
Autores principales: Overton, Christopher E., Abbott, Sam, Christie, Rachel, Cumming, Fergus, Day, Julie, Jones, Owen, Paton, Rob, Turner, Charlie, Ward, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538717/
https://www.ncbi.nlm.nih.gov/pubmed/37721951
http://dx.doi.org/10.1371/journal.pcbi.1011463
_version_ 1785113359883960320
author Overton, Christopher E.
Abbott, Sam
Christie, Rachel
Cumming, Fergus
Day, Julie
Jones, Owen
Paton, Rob
Turner, Charlie
Ward, Thomas
author_facet Overton, Christopher E.
Abbott, Sam
Christie, Rachel
Cumming, Fergus
Day, Julie
Jones, Owen
Paton, Rob
Turner, Charlie
Ward, Thomas
author_sort Overton, Christopher E.
collection PubMed
description In May 2022, a cluster of mpox cases were detected in the UK that could not be traced to recent travel history from an endemic region. Over the coming months, the outbreak grew, with over 3000 total cases reported in the UK, and similar outbreaks occurring worldwide. These outbreaks appeared linked to sexual contact networks between gay, bisexual and other men who have sex with men. Following the COVID-19 pandemic, local health systems were strained, and therefore effective surveillance for mpox was essential for managing public health policy. However, the mpox outbreak in the UK was characterised by substantial delays in the reporting of the symptom onset date and specimen collection date for confirmed positive cases. These delays led to substantial backfilling in the epidemic curve, making it challenging to interpret the epidemic trajectory in real-time. Many nowcasting models exist to tackle this challenge in epidemiological data, but these lacked sufficient flexibility. We have developed a nowcasting model using generalised additive models that makes novel use of individual-level patient data to correct the mpox epidemic curve in England. The aim of this model is to correct for backfilling in the epidemic curve and provide real-time characteristics of the state of the epidemic, including the real-time growth rate. This model benefited from close collaboration with individuals involved in collecting and processing the data, enabling temporal changes in the reporting structure to be built into the model, which improved the robustness of the nowcasts generated. The resulting model accurately captured the true shape of the epidemic curve in real time.
format Online
Article
Text
id pubmed-10538717
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-105387172023-09-29 Nowcasting the 2022 mpox outbreak in England Overton, Christopher E. Abbott, Sam Christie, Rachel Cumming, Fergus Day, Julie Jones, Owen Paton, Rob Turner, Charlie Ward, Thomas PLoS Comput Biol Research Article In May 2022, a cluster of mpox cases were detected in the UK that could not be traced to recent travel history from an endemic region. Over the coming months, the outbreak grew, with over 3000 total cases reported in the UK, and similar outbreaks occurring worldwide. These outbreaks appeared linked to sexual contact networks between gay, bisexual and other men who have sex with men. Following the COVID-19 pandemic, local health systems were strained, and therefore effective surveillance for mpox was essential for managing public health policy. However, the mpox outbreak in the UK was characterised by substantial delays in the reporting of the symptom onset date and specimen collection date for confirmed positive cases. These delays led to substantial backfilling in the epidemic curve, making it challenging to interpret the epidemic trajectory in real-time. Many nowcasting models exist to tackle this challenge in epidemiological data, but these lacked sufficient flexibility. We have developed a nowcasting model using generalised additive models that makes novel use of individual-level patient data to correct the mpox epidemic curve in England. The aim of this model is to correct for backfilling in the epidemic curve and provide real-time characteristics of the state of the epidemic, including the real-time growth rate. This model benefited from close collaboration with individuals involved in collecting and processing the data, enabling temporal changes in the reporting structure to be built into the model, which improved the robustness of the nowcasts generated. The resulting model accurately captured the true shape of the epidemic curve in real time. Public Library of Science 2023-09-18 /pmc/articles/PMC10538717/ /pubmed/37721951 http://dx.doi.org/10.1371/journal.pcbi.1011463 Text en © 2023 Overton et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Overton, Christopher E.
Abbott, Sam
Christie, Rachel
Cumming, Fergus
Day, Julie
Jones, Owen
Paton, Rob
Turner, Charlie
Ward, Thomas
Nowcasting the 2022 mpox outbreak in England
title Nowcasting the 2022 mpox outbreak in England
title_full Nowcasting the 2022 mpox outbreak in England
title_fullStr Nowcasting the 2022 mpox outbreak in England
title_full_unstemmed Nowcasting the 2022 mpox outbreak in England
title_short Nowcasting the 2022 mpox outbreak in England
title_sort nowcasting the 2022 mpox outbreak in england
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10538717/
https://www.ncbi.nlm.nih.gov/pubmed/37721951
http://dx.doi.org/10.1371/journal.pcbi.1011463
work_keys_str_mv AT overtonchristophere nowcastingthe2022mpoxoutbreakinengland
AT abbottsam nowcastingthe2022mpoxoutbreakinengland
AT christierachel nowcastingthe2022mpoxoutbreakinengland
AT cummingfergus nowcastingthe2022mpoxoutbreakinengland
AT dayjulie nowcastingthe2022mpoxoutbreakinengland
AT jonesowen nowcastingthe2022mpoxoutbreakinengland
AT patonrob nowcastingthe2022mpoxoutbreakinengland
AT turnercharlie nowcastingthe2022mpoxoutbreakinengland
AT wardthomas nowcastingthe2022mpoxoutbreakinengland