ArticlePLoS computational biology2023
Nowcasting the 2022 mpox outbreak in England.
Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Forecasting of infectious disease epidemics in sexual networks using attenuated renewal processes.PLoS computational biology · 2026Article
- Evaluation of short-term multi-target respiratory forecasts over winter 2024-25 in England using sub-ensemble contribution analyses.PLoS computational biology · 2026Article
- Identification and attribution of weekly periodic biases in global epidemiological time series data.BMC research notes · 2025Article
- An application of nowcasting methods: Cases of norovirus during the winter 2023/2024 in England.PLoS computational biology · 2025Article
- Nowcasting to Monitor Real-Time Mpox Trends During the 2022 Outbreak in New York City: Evaluation Using Reportable Disease Data Stratified by Race or Ethnicity.Online journal of public health informatics · 2025Article
- Baseline nowcasting methods for handling delays in epidemiological data.Wellcome open research · 2025Article
- Global Trends in MPOX Research (2014-2025): A Bibliometric Analysis and Overview.Veterinary medicine (Auckland, N.Z.) · 2025Review
- Best practices for estimating and reporting epidemiological delay distributions of infectious diseases.PLoS computational biology · 2024Article
- Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022-2023 mpox epidemic.Royal Society open science · 2024Article
- The need for pre-emptive control strategies for mpox in Asia and Oceania.Infectious Disease Modelling · 2024Article
- Increasing situational awareness through nowcasting of the reproduction number.Frontiers in public health · 2024Article
- Retrospective evaluation of short-term forecast performance of ensemble sub-epidemic frameworks and other time-series models: The 2022-2023 mpox outbreak across multiple geographical scales, July 14medRxiv : the preprint server for health sciences · 2023Article
- Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight.Epidemiology and infection · 2023Review
- The UK Health System's Response to the Monkeypox Outbreak of 2022: A Scoping Review.Journal of global infectious diseasesArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.