ArticleNature communications2024
Using real-time modelling to inform the 2017 Ebola outbreak response in DR Congo.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Identification of Contacts With High Rates of Missed and Asymptomatic Infection Following an Outbreak of Ebola Virus Disease: A Seroepidemiological Study in Likati Health Zone, Democratic Republic of the Congo.Open forum infectious diseases · 2026Article
- Effects of individual variation and seasonal vaccination on disease risks.Nature communications · 2025Article
- Real-time inference of the end of an outbreak: Temporally aggregated disease incidence data and under-reporting.Infectious Disease Modelling · 2025Article
- A Primer on Inference and Prediction With Epidemic Renewal Models and Sequential Monte Carlo.Statistics in medicine · 2025Article
- The time-dependent reproduction number for epidemics in heterogeneous populations.Journal of the Royal Society, Interface · 2025Article
- Simulation-based inference of the time-dependent reproduction number from temporally aggregated and under-reported disease incidence time series data.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Reducing transmission in multiple settings is required to eliminate the risk of major Ebola outbreaks: a mathematical modelling study.Journal of the Royal Society, Interface · 2025Article
- Estimation of end-of-outbreak probabilities in the presence of delayed and incomplete case reporting.Proceedings. Biological sciences · 2025Article
- Using real-time modelling to inform the 2017 Ebola outbreak response in DR Congo.Nature communications · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Important policy questions during infections disease outbreaks include: i) How effective are particular interventions?; ii) When can resource-intensive interventions be removed? We used mathematical modelling to address these questions during the 2017 Ebola outbreak in Likati Health Zone, Democratic Republic of the Congo (DRC). Eight cases occurred before 15 May 2017, when the Ebola Response Team (ERT; co-ordinated by the World Health Organisation and DRC Ministry of Health) was deployed to reduce transmission. We used a branching process model to estimate that, pre-ERT arrival, the reproduction number was
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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.