ArticleBMC infectious diseases2024
Time series analysis and short-term forecasting of monkeypox outbreak trends in the 10 major affected countries.
Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 19 citations in OpenAlex.
- Wavelet analysis and time series forecasting of malaria incidence across different transmission settings in Nigeria.BMC infectious diseases · 2026Article
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- Dynamic temporal partitioning enhanced transformer for pediatric viral load forecasting.Frontiers in public health · 2026Article
- Global Burden of Colorectal Cancer in Adolescents and Young Adults From 1990 to 2021: A Systematic Analysis of the Global Burden of Disease Study 2021.Health science reports · 2025Article
- Temporal Trends of Dengue in India (1990-2021): A Joinpoint and Age-Period-Cohort Analysis.EcoHealth · 2025Article
- Changes in HIV-1 Reservoir Dynamics After Mpox Infection.Journal of medical virology · 2025Article
- Low Specific T-Cell Immunity Against Mpox Elicited in People With HIV-1 and PrEP Users After Subcutaneous Vaccination Compared to Natural Infection.Journal of medical virology · 2025Article
- Time series modelling and forecasting of mpox incidence and mortality in Nigeria.BMC infectious diseases · 2025Article
- Time series modelling and forecasting of Monkeypox outbreak trends Africa's in most affected countries.New microbes and new infections · 2024Article
- Human monkeypox disease prediction using novel modified restricted Boltzmann machine-based equilibrium optimizer.Scientific reports · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundConsidering the rapidly spreading monkeypox outbreak, WHO has declared a global health emergency. Still in the category of being endemic, the monkeypox disease shares numerous clinical characters with smallpox. This study focuses on determining the most effective combination of autoregressive integrated moving average model to encapsulate time dependent flow behaviour of the virus with short run prediction.
methodsThis study includes the data of confirmed reported cases and cumulative cases from eight most burdened countries across the globe, over the span of May 18, 2022, to December 31, 2022. The data was assembled from the website of Our World in Data and it involves countries such as United States, Brazil, Spain, France, Colombia, Mexico, Peru, United Kingdom, Germany and Canada. The job of modelling and short-term forecasting is facilitated by the employment of autoregressive integrated moving average. The legitimacy of the estimated models is argued by offering numerous model performance indices such as, root mean square error, mean absolute error and mean absolute prediction error.
resultsThe best fit models were deduced for each country by using the data of confirmed reported cases of monkeypox infections. Based on diverse set of performance evaluation criteria, the best fit models were then employed to provide forecasting of next twenty days. Our results indicate that the USA is expected to be the hardest-hit country, with an average of 58 cases per day with 95% confidence interval of (00-400). The second most burdened country remained Brazil with expected average cases of 23 (00-130). The outlook is not much better for Spain and France, with average forecasts of 52 (00-241) and 24 (00-121), respectively.
conclusionThis research provides profile of ten most severely hit countries by monkeypox transmission around the world and thus assists in epidemiological management. The prediction trends indicate that the confirmed cases in the USA may exceed than other contemporaries. Based on the findings of this study, it remains plausible to recommend that more robust health surveillance strategy is required to control the transmission flow of the virus especially in USA.
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