Article

A real-time forecasting framework for emerging infectious diseases affecting animal populations

2024-12-17

Abstract excerpt

Infectious disease forecasting has become increasingly important in public health, as demonstrated during the COVID-19 pandemic. However, forecasting tools for emergency animal diseases, particularly those offering real-time decision support when parameters governing disease dynamics are unknown, remain limited. We introduce a generalised modelling framework for near-real-time forecasting of the temporal and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2d1e4e83-8f2a-50b0-b6a3-b49b24953a7b
DOI: 10.1101/2024.12.12.628251

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A real-time forecasting framework for emerging infectious diseases affecting animal populationsDOI 10.1101/2024.12.12.628251Read

Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New ZealandSemantic proximity Read

Predictive Machine Learning Models for Zoonotic Disease Surveillance: Implications for Animal Health and Veterinary PracticeSemantic proximity Read

A Machine Learning-enabled SIR Model for Adaptive and Dynamic Forecasting of COVID-19Semantic proximity Read

Machine Learning and Probabilistic Approaches for Forecasting Infectious Disease Transmission and CasesSemantic proximity Read

The influence of model structure and geographic specificity on predictive accuracy among European COVID-19 forecastsSemantic proximity Read

Evaluation of an open forecasting challenge to assess skill of West Nile virus neuroinvasive disease predictionSemantic proximity Read

Nowcasting and Forecasting the 2022 U.S. Mpox Outbreak: Support for Public Health Decision Making and Lessons LearnedSemantic proximity Read

Assessing the accuracy of kernel-fitting and projections of spatial risk at key early timepoints in outbreaksSemantic proximity Read

Foundation time series models for forecasting and policy evaluation in infectious disease epidemicsSemantic proximity Read

Forecasting the daily COVID-19 incidence in large and small communities -- A comparative study of forecasting approaches for disease surveillanceSemantic proximity Read

Short-term forecasts to inform the response to the Covid-19 epidemic in the UKSemantic proximity Read

A regression-based approach to modelling recurrent outbreaks: a case study of dengue fever in Nepal (2006–2022)Semantic proximity Read