Why the study?
Hand-foot-and-mouth disease is a highly contagious viral infection, and real-time prediction of outbreaks is needed to facilitate timely implementation of control measures.
An integrated SEIR-EnKF model can provide reliable real-time forecasting of HFMD outbreak peak timing and magnitude to inform public health interventions.
Integrated SEIR-EnKF model enables real-time HFMD forecasting; leaves open prospective validation before guiding control measures.
Hand-foot-and-mouth disease (HFMD) is a highly contagious viral infection, and real-time predicting of HFMD outbreaks will facilitate the timely implementation of appropriate control measures. By integrating a susceptible-exposed-infectious-recovered (SEIR) model and an ensemble Kalman filter (EnKF) assimilation method, we developed an integrated compartment model and assimilation filtering forecast model for real-time forecasting of HFMD. When applied to HFMD outbreak data collected for 2008-11 in Beijing, China, our model successfully predicted the peak week of an outbreak three weeks before the actual arrival of the peak, with a predicted maximum infection rate of 85% or greater than the observed rate. Moreover, dominant virus types enterovirus 71 (EV-71) and coxsackievirus A16 (CV-A16) may account for the different patterns of HFMD transmission and recovery observed. The results of this study can be used to inform agencies responsible for public health management of tailored strategies for disease control efforts during HFMD outbreak seasons.
No takes yet. Share an insight, caveat, or question.
Zhan et al. (2019) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: