Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter
The model successfully predicted the peak and magnitude of HFMD outbreaks occurring between June and December, closely matching the observed epidemic patterns. The model's efficacy in predicting epidemic trends and informing preventive strategies is reinforced by the insights gained from monthly variations in parameter estimates of HFMD transmission dynamics.
Authors
- Sieun Lee (ORCID: https://orcid.org/0000-0002-9959-6005)
- Sangil Kim (ORCID: https://orcid.org/0000-0002-4408-2904)
- Wasim Abbas (ORCID: https://orcid.org/0000-0002-1706-1462)
Institutions
- Busan National University of Education (KR)
- Kyungpook National University (KR)
- Pusan National University (KR)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1371/journal.pcbi.1012996
- Citations
- 1
- Primary Topic
- Viral Infections and Immunology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Research Foundation of Korea