Publication:
Hand, Foot, and Mouth Disease in Thailand: A Comprehensive Modelling of Epidemic Dynamics

dc.contributor.authorSuraj Vermaen_US
dc.contributor.authorM. A. Razzaqueen_US
dc.contributor.authorU. Sangtongdeeen_US
dc.contributor.authorC. Arpnikanondten_US
dc.contributor.authorB. Tassaneetrithepen_US
dc.contributor.authorD. Arthanen_US
dc.contributor.authorC. Paratthakonkunen_US
dc.contributor.authorN. Soonthornworasirien_US
dc.contributor.otherFaculty of Tropical Medicine, Mahidol Universityen_US
dc.contributor.otherTeesside Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherFaculty of Medicine Siriraj Hospital, Mahidol Universityen_US
dc.contributor.otherKing Mongkut's University of Technology Thonburien_US
dc.date.accessioned2022-08-04T08:14:55Z
dc.date.available2022-08-04T08:14:55Z
dc.date.issued2021-01-01en_US
dc.description.abstractHand, foot, and mouth disease (HFMD) is a highly contagious disease with several outbreaks in Asian-Pacific countries, including Thailand. With such epidemic characteristics and potential economic impact, HFMD is a significant public health issue in Thailand. Generally, contagious/infectious diseases' transmission dynamics vary across geolocations due to different socioeconomic situations, demography, and lifestyles. Hence, a nationwide comprehensive model of the disease's epidemic dynamics can provide information to understand better and predict a potential outbreak of this disease and efficiently and effectively manage its impact. However, there is no nationwide and comprehensive (i.e., the inclusion of reinfections in the model) model of HFDM dynamics for Thailand. This paper has endeavoured to promote nationwide comprehensive modelling of HFMD's epidemic dynamics and comprehend the reinfection cases. We have formulated the SEIRS epidemiological model with dynamic vitals, including reinfections, to explore this disease's prevalence. We also introduced periodic seasonality to reproduce the seasonal effect. The pattern of spread of this disease is uneven across the provinces in Thailand, so we used K-means clustering algorithm to cluster those provinces into three groups (i.e., highly, moderately, and least affected levels). We also analysed health records collected from district hospitals, which suggest significant reinfection cases. For example, we found that 11% (approximately) of infectious patients return for repeat treatment within the study period. We also performed sensitivity analysis which indicates that the basic reproduction number (R0) is sensitive to the rate of transmission (β) and the rate at which infected people recover (γ). By fitting the model with HFMD confirmed data for the provinces in each cluster, the basic reproduction number (R0) was estimated to be 2.643, 1.91, and 3.246 which are greater than 1. Based on this high R0, this study recommends that this disease will persist in the coming years under identical cultural and environmental conditions.en_US
dc.identifier.citationComputational and Mathematical Methods in Medicine. Vol.2021, (2021)en_US
dc.identifier.doi10.1155/2021/6697522en_US
dc.identifier.issn17486718en_US
dc.identifier.issn1748670Xen_US
dc.identifier.other2-s2.0-85102646282en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/76398
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102646282&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectImmunology and Microbiologyen_US
dc.subjectMathematicsen_US
dc.titleHand, Foot, and Mouth Disease in Thailand: A Comprehensive Modelling of Epidemic Dynamicsen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102646282&origin=inwarden_US

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