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dc.contributor.authorLekdee, Krisadaen_US
dc.contributor.authorกฤษฎา เหล็กดีen_US
dc.date.accessioned2020-01-16T08:58:14Z
dc.date.available2020-01-16T08:58:14Z
dc.date.issued2020-01-16
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/2999
dc.descriptionรายงานการวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2560en_US
dc.description.abstractThe objectives of this research are to propose a model for risk assessment of Measles and Rubella morbidity in Thailand, to investigate factors influencing on the Measles and Rubella morbidity rates, and to construct the disease maps of those two diseases. The generalized linear mixed model (GLMM) in which the responses have a Poisson distribution and the spatial effects follow a multivariate conditional autoregressive model (MCAR) are adopted. The dependent variables are the number of Measles and Rubella disease patients in each province. The factors considered are average temperature, the amount of rainfall and regions. The results show that the temperature, rainfall and regions influence on the Measles and Rubella morbidity rates. Measles and Rubella maps are easy for readers to see which areas are at high risk and to compare the morbidity rates among those areas by looking at those different colors.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectGeneralized Linear Mixed Modelen_US
dc.subjectDisease mapen_US
dc.subjectMeasles and Rubellaen_US
dc.subjectแผนที่โรคen_US
dc.subjectโรคหัดเยอรมันen_US
dc.subjectโรคหัดen_US
dc.titleRisk assessment for measles and rubella in Thailand using multivariate poisson generalized linear mixed modelsen_US
dc.title.alternativeการประเมินความเสี่ยงโรคหัดและโรคหัดเยอรมันในประเทศไทยด้วยตัวแบบผสมเชิงเส้นวางนัยทั่วไป ที่มีการแจกแจงปัวซงพหุตัวแปรen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorkrisada@hotmail.comen_US


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