The dynamic model to infection rate based on pooled samples

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dc.contributor.advisor1Santos Júnior, James Dean Oliveira dos
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/0606640600434171por
dc.contributor.advisor1orcidhttps://orcid.org/0000-0002-0627-6126por
dc.contributor.referee1Rifo, Laura Leticia Ramos
dc.contributor.referee1Latteshttp://lattes.cnpq.br/7294003699266180por
dc.contributor.referee1orcidhttps://orcid.org/0000-0002-1579-8073por
dc.contributor.referee2Gonçalves, Kelly Cristina Mota
dc.contributor.referee2Latteshttp://lattes.cnpq.br/1715326722961736por
dc.creatorMartins, Paola da Silva
dc.creator.Latteshttp://lattes.cnpq.br/9613601561308034por
dc.date.issued2020-05-08
dc.description.abstractIn this thesis we will work on the real time estimation of infection rates in vectors. It uses the dynamic generalized linear model to estimate the rate of infection of theses vector that are put in different pools sizes. The proposed methodology used the data of the mosquitoes tested weekly during the months of June through October referring to the period of 2012 to 2019. These mosquitoes were taken from the Department of Health from Rhode Island, in the United States. The model found had a good adherence to the aforementioned data.eng
dc.description.resumoIn this thesis we will work on the real time estimation of infection rates in vectors. It uses the dynamic generalized linear model to estimate the rate of infection of theses vector that are put in different pools sizes. The proposed methodology used the data of the mosquitoes tested weekly during the months of June through October referring to the period of 2012 to 2019. These mosquitoes were taken from the Department of Health from Rhode Island, in the United States. The model found had a good adherence to the aforementioned data.por
dc.description.sponsorship*por
dc.formatapplication/pdf*
dc.identifier.citationMARTINS, Paola da Silva. The dynamic model to infection rate based on pooled samples. 2020. 56 f. Dissertação (Mestrado em Matemática) - Universidade Federal do Amazonas, Manaus, 2020.por
dc.identifier.urihttps://tede.ufam.edu.br/handle/tede/8167
dc.languageengpor
dc.publisherUniversidade Federal do Amazonaspor
dc.publisher.countryBrasilpor
dc.publisher.departmentInstituto de Ciências Exataspor
dc.publisher.initialsUFAMpor
dc.publisher.programPrograma de Pós-graduação em Matemáticapor
dc.rightsAcesso Abertopor
dc.subjectDynamic linear modelseng
dc.subjectInfection rates in vectorseng
dc.subjectArboviruseng
dc.subjectDisease controleng
dc.subjectEpidemiological controleng
dc.subject.cnpqCIÊNCIAS EXATAS E DA TERRApor
dc.subject.userDynamic Generalized Linear Modeleng
dc.subject.userWest Nileeng
dc.subject.userBeta Distributioneng
dc.subject.userDiseaseeng
dc.subject.userEmpirical Bayeseng
dc.thumbnail.urlhttps://tede.ufam.edu.br//retrieve/44501/Disserta%c3%a7%c3%a3o_PaolaMartins_PPGM.pdf.jpg*
dc.titleThe dynamic model to infection rate based on pooled samplespor
dc.typeDissertaçãopor

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