The dynamic model to infection rate based on pooled samples
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFAM |
Texto Completo: | https://tede.ufam.edu.br/handle/tede/8167 |
Resumo: | In 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. |
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The dynamic model to infection rate based on pooled samplesDynamic linear modelsInfection rates in vectorsArbovirusDisease controlEpidemiological controlCIÊNCIAS EXATAS E DA TERRADynamic Generalized Linear ModelWest NileBeta DistributionDiseaseEmpirical BayesIn 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.In 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.*Universidade Federal do AmazonasInstituto de Ciências ExatasBrasilUFAMPrograma de Pós-graduação em MatemáticaSantos Júnior, James Dean Oliveira doshttp://lattes.cnpq.br/0606640600434171Rifo, Laura Leticia Ramoshttp://lattes.cnpq.br/7294003699266180Gonçalves, Kelly Cristina Motahttp://lattes.cnpq.br/1715326722961736Martins, Paola da Silvahttp://lattes.cnpq.br/96136015613080342021-03-17T20:25:21Z2020-05-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfMARTINS, 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.https://tede.ufam.edu.br/handle/tede/8167enginfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFAMinstname:Universidade Federal do Amazonas (UFAM)instacron:UFAM2021-03-18T05:03:40Zoai:https://tede.ufam.edu.br/handle/:tede/8167Biblioteca Digital de Teses e Dissertaçõeshttp://200.129.163.131:8080/PUBhttp://200.129.163.131:8080/oai/requestddbc@ufam.edu.br||ddbc@ufam.edu.bropendoar:65922021-03-18T05:03:40Biblioteca Digital de Teses e Dissertações da UFAM - Universidade Federal do Amazonas (UFAM)false |
dc.title.none.fl_str_mv |
The dynamic model to infection rate based on pooled samples |
title |
The dynamic model to infection rate based on pooled samples |
spellingShingle |
The dynamic model to infection rate based on pooled samples Martins, Paola da Silva Dynamic linear models Infection rates in vectors Arbovirus Disease control Epidemiological control CIÊNCIAS EXATAS E DA TERRA Dynamic Generalized Linear Model West Nile Beta Distribution Disease Empirical Bayes |
title_short |
The dynamic model to infection rate based on pooled samples |
title_full |
The dynamic model to infection rate based on pooled samples |
title_fullStr |
The dynamic model to infection rate based on pooled samples |
title_full_unstemmed |
The dynamic model to infection rate based on pooled samples |
title_sort |
The dynamic model to infection rate based on pooled samples |
author |
Martins, Paola da Silva |
author_facet |
Martins, Paola da Silva http://lattes.cnpq.br/9613601561308034 |
author_role |
author |
author2 |
http://lattes.cnpq.br/9613601561308034 |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Santos Júnior, James Dean Oliveira dos http://lattes.cnpq.br/0606640600434171 Rifo, Laura Leticia Ramos http://lattes.cnpq.br/7294003699266180 Gonçalves, Kelly Cristina Mota http://lattes.cnpq.br/1715326722961736 |
dc.contributor.author.fl_str_mv |
Martins, Paola da Silva http://lattes.cnpq.br/9613601561308034 |
dc.subject.por.fl_str_mv |
Dynamic linear models Infection rates in vectors Arbovirus Disease control Epidemiological control CIÊNCIAS EXATAS E DA TERRA Dynamic Generalized Linear Model West Nile Beta Distribution Disease Empirical Bayes |
topic |
Dynamic linear models Infection rates in vectors Arbovirus Disease control Epidemiological control CIÊNCIAS EXATAS E DA TERRA Dynamic Generalized Linear Model West Nile Beta Distribution Disease Empirical Bayes |
description |
In 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. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-08 2021-03-17T20:25:21Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MARTINS, 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. https://tede.ufam.edu.br/handle/tede/8167 |
identifier_str_mv |
MARTINS, 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. |
url |
https://tede.ufam.edu.br/handle/tede/8167 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal do Amazonas Instituto de Ciências Exatas Brasil UFAM Programa de Pós-graduação em Matemática |
publisher.none.fl_str_mv |
Universidade Federal do Amazonas Instituto de Ciências Exatas Brasil UFAM Programa de Pós-graduação em Matemática |
dc.source.none.fl_str_mv |
reponame:Biblioteca Digital de Teses e Dissertações da UFAM instname:Universidade Federal do Amazonas (UFAM) instacron:UFAM |
instname_str |
Universidade Federal do Amazonas (UFAM) |
instacron_str |
UFAM |
institution |
UFAM |
reponame_str |
Biblioteca Digital de Teses e Dissertações da UFAM |
collection |
Biblioteca Digital de Teses e Dissertações da UFAM |
repository.name.fl_str_mv |
Biblioteca Digital de Teses e Dissertações da UFAM - Universidade Federal do Amazonas (UFAM) |
repository.mail.fl_str_mv |
ddbc@ufam.edu.br||ddbc@ufam.edu.br |
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1809732041835544576 |