Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)

Detalhes bibliográficos
Autor(a) principal: Nwakuwa, Esther Promise
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/109203
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
id RCAP_49bc08546de2137ee779c2ba1bed93e7
oai_identifier_str oai:run.unl.pt:10362/109203
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)MalariaTyphoid feverDiseasesProbabilityARIMADissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementMalaria and typhoid fever are major causes of death in Sub-Saharan African countries. Due to the high risk of these two diseases in Sub-Saharan African countries and Nigeria in particular, this dissertation investigate the incidence of malaria and typhoid fever in Nigeria from January 2003 to December 2017 with the aim of identifying an appropriate statistical model that can be used to describe the trend of malaria and typhoid fever and make future projections of the two diseases in Nigeria which will serve as guide to policy makers in reducing the incidence of the two diseases. Several statistical methods were used in this research work. The Least Square Estimation was used to estimate the trend of both malaria and typhoid fever and the trend line equation obtained shows a gradual downward trend movement for both diseases. Arima modeling was used to describe the general behavior and pattern of occurrence of both diseases over the period under study and forecasts of future occurrence were made. SARIMA model was identified as the appropriate model for both malaria and typhoid fever. This result shows that the incidence of both diseases is influenced by seasonal factor. High occurrence of both diseases is expected around May to August according to the forecasts obtained in this study. The Chi-square test of association was used to ascertain if any form of association exists between gender and the diseases and the result obtained shows that there is no significant association between gender and the diseases. Correlation analysis conducted shows that there is a strong relationship between the two diseases.Mendes, Jorge MoraisRUNNwakuwa, Esther Promise2020-12-23T17:53:37Z2020-10-262020-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/109203TID:202569926enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:53:44Zoai:run.unl.pt:10362/109203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:41:26.587222Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
title Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
spellingShingle Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
Nwakuwa, Esther Promise
Malaria
Typhoid fever
Diseases
Probability
ARIMA
title_short Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
title_full Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
title_fullStr Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
title_full_unstemmed Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
title_sort Time series analysis on rate of malaria and typhoid fever: case study Nigeria (2003-2017)
author Nwakuwa, Esther Promise
author_facet Nwakuwa, Esther Promise
author_role author
dc.contributor.none.fl_str_mv Mendes, Jorge Morais
RUN
dc.contributor.author.fl_str_mv Nwakuwa, Esther Promise
dc.subject.por.fl_str_mv Malaria
Typhoid fever
Diseases
Probability
ARIMA
topic Malaria
Typhoid fever
Diseases
Probability
ARIMA
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2020
dc.date.none.fl_str_mv 2020-12-23T17:53:37Z
2020-10-26
2020-10-26T00:00:00Z
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 http://hdl.handle.net/10362/109203
TID:202569926
url http://hdl.handle.net/10362/109203
identifier_str_mv TID:202569926
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799138027625250816

Registros relacionados