Time series and spatial distribution of tuberculosis in Oyo state Nigeria

Detalhes bibliográficos
Autor(a) principal: Teibo, Titilade Kehinde Ayandeyi
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
Texto Completo: https://www.teses.usp.br/teses/disponiveis/22/22133/tde-31082023-092906/
Resumo: The virulence of Tuberculosis (TB) in the population makes it imperative to intensify studies on the disease caused by Mycobacterium tuberculosis. TB most frequently affects the lungs (pulmonary TB) and may also affect other organs (extra-pulmonary TB). There are few studies on TB using spatial and temporal approaches, especially in African countries. Therefore, the aim of the present study was to describe the epidemiological profile of TB and analyze the spatial distribution and temporal trend of TB incidence and mortality in Oyo state Nigeria from 2015-2019. The study comprises TB cases reported by the Oyo State Ministry of health between 2015 and 2019. The spatial analysis technique was applied to analyze the spatial distribution of incidence and mortality rate of TB. To identify areas with spatial dependence of TB, the Gi* technique was used through the ArcGis 10.5 software. The time series analysis technique was applied to assess the behavior of TB in Oyo state over the period studied. A total of 28,680 cases of pulmonary and extrapulmonary TB and 1,131 TB deaths were reported in all local governments of Oyo state between 2015 and 2019. The highest cases rate occurred in Ibadan South west local government (334 cases per 100,000), with the single local government area (LGA) having more than 10% cases of all 33 LGAs. Ido and OluyoleLGAs were hotspot regions for TB with a 99% confidence interval. The historical series of theTB incidence rate slightly increased between 2015 to 2017, with a sharp declinefrom then until 2019, but the temporal trend for the incidence of TB in the period under study decreased. While a slight increase in the TB mortality rate throughout the analyzed period wasobserved, the temporal trend of the event between 2015 and 2019 showed an increase. Advancing knowledge by highlighting areas of risk for the occurrence of TB (hotspots) and its relationship with social and economic inequality remains fundamental to theachieving the goals of public health actions. The results of the present study contributed to the knowledge of the epidemiological profile, spatial and temporal distribution, and areas with a higher risk of tuberculosis transmission in Oyo state and Nigeria as a whole. This information allows policymakers to target hotspot areas for intervention and disease prevention.
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spelling Time series and spatial distribution of tuberculosis in Oyo state NigeriaSérie temporal e distribuição espacial da tuberculose no estado de Oyo, NigériaAnálise espacialEpidemiologiaEpidemiologyEstado de OyoOyo stateSéries temporaisSpatial analysisTime seriesTuberculoseTuberculosisThe virulence of Tuberculosis (TB) in the population makes it imperative to intensify studies on the disease caused by Mycobacterium tuberculosis. TB most frequently affects the lungs (pulmonary TB) and may also affect other organs (extra-pulmonary TB). There are few studies on TB using spatial and temporal approaches, especially in African countries. Therefore, the aim of the present study was to describe the epidemiological profile of TB and analyze the spatial distribution and temporal trend of TB incidence and mortality in Oyo state Nigeria from 2015-2019. The study comprises TB cases reported by the Oyo State Ministry of health between 2015 and 2019. The spatial analysis technique was applied to analyze the spatial distribution of incidence and mortality rate of TB. To identify areas with spatial dependence of TB, the Gi* technique was used through the ArcGis 10.5 software. The time series analysis technique was applied to assess the behavior of TB in Oyo state over the period studied. A total of 28,680 cases of pulmonary and extrapulmonary TB and 1,131 TB deaths were reported in all local governments of Oyo state between 2015 and 2019. The highest cases rate occurred in Ibadan South west local government (334 cases per 100,000), with the single local government area (LGA) having more than 10% cases of all 33 LGAs. Ido and OluyoleLGAs were hotspot regions for TB with a 99% confidence interval. The historical series of theTB incidence rate slightly increased between 2015 to 2017, with a sharp declinefrom then until 2019, but the temporal trend for the incidence of TB in the period under study decreased. While a slight increase in the TB mortality rate throughout the analyzed period wasobserved, the temporal trend of the event between 2015 and 2019 showed an increase. Advancing knowledge by highlighting areas of risk for the occurrence of TB (hotspots) and its relationship with social and economic inequality remains fundamental to theachieving the goals of public health actions. The results of the present study contributed to the knowledge of the epidemiological profile, spatial and temporal distribution, and areas with a higher risk of tuberculosis transmission in Oyo state and Nigeria as a whole. This information allows policymakers to target hotspot areas for intervention and disease prevention.A virulência da Tuberculose (TB) na população torna imperativa a intensificação dos estudos sobre a doença, causada pelo Mycobacterium tuberculosis, a TB acomete mais frequentemente os pulmões (TB pulmonar), podendo afetar outros órgãos (TB extrapulmonar). Existem poucos estudos sobre a TB com abordagens espaciais e temporais, especialmente nos países africanos. Por conseguinte, o objetivo do presente estudo foi descrever o perfil epidemiológico da TB e analisar a distribuição espacial e a tendência temporal da incidência e mortalidade da TB no estado de Oyo, na Nigéria, de 2015 a 2019. O estudo inclui casos de TB notificados pelo Ministério da Saúde do Estado de Oyo entre 2015 e 2019. A técnica de análise espacial foi aplicada para analisar a distribuição espacial da taxa de incidência e mortalidade da TB. Para identificar áreas com dependência espacial da TB, foi utilizada a técnica Gi* através do software ArcGis 10.5. A técnica de análise de séries temporais foi aplicada e utilizada para avaliar o comportamento da TB no estado de Oyo durante o período estudado. Foram registados 28 680 casos de TB pulmonar e extrapulmonar e 1 131 mortes por TB em todos os governos locais do estado de Oyo entre 2015 e 2019. A taxa mais alta de casos ocorreu no governo local do sudoeste de Ibadan (334 casos por 100.000), com a única área de governo local (AGL) tendo mais de 10% de casos de todas as 33 AGLs. As AGLs de Ido e Oluyole foram regiões de hotspot para TB com intervalo de confiança de 99%. A série histórica da taxa de incidência de TB aumentou ligeiramente entre os anos de 2015 e 2017, com um declínio acentuado desde então até 2019, mas a tendência temporal da incidência de TB no período em estudo diminuiu. Embora tenha sido observado um leve aumento na taxa de mortalidade por TB durante todo o período analisado, também podemos ver que a tendência temporal do evento entre 2015 e 2019 está aumentando. O avanço do conhecimento ao destacar áreas de risco para a ocorrência da TB (hotspots) e sua relação com a desigualdade social e econômica continua sendo fundamental para o alcance dos objetivos das ações de saúde pública. Os resultados do presente estudo contribuíram para o conhecimento do perfil epidemiológico, da distribuição espacial e temporal e das áreas com maior risco de transmissão da tuberculose no estado de Oyo e na Nigéria como um todo. Isso possibilita que os formuladores de políticas visem às áreas de maior risco para intervenção e prevenção da doença.Biblioteca Digitais de Teses e Dissertações da USPArcêncio, Ricardo AlexandreTeibo, Titilade Kehinde Ayandeyi2023-06-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/22/22133/tde-31082023-092906/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2023-09-18T15:45:03Zoai:teses.usp.br:tde-31082023-092906Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212023-09-18T15:45:03Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Time series and spatial distribution of tuberculosis in Oyo state Nigeria
Série temporal e distribuição espacial da tuberculose no estado de Oyo, Nigéria
title Time series and spatial distribution of tuberculosis in Oyo state Nigeria
spellingShingle Time series and spatial distribution of tuberculosis in Oyo state Nigeria
Teibo, Titilade Kehinde Ayandeyi
Análise espacial
Epidemiologia
Epidemiology
Estado de Oyo
Oyo state
Séries temporais
Spatial analysis
Time series
Tuberculose
Tuberculosis
title_short Time series and spatial distribution of tuberculosis in Oyo state Nigeria
title_full Time series and spatial distribution of tuberculosis in Oyo state Nigeria
title_fullStr Time series and spatial distribution of tuberculosis in Oyo state Nigeria
title_full_unstemmed Time series and spatial distribution of tuberculosis in Oyo state Nigeria
title_sort Time series and spatial distribution of tuberculosis in Oyo state Nigeria
author Teibo, Titilade Kehinde Ayandeyi
author_facet Teibo, Titilade Kehinde Ayandeyi
author_role author
dc.contributor.none.fl_str_mv Arcêncio, Ricardo Alexandre
dc.contributor.author.fl_str_mv Teibo, Titilade Kehinde Ayandeyi
dc.subject.por.fl_str_mv Análise espacial
Epidemiologia
Epidemiology
Estado de Oyo
Oyo state
Séries temporais
Spatial analysis
Time series
Tuberculose
Tuberculosis
topic Análise espacial
Epidemiologia
Epidemiology
Estado de Oyo
Oyo state
Séries temporais
Spatial analysis
Time series
Tuberculose
Tuberculosis
description The virulence of Tuberculosis (TB) in the population makes it imperative to intensify studies on the disease caused by Mycobacterium tuberculosis. TB most frequently affects the lungs (pulmonary TB) and may also affect other organs (extra-pulmonary TB). There are few studies on TB using spatial and temporal approaches, especially in African countries. Therefore, the aim of the present study was to describe the epidemiological profile of TB and analyze the spatial distribution and temporal trend of TB incidence and mortality in Oyo state Nigeria from 2015-2019. The study comprises TB cases reported by the Oyo State Ministry of health between 2015 and 2019. The spatial analysis technique was applied to analyze the spatial distribution of incidence and mortality rate of TB. To identify areas with spatial dependence of TB, the Gi* technique was used through the ArcGis 10.5 software. The time series analysis technique was applied to assess the behavior of TB in Oyo state over the period studied. A total of 28,680 cases of pulmonary and extrapulmonary TB and 1,131 TB deaths were reported in all local governments of Oyo state between 2015 and 2019. The highest cases rate occurred in Ibadan South west local government (334 cases per 100,000), with the single local government area (LGA) having more than 10% cases of all 33 LGAs. Ido and OluyoleLGAs were hotspot regions for TB with a 99% confidence interval. The historical series of theTB incidence rate slightly increased between 2015 to 2017, with a sharp declinefrom then until 2019, but the temporal trend for the incidence of TB in the period under study decreased. While a slight increase in the TB mortality rate throughout the analyzed period wasobserved, the temporal trend of the event between 2015 and 2019 showed an increase. Advancing knowledge by highlighting areas of risk for the occurrence of TB (hotspots) and its relationship with social and economic inequality remains fundamental to theachieving the goals of public health actions. The results of the present study contributed to the knowledge of the epidemiological profile, spatial and temporal distribution, and areas with a higher risk of tuberculosis transmission in Oyo state and Nigeria as a whole. This information allows policymakers to target hotspot areas for intervention and disease prevention.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-07
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