Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil
Abstract Background Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. It is a disease known worldwide for its vulnerability factors, magnitude and mortality. The objective of the study was to analyze the spatial and temporal dynamics of TB in the area of social inequality i...
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| Format: | Article |
| Language: | English |
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BMC
2019-07-01
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| Series: | BMC Public Health |
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| Online Access: | http://link.springer.com/article/10.1186/s12889-019-7224-0 |
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| author | Shirley Verônica Melo Almeida Lima Allan Dantas dos Santos Andrezza Marques Duque Marco Aurélio de Oliveira Goes Marcus Valerius da Silva Peixoto Damião da Conceição Araújo Caíque Jordan Nunes Ribeiro Márcio Bezerra Santos Karina Conceição Gomes Machado de Araújo Marco Antônio Prado Nunes |
| author_facet | Shirley Verônica Melo Almeida Lima Allan Dantas dos Santos Andrezza Marques Duque Marco Aurélio de Oliveira Goes Marcus Valerius da Silva Peixoto Damião da Conceição Araújo Caíque Jordan Nunes Ribeiro Márcio Bezerra Santos Karina Conceição Gomes Machado de Araújo Marco Antônio Prado Nunes |
| author_sort | Shirley Verônica Melo Almeida Lima |
| collection | DOAJ |
| description | Abstract Background Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. It is a disease known worldwide for its vulnerability factors, magnitude and mortality. The objective of the study was to analyze the spatial and temporal dynamics of TB in the area of social inequality in northeast Brazil between the years 2001 and 2016. Methods An ecological time series study with the use of spatial analysis techniques was carried out from 2001 to 2016. The units of analysis were the 75 municipalities in the state of Sergipe. Data from the Notification of Injury Information System were used. For the construction of the maps, the cartographic base of the state of Sergipe, obtained at the Instituto Brasileiro de Geografia e Estatística, was used. Georeferenced data were analysed using TerraView 4.2.2 software (Instituto Nacional de Pesquisas Espaciais) and QGis 2.18.2 (Open Source Geospatial Foundation). Spatial analyses included the empirical Bayesian model and the global and local Moran indices. The time trend analyses were performed by the software Joinpoint Regression, Version 4.5.0.1, with the variables of sex, age, cure and abandonment. Results There was an increasing trend of tuberculosis cases in patients under 20 years old and 20–39 years old, especially in males. Cured cases showed a decreasing trend, and cases of treatment withdrawal were stationary. A spatial dependence was observed in almost all analysed territories but with different concentrations. Significant spatial correlations with the formation of clusters in the southeast and northeast of the state were observed. The probability of illness among municipalities was determined not to occur in a random way. Conclusion The identification of risk areas and priority groups can help health planning by refining the focus of attention to tuberculosis control. Understanding the epidemiological, spatial and temporal dynamics of tuberculosis can allow for improved targeting of strategies for disease prevention and control. |
| first_indexed | 2024-12-14T22:59:27Z |
| format | Article |
| id | doaj.art-617a9952a2c84fc69b402e884eede295 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-12-14T22:59:27Z |
| publishDate | 2019-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-617a9952a2c84fc69b402e884eede2952022-12-21T22:44:31ZengBMCBMC Public Health1471-24582019-07-011911910.1186/s12889-019-7224-0Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast BrazilShirley Verônica Melo Almeida Lima0Allan Dantas dos Santos1Andrezza Marques Duque2Marco Aurélio de Oliveira Goes3Marcus Valerius da Silva Peixoto4Damião da Conceição Araújo5Caíque Jordan Nunes Ribeiro6Márcio Bezerra Santos7Karina Conceição Gomes Machado de Araújo8Marco Antônio Prado Nunes9Program in Health Sciences, Federal University of SergipeNursing Department, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeDepartment of Health education, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeProgram in Health Sciences, Federal University of SergipeAbstract Background Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis. It is a disease known worldwide for its vulnerability factors, magnitude and mortality. The objective of the study was to analyze the spatial and temporal dynamics of TB in the area of social inequality in northeast Brazil between the years 2001 and 2016. Methods An ecological time series study with the use of spatial analysis techniques was carried out from 2001 to 2016. The units of analysis were the 75 municipalities in the state of Sergipe. Data from the Notification of Injury Information System were used. For the construction of the maps, the cartographic base of the state of Sergipe, obtained at the Instituto Brasileiro de Geografia e Estatística, was used. Georeferenced data were analysed using TerraView 4.2.2 software (Instituto Nacional de Pesquisas Espaciais) and QGis 2.18.2 (Open Source Geospatial Foundation). Spatial analyses included the empirical Bayesian model and the global and local Moran indices. The time trend analyses were performed by the software Joinpoint Regression, Version 4.5.0.1, with the variables of sex, age, cure and abandonment. Results There was an increasing trend of tuberculosis cases in patients under 20 years old and 20–39 years old, especially in males. Cured cases showed a decreasing trend, and cases of treatment withdrawal were stationary. A spatial dependence was observed in almost all analysed territories but with different concentrations. Significant spatial correlations with the formation of clusters in the southeast and northeast of the state were observed. The probability of illness among municipalities was determined not to occur in a random way. Conclusion The identification of risk areas and priority groups can help health planning by refining the focus of attention to tuberculosis control. Understanding the epidemiological, spatial and temporal dynamics of tuberculosis can allow for improved targeting of strategies for disease prevention and control.http://link.springer.com/article/10.1186/s12889-019-7224-0Spatial analysisPrevention and controlTuberculosisEpidemiologyTime series studies |
| spellingShingle | Shirley Verônica Melo Almeida Lima Allan Dantas dos Santos Andrezza Marques Duque Marco Aurélio de Oliveira Goes Marcus Valerius da Silva Peixoto Damião da Conceição Araújo Caíque Jordan Nunes Ribeiro Márcio Bezerra Santos Karina Conceição Gomes Machado de Araújo Marco Antônio Prado Nunes Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil BMC Public Health Spatial analysis Prevention and control Tuberculosis Epidemiology Time series studies |
| title | Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil |
| title_full | Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil |
| title_fullStr | Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil |
| title_full_unstemmed | Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil |
| title_short | Spatial and temporal analysis of tuberculosis in an area of social inequality in Northeast Brazil |
| title_sort | spatial and temporal analysis of tuberculosis in an area of social inequality in northeast brazil |
| topic | Spatial analysis Prevention and control Tuberculosis Epidemiology Time series studies |
| url | http://link.springer.com/article/10.1186/s12889-019-7224-0 |
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