-
ORIGINAL ARTICLE
Geospatialization of tuberculosis and income transfer programs among Indigenous peoples in an endemic territory
- Ingrid Bentes Lima
, - Laura Maria Vidal Nogueira ,
- Lidiane de Nazaré Mota Trindade ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André , [ ... ],
- Ana Inês Sousa
11-28-2023
Abstract
ORIGINAL ARTICLEGeospatialization of tuberculosis and income transfer programs among Indigenous peoples in an endemic territory
Revista Brasileira de Enfermagem. 2023;76(Suppl 2):e20220216
11-28-2023DOI 10.1590/0034-7167-2022-0216
- Ingrid Bentes Lima ,
- Laura Maria Vidal Nogueira ,
- Lidiane de Nazaré Mota Trindade ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André ,
- Ana Inês Sousa
Views0ABSTRACT
Objective:
To analyze the spatial pattern of tuberculosis in Indigenous peoples from the State of Pará and its correlation with income transfer.
Methods:
Ecological study, with 340 cases reported in Indigenous peoples in the State of Pará, Brazil, in the period 2016-2020. The study performed a descriptive analysis and calculation of incidence rates with smoothing by the local empirical Bayesian method. The Global Moran index assessed the autocorrelation of the rates with income transfer data, p<0,05.
Results:
The Marajó and metropolitan mesoregions of Belém had the highest tuberculosis rates, and a reduced number of people benefited from income transfer (high-low correlation). The study identified high rates, and a significant number of people benefited from financial aid (high correlation high), I=0.399, p=0.027 in the Southwest.
Conclusions:
The spatial autocorrelation between tuberculosis and access to income transfer programs constitutes a relevant subsidy for the formulation of social protection policies and may impact the disease control actions in Indigenous territories, valuing the epidemiological heterogeneity identified in the mesoregions.
Keywords:Geographic Information SystemsGovernment ProgramsHealth of Indigenous PeoplesSpatial AnalysisTuberculosisSee moreViews0
Abstract
ORIGINAL ARTICLEGeospatialization of tuberculosis and income transfer programs among Indigenous peoples in an endemic territory
Revista Brasileira de Enfermagem. 2023;76(Suppl 2):e20220216
11-28-2023DOI 10.1590/0034-7167-2022-0216
- Ingrid Bentes Lima ,
- Laura Maria Vidal Nogueira ,
- Lidiane de Nazaré Mota Trindade ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André ,
- Ana Inês Sousa
Views0ABSTRACT
Objective:
To analyze the spatial pattern of tuberculosis in Indigenous peoples from the State of Pará and its correlation with income transfer.
Methods:
Ecological study, with 340 cases reported in Indigenous peoples in the State of Pará, Brazil, in the period 2016-2020. The study performed a descriptive analysis and calculation of incidence rates with smoothing by the local empirical Bayesian method. The Global Moran index assessed the autocorrelation of the rates with income transfer data, p<0,05.
Results:
The Marajó and metropolitan mesoregions of Belém had the highest tuberculosis rates, and a reduced number of people benefited from income transfer (high-low correlation). The study identified high rates, and a significant number of people benefited from financial aid (high correlation high), I=0.399, p=0.027 in the Southwest.
Conclusions:
The spatial autocorrelation between tuberculosis and access to income transfer programs constitutes a relevant subsidy for the formulation of social protection policies and may impact the disease control actions in Indigenous territories, valuing the epidemiological heterogeneity identified in the mesoregions.
Keywords:Geographic Information SystemsGovernment ProgramsHealth of Indigenous PeoplesSpatial AnalysisTuberculosisSee more
- Ingrid Bentes Lima
-
ORIGINAL ARTICLE
Spatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control
- Fernanda de Castro Lopes ,
- Giana Gislanne da Silva de Sousa ,
- Weslei Melo da Silva ,
- Ana Cristina Pereira de Jesus Costa ,
- Floriacy Stabnow Santos , [ ... ],
- Marcelino Santos Neto
06-18-2021
Abstract
ORIGINAL ARTICLESpatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control
Revista Brasileira de Enfermagem. 2021;74(3):e20201101
06-18-2021DOI 10.1590/0034-7167-2020-1101
- Fernanda de Castro Lopes ,
- Giana Gislanne da Silva de Sousa ,
- Weslei Melo da Silva ,
- Ana Cristina Pereira de Jesus Costa ,
- Floriacy Stabnow Santos ,
- Lívia Maia Pascoal ,
- Marcelino Santos Neto
Views0ABSTRACT
Objectives:
to analyze the spatial-temporal distribution of leprosy in a priority municipality for leprosy control.
Methods:
ecological study, conducted in a city in the Northeast of Brazil, whose analysis units were census sectors. The study used compulsory notification data for cases registered between 2008 and 2017. TerraView software and the Batch Geocode tool was used for geocoding. The detection of spatial-temporal agglomerations of high relative risks was done by scanning statistics.
Results:
the spatial-temporal distribution of cases was heterogeneous, creating four agglomerations of high relative risks in the urban area of the municipality between the years 2008 and 2012; and annual prevalence rates classified from high to hyperendemic.
Conclusions:
areas of higher risk and concentration of the disease in space-time were linked to the characteristics of high population density and social vulnerability of these spaces, raising the prioritization of health professionals’ actions, systems, and services for control, and monitoring the disease.
Keywords:Geographic Information SystemsHealth Information SystemsLeprosyResidence CharacteristicsSpatial-Temporal AnalysisSee moreViews0Abstract
ORIGINAL ARTICLESpatial-temporal analysis of leprosy in a priority Brazilian northeast municipality for disease control
Revista Brasileira de Enfermagem. 2021;74(3):e20201101
06-18-2021DOI 10.1590/0034-7167-2020-1101
- Fernanda de Castro Lopes ,
- Giana Gislanne da Silva de Sousa ,
- Weslei Melo da Silva ,
- Ana Cristina Pereira de Jesus Costa ,
- Floriacy Stabnow Santos ,
- Lívia Maia Pascoal ,
- Marcelino Santos Neto
Views0ABSTRACT
Objectives:
to analyze the spatial-temporal distribution of leprosy in a priority municipality for leprosy control.
Methods:
ecological study, conducted in a city in the Northeast of Brazil, whose analysis units were census sectors. The study used compulsory notification data for cases registered between 2008 and 2017. TerraView software and the Batch Geocode tool was used for geocoding. The detection of spatial-temporal agglomerations of high relative risks was done by scanning statistics.
Results:
the spatial-temporal distribution of cases was heterogeneous, creating four agglomerations of high relative risks in the urban area of the municipality between the years 2008 and 2012; and annual prevalence rates classified from high to hyperendemic.
Conclusions:
areas of higher risk and concentration of the disease in space-time were linked to the characteristics of high population density and social vulnerability of these spaces, raising the prioritization of health professionals’ actions, systems, and services for control, and monitoring the disease.
Keywords:Geographic Information SystemsHealth Information SystemsLeprosyResidence CharacteristicsSpatial-Temporal AnalysisSee more
- Fernanda de Castro Lopes
-
ORIGINAL ARTICLE
Spatial patterns of multidrug-resistant tuberculosis: correlation with sociodemographic variables and type of notification
- Ingrid Bentes Lima ,
- Laura Maria Vidal Nogueira ,
- Ricardo José de Paula Souza e Guimarães ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André , [ ... ],
- Perla Katheleen Valente Corrêa
10-19-2020
Abstract
ORIGINAL ARTICLESpatial patterns of multidrug-resistant tuberculosis: correlation with sociodemographic variables and type of notification
Revista Brasileira de Enfermagem. 2020;73(suppl 5):e20190845
10-19-2020DOI 10.1590/0034-7167-2019-0845
- Ingrid Bentes Lima ,
- Laura Maria Vidal Nogueira ,
- Ricardo José de Paula Souza e Guimarães ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André ,
- Paula Daniella de Abreu ,
- Perla Katheleen Valente Corrêa
Views0ABSTRACT
Objective:
Correlate the cases of multidrug-resistant tuberculosis and its spatial patterns with the type of notification and sociodemographic variables.
Method:
Ecological study carried out in the municipality of Belém, with 77 cases of multidrug-resistant tuberculosis registered in the Special Treatment Information System for Tuberculosis, between 2012 and 2016. For analysis, the data was debugged followed by geo-referencing in ArcGis 10.3 and Terra View 4.2.2. To relate the cases with the type of notification, the BioEstat 5.4 software was used, with a significance level of 95%.
Results:
Of the total, 40 (52%) were new cases; 27 (35%), relapses; and ten (13%) were re-enrolled after leaving. Multidrug-resistant tuberculosis was randomly distributed and related to income, household, territorial cluster and water supply. There was a concentration of cases in two administrative districts, corresponding to 28.5% and 27.3% of the total, with a median Sociodemographic Index.
Conclusion:
Behavior of multidrug-resistant tuberculosis influenced by sociodemographic indicators.
Keywords:EpidemiologyGeographic Information SystemsMultidrug-Resistant TuberculosisPublic HealthSpatial AnalysisSee moreViews0Abstract
ORIGINAL ARTICLESpatial patterns of multidrug-resistant tuberculosis: correlation with sociodemographic variables and type of notification
Revista Brasileira de Enfermagem. 2020;73(suppl 5):e20190845
10-19-2020DOI 10.1590/0034-7167-2019-0845
- Ingrid Bentes Lima ,
- Laura Maria Vidal Nogueira ,
- Ricardo José de Paula Souza e Guimarães ,
- Ivaneide Leal Ataide Rodrigues ,
- Suzana Rosa André ,
- Paula Daniella de Abreu ,
- Perla Katheleen Valente Corrêa
Views0ABSTRACT
Objective:
Correlate the cases of multidrug-resistant tuberculosis and its spatial patterns with the type of notification and sociodemographic variables.
Method:
Ecological study carried out in the municipality of Belém, with 77 cases of multidrug-resistant tuberculosis registered in the Special Treatment Information System for Tuberculosis, between 2012 and 2016. For analysis, the data was debugged followed by geo-referencing in ArcGis 10.3 and Terra View 4.2.2. To relate the cases with the type of notification, the BioEstat 5.4 software was used, with a significance level of 95%.
Results:
Of the total, 40 (52%) were new cases; 27 (35%), relapses; and ten (13%) were re-enrolled after leaving. Multidrug-resistant tuberculosis was randomly distributed and related to income, household, territorial cluster and water supply. There was a concentration of cases in two administrative districts, corresponding to 28.5% and 27.3% of the total, with a median Sociodemographic Index.
Conclusion:
Behavior of multidrug-resistant tuberculosis influenced by sociodemographic indicators.
Keywords:EpidemiologyGeographic Information SystemsMultidrug-Resistant TuberculosisPublic HealthSpatial AnalysisSee more
- Ingrid Bentes Lima
Geographic Information Systems Archives - Page 2 of 3 - Revista Brasileira de Enfermagem
