Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012)

Yamamura, Mellina; Freitas, Isabela Moreira de; Neto, Marcelino; Neto, Francisco Chiaravalloti; Popolin, Marcela Antunes Paschoal; Arroyo, Luíz Henrique; Rodrigues, Ludmila Barbosa Bandeira; Crispim, Juliane Almeida; Arcêncio, Ricardo Alexandre

doi:10.1590/s1518-8787.2016050006049

Cited by 17 publications

(17 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several studies have been conducted using spatial and temporal cluster analysis applied to TB control, in countries such as Brazil, 38 China 19 or Spain, 39 and the results are in line with what we observed in our study. That spatial and temporal cluster analysis applied to TB control and elimination can help to estimate periods and geographic areas at risk and provides useful information for the development of health policies.…”

Section: Discussionsupporting

confidence: 92%

Space–time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies

Santos

Arcêncio

et al. 2020

European Journal of Public Health

View full text Add to dashboard Cite

Background Tuberculosis (TB) causes pressure on healthcare resources, especially in terms of hospital admissions, despite being considered an ambulatory care-sensitive condition for which timely and effective care in ambulatory setting could prevent the need for hospitalization. Our objectives were to describe the spatial and temporal variation in pulmonary tuberculosis (PTB) hospitalizations, identify critical geographic areas at municipality level and characterize clusters of PTB hospitalizations to help the development of tailored disease management strategies that could improve TB control. Methods Ecologic study using sociodemographic, geographical and clinical information of PTB hospitalization cases from continental Portuguese public hospitals, between 2002 and 2016. Descriptive statistics, spatiotemporal cluster analysis and temporal trends were conducted. Results The space–time analysis identified five clusters of higher rates of PTB hospitalizations (2002–16), including the two major cities in the country (Lisboa and Porto). Globally, we observed a −7.2% mean annual percentage change in rate with only one of the identified clusters (out of six) with a positive trend (+4.34%). In the more recent period (2011–16) was obtained a mean annual percentage change in rate of −8.12% with only one cluster identified with an increase trend (+9.53%). Conclusions Our results show that space–time clustering and temporal trends analysis can be an invaluable resource to monitor the dynamic of the disease and contribute to the design of more effective, focused interventions. Interventions such as enhancing the detection of active and latent infection, improving monitoring and evaluation of treatment outcomes or adjusting the network of healthcare providers should be tailored to the specific needs of the critical areas identified.

show abstract

Section: Discussionsupporting

confidence: 92%

Space–time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies

Santos

Arcêncio

et al. 2020

European Journal of Public Health

View full text Add to dashboard Cite

show abstract

“…21 The epidemiological portrait that is characterized in the Northeast, the region of the country with the highest spatial distribution and the highest incidence rates of the disease, showed the incipience of health services, such as difficulty of access, which leads to late diagnosis and underreporting. 22 It is similar to the concentration of reported cases in the municipalities with the highest indexes to the concentration of the surrounding municipalities, and this fact can be justified by the hypothesis of the presence of similar sociodemographic characteristics, which indicates greater vulnerability to the incidence of TB in the adolescent population.…”

Section: Resultssupporting

confidence: 69%

Spatial-temporal pattern of tuberculosis in adolescents

Abreu¹,

Lúcio²,

Bezerra³

et al. 2020

Rev enferm UFPE on line.

View full text Add to dashboard Cite

Objetivo: analisar o padrão espaço-temporal dos casos notificados de tuberculose em adolescentes. Método: trata-se de um estudo ecológico desenvolvido a partir dos casos de tuberculose em adolescentes. Obtiveram-se a correlação temporal entre as taxas brutas de incidência da tuberculose e o ano de ocorrência segundo o coeficiente de correlação linear de Pearson e a autocorrelação espacial pelo índice de Moran. Realizou-se a análise no programa TerraView, versão 4.2.2. Resultados: revela-se que o Índice de Moran apresentou associação espacial. Levantaram-se correlação linear negativa moderada e baixa entre as variáveis representadas pelas taxas brutas e ano de ocorrência, segundo faixas etárias, dos dez aos 14 e dos 15 aos 19 anos, respectivamente. Conclusão: indica-se, pela autocorrelação espacial, a existência de municípios prioritários para intervenção e planejamento de ações da Enfermagem. Descritores: Tuberculose; Educação em Saúde; Análise Espacial; Adolescente; Enfermagem; Doenças Negligenciadas.AbstractObjective: to analyze the spatial-temporal pattern of notified cases of tuberculosis in adolescents. Method: this is an ecological study developed from tuberculosis cases in adolescents. The temporal correlation between the crude tuberculosis incidence rates and the year of occurrence was obtained according to Pearson's linear correlation coefficient and the spatial autocorrelation by the Moran index. The analysis was performed using the TerraView program, version 4.2.2. Results: it is revealed that the Moran Index showed a spatial association. A moderate and low negative linear correlation was found between the variables represented by the gross rates and year of occurrence, according to age groups, from 10 to 14 and from 15 to 19 years, respectively. Conclusion: the existence of priority municipalities for nursing intervention planning and actions is indicated by spatial autocorrelation.Descriptors: Tuberculosis; Health Education; Spatial Analysis; Adolescent; Nursing; Neglected Diseases.ResumenObjetivo: analizar el patrón espacio-temporal de casos notificados de tuberculosis en adolescentes. Método: estudio ecológico, desarrollado a partir de casos de tuberculosis en adolescentes. La correlación temporal entre las tasas brutas de incidencia de tuberculosis y el año de ocurrencia se obtuvo de acuerdo con el coeficiente de correlación lineal de Pearson y la autocorrelación espacial utilizando el índice de Moran. El análisis se realizó con el programa TerraView, versión 4.2.2. Resultados: el Índice de Moran mostró una asociación espacial. Se obtuvo una correlación lineal negativa moderada y baja entre las variables representadas por las tasas brutas y el año de ocurrencia, según los grupos de edad, 10 a 14 y 15 a 19 años, respectivamente. Conclusión: la autocorrelación espacial indica la existencia de municipios prioritarios para la intervención y la planificación de acciones de enfermería. Descriptores: Tuberculosis; Educación en Salud; Análisis Espacial; Adolescente; Enfermería; Enfermedades Desatendidas.

show abstract

“…It was used to identify areas of risk and protection for CD mortality. For this, the RR for CD mortality was calculated for each municipality, and the presence of purely spatial clusters was identified (Yamamura et al ., 2016).…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal trends of Chagas disease-related mortality in the Northeast of Brazil, 2007–2017

Sousa¹,

Farias²,

Cestari³

et al. 2020

Parasitology

View full text Add to dashboard Cite

Chagas disease (CD) is a neglected disease and endemic in Brazil. In the Brazilian Northeast Region, it affects millions of people. Therefore, it is necessary to identify the spatiotemporal trends of CD mortality in the Northeast of Brazil. This ecological study was designed, in which the unit of analysis was the municipality of the Brazilian northeast. The data source was the Information System of Mortality. It was calculated relative risk from socioeconomic characteristics. Mortality rates were smoothed by the Local Empirical Bayes method. Spatial dependency was analysed by the Global and Local Moran Index. Scan spatial statistics were also used. A total of 11 287 deaths by CD were notified in the study. An expressive parcel of this number was observed among 70-year-olds or more (n = 4381; 38.8%), no schooling (n = 4381; 38.8%), mixed-race (n = 4381; 62.3%), male (n = 6875; 60.9%). It was observed positive spatial autocorrelation, mostly in municipalities of the state of Bahia, Piauí (with high-high clusters), and Maranhão (with low-low clusters). The spatial scan statistics has presented a risk of mortality in 24 purely spatial clusters (P < 0.05). The study has identified the spatial pattern of CD mortality mostly in Bahia and Piauí, highlighting priority areas in planning and control strategies of the health services.

show abstract

Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012)

Cited by 17 publications

References 25 publications

Space–time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies

Space–time clustering and temporal trends of hospitalizations due to pulmonary tuberculosis: potential strategy for assessing health care policies

Spatial-temporal pattern of tuberculosis in adolescents

Spatiotemporal trends of Chagas disease-related mortality in the Northeast of Brazil, 2007–2017

Contact Info

Product

Resources

About