Avaliação do sistema de vigilância epidemiológica da leptospirose em Campinas, São Paulo, 2007 a 2014

Lara, Jackeline Monsalve; Donalísio, Maria Rita; Zuben, Andrea Von; Angerami, Rodrigo Nogueira; Francisco, Priscila Maria Stolses Bergamo

doi:10.1590/1414-462x202129020474

Cited by 4 publications

(5 citation statements)

References 4 publications

(5 reference statements)

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“…In Brazil, the epidemiological data of leptospirosis may be nonexistent and inaccurate [ 42 ], given that the often nonspecific or silent clinical presentation of the disease contributes to its underreporting [ 43 ]. Still, it is much more difficult to raise awareness about the need to notify the suspected cases of leptospirosis by health professionals [ 6 , 44 ]. In this context, it was observed that the distribution of leptospirosis incidence rates in Rio Grande do Sul varied greatly in the different regions of the state; in 20 municipalities, it was very high in the evaluated period, while in 220 municipalities, cases the disease was not recorded in the years evaluated.…”

Section: Discussionmentioning

confidence: 99%

Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis

et al. 2023

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Although leptospirosis is endemic in most Brazilian regions, South Brazil shows the highest morbidity and mortality rates in the country. The present study aimed to analyze the spatial and temporal dynamics of leptospirosis cases in South Brazil to identify the temporal trends and high-risk areas for transmission and to propose a model to predict the disease incidence. An ecological study of leptospirosis cases in the 497 municipalities of the state of Rio Grande do Sul, Brazil, was conducted from 2007 to 2019. The spatial distribution of disease incidence in southern Rio Grande do Sul municipalities was evaluated, and a high incidence of the disease was identified using the hotspot density technique. The trend of leptospirosis over the study period was evaluated by time series analyses using a generalized additive model and a seasonal autoregressive integrated moving average model to predict its future incidence. The highest incidence was recorded in the Centro Oriental Rio Grandense and metropolitan of Porto Alegre mesoregions, which were also identified as clusters with a high incidence and high risk of contagion. The analysis of the incidence temporal series identified peaks in the years 2011, 2014, and 2019. The SARIMA model predicted a decline in incidence in the first half of 2020, followed by an increase in the second half. Thus, the developed model proved to be adequate for predicting leptospirosis incidence and can be used as a tool for epidemiological analyses and healthcare services.Temporal and spatial clustering of leptospirosis cases highlights the demand for intersectorial surveillance and community control policies, with a focus on reducing the disparity among municipalities in Brazil.

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Section: Discussionmentioning

confidence: 99%

Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis

et al. 2023

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“…8 For consistency, the considered categories were: excellent, greater than or equal to 90.0%; regular, from 70.0% to 89.9%; and poor, less than 70.0%. 12 The annual percentage change (APC) was calculated using Prais-Winsten linear regression, with the biennium as the independent variable (y) and the percentage of completeness as the dependent variable (x). 13 A significance level of 5% was used in statistical tests and a 95% confidence interval (95%CI) was calculated.…”

Section: Methodsmentioning

confidence: 99%

“… 8 For consistency, the considered categories were: excellent, greater than or equal to 90.0%; regular, from 70.0% to 89.9%; and poor, less than 70.0%. 12 …”

Section: Methodsmentioning

confidence: 99%

Analysis of the completeness and consistency of records of violence against indigenous women in the health macro-region of Dourados, Mato Grosso do Sul state, Brazil, 2009-2020

Freitas,

Marcon,

Welch

et al. 2024

Epidemiol. Serv. Saúde

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Objective: To analyze the temporal trend of completeness and consistency of data on notifications of violence against indigenous women in the health macro-region of Dourados, state of Mato Grosso do Sul, Brazil, between 2009 and 2020. Methods: An ecological time series study was conducted using data from the Notifiable Health Conditions Information System; Prais-Winsten regression was used to analyze the trend of data completeness and consistency, as well as the proportion of completed and coherent fields. Results: A total of 2,630 cases were reported; completeness was found to be very poor in the variable “occupation” (48.9%) and poor in the variables “schooling” (68.3%) and “time of occurrence” (67.9%); in the analysis of temporal trends, only the variable “occupation” showed a decreasing trend (p = 0.045). Conclusion: The data analyzed demonstrated the need for improvement in the completeness of the variables “schooling”, “occupation” and “time of occurrence” of the violent act.

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“…8 Para a consistência, as categorias consideradas foram: excelente, igual ou superior 90,0%; regular, de 70,0% a 89,9%; e baixa, inferior a 70,0%. 12 A variação percentual anual (VPA) foi calculada utilizando-se a regressão linear de Prais-Winsten, sendo o biênio a variável independente (y) e os percentuais de completitude a variável dependente (x). 13 Utilizou-se o nível de significância de 5% nos testes estatísticos e calculou-se o intervalo de confiança de 95% (IC 95% ).…”

Section: Métodosunclassified

Análise da completitude e consistência dos registros de violência contra as mulheres indígenas na macrorregião de saúde de Dourados, Mato Grosso do Sul, 2009-2020

Freitas,

Marcon,

Welch

et al. 2024

Epidemiol. Serv. Saúde

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Resumo Objetivo: Analisar a tendência temporal do grau de completitude e a consistência dos dados de notificação de violência contra as mulheres indígenas da macrorregião de saúde de Dourados, Mato Grosso do Sul, Brasil, entre os anos de 2009 e 2020. Métodos: Estudo ecológico de série temporal, sobre dados do Sistema de Informação de Agravos de Notificação; utilizou-se a regressão de Prais-Winsten para analisar a tendência da completitude dos dados e sua consistência, a proporção de campos preenchidos e coerentes. Resultados: Foram notificados 2.630 casos; a completitude revelou-se muito ruim na variável “ocupação” (48,9%) e ruim nas variáveis “escolaridade” (68,3%) e “hora da ocorrência” (67,9%); na análise de tendência temporal, apenas a variável “ocupação” apresentou tendência de redução (p = 0,045). Conclusão: Os dados analisados demonstraram a necessidade de melhoria na completitude das variáveis “escolaridade”, “ocupação” e “hora da ocorrência” do ato violento.

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Avaliação do sistema de vigilância epidemiológica da leptospirose em Campinas, São Paulo, 2007 a 2014

Cited by 4 publications

References 4 publications

Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis

Spatial and temporal dynamics of leptospirosis in South Brazil: A forecasting and nonlinear regression analysis

Analysis of the completeness and consistency of records of violence against indigenous women in the health macro-region of Dourados, Mato Grosso do Sul state, Brazil, 2009-2020

Análise da completitude e consistência dos registros de violência contra as mulheres indígenas na macrorregião de saúde de Dourados, Mato Grosso do Sul, 2009-2020

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