[Temporal pattern, spatial distribution, and factors associated with the incidence of HIV/AIDS among young people in BrazilPatrón temporal, distribución espacial y factores asociados a la incidencia de la infección por el VIH/sida en jóvenes en Brasil]. / Padrão temporal, distribuição espacial e fatores associados a incidência de HIV/AIDS entre jovens no Brasil.

Objective: To describe temporal and spatial patterns and identify the factors associated with the incidence of HIV/AIDS among young people in Brazil. Method: Ecological study of young Brazilians aged 15-24 years with reported HIV/AIDS, from 2001 to 2021. The Joinpoint method was used for the temporal analysis. Spatial clusters were detected using Bayesian methods, spatial autocorrelation, Getis-Ord Gi*, and scan techniques. Four non-spatial and spatial regression models were used to identify factors associated with the result. All statistical analyses considered p < 0.05. Results: In Brazil, the average incidence was 12.29 per 100 000 inhabitants, with an annual increase of 7.3% in the period 2007-2014 and a subsequent 3.4% decrease in 2014-2021. A high-high pattern and hotspots were observed, mainly in municipalities in the South, Southeast, Central-West, and North regions. The primary cluster was located in 572 municipalities in Rio Grande do Sul and Santa Catarina, with the highest relative risks in Manaus (Amazonas) and Rondonópolis (Mato Grosso). The illiteracy rate (ß = -0.08), GINI Index (ß = -3.74) and Family Health Strategy coverage (ß = -0.70) were negatively associated with the result. In contrast, the Firjan Municipal Development Index (ß = 2.37), Social Vulnerability Index (ß = 6.30), percentage of Bolsa Família recipients (ß = 0.04), and per capita income (ß = 0.008) showed a positive association. Conclusion: There was an upward trend in the incidence of HIV/AIDS until 2014, followed by a decline until 2021. High-rate clusters were concentrated in municipalities in the North, South, Southeast and Central-West regions in particular. Indicators of socioeconomic vulnerability had positive or negative effects on the result, depending on the territory investigated.

Objetivo: Describir el patrón temporal y espacial, y determinar los factores asociados a la incidencia de infección por el VIH/sida en jóvenes en Brasil. Método: Estudio ecológico en jóvenes brasileños de 15 a 24 años con diagnóstico de infección por el VIH/sida en el período 2001-2021. Para el análisis temporal se utilizó el método de regresión de puntos de inflexión (joinpoint). Los conglomerados espaciales se detectaron con métodos Bayesianos y de autocorrelación espacial, Gi* de Getis-Ord y escaneo. Se utilizaron cuatro modelos de regresión espacial y no espacial para detectar los factores asociados al resultado. En todos los análisis estadísticos se estableció un valor de p < 0,05 como umbral de significación. Resultados: En Brasil, la incidencia media fue de 12,29 por 100 000 habitantes, con un aumento del 7,3% anual en el período 2007-2014 y una reducción posterior del 3,4% en el período 2014-2021. Se observó un patrón alto/alto y la presencia de puntos calientes, principalmente en municipios del Sur, Sudeste, Centro-Oeste y Norte. El principal conglomerado se localizó en 572 municipios de Rio Grande do Sul y Santa Catarina, y los riesgos relativos más altos se observaron en Manaus (Amazonas) y Rondonópolis (Mato Grosso). La tasa de analfabetismo (ß = -0,08), el índice de Gini (ß = -3,74) y la cobertura de la estrategia de salud familiar (ß = -0,70) mostraron una asociación negativa con el resultado. En cambio, el índice de Firjan de desarrollo municipal (ß = 2,37), el índice de vulnerabilidad social (ß = 6,30), el porcentaje de personas que reciben ayuda del programa de bienestar social Bolsa Família (ß = 0,04) y los ingresos per cápita (ß = 0,008) mostraron una asociación positiva. Conclusión: Hubo una tendencia al aumento de la incidencia de infección por el VIH/sida hasta el 2014, con una reducción posterior hasta el 2021. Los conglomerados de tasas elevadas se concentraron especialmente en los municipios de las regiones Norte, Sur, Sudeste y Centro-Oeste. Los indicadores de vulnerabilidad socioeconómica tienen una influencia positiva o negativa en el resultado, según el territorio investigado.

[Mortality from neglected tropical ciseases in Brazil in the 21st Century: Analysis of spatial and temporal trends and associated factorsMortalidad por enfermedades tropicales desatendidas en Brasil en el siglo XXI: análisis de tendencias espaciales y temporales y factores asociados]. / Mortalidade por doenças tropicais negligenciadas no Brasil no século XXI: análise de tendências espaciais e temporais e fatores associados.

Objective: To analyze the spatial-temporal distribution and factors associated with mortality from neglected tropical diseases (NTDs) in Brazil from 2000 to 2019. Method: We performed an ecological study to analyze NTD-related deaths recorded in the Ministry of Health Mortality Information System (SIM). For the temporal analysis, the joinpoint method was used. Spatial dependence was analyzed using global Moran and local Getis-Ord Gi* indices. Four non-spatial and spatial regression models were used to identify factors associated with mortality. Results: The mean mortality rate from NTDs in Brazil during the study period was 3.32 deaths per 100 000 inhabitants, with the highest rate (8.68 deaths per 100 000 inhabitants) recorded in the Midwest. The most prevalent causes of death were Chagas disease (n = 94 781; 74.9%) and schistosomiasis (n = 10 271; 8.1%). There was a 1.24% reduction (95%CI = -1.6; -0.9; P < 0.001) in NTD-related mortality in Brazil per year. A high/high spatial distribution pattern and hotspots were observed in municipalities in the states of Goiás, Minas Gerais, Bahia, Tocantins, and Piauí. The indicators "population in households with density > 2 people per bedroom" (ß = -0.07; P = 0.00) and "municipal human development index" (ß = -3.36; P = 0.08) were negatively associated with the outcome, while the "index of social vulnerability" (ß = 2.74; P = 0.05) was positively associated with the outcome. Conclusion: Lower human development and higher social vulnerability are associated with higher mortality from NTDs, which should guide NTD prevention and control efforts.

Objetivo: Analizar la distribución espacial y temporal de la mortalidad por enfermedades tropicales desatendidas en Brasil en el período 2000-2019 y los factores asociados a ella. Método: Estudio ecológico centrado en el análisis de las muertes por enfermedades tropicales desatendidas registradas en el Sistema de Información sobre Mortalidad. Para el análisis temporal se utilizó el método de regresión de puntos de inflexión (joinpoint). La dependencia espacial se analizó mediante los índices de Moran global y local y Gi* de Getis-Ord. Se utilizaron cuatro modelos de regresión espacial y no espacial para detectar los factores relacionados con la mortalidad. Resultados: La tasa media de mortalidad por enfermedades tropicales desatendidas en Brasil fue de 3,32 muertes por 100 000 habitantes en el periodo del estudio, y la tasa más alta observada (8,68 muertes por 100 000 habitantes) fue la del Centro Oeste. Las causas de muerte más prevalentes fueron la enfermedad de Chagas (n = 94.781; 74,9%) y la esquistosomiasis (n = 10.271; 8,1%). Se registró una disminución de 1,24% (IC del 95% = -1,6; -0,9; p < 0,001) anual de la mortalidad por enfermedades tropicales desatendidas en el país. Se observó un patrón de distribución espacial alto/alto, con puntos calientes en municipios de los estados de Bahía, Goiás, Minas Gerais, Piauí y Tocantins. Los indicadores "población en hogares con densidad > 2 habitantes por dormitorio" (ß = -0,07; P = 0,00) e "índice de desarrollo humano municipal" (ß = -3,36; P = 0,08) mostraron una asociación negativa con el resultado, mientras que el indicador "índice de vulnerabilidad social" (ß = 2,74; P = 0,05) arrojó una asociación positiva. Conclusiones: Cuanto menor es el grado de desarrollo humano y mayor la vulnerabilidad social, mayor es la mortalidad por enfermedades tropicales desatendidas, lo que debe orientar las medidas correspondientes de prevención y control.

Clinical decision support systems for diabetic foot ulcers: a scoping review.

OBJECTIVE: Map the scientific evidence on the use of clinical decision support systems in diabetic foot care. METHOD: A scoping review based on the JBI Manual for Evidence Synthesis and registered on the Open Science Framework platform. Searches were carried out in primary and secondary sources on prototypes and computerized tools aimed at assisting patients with diabetic foot or at risk of having it, published in any language or period, in eleven databases and grey literature. RESULTS: A total of 710 studies were identified and, following the eligibility criteria, 23 were selected, which portrayed the use of decision support systems in diabetic foot screening, predicting the risk of ulcers and amputations, classifying the stage of severity, deciding on the treatment plan, and evaluating the effectiveness of interventions, by processing data relating to clinical and sociodemographic information. CONCLUSION: Expert systems stand out for their satisfactory results, with high precision and sensitivity when it comes to guiding and qualifying the decision-making process in diabetic foot prevention and care.

Relationship between social development indicators and mortality due to Diabetes Mellitus in Brazil: a space-time analysis. / Relación entre indicadores de desarrollo social y mortalidad por Diabetes Mellitus en Brasil: análisis espacial y temporal.

OBJECTIVE: to identify the space-time pattern of mortality due to Diabetes Mellitus in Brazil, as well as its relationship with social development indicators. METHOD: an ecological and time series nationwide study based on secondary data from the Unified Health System Informatics Department, with space-time analysis and inclusion of indicators in non-spatial and spatial regression models. The following was performed: overall mortality rate calculation; characterization of the sociodemographic and regional profiles of the death cases by means of descriptive and time analysis; and elaboration of thematic maps. RESULTS: a total of 601,521 deaths related to Diabetes Mellitus were recorded in Brazil, representing a mean mortality rate of 29.5/100,000 inhabitants. The states of Rio Grande do Norte, Paraíba, Pernambuco, Alagoas and Sergipe, Rio de Janeiro, Paraná and Rio Grande do Sul presented high-high clusters. By using regression models, it was verified that the Gini index (ß=11.7) and the Family Health Strategy coverage (ß=3.9) were the indicators that most influenced mortality due to Diabetes Mellitus in Brazil. CONCLUSION: in Brazil, mortality due to Diabetes presents an overall increasing trend, revealing itself as strongly associated with places that have worse social indicators. HIGHLIGHTS: (1) The time-space pattern of mortality due to Diabetes presents an increasing trend. (2) The Northeast and South regions present high rates of mortality due to Diabetes. (3) Mortality due to Diabetes is associated with worse sociodemographic indicators. (4) A relationship is observed between income, access to health and mortality due to Diabetes.

Maternal mortality in Northeast Brazil 2009-2019: spatial distribution, trend and associated factors.

OBJECTIVE: To analyze the spatio-temporal pattern of maternal mortality and associated factors in Northeast Brazil, from 2009 to 2019. METHODS: This was an ecological study using the joinpoint method for temporal analysis and spatial autocorrelation and scan tests to identify clusters; regression models using the ordinary least squares and geographically weighted regression methods were used to identify factors associated with mortality, considering p-value < 0.05. RESULTS: Maternal mortality decreased by 1.5% (95%CI; -2.5;-0.5) per year (p-value = 0.009); clusters, of deaths were found, mainly in Piauí and Maranhão, the variables associated with the maternal mortality ratio were Gini Index (ß = 105.72; p-value < 0.001), municipal human development index (ß = 190.91; p-value = 0.001), per capita income (ß = -0.08; p-value = 0.001), Firjan Municipal Development Index-Health (ß = -51.28; p-value < 0.001), life expectancy at birth (ß = -3.50; p-value < 0.001). CONCLUSION: There was a reduction in mortality in the period studied, with a concentration of deaths, primarily in Piauí and Maranhão; socioeconomic indicators were associated with higher mortality in the region. MAIN RESULTS: There was a decrease in maternal mortality in Northeast Brazil, from 2009 to 2019. Deaths were mainly concentrated in the states of Piauí and Maranhão. Five socioeconomic indicators were associated with higher mortality in the region. IMPLICATIONS FOR SERVICES: In order to maintain the trend of falling maternal mortality in Northeast Brazil, the need exists to reduce social inequalities and expand access to health services, especially within the scope of Primary Care. PERSPECTIVES: Public policies are needed to expand health services in general as well as comprehensive women's health care in the Brazilian National Health System, especially for women living in contexts of greater social vulnerability.

Spatiotemporal pattern of the incidence of tuberculosis and associated factors.

OBJECTIVE: To analyze the spatiotemporal pattern of tuberculosis incidence and its associated factors. METHODS: Ecological study, which used tuberculosis notifications during 2001-2017 and as units of analysis the municipalities of the state of Ceará of the Notifiable Diseases Information System. Time pattern analysis techniques and geographically weighted regression were used. RESULTS: The gross incidence rate in the state reached a peak of 226.1/100 thousand inhabitants with a significant decrease of 1.9% per year (95%CI -3.0--0.7). The main clusters were identified in Fortaleza and its metropolitan region, as well as in the Sobral region. The socioeconomic indicators that were associated with the incidence were: occupation in the agricultural sector and services, population in households with bathrooms and running water and vulnerable to poverty. CONCLUSION: There was a significant decrease in the incidence of the disease in the state of Ceará. The spatial clusters were mostly located in areas with high population and the indicators most related to the formation of spatial clusters were related to employment/income, housing and vulnerability.

Diabetes as a factor associated with hospital deaths due to COVID-19 in Brazil, 2020. / Diabetes como um fator associado ao óbito hospitalar por COVID-19 no Brasil, 2020.

OBJECTIVE: To analyze the association between diabetes mellitus and hospital deaths due to Covid-19 in Brazil, from February to August 2020. METHODS: This was a cross-sectional study on hospitalized flu-like syndrome cases, with a positive test result for COVID-19, reported on the Influenza Epidemiological Surveillance Information System. Poisson regression with robust variance was used to estimate the magnitude of the association between diabetes and deaths. RESULTS: Data from 397,600 hospitalized cases were analyzed, of which 32.0% (n = 127,231) died. The prevalence of death among people with diabetes was 40.8% (PR = 1.41; 95%CI 1.39;1.42). After adjustments for the variables sociodemographic and comorbidities, it could be seen that those with diabetes (95%CI 1.14;1.16) were 1.15 time more likely to die. CONCLUSION: 3 out of every 20 deaths due to COVID-19 occurred among individuals with diabetes mellitus, highlighting this population susceptibility and the need to control this chronic disease.

Spatiotemporal pattern and factors related to childhood tuberculosis.

AIM: To identify the spatiotemporal pattern of childhood tuberculosis and the sociodemographic factors related to it. METHOD: This is an ecological study, which used the municipalities of the state of Ceará as units of analysis. The Notifiable Diseases Information System was used as a data source from January 2001 to December 2017. It was conducted a descriptive analysis of the characteristics of the cases, the temporal and spatial pattern of the incidence of the disease and regression with sociodemographic indicators. RESULTS: An average incidence of 3.48 cases/100 thousand inhabitants was identified, with a reduction of 5.7% during the period 2003-2017 (p<0.001). The following were related to childhood tuberculosis: proportion of the population in households with piped water (ß=0.05), proportion of the population in households with density >2 (ß=0.09) and number of female heads of household with children under 15 years of age (ß=0.0003). CONCLUSION: Indicators of housing conditions and vulnerability were related to childhood tuberculosis.

Spatiotemporal pattern and factors related to infant mortality in Northeast Brazil.

OBJECTIVE: To analyze the spatiotemporal pattern and factors related to infant mortality in Northeastern Brazil from 2008 to 2018. METHOD: Ecological study developed with infant deaths that occurred in the Northeast and reported in the Mortality Information System. Non-spatial and spatial regression models were used to identify indicators related to infant mortality. RESULTS: The mortality rate showed a decreasing trend of 2.1% per year (95% CI: -2.7 - -1.6; p<0.001), with higher Bayesian coefficients concentrated in in municipalities in the interior of Piauí. The variables related to infant mortality were: Gini Index (ß = 6.56; p=0.01), Municipal Human Development Index (ß = -22.21; p 0.001), dependency ratio (ß = 0.16; p <0.001), percentage of people in households without electricity (ß = -0.12; p<0.001) and percentage of women aged 10 to 17 who had children (ß=0.19; p=0.01). CONCLUSION: There was a decrease in infant mortality during the studied period and high Bayesian rates in the interior of Piauí.

Impact of a computer system as a triage tool in the management of pulmonary tuberculosis in a HIV reference center in Brazil.

BACKGROUND: The Neural Clinical Score for tuberculosis (NCS-TB) is a computer system developed to improve the triage of presumed pulmonary TB (pPTB). METHODS: A study was performed with cohorts of pPTB patients cared for at a reference hospital in Northeast Brazil. RESULTS: The NCS-TB sensitivity was 76.5% for TB diagnosis, which shortened the time from triage to smear microscopy results (3.3 to 2.5 days; p<0.001) and therapy initiation (6.7 to 4.1 days; p=0.045). CONCLUSIONS: Although the NCS-TB was not suitable as a screening tool, it was able to optimize laboratory diagnosis and shorten the time to treatment initiation.

Spatial Distribution of Mortality for Heart Failure in Brazil, 1996 - 2017. / Distribuição Espacial de Mortalidade por Insuficiência Cardíaca no Brasil, 1996-2017.

BACKGROUND: Heart failure (HF) is a leading cause of mortality and morbidity worldwide, and is associated with the high use of resources and healthcare costs. In Brazil, the HF prevalence is around 2 million patients, and its incidence is of approximately 240,000 new cases per year. OBJECTIVE: The present investigation aimed to analyze the spatiotemporal trend of mortality caused by HF in Brazil, from 1996 to 2017. METHODS: This is an ecological study developed with secondary data on HF mortality in Brazil. During the period, 1,242,014 cases of death caused by heart failure were analyzed. The existence of spatial autocorrelation of cases was calculated using the Global Moran Index (GMI) and, when significant, the Local Moran Index, considering p<0.05. The relative risk of the clusters was calculated. RESULTS: The mortality rate due to HF was diversified in all Brazilian regions, with an emphasis in the South, Southeast, and Northeast. The GMI indicated positive spatial autocorrelation (p=0.01) in all periods. Municipalities located in the South, Southeast, Northeast, and Midwest showed a higher Relative Risk for mortality from HF, and most municipalities in the North were classified as a protective factor against this cause of death. CONCLUSIONS: The study showed a decline in mortality rates across the national territory. The highest concentration of mortality rates is in the North and Northeast regions, highlighting priority vulnerable areas in the planning and controlling strategies of health services.

FUNDAMENTO: Insuficiência cardíaca (IC) é uma das principais causas de mortalidade e morbidade no mundo, e está associada ao alto uso de recursos e custos com saúde. No Brasil, a prevalência de IC é de aproximadamente 2 milhões de pacientes, e sua incidência é de aproximadamente 240.000 novos casos por ano. OBJETIVO: A investigação objetivou analisar a tendência espaço-temporal da mortalidade causada por IC no Brasil, de 1996 a 2017. MÉTODOS: Este é um estudo ecológico desenvolvido com dados secundários sobre mortalidade por IC no Brasil. Durante o período, 1.242.014 casos de morte causada por IC foram analisados. A existência da autocorrelação espacial de casos foi calculada utilizando o Índice de Moran Global (IMG) e, quando significativo, o Índice de Moran Local, considerando p <0,05. O risco relativo dos grupos foi calculado. RESULTADOS: A taxa de mortalidade causada por IC foi diversificada em regiões brasileiras, com ênfase no sul, sudeste e nordeste. O IMG indicou autocorrelação espacial positiva (p=0,01) em todos os períodos. Cidades localizadas no sul, sudeste, nordeste e centro-oeste mostraram maior risco relativo para mortalidade causada por IC, e a maioria das cidades do norte foi classificada como um fator protetivo contra esta causa de morte. CONCLUSÕES: O estudo demonstrou declínio nas taxas de mortalidade no território nacional. A maior concentração de taxas de mortalidade está nas regiões norte e nordeste, enfatizando as áreas prioritárias de vulnerabilidade no planejamento e estratégias de controle de serviços de saúde.

Prevalence and associated factors of tuberculosis treatment abandonment. / Prevalência e fatores associados ao abandono do tratamento da tuberculose.

OBJECTIVE: To estimate the prevalence of tuberculosis treatment abandonment and its associated factors. METHOD: Cross-sectional study which used cases of tuberculosis in the System of Information on Notification Aggravations (Sistema de Informação de Agravos de Notificação) from 2001 to 2017 in Ceará state. This study included 74,006 cases and the outcome was the closing situation "treatment abandonment". A multivariate analysis was performed to estimate the association between the variables with abandonment. RESULTS: Throughout the period, the abandonment rate was 12.54%. A higher abandonment prevalence was verified among people who live in the urban zone (PR = 2.45; 95%CI: 2.20-2.74), who are readmitted after abandonment (PR = 2.84; 95%CI: 2.68-3.01), among those notified as recurrent (PR = 1.22; 95%CI: 1.10-1.35) and among drinkers (PR = 1.50; 95%CI: 1.42-1.58). Those who were sputum smear-positive (PR = 1.11; 95%CI: 1.03-1.19) or for whom sputum smear was unperformed (PR = 1.30; 95%CI: 1.20-1.40), coinfection (PR = 2.04; CI95%: 1.89-2.21) and who were not submitted to serology (PR = 1.62; 95%CI: 1.53-1.71) have also a higher prevalence of tuberculosis treatment abandonment. CONCLUSION: Tuberculosis treatment abandonment is associated to biological and social factors, habits, and health service structure.

Spatial analysis of congenital syphilis in the State of Rio Grande do Norte, between 2008 and 2018.

OBJECTIVE: To analyze the spatial distribution of congenital syphilis cases in a state in northeastern Brazil. METHOD: This is an ecological study, with secondary data for the period from 2008 to 2018, taking as a sample the notified cases of congenital syphilis in Rio Grande do Norte. In the data analysis, the eight health regions of the state were used as units of analysis, and the local and global Moran's I was performed, with subsequent smoothing through the local empirical Bayesian method, which resulted in thematic maps. RESULTS: The results showed an increase in cases of congenital syphilis in the 3rd and 7thhealth regions. In terms of spatial analysis, this investigation showed clusters in the 3rd, 5th, and 7thhealth regions, with an increased risk for congenital syphilis of up to 2.65 times and with an incidence rate of 7.91 cases per 1,000 live births. CONCLUSION: The spatial analysis of congenital syphilis cases allowed observing a high incidence in some health regions, with averages above those calculated for the entire state, indicating the need to implement effective strategies to achieve its control.

Social vulnerability and COVID-19 incidence in a Brazilian metropolis. / Vulnerabilidade social e incidência de COVID-19 em uma metrópole brasileira.

Vulnerability is a crucial factor in addressing COVID-19 as it can aggravate the disease. Thus, it should be considered in COVID-19 control and health prevention and promotion. This ecological study aimed to analyze the spatial distribution of the incidence of COVID-19 cases in a Brazilian metropolis and its association with social vulnerability indicators. Spatial scan analysis was used to identify COVID-19 clusters. The variables for identifying the vulnerability were inserted in a Geographically Weighted Regression (GWR) model to identify their spatial relationship with COVID-19 cases. The incidence of COVID-19 in Fortaleza was 74.52/10,000 inhabitants, with 3,554 reported cases and at least one case registered in each neighborhood. The spatial GWR showed a negative relationship between the incidence of COVID-19 and demographic density (ß=-0,0002) and a positive relationship between the incidence of COVID-19 and the percentage of self-employed >18 years (ß=1.40), and maximum per capita household income of the poorest fifth (ß=0.04). The influence of vulnerability indicators on incidence showed areas that can be the target of public policies to impact the incidence of COVID-19.

A vulnerabilidade é um fator chave no enfrentamento da COVID-19 tendo em vista que pode influenciar no agravamento da doença. Desse modo, ela deve ser considerada no controle da COVID-19, prevenção e promoção da saúde. O objetivo deste artigo é analisar a distribuição espacial da incidência de casos de COVID-19 em uma metrópole brasileira e sua associação com indicadores de vulnerabilidade social. Estudo ecológico. Foi utilizada a análise de varredura espacial (scan) para identificar aglomerados de COVID-19. As variáveis para identificação da vulnerabilidade foram inseridas em um modelo de Regressão Espacial Geograficamente Ponderado (GWR) para identificar sua relação espacial com os casos de COVID-19. A incidência de COVID-19 em Fortaleza foi de 74,52/10 mil habitantes, com notificação de 3.554 casos, sendo pelo menos um caso registrado em cada bairro. A regressão espacial GWR mostrou relação negativa entre incidência de COVID-19 e densidade demográfica (ß=-0,0002) e relação positiva entre incidência de COVID-19 e percentual de ocupados >18 anos trabalhadores autônomos (ß=1,40), assim como, renda domiciliar per capita máxima do quinto mais pobre (ß=0,04). A influência dos indicadores de vulnerabilidade sobre a incidência evidenciou áreas que podem ser alvo de políticas públicas a fim de impactar na incidência de COVID-19.

Mortality due to acquired immunodeficiency syndrome and associated social factors: a spatial analysis.

OBJECTIVE: To analyze the spatial pattern of AIDS mortality and social factors associated with its occurrence. METHODS: An ecological study that considered 955 AIDS deaths of residents in Piauí, reported in the Mortality Information System (MIS) from 2007 to 2015. Non-spatial and spatial regression models were used to identify social determinants of AIDS mortality, with a significance of 5%. RESULTS: The predictors of AIDS mortality were illiteracy rate in males (p = 0.020), proportion of households with water supply (p = 0.015), percentage of people in households with inadequate walls (p = 0.022), percentage of people in households vulnerable to poverty and in whom no one has completed primary education (p = 0.000) and percentage of people in households vulnerable to poverty and dependent on the elderly (p = 0.009). CONCLUSION: Social indicators related to education, job and income generation and housing were associated with AIDS mortality.

Estimation and prediction of COVID-19 cases in Brazilian metropolises.

OBJECTIVE: to estimate the transmission rate, the epidemiological peak, and the number of deaths by the new coronavirus. METHOD: a mathematical and epidemiological model of susceptible, infected, and recovered cases was applied to the nine Brazilian capitals with the highest number of cases of the infection. The number of cases for the 80 days following the first case was estimated by solving the differential equations. The results were logarithmized and compared with the actual values to observe the model fit. In all scenarios, it was considered that no preventive measures had been taken. RESULTS: the nine metropolises studied showed an upward curve of confirmed cases of COVID-19. The prediction data point to the peak of the infection between late April and early May. Fortaleza and Manaus had the highest transmission rates (≥2·0 and ≥1·8, respectively). Rio de Janeiro may have the largest number of infected people (692,957) and Florianópolis the smallest (24,750). CONCLUSION: the estimates of the transmission rate, epidemiological peak, and number of deaths from coronavirus in Brazilian metropolises presented expressive and important numbers the Brazilian Ministry of Health needs to consider. The results confirm the rapid spread of the virus and its high mortality in the country.

Temporal pattern of tuberculosis cure, mortality, and treatment abandonment in Brazilian capitals.

OBJECTIVE: to analyze the temporal pattern of tuberculosis cure, mortality, treatment abandonment in Brazilian capitals. METHOD: this is an ecological study whose data source was the Information System of Notifiable Diseases for Tuberculosis (Sistema de Informação de Agravos de Notificação para Tuberculose). For analysis of temporal evolution, regressions by join points were performed considering the annual percentage variation and the significance of the trend change with 95% confidence interval. RESULTS: 542,656 cases of tuberculosis were found, with emphasis on a 3% decrease per year in the cure rate for Campo Grande (interval: -5.0 - -0.9) and a 3.5% increase for Rio de Janeiro (interval: 1.9 - 4.7). Regarding abandonment, it decreased 10.9% per year in Rio Branco (interval: -15.8 - -5.7) and increased 12.8% per year in Fortaleza (interval: 7.6 - 18.3). For mortality, a decreasing or stationary tendency was identified, with a greater decrease (7.8%) for Porto Velho (interval:-11.0 - -5.0) and a lower one (2.5%) in Porto Alegre (interval:-4.5 - -0.6). CONCLUSION: the rates of cure and abandonment are far from the ones recommended by the World Health Organization, showing that Brazilian capitals need interventions aimed at changing this pattern.

Dinâmica espaço-temporal e fatores associados à mortalidade neonatal / Space-temporal dynamics and factors associated with newborn mortality / Dinámica Espacio-temporal y factores asociados a la mortalidad del recién nacido

Objetivo:analisar a distribuição espacial e temporal da mortalidade neonatal e fatores associados no Piauí de 2007 a 2017. Método: foi utilizado o método Joinpoint, estatística bayesiana e a técnica de varredura Scan. A análise multivariada dos indicadores foi realizada através do modelo Ordinary Least Squares Estimation, considerando-se p<0,05. Resultados: a mortalidade neonatal reduziu de forma linear e significativa ao longo do período estudado. As maiores taxas bayesianas variaram de 16,34 a 18,38 óbitos por 1.000 nascidos vivos, especialmente no Sudeste piauiense. Houve associação negativa entre a mortalidade neonatal e as variáveis: Taxa de analfabetismo (ß = -0,60; p= 0,027), Cobertura da Estratégia Saúde da Família (ß = -2,80; p= 0,023) e Índice de Desenvolvimento Humano Municipal (ß = -0,60; p= 0,003). Conclusão: a mortalidade neonatal segue decrescente e sua distribuição no território mostrou-se irregular. Indicadores socioeconômicos e de saúde influenciam a mortalidade neonatal no Piauí

Objective: to analyze the spatial and temporal distribution of neonatal mortality and associated factors in Piauí from 2007 to 2017. Method: the Joinpoint method, Bayesian statistics and the Scan technique were used. The multivariate analysis of the indicators was performed using the Ordinary Least Squares Estimation model, considering p<0.05. Results: neonatal mortality decreased linearly and significantly over the period studied. The highest Bayesian rates ranged from 16.34 to 18.38 deaths per 1,000 live births, especially in Southeast Piauí. There was a negative association between neonatal mortality and the variables: Illiteracy rate (ß = -0.60; p= 0.027), Family Health Strategy Coverage (ß = -2.80; p= 0.023) and Human Development Index Municipal (ß = -0.60; p= 0.003). Conclusion: neonatal mortality continues to decrease and its distribution in the territory proved to be irregular. Socioeconomic and health indicators influence neonatal mortality in Piauí

Objetivos: analizar la distribución espacial y temporal de la mortalidad neonatal y factores asociados en Piauí de 2007 a 2017. Método: se utilizó el método Joinpoint, la estadística bayesiana y la técnica Scan. El análisis multivariado de los indicadores se realizó mediante el modelo de Estimación por Mínimos Cuadrados Ordinarios, considerando p<0,05. Resultados: la mortalidad neonatal disminuyó lineal y significativamente durante el período estudiado. Las tasas bayesianas más altas oscilaron entre 16,34 y 18,38 muertes por 1.000 nacidos vivos, especialmente en el Sudeste de Piauí. Hubo asociación negativa entre la mortalidad neonatal y las variables: Tasa de Analfabetismo (ß = -0,60; p= 0,027), Cobertura de la Estrategia de Salud de la Familia (ß = -2,80; p= 0,023) e Índice de Desarrollo Humano Municipal (ß = -0,60; p= 0,003). Conclusión: la mortalidad neonatal continúa en descenso y su distribución en el territorio resultó ser irregular. Indicadores socioeconómicos y de salud influyen en la mortalidad neonatal en Piauí

Clinical and epidemiological features of tuberculosis in children and adolescents.

OBJECTIVE: To analyze the clinical and epidemiological features of tuberculosis in children and adolescents in an infectious diseases reference hospital. METHOD: A documental and retrospective study was carried out with 88 medical files in an infectious diseases reference hospital in the state of Ceará. Data were analyzed by univariate, bivariate and multivariate approaches. RESULTS: It was found that, depending on the tuberculosis type, its manifestations may vary. The logistic regression model considered only pulmonary tuberculosis due to a number of observations and included female sex (95% CI: 1.4-16.3), weight loss (95% CI: 1.8-26.3), bacilloscopic screening (95% CI: 1.5-16.6) and sputum collected (95% CI: 1.4-19.4) as possible predictors. CONCLUSIONS: Children and adolescents present different manifestations of the disease depending on the tuberculosis type that affects them. Knowing the most common features of each condition could enhance early diagnosis and, consequently, result in adequate treatment and care.