Análise dos feminicídios no estado de Pernambuco: violência de gênero e invisibilidade / Analysis of femicides in the state of Pernambuco: gender-based violence and invisibility / Análisis de los feminicidios en el estado de Pernambuco: violencia de género e invisibilidad

O feminicídio é um fenômeno decorrente da herança patriarcal machista e de estruturas sociais historicamente permeadas por relações desiguais de gênero. O objetivo desta dissertação, que é um estudo ecológico, foi analisar os aspectos epidemiológicos dos feminicídios registrados em Pernambuco, entre 2016 e 2019. Como proxy dos eventos de feminicídio, foi admitido como referência o registro de homicídios e de mortes por causas indeterminadas de mulheres no Sistema de Informações sobre Mortalidade. Foram estabelecidas etapas de buscas com o linkage probabilístico em bases de dados da saúde e, de forma complementar, de revisões manuais em plataforma do Tribunal de Justiça de Pernambuco (TJPE) e mídias noticiosas online. Realizou-se a descrição dos dados mediante a distribuição de frequências, medidas de tendência central e dispersão. Para analisar o padrão espacial das taxas de feminicídio, foram utilizados o método bayesiano empírico local e o índice de autocorrelação de Moran. Aplicou-se a regressão logística hierarquizada para verificar a associação entre o feminicídio e a violência interpessoal e estimar a razão de chances (Odds Ratio) com intervalos de confiança de 95% (IC95%). Assim, foram localizados 490 feminicídios, o que correspondeu a uma taxa de 2,5 por 100.000 mulheres. A maior proporção de feminicídios foi identificada pela busca manual em mídias noticiosas online e na base processual do TJPE (n = 247; 50,41%). As características principais das vítimas são: idade entre 20 e 39 anos (n = 286; 58,37%); raça/cor negra (n = 400; 81,63%); sem companheiro(a) (n = 407; 83,06%); e escolaridade superior a oito anos de estudo (n = 303; 61,84%). A autocorrelação espacial do evento foi confirmada pelo índice global de Moran das taxas suavizadas (I = 0,3; p = 0,001); a autocorrelação local reforça a interiorização do evento ao apontar área crítica (Q1) formada por municípios localizados na macrorregião do Vale do São Francisco e Araripe. No nível de determinação distal, identificou-se que as seguintes variáveis elevam as chances de ocorrência do feminicídio: residir em município de pequeno porte (OR = 2,10); indisponibilidade de delegacias especializadas no atendimento à mulher (OR = 1,11); e ausência de encaminhamentos para rede assistencial e protetiva na oportunidade de agressão anterior (OR = 1,32). Nos determinantes intermediários, destacou-se que, quanto maior é a intensidade do meio de ação empregado na prática da violência, maior é a chance do desfecho fatal, ressaltando-se o uso de objeto perfurocortante (OR = 3,93) e arma de fogo (OR = 11,14). E, acerca dos determinantes proximais, as vítimas inseridas na faixa etária entre 10 e 19 anos apresentaram menor chance quanto à ocorrência de feminicídio (OR = 0,51). A caracterização da população de estudo pode proporcionar a ampliação dos conhecimentos sobre violência estrutural contra as mulheres, aspectos da notificação e da rede assistencial e protetiva. A análise espacial identificou a interiorização do evento e áreas de transição em Pernambuco, as quais requerem priorização de intervenções. E a modelagem evidenciou que as mulheres estão expostas a múltiplos fatores de risco para a ocorrência de feminicídio, de forma que a discussão, de modo particularizado a todos os níveis de determinação, faz-se ainda mais necessária.

Feminicide results from the sexist patriarchal heritage and social structures historically permeated by unequal gender relations. This ecological study analyzes the epidemiological aspects of feminicides recorded in Pernambuco between 2016 and 2019. Records of homicides and undetermined causes of death of women available in the Mortality Information System were the proxy for feminicide events and accepted as reference. Search steps were established with probabilistic linkage in health databases, as well as manual reviews on the Pernambuco Court of Justice (TJPE) platform and online news media as a complement. Data were described by the distribution of frequencies, measures of central tendency and dispersion. Local empirical Bayesian method and Moran's autocorrelation index were used in the spatial pattern analysis of femicide rates. Hierarchical logistic regression was applied to verify the association between femicide and interpersonal violence and to estimate the Odds Ratio with 95% confidence intervals (95%CI). Search returned a total of 490 feminicides, corresponding to a rate of 2.5 per 100,000 women. The highest proportion of feminicides was identified by manual search in online news media and in the TJPE database (n = 247; 50.41%). Most victims were aged between 20 and 39 years (n = 286; 58.37%), black (n = 400; 81.63%), had no partner (n = 407; 83.06%) and with over eight years of schooling (n = 303; 61.84%). Spatial autocorrelation of the event was confirmed by the Global Moran Index of smoothed rates (I = 0.3; p = 0.001). Local autocorrelation reinforces the interiorization of the phenomenon by pointing to a critical area (Q1) formed by municipalities located in the Vale do São Francisco and Araripe macroregion. At the distal level, the following variables increase the chances of feminicide: living in a small city (OR = 2.10); unavailability of specialized police stations (OR = 1.11); and absence of referrals to the care and protection network in the event of a previous aggression (OR = 1.32). Regarding intermediate determinants, the greater the violence inflicted the greater the chance of a fatal outcome, emphasizing the use of sharp objects (OR = 3.93) and firearms (OR = 11.14). Regarding proximal determinants, victims in the age group 10-19 years old were less likely to be a victim of femicide (OR = 0.51). Characterizing the study population can further knowledge about structural violence against women, and aspects of the notification and the care and protection network. Spatial analysis pointed to the interiorization of the phenomenon and transition areas in Pernambuco, requiring prioritization of interventions. The modeling showed that women are exposed to multiple risk factors for feminicide and further discussions at all levels of determination are necessary.

El feminicidio es un fenómeno derivado de la herencia patriarcal machista y de estructuras sociales históricamente permeadas por relaciones desiguales de género. Este estudio de tipo ecológico tuvo por objetivo analizar los aspectos epidemiológicos de los feminicidios registrados en Pernambuco, en el período entre 2016 y 2019. Como proxy de los eventos de feminicidio, se utilizó como referencia el registro de homicidios y de causas indeterminadas de muertes de mujeres en el Sistema de Informaciones sobre Mortalidad. Se establecieron etapas de búsquedas con vinculación probabilística en las bases de datos de salud y, de forma complementaria, búsquedas manuales en la plataforma del Tribunal de Justicia de Pernambuco (TJPE) y medios en línea. Para describir los datos se utilizaron la distribución de frecuencias, medidas de tendencia central y dispersión. Para analizar el padrón espacial de las tasas de feminicidio se emplearon el método bayesiano empírico local y el índice de autocorrelación de Moran. Se aplicó la regresión logística jerarquizada para constatar la asociación entre el feminicidio y la violencia interpersonal, y estimar la razón de posibilidades (Odds Ratio) con intervalos de confianza del 95% (IC95%). Los resultados apuntaron a 490 feminicidios, lo que correspondió a una tasa de 2,5 por 100.000 mujeres. La mayor proporción de feminicidios se identificó mediante la búsqueda manual en prensa en línea y en la base procesal del TJPE (n = 247; 50,41%). Las principales características de las víctimas fueron edad entre 20 y 39 años (n = 286; 58,37%), raza/color negro (n = 400; 81,63%), sin compañero(a) (n = 407; 83,06%) y nivel de estudios superior a ocho años de estudio (n = 303; 61,84%). La autocorrelación espacial del evento se confirmó mediante el índice de Moran global de las tasas suavizadas (I = 0,3, p = 0,001); la autocorrelación local refuerza la interiorización del evento al señalar área crítica (Q1) formada por municipios situados en la macrorregión del Valle de São Francisco y Araripe. En el nivel de determinación distal se identificó que las siguientes variables aumentan las posibilidades de feminicidio: residir en municipio de pequeño tamaño, (OR = 2,10); indisponibilidad de comisarías especializadas en la atención a la mujer (OR = 1,1); y ausencia de remisiones a la red asistencial y protectora en la ocasión de agresión anterior (OR = 1,32). En los determinantes intermediarios, se destacó que cuanto mayor es la intensidad del medio de acción empleado en la práctica de la violencia, mayor es la posibilidad de desenlace fatal, destacándose el empleo de objeto cortopunzante (OR = 3,93) y arma de fuego (OR = 11,14). En cuanto a los determinantes proximales, las víctimas comprendidas en el tramo de edad comprendido entre los 10 y los 19 años presentaron menos posibilidad de incidencia de feminicidio (OR = 0,51). La caracterización de la población de estudio puede proporcionar la ampliación de los conocimientos sobre violencia estructural contra la mujer, aspectos de la notificación y de la red asistencial protectora. El análisis espacial identificó la interiorización del evento y áreas de transición en Pernambuco, las cuales requieren priorización de las intervenciones. Y el modelaje reveló que las mujeres están expuestas a múltiples factores de riesgo para la incidencia de feminicidio y el debate, de modo particularizado de todos los niveles de determinación, se hace todavía más necesario.

Temporal trend of mortality from infectious respiratory diseases in childhood in Minas Gerais, Brazil, 2000-2020.

MAIN RESULTS: From 2000 to 2020, there was a downward trend in mortality due to infectious respiratory disease in children living in Minas Gerais - even in 2020, the year of the COVID-19 pandemic. IMPLICATIONS FOR SERVICES: There was a reduction in child deaths due to respiratory infections; health services should be alerted as to the considerable presence of ill-defined or inconclusive codes (garbage codes) on death certificates. PERSPECTIVES: It is necessary to maintain the effectiveness of health actions among the mother and child population and to improve the records held on the Mortality Information System, in order to enable better monitoring of mortality as well as to enable analytical studies to be conducted. OBJECTIVE: to analyze temporal trends in mortality due to infectious respiratory disease in children under 12 years old in Minas Gerais, Brazil, from 2000 to 2020. METHODS: this was an ecological study using data on infectious respiratory disease in children under 12 years old registered on the Mortality Information System; the variables studied were etiological agent, anatomical site of infection and sex; trends were analyzed by joinpoint regression. RESULTS: of the 4,688 registered deaths, the etiological agent of the disease was unspecified for 84.5% of them, and 88% were due to lower respiratory tract infections; there was a decreasing trend in deaths and in the proportion of deaths due to unspecified etiologic agents; in 2020, there was an increase in deaths with viral etiology and systemic involvement. CONCLUSION: in addition to the change in the etiologic profile, there was a reduction in mortality due to infectious respiratory diseases in children, even considering 2020, the year of the COVID-19 pandemic.

A spatial analysis of co-circulating dengue and chikungunya virus infections during an epidemic in a region of Northeastern Brazil.

The aim of this study was to describe, through spatial analysis, the cases of arboviruses (dengue and chikungunya), including deaths, during the first epidemic after the circulation of the chikungunya virus (CHIKV) in the state of Pernambuco, Northeastern Brazil. This was an ecological study in both Pernambuco and the state capital, Recife, from 2015 to 2018. The odds ratios (OR) were estimated, and the statistical significance was considered p≤0.05. For the spatial analysis, Kulldorff's space-time scan statistics method was adopted to identify spatial clusters and to provide the relative risk (RR). In order to assess the significance at a level of p < 0.01 of the model, the number of Monte Carlo replications was 999 times. To perform the scan statistics we used the Poisson probability model, with a circular scanning window; annual temporal precision and retrospective analysis. A total of 227 deaths and 158,728 survivors from arboviruses was reported during the study period, with 100 deaths from dengue and 127 from CHIKV. The proportion of deaths from dengue was 0.08% and from chikungunya was 0.35%. The proportion of all those infected (deaths plus survivors) with dengue was 77.42% and with chikungunya was 22.58%. Children aged 0 to 9 years were around 3 times more likely to die than the reference group (OR 2.84; CI95% 1.16-5.00). From the age of 40, the chances of death increased significantly: 40-49 (OR 2.52; CI95% 1.19-5.29), 50-59 (OR 5.55; CI95% 2.76-11.17) and 60 or more (OR 14.90; CI95% 7.79-28.49). Males were approximately twice as likely to die as females (OR 1.77; CI95% 1.36-2.30). White-skinned people were less likely to die compared to non-white (OR 0.60; CI95% 0.41-0.87). The space-time analysis of prevalence in the state of Pernambuco revealed the presence of four clusters in the years 2015 and 2016, highlighting the Metropolitan Macro-region with a relative risk=4 and the Agreste and Hinterland macro-regions with a relative risk=3.3. The spatial distribution of the death rate in the municipality of Recife smoothed by the local empirical Bayesian estimator enabled a special pattern to be identified in the southwest and northeast of the municipality. The spatiotemporal analysis of the death rate revealed the presence of two clusters in the year 2015. In the primary cluster, it may be noted that the aforementioned aggregate presented a RR=7.2, and the secondary cluster presented a RR=6.0. The spatiotemporal analysis with Kulldorff's space-time scan statistics method, proved viable in identifying the risk areas for the occurrence of arboviruses, and could be included in surveillance routines so as to optimize prevention strategies during future epidemics.

Factors associated with death from dengue and chikungunya virus infection during an epidemic period in Northeast Brazil: A retrospective cohort study.

BACKGROUND: We investigated the time to death and factors associated with deaths from dengue and chikungunya during the first epidemic after the introduction of the chikungunya virus in Northeastern Brazil. METHODS: This retrospective cohort study was conducted in Pernambuco between 2015 and 2018. Logistic regression was used to identify independent risk factors. The probability of survival among individuals with different arbovirus infections was estimated and the survival curves were compared using log-rank tests. RESULTS: The lethality coefficients for dengue and chikungunya viruses were 0.08% and 0.35%, respectively. The chance of death due to chikungunya infection increased progressively from the age of 40 years. At 40-49 years, the odds ratio was 13.83 (95%CI, 1.80-106.41). At 50-59 years and 60 years or older, the odds ratio was 27.63 (95%CI, 3.70-206.48); and 78.72 (95%CI, 10.93-566.90), respectively. The probability of death associated with dengue virus infection increased from the age of 50 years. Among patients aged 50-59 years and 60 years or older, the odds ratio was 4.30 (95%CI, 1.80-10.30) and 8.97 (95%CI, 4.00-20.0), respectively. Independent factors associated death were headache and age of 50 years or older for dengue; and headache, nausea, back pain, intense arthralgia, age 0-9 years or 40 years and older, and male sex for chikungunya. The ratio between mortality rates revealed that the time to death from dengue was 2.1 times faster than that from chikungunya (95%CI, 1.57-2.72). CONCLUSIONS: The time to death was shorter in patients with dengue than in those with chikungunya disease. This study reinforces the need for faster and more effective decision-making in public health services to enhance patient outcomes and minimize mortality.

Spatial patterns of new leprosy cases in a northeastern state of Brazil, 2011-2021.

OBJECTIVE: To analyze the spatial patterns of leprosy in Pernambuco from 2011 to 2021. METHODS: This is an ecological epidemiological study, carried out with data from the Notifiable Diseases Information System, based on new cases of leprosy among inhabitants of Pernambuco, between 2011-2021. An empirical Bayesian analysis of local and spatial dependence was performed with the global and local Moran indices. RESULTS: 25,008 new cases of leprosy were registered with an annual case detection rate in the general population of 16.51 cases/100,000 inhabitants - which is considered high. Among those younger than 15 years of age, there were 5.16 cases/100,000 inhabitants (high) and 0.89/100,000 inhabitants with degree II of physical disability (low); there were also many high-risk cases with an overall Moran index of 0.33 (p<0.001), active transmission (0.26; p<0.001), and subsequent diagnosis of the disease (0.12; p<0.006), as well as distribution in macro-region 1 and macro-region 4. CONCLUSION: There was a heterogeneous spatial distribution in the state, showing two overviews, the first being the presence of municipalities with high risk of disease transmission and the second with clusters of silent municipalities, reinforcing the character of leprosy neglect as a major public health problem. This study brings reflections for leprosy control actions, due to the identification of priority areas to combat this disease in Pernambuco.

Temporal trend of mortality from infectious respiratory diseases in childhood in Minas Gerais, Brazil, 2000-2020 / Tendencia temporal de la mortalidad por enfermedades respiratorias infecciosas en la infancia en Minas Gerais, Brasil, 2000-2020 / Tendência temporal da mortalidade por doenças respiratórias infecciosas na infância, em Minas Gerais, 2000-2020

ABSTRACT Objective: to analyze temporal trends in mortality due to infectious respiratory disease in children under 12 years old in Minas Gerais, Brazil, from 2000 to 2020. Methods: this was an ecological study using data on infectious respiratory disease in children under 12 years old registered on the Mortality Information System; the variables studied were etiological agent, anatomical site of infection and sex; trends were analyzed by joinpoint regression. Results: of the 4,688 registered deaths, the etiological agent of the disease was unspecified for 84.5% of them, and 88% were due to lower respiratory tract infections; there was a decreasing trend in deaths and in the proportion of deaths due to unspecified etiologic agents; in 2020, there was an increase in deaths with viral etiology and systemic involvement. Conclusion: in addition to the change in the etiologic profile, there was a reduction in mortality due to infectious respiratory diseases in children, even considering 2020, the year of the COVID-19 pandemic.

RESUMEN Objetivo: analizar las tendencias temporales de mortalidad por enfermedades respiratorias infecciosas en niños de hasta 12 años incompletos en Minas Gerais, Brasil, de 2000 a 2020. Métodos: estudio ecológico con datos de muertes en niños de hasta 12 años incompletos, registradas en el Sistema de Información de Mortalidad; las variables estudiadas fueron: agente etiológico, sitio anatómico de infección y género; las tendencias se analizaron mediante la regresión jointpoint. Resultados: de las 4.688 muertes registradas, el 84,5% tenía un agente etiológico de la enfermedad no especificado y el 88% se debía a infecciones de las vías respiratorias bajas; hubo una tendencia decreciente en las muertes y en la proporción de muertes por agente no especificado; en 2020, hubo un aumento en el número de muertes de etiología viral y acometimiento sistémico. Conclusión: además del cambio en el perfil etiológico, hubo una reducción de la mortalidad por enfermedades respiratorias infecciosas en niños, incluso considerando 2020, año de la pandemia de Covid-19.

RESUMO Objetivo: analisar as tendências temporais de mortalidade por doença respiratória infecciosa em crianças com até 12 anos incompletos, Minas Gerais, Brasil, de 2000 a 2020. Métodos: estudo ecológico dos óbitos por doença respiratória infecciosa em crianças com até 12 anos incompletos, registrados no Sistema de Informações sobre Mortalidade; as variáveis estudadas foram o agente etiológico, o sítio anatômico da infecção e o sexo; as tendências foram analisadas por regressão joinpoint. Resultados: dos 4.688 óbitos registrados, 84,5% tiveram agente etiológico não especificado e 88% decorreram de infecções nas vias aéreas inferiores; observou-se tendência decrescente nos óbitos e na proporção de óbitos provocados por agente etiológico não especificado; em 2020, houve incremento do número de óbitos de etiologia viral e de acometimento sistêmico. Conclusão: além da alteração no perfil etiológico, notou-se redução da mortalidade por doenças respiratórias infecciosas em crianças - mesmo em 2020, ano de pandemia de covid-19.

Spatial patterns of new leprosy cases in a northeastern state of Brazil, 2011-2021 / Padrões espaciais dos casos novos de hanseníase em um estado nordestino do Brasil, 2011-2021

ABSTRACT Objective: To analyze the spatial patterns of leprosy in Pernambuco from 2011 to 2021. Methods: This is an ecological epidemiological study, carried out with data from the Notifiable Diseases Information System, based on new cases of leprosy among inhabitants of Pernambuco, between 2011-2021. An empirical Bayesian analysis of local and spatial dependence was performed with the global and local Moran indices. Results: 25,008 new cases of leprosy were registered with an annual case detection rate in the general population of 16.51 cases/100,000 inhabitants — which is considered high. Among those younger than 15 years of age, there were 5.16 cases/100,000 inhabitants (high) and 0.89/100,000 inhabitants with degree II of physical disability (low); there were also many high-risk cases with an overall Moran index of 0.33 (p<0.001), active transmission (0.26; p<0.001), and subsequent diagnosis of the disease (0.12; p<0.006), as well as distribution in macro-region 1 and macro-region 4. Conclusion: There was a heterogeneous spatial distribution in the state, showing two overviews, the first being the presence of municipalities with high risk of disease transmission and the second with clusters of silent municipalities, reinforcing the character of leprosy neglect as a major public health problem. This study brings reflections for leprosy control actions, due to the identification of priority areas to combat this disease in Pernambuco.

RESUMO Objetivo: Analisar os padrões espaciais da hanseníase em Pernambuco no período de 2011 a 2021. Métodos: Trata-se de um estudo epidemiológico ecológico, realizado com dados do Sistema de Informações de Agravos de Notificação com base nos casos novos de hanseníase em residentes de Pernambuco, entre 2011-2021. Foi realizada uma análise bayesiana empírica local e de dependência espacial com os índices de Moran global e local. Resultados: Foram registrados 25.008 casos novos de hanseníase com coeficiente médio anual de detecção de casos novos na população geral de 16,51 casos/100 mil habitantes — classificado como alto. Na população menor de 15 anos, ocorreu 5,16 casos/100 mil habitantes (muito alto) e 0,89/100 mil habitantes com grau II de incapacidade física (baixo) com aglomerados de alto risco para ocorrência com índice global de Moran de 0,33 (p<0,001), transmissão ativa (0,26; p<0,001) e diagnóstico tardio da doença (0,12; p<0,006), localizados na macrorregião 1 e na macrorregião 4. Conclusão: Houve uma distribuição espacial heterogênea no estado, evidenciando dois panoramas, o primeiro, a presença de municípios com alto risco de transmissão da doença e, o segundo, aglomerados de municípios silenciosos reforçando o caráter de negligência da hanseníase como grande problema de saúde pública. Este estudo traz reflexões para ações de controle da hanseníase, dada a identificação de áreas prioritárias para o enfrentamento dess/a doença em Pernambuco.

Factors associated with death from dengue and chikungunya virus infection during an epidemic period in Northeast Brazil: A retrospective cohort study

ABSTRACT Background: We investigated the time to death and factors associated with deaths from dengue and chikungunya during the first epidemic after the introduction of the chikungunya virus in Northeastern Brazil. Methods: This retrospective cohort study was conducted in Pernambuco between 2015 and 2018. Logistic regression was used to identify independent risk factors. The probability of survival among individuals with different arbovirus infections was estimated and the survival curves were compared using log-rank tests. Results: The lethality coefficients for dengue and chikungunya viruses were 0.08% and 0.35%, respectively. The chance of death due to chikungunya infection increased progressively from the age of 40 years. At 40-49 years, the odds ratio was 13.83 (95%CI, 1.80-106.41). At 50-59 years and 60 years or older, the odds ratio was 27.63 (95%CI, 3.70-206.48); and 78.72 (95%CI, 10.93-566.90), respectively. The probability of death associated with dengue virus infection increased from the age of 50 years. Among patients aged 50-59 years and 60 years or older, the odds ratio was 4.30 (95%CI, 1.80-10.30) and 8.97 (95%CI, 4.00-20.0), respectively. Independent factors associated death were headache and age of 50 years or older for dengue; and headache, nausea, back pain, intense arthralgia, age 0-9 years or 40 years and older, and male sex for chikungunya. The ratio between mortality rates revealed that the time to death from dengue was 2.1 times faster than that from chikungunya (95%CI, 1.57-2.72). Conclusions: The time to death was shorter in patients with dengue than in those with chikungunya disease. This study reinforces the need for faster and more effective decision-making in public health services to enhance patient outcomes and minimize mortality.

Infant mortality in a Brazilian Northeast State between 2009 and 2018: a temporal space approach / Mortalidade infantil em um estado do Nordeste Brasileiro entre os anos de 2009 e 2018: uma abordagem espaço temporal

Abstract Objective: to present the epidemiological profile of infant mortality and neonatal and post neonatal components, in addition to the temporal dynamics of these events in Pernambuco State between 2009 and 2018. Methods: descriptive, ecological, temporal space study of infant mortality in Pernambuco between 2009 and 2018. Epidemiological and temporal space characteristics were described using the Sistema de Informação sobre Mortalidade (Mortality Information System) and the Sistema de Informação sobre Nascidos vivos.(Information System on Live Births) as data sources. Results: there were 19,436 infant deaths in the period; 13,546 (69.7%) in the neonatal period and 5,890 (30.3%) in the post neonatal period. Male (55.4%), non-white children (74.7%) with low birth weight (63.5%) predominated; mothers were aged between 20 and 29 years (46.6%), with 8-11 years of schooling (43.9%) and preterm pregnancy (65.2%). Although the infant mortality rate decreased during the analyzed decade, high rates persisted in cities in the Sertão (backwoods) and Vale do São Francisco and Araripe macroregions of health services. Conclusions: even though infant mortality declined over the years studied, it is necessary to achieve better rates and confront inequalities and other obstacles that perpetuate the event in Pernambuco State.

Resumo Objetivos: apresentar o perfil epidemiológico da mortalidade infantil e dos componentes neonatal e pós-neonatal, além da dinâmica espaço temporal desses eventos em Pernambuco, entre os anos de 2009 e 2018. Métodos: estudo descritivo e ecológico, de abordagem espaço temporal, da mortalidade infantil de Pernambuco entre 2009 e 2018. Foram descritas características epidemiológicas e espaço temporais, tendo como fonte de dados o Sistema de Informação sobre Mortalidade e o Sistema de Informação sobre Nascidos vivos. Resultados: ocorreram 19.436 óbitos infantis no período, sendo 13.546 (69,7%) no período neonatal e 5.890 (30,3%) no período pós neonatal. Predominaram crianças do sexo masculino (55,4%), não brancas (74,7%), com baixo peso ao nascer (63,5%), sendo as mães com idade entre 20 e 29 anos (46,6%), com escolaridade entre oito e 11 anos (43,9%) e com gestação pré-termo (65,2%). Houve decréscimo da taxa de mortalidade infantil durante a década analisada, entretanto elevadas taxas persistiram em municípios das Macrorregiões de saúde Sertão e Vale do São Francisco e Araripe. Conclusões: a mortalidade infantil apresentou cenário de queda ao longo dos anos estudados, todavia é necessário o alcance de melhores taxas, o enfrentamento às desigualdades e a outros entraves que perpetuam o evento no estado de Pernambuco.

Efeito da pandemia da COVID-19 sobre os casos novos de tuberculose no Brasil: uma análise temporal e espacial / Effect of COVID-19 Pandemic on New Cases of Tuberculosis in Brazil: A Temporal and Spatial Analysis

Objetivou-se analisar, por meio do padrão espacial e temporal, o efeito da pandemia de COVID-19 na detecção de casos novos de tuberculose no Brasil. Trata-se de um estudo ecológico, que adotou a taxa média de detecção de casos novos de tuberculose no período pré-pandemia (2016 a 2019) e pandêmico (2020). Na análise espacial foi calculada a variação percentual da detecção para regiões brasileiras e estados e a razão de risco entre as taxas de detecção suavizadas, por meio do método empírico bayesiano local, para os municípios. A análise de tendência temporal foi realizada por meio da Regressão de Joinpoint, sendo o mês de detecção a unidade de análise. Observou-se a redução da taxa de detecção de tuberculose em todas as regiões brasileiras e em 81,5% dos estados. Aproximadamente 60,0% dos municípios apresentaram estabilização ou decréscimo das taxas de detecção. A análise temporal revelou que todas as regiões apresentavam, desde 2016, tendência de aumento de detecção de casos e que, sobretudo no primeiro semestre de 2020, foi identificada forte tendência a redução das taxas. A mudança da organização dos serviços de saúde impostos pela pandemia pode ter influenciado a subnotificação de casos e consequente redução das taxas de detecção da tuberculose.

This study aimed to analyze, through the spatial and temporal patterns, the effect of the COVID-19 pandemic in the detection of new cases of tuberculosis in Brazil. This is an ecological study, which adopted the average rate of detection of new cases of tuberculosis in the pre-pandemic (2016 to 2019) and pandemic (2020) periods. The spatial analysis was calculated using the percent variation of detection in Brazilian regions and states and the risk ratio between smoother detection rates through the local Bayesian empirical method for municipalities. The temporal trend analysis was performed through Joinpoint regression, with the month of detection as the unit of analysis. A reduction of the tuberculosis detection rate was observed in all Brazilian regions and in 81.5% of states. Approximately 60.0% of municipalities showed stabilization or a decrease in detection rates. Time analysis revealed that all regions had, since 2016, a trend of increased case detection and that, especially in the first half of 2020, a strong decreasing rate was identified. Changing the organization of healthcare services imposed by pandemic may have influenced the under-reporting of cases and consequent reduction of tuberculosis detection rates.

Evolução da completude das informações sobre suicídios no estado de Pernambuco, Brasil, 1996 a 2015 / Evolution of the information completeness on suicides in the state of Pernambuco, Brazil, from 1996 to 2015

Resumo Introdução O suicídio representa um importante problema de saúde pública no mundo. Considerado um fenômeno complexo, está associado a fatores sociais, biológicos e demográficos. A qualidade dos dados registrados na declaração de óbito é fundamental para conhecer a magnitude deste problema e subsidiar a construção de indicadores epidemiológicos que contribuem para a eficiência da gestão em saúde. Objetivo Analisar a evolução da completude dos registros de suicídio do Sistema de Informações sobre Mortalidade (SIM) no estado de Pernambuco, entre 1996 e 2015. Métodos Calculou-se a proporção de completude das variáveis da Declaração de Óbito. Para análise da tendência da completude, empregou-se o modelo de regressão Joinpoint. Resultados Houve tendência de aumento de completude das variáveis analisadas, com destaque para "raça/cor", "estado civil" e "escolaridade", com aumento superior a 60,0%. Conclusão A análise de tendência temporal mostrou melhoria no preenchimento dos dados sobre suicídio no SIM, porém, ainda figura o desafio de alcançar menos de 5,0% de incompletude para todas as variáveis. A avaliação da completude dos registros de suicídio contribui com o sistema de vigilância e com o aprimoramento das estatísticas vitais relacionadas às causas externas.

Abstract Background Suicide represents an important public health problem in the world. Considered a complex phenomenon it is associated with social, biological and demographic factors. The quality of the data registered in the Death Certificate is fundamental to know the magnitude of this problem and subsidizes the construction of epidemiological indicators that contribute to the efficiency of health management. Objective To analyze the evolution of the completeness of suicide records in the mortality information system (SIM) of the state of Pernambuco, between 1996 and 2015. Method The proportion of completeness of the death certificate variables was calculated. For the analysis of the completeness trend, the Joinpoint Regression model was used. Results There was a tendency to increase the completeness of the variables analyzed, with an emphasis on "race/color", "marital status", and "education level", with an increase of more than 60%. Conclusion Analysis of temporal trends showed an improvement in the filling of suicide data into the SIM. However, the challenge remains to reach less than 5% incompleteness across all variables. The assessment of the completeness of suicide records in the SIM is relevant for contributing to the suicide surveillance system and for the improvement of vital statistics related to external causes.

Spatial analysis of female intentional homicides. / Análise espacial dos homicídios intencionais de mulheres.

OBJECTIVE: To analyze the characteristics and spatial distribution of female intentional homicides, according to the regional health offices, in a state in the Northeast Region of Brazil. METHOD: This is an ecological study that had the municipality and regional health offices as units of analysis and used data from the Brazilian Mortality Information System. Mortality rates were calculated and smoothed by the local empirical Bayesian method. To identify the existence of spatial autocorrelation, the Moran's index was used. RESULTS: A total of 1,144 homicides were reported, with an average rate of 6.2/100,000 women. For all regional health offices, the 10-39 age group, black race/skin color, and single marital status prevailed. The homicides took place in public spaces. The days of the week with the highest records were Saturday and Sunday and the months of the year December, January, February, and June. The global Moran's index was 0.6 (p = 0.01). Clusters of municipalities with high homicide rates were identified in regional health offices III and IV. CONCLUSIONS: The homicide victims were young, black, and single. The spatial analysis found critical areas of homicide occurrence, which are a priority for actions to prevent violence against women.

Spatial patterns of fetal mortality: scenario before and after the implementation of surveillance / Padrões espaciais da mortalidade fetal: cenário anterior e posterior à implantação da vigilância

Abstract Objectives: to analyze the spatial distribution of fetal deaths before and after implementation of surveillance for this event in the city of Recife, in the Northeast Region of Brazil. Methods: an ecological study whose spatial analysis unit was the 94 neighborhoods. The gross fetal mortality rates were calculated and the local empirical Bayesian estimator was adopted to smooth out random fluctuations of such rates. To analyze the spatial autocorrelation, the Global Moran's Index was used, and spatial clusters were located by the Local Moran's Index. Results: during the period before implementation of death surveillance, 1,356 fetal deaths were reported, a coefficient of 9.9 deaths per thousand births. During the second period, 1,325 fetal deaths occurred, a coefficient of 9.6 deaths per thousand births. The Global Moran's Indexes (I) were I=0.6 and I=0.4 for the first and second periods, respectively, with statistical significance (p<0.05). For both periods analyzed, spatial clusters of high-risk neighborhoods were identified in the northern and eastern regions of the city. Conclusion: the spatial analysis indicated areas that persist as priorities for planning surveillance and health assistance actions to reduce fetal mortality.

Resumo Objetivos: analisar a distribuição espacial dos óbitos fetais, antes e após a implantação da vigilância deste evento, na cidade do Recife, Nordeste do Brasil. Métodos: estudo ecológico utilizando os 94 bairros existentes como unidade de análise espacial. Foram calculados os coeficientes de mortalidade fetal brutos e empregado o estimador bayesiano empírico local para a suavização de flutuações aleatórias desses coeficientes. A autocorrelação espacial foi analisada com a utilização do Índice de Moran Global e agregados espaciais foram identificados pelo Moran Local. Resultados: foram registrados 1.356 óbitos fetais (coeficiente de mortalidade de 9,9 óbitos por mil nascimentos) e 1.325 óbitos fetais (coeficiente de 9,6 óbitos por mil nascimentos), nos períodos anterior e posterior à implantação da vigilância do óbito, respectivamente. Houve diferença estatisticamente significante (p<0,05) entre os índices de Moran Global (I) dos períodos anterior (I=0,6) e posterior (I=0,4) à implantação da vigilância. Identificaram-se agregados espaciais nos bairros das regiões Norte e Leste da cidade, como maior risco de mortalidade fetal. Conclusão: a análise espacial apontou áreas que persistem como prioritárias para o planejamento de ações de vigilância e assistência à saúde para a redução da mortalidade fetal.

COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index.

INTRODUCTION: Health planning is required for the control and prevention of severe cases of COVID-19 in children. METHODS: Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted. RESULTS: A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001). CONCLUSIONS: Considering the local particularities can assist in directing the priorities for decision making.

COVID-19 in children in the state of Pernambuco: Spatial analysis of confirmed severe cases and the Human Development Index

Abstract INTRODUCTION: Health planning is required for the control and prevention of severe cases of COVID-19 in children. METHODS: Spatial analysis of severe COVID-19 cases in children of Pernambuco in the first six months of the pandemic and its autocorrelation with the Human Development Index was conducted. RESULTS: A total of 551 severe cases (39.4 cases/100,000 inhabitants) was initially concentrated in the metropolitan area, with later interiorization. The spatial autocorrelation of cases was identified. The bivariate analysis revealed alert regions in less developed municipalities (I=0.341; p=0.001). CONCLUSIONS: Considering the local particularities can assist in directing the priorities for decision making.

Análise espacial dos homicídios intencionais de mulheres / Análisis espacial de los homicidios intencionales de mujeres / Spatial analysis of female intentional homicides

RESUMO Objetivo Analisar as características e a distribuição espacial dos homicídios intencionais de mulheres, de acordo com as regionais de saúde, em um estado da Região Nordeste do Brasil. Método Estudo ecológico que teve o município e as regiões de saúde como unidades de análise e usou dados do Sistema de Informações sobre Mortalidade. Calcularam-se as taxas de mortalidade, que foram suavizadas pelo método bayesiano empírico local. Para identificação da existência de autocorrelação espacial, utilizou-se o índice de Moran. Resultados Registraram-se 1.144 homicídios, com taxa média de 6,2/100.000 mulheres. Para todas as regiões de saúde prevaleceram a faixa etária de 10 a 39 anos, a raça/cor negra e a situação conjugal solteira. Os homicídios ocorreram em via pública. Os dias da semana com maiores registros foram sábado e domingo e os meses do ano dezembro, janeiro, fevereiro e junho. O índice de Moran global foi de 0,6 (p = 0,01). Identificaram-se clusters de municípios com altas taxas de homicídios nas III e IV regiões de saúde. Conclusões As vítimas de homicídios eram jovens, negras e solteiras. A análise espacial localizou áreas críticas de ocorrência de homicídios, que são prioritárias para as ações de prevenção da violência contra as mulheres.

RESUMEN Objetivo Analizar las características y la distribución espacial de los homicidios intencionales de mujeres, de acuerdo con las regionales de salud, en una provincia de la Región Noreste de Brasil. Método Estudio ecológico que utilizó el municipio y las regiones de salud como unidades de análisis y empleó datos del Sistema de Informaciones sobre Mortalidad. Se calcularon las tasas de mortalidad que fueron mitigadas por el método bayesiano empírico local. Se utilizó el índice de Moran para identificación de la existencia de autocorrelación espacial. Resultados Fueron registrados 1.144 homicidios con un promedio de 6,2/100.000 mujeres. En todas las regiones de salud predominaron mujeres con edades entre 10 y 39 años, de raza/color negro y solteras. Los homicidios ocurrieran en vía pública. Los días en los que más ocurrieron fueron sábado y domingo y los meses diciembre, enero, febrero y junio. El índice de Moran global fue 0,6 (p = 0,01). Se identificaron clusters de municipios con altas tasas de homicidios en las III y IV regiones de salud. Consideraciones Finales Las victimas de homicidios eran jóvenes, negras y solteras. El análisis espacial localizó áreas críticas de ocurrencia de homicidios, que son prioritarias para las acciones preventivas de la violencia contra las mujeres.

ABSTRACT Objective To analyze the characteristics and spatial distribution of female intentional homicides, according to the regional health offices, in a state in the Northeast Region of Brazil. Method This is an ecological study that had the municipality and regional health offices as units of analysis and used data from the Brazilian Mortality Information System. Mortality rates were calculated and smoothed by the local empirical Bayesian method. To identify the existence of spatial autocorrelation, the Moran's index was used. Results A total of 1,144 homicides were reported, with an average rate of 6.2/100,000 women. For all regional health offices, the 10-39 age group, black race/skin color, and single marital status prevailed. The homicides took place in public spaces. The days of the week with the highest records were Saturday and Sunday and the months of the year December, January, February, and June. The global Moran's index was 0.6 (p = 0.01). Clusters of municipalities with high homicide rates were identified in regional health offices III and IV. Conclusions The homicide victims were young, black, and single. The spatial analysis found critical areas of homicide occurrence, which are a priority for actions to prevent violence against women.

The first hundred days of COVID-19 in Pernambuco State, Brazil: epidemiology in historical context. / Cem dias de COVID-19 em Pernambuco, Brasil: a epidemiologia em contexto histórico.

The timeline of the COVID-19 pandemic began on December 31, 2019, in China, with SARS-CoV-2 identified as the etiological agent. This article aims to describe the COVID-19 epidemic's spatial and temporal dynamics in the first hundred days in the State of Pernambuco, Brazil. We present the evolution in cases and deaths according to epidemiological weeks. We analyzed the series of accumulated daily confirmed COVID-19 cases, with projections for the subsequent 15 days, using the JoinPoint app. This software allows identifying turning points, testing their statistical significance. We also analyze the trend in the spread of COVID-19 to the interior of the state, considering the percent distribution of cases in the state capital, Recife, municipalities in Greater Metropolitan Recife, and the state's interior, by sets of three weeks, constructing thematic maps. The first hundred days of the COVID-19 epidemic resulted in 52,213 cases and 4,235 deaths from March 12, or epidemiological week 11, until June 20, 2020 (epidemiological week 25). The peak in the epidemic curve occurred in epidemiological week 21 (May 23), followed by deceleration in the number of cases. We initially detected the spread of cases from the city center to the periphery of the state capital and Metropolitan Area, followed by rapid spread to the state's interior. There was a decrease in the mean daily growth starting in April, but with an average threshold of more than 6,000 weekly cases of COVID-19. At the end of the period, the state's case series indicates the persistence of SARS-CoV-2 circulation and community transmission. Finally, paraphrasing Gabriel Garcia Marques in One Hundred Years of Solitude, we ask whether we are facing "a pause in the storm or a sign of redoubled rain".

A pandemia de COVID-19 iniciou sua linha do tempo em 31 de dezembro de 2019 na China e o SARS-CoV-2 identificado como agente etiológico. O objetivo deste manuscrito é descrever a dinâmica espacial e temporal da epidemia de COVID-19 nos primeiros cem dias, no Estado de Pernambuco, Brasil. Apresentamos a evolução de casos e óbitos segundo semana epidemiológica. Realizamos a análise da série do acumulado diário de casos da COVID-19 confirmados, com projeções para os 15 dias subsequentes, utilizando o aplicativo JoinPoint. Esse programa possibilita identificar pontos de inflexão testando sua significância estatística. Analisamos também a tendência de interiorização da COVID-19 no estado, considerando a distribuição percentual de casos ocorridos no Recife, municípios da Região Metropolitana de Recife e do interior, por conjuntos de três semanas, com construção de mapas temáticos. Os 100 dias da epidemia de COVID-19 resultaram em 52.213 casos e 4.235 óbitos entre 12 de março, correspondendo se 11, até 20 de junho de 2020 (semana epidemiológica 25). O pico da curva epidêmica ocorreu na semana epidemiológica 21 (23 de maio), seguido por desaceleração do número de casos. Detectou-se, inicialmente, a periferização dos casos na capital e região metropolitana, seguida por rápida disseminação para o interior do estado. Houve redução das taxas de crescimento médio diário a partir de abril, mas com patamar de mais de 6.000 casos semanais de COVID-19, em média. Ao final do período, a série de casos do estado indica persistência da circulação e transmissão comunitária do SARS-CoV-2. Finalmente, questiona-se parafraseando Garcia Marques em Cem Anos de Solidão, se estaríamos diante de "uma estiagem ou prenúncio de recrudescimento".

La pandemia de COVID-19 inicia su línea del tiempo el 31 de dicembre de 2019 en China y el SARS-CoV-2 identificado como agente etiológico. El objetivo de este trabajo original es describir la dinámica espacial y temporal de la epidemia de COVID-19 en los primeros cien días de epidemia, en el estado de Pernambuco, Brasil. Presentamos la evolución de casos y óbitos según las semanas epidemiológicas. Realizamos el análisis de la serie del acumulado diario de casos de COVID-19 confirmados, con proyecciones para los 15 días subsiguientes, utilizándose la aplicación JoinPoint. Este programa posibilita identificar puntos de inflexión, probando su significancia estadística. Analizamos también la tendencia de interiorización de la COVID-19 en el estado, considerándose la distribución porcentual de casos ocurridos en Recife, municipios de la Región Metropolitana de Recife y del interior, por conjuntos de tres semanas, con unas construcciones de mapas temáticos. Los cien días de la epidemia de COVID-19 resultaron en 52.213 casos y 4.235 óbitos entre el 12 de marzo, correspondiendo a la semana epidemiológica 11, hasta el 20 de juno de 2020 (semana epidemiológica 25). El pico de la curva epidémica ocurrió en la semana epidemiológica 21 (23 de mayo), seguido de una desaceleración en el número de casos. Se detectó, inicialmente, la periferización de los casos en la capital y región metropolitana, seguido por la rápida diseminación hacia el interior del estado. Hubo una reducción de las tasas de crecimiento medio diario a partir de abril, pero con un nivel de más de 6.000 casos semanales de COVID-19 de media. Al final del período la serie de casos del estado indica la persistencia de la circulación y transmisión comunitaria del SARS-CoV-2. Finalmente, se cuestiona, parafraseando a García Márquez en Cien Años de Soledad, si estamos ante "un periodo de remisión o la antesala de un recrudecimiento".

Severe Acute Respiratory Syndrome in Pernambuco: comparison of patterns before and during the COVID-19 pandemic. / Síndrome Respiratória Aguda Grave em Pernambuco: comparativo dos padrões antes e durante a pandemia de COVID-19.

The aim of this study was to analyze the Severe Acute Respiratory Syndrome (SARS) pattern in Pernambuco before and during a COVID-19 pandemic. Ecological study conducted from January to June, 2015 to 2019 and from January 1 to June 15, 2020. The detection rates by municipality and by Regional Health of residence were calculated. The spatial area of SARS was estimated through the risk ratio. Before the pandemic, there were 5,617 cases of SARS, 187 cases/month and 23.8 cases/100 thousand inhabitants, while during the pandemic there were 15,100 cases, 2,516 cases/month and 320.3 cases/100 thousand inhabitants, which represents a 13-fold increase in detection. The following expanded (p < 0,001): the occurrence in elderly people, the collection of samples and the identification of SARS etiological agent with predominance of SARS by COVID-19. Most municipalities experienced a 20-fold higher detection than expected, suggesting a process of virus spread to the hinterlands. The excess risk associate with lower IDHM, the condition of the municipality being the headquarters of the Regional Health and the presence of a highway in the municipality. The change in the pattern of occurrence of SRAG, combined with Spatial analysis may contribute to action planning at different levels of management.

Foi analisado o padrão da Síndrome Respiratória Aguda Grave (SRAG) em Pernambuco antes e durante período pandêmico da COVID-19. Estudo ecológico, de janeiro a junho de 2015 a 2019 (período pré-pandemia) e 01 de janeiro a 15 de junho de 2020, período que contempla parte inicial da pandemia. Taxas de detecção por município e Regional de Saúde de residência foram calculadas e, por meio da razão de risco, a dinâmica espacial da SRAG foi estimada. Na pré-pandemia ocorreram 5.617 casos de SRAG, 187 casos/mês e 23,8 casos/100 mil hab. e, na pandemia, 15.100 casos, 2.516 casos/mês e 320,3 casos/100 mil hab., um aumento da detecção mensal em 13 vezes. Foi ampliada (p < 0,001) a ocorrência em idosos (de 7,7% para 48,3%), a coleta de amostras (de 60,9% para 96,5%) e a identificação do agente etiológico causador da SRAG, com predomínio da SRAG por COVID-19 (66,0%). Regiões do interior do estado tiveram razão de detecção de SRAG 20 vezes superior à esperada, sendo o excesso de risco associado a menor IDHM, a condição do município ser sede de Regional de Saúde e a presença de rodovia federal no território municipal. Conhecer a mudança do padrão da ocorrência da SRAG, aliada a análise espacial poderão contribuir para o planejamento de ações a curto e médio prazo nos diferentes níveis de gestão.

Spatial analysis of inequalities in fetal and infant mortality due to avoidable causes.

OBJECTIVES: to analyze social inequalities in spatial distribution of fetal and infant mortality by avoidable causes and identify the areas of greater risk of occurrence. METHODS: avoidable deaths of fetal and infant residents of Recife/Brazil were studied. The rates of avoidable fetal and infant mortality were calculated for two five-year periods, 2006-2010 and 2011-2015. The scan statistics was used for spatial analysis and related to the social deprivation index. RESULTS: out of the total 2,210 fetal deaths, 80% were preventable. Avoidable fetal mortality rates increased by 8.1% in the five-year periods. Of the 2,846 infant deaths, 74% were avoidable, and the infant mortality rate reduced by 0.13%. CONCLUSIONS: in the spatial analysis, were identified clusters with higher risk for deaths. The social deprivation index showed sensibility with areas of worse living conditions.

Mortality by suicide in the State of Pernambuco, Brazil (1996-2015).

OBJECTIVE: To describe the epidemiological characteristics of suicide mortality in the state of Pernambuco, from 1996 to 2015. METHOD: Study with data from the Sistema de Informações sobre Mortalidade. The simple linear regression model was used to verify the trend in the period analyzed. RESULTS: There were 6,229 suicides, of which 3,390 (54.4%) occurred in the second decade of study. The mortality rate was 4.7 per 100,000 inhabitants. The temporal trend presented a decrease of 23.5% (p=0.031). For the male sex and the age range between 20 and 39 years, there was a decline in self-inflicted death of 23.8% (p=0.018) and 26.1% (p=0.046), respectively. CONCLUSION: The temporal analysis revealed a reduction in suicide mortality coefficients. This observation may contribute to better targeting of health interventions, optimizing resources and efforts, especially in suicide prevention.