Objective: Identify the quality of life of women treated for cervical cancer according to their clinical and socioeconomic characteristics. Methods: This was a analytical study on women who were treated for cervical cancer by means of surgery, radiotherapy and chemotherapy. To evaluate their quality of life, the WHOQOL-bref questionnaire was applied. The Mann-Whitney test was used to investigate associations between domains and variables. Results: There were associations (p < 0.05) between the WHOQOL-bref domains and the variables of income, conjugal situation, leisure activities and treatment undergone. The physical and psychological domains were associated with overall quality of life (R = 0.54 and R = 0.63, respectively). Conclusions: Socioeconomic conditions and the type of treatment undergone influenced the quality of life of these women after their treatment. There is a need to increase the reach of cervical cancer screening among women who are less economically favored; and, after treatment, to offer alternative measures that soften the secondary effects.

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.

Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality. Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index. In the spatial analysis, the local empirical Bayesian estimator was applied and Moran's spatial autocorrelation was verified. Results: The social deprivation index selected two factors that, together, explained 77.63% of the total variance. The preventable fetal mortality rate increased among strata of social need, with rates of 8.0 per thousand births (low deprivation), 8.1 per thousand (medium deprivation), 8.8 per thousand (high deprivation), and 10.7 per thousand (very high social deprivation). Some municipalities in the São Francisco and Sertão Mesoregions had both high fetal and preventable fetal mortality, in addition to a very high social deprivation rate. Conclusion: The spatial analysis identified areas with the highest risk for fetal mortality. The social deprivation index listed some determinants of fetal deaths in areas with worse living conditions. Priority areas for intervention in public policies to reduce fetal mortality and its determinants were detected.

This paper investigates the impact of the COVID-19 pandemic in the time series of female homicides in the state of Pernambuco, Northeast of Brazil. Microdata on lethal violent crimes from the Department of Social Defense from 2015 to 2020 was used. The homicide rates were analyzed using joinpoint regression models. The results showed an upward trend in homicide rates in the Sertão mesoregion and within the 20 to 39 age group in 2020. It is concluded that confinement and social distancing aggravated the violence against women, showing the need for intersectoral planning and measures to prevent and reduce female homicides.

Objectives To analyze the spatial-temporal patterns of fetal mortality according to its relationship with social vulnerability, identifying priority areas for intervention. Methods Ecological study conducted in the state of Pernambuco, Northeast region of Brazil, from 2011 to 2018. The mean fetal mortality rate per city was calculated for the studied period. A cluster analysis was performed to select cities with homogeneous characteristics regarding fetal mortality and social vulnerability, then the Attribute Weighting Algorithm and Pearson correlation techniques were employed. In the spatial analysis it was used the local empirical Bayesian modeling and global and local Moran statistics. Results Twelve thousand nine hundred and twelve thousand fetal deaths were registered. The fetal mortality rate for the period was 11.44 fetal deaths per 1,000 births. The number of groups formed was 7, in which correlation was identified between fetal mortality and dimensions, highlighting the correlations between fetal mortality rate and the Index of Social Vulnerability urban infrastructure for the municipalities in group 1 and 5, the values of the correlations found were 0.478 and 0.674 respectively. The spatial analysis identified areas of higher risk for fetal mortality distributed in regions of medium, high and very high social vulnerability. Conclusions The study allowed observing the existing correlations between fetal mortality and social vulnerability and identifying priority areas for intervention, with a view to reducing fetal mortality in the state.