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Date Room Facilities: Adult. More Campina please. Gebruik 5 of meer karakters. Xxx couples want fuck Especially those admirable not very young any Sex dating Campina Grande. Studies of violence and health in Brazil have, however, mostly focussed on the medical characteristics of injuries. Hospital reports typically include minimal or no information relating to the event. In response to the pressing need for targeted violence prevention and response, this study aims to map and describe the cases of physical violence in the urban area of Campina Grande, located in Northeastern Brazil, and to evaluate the association between sociodemographic, temporal and incident characteristics of violence.

We also include selected socio-epidemiological characteristics of victims and their neighbourhoods to inform violence prevention and response strategies in low- and middle-income countries. We examined three years of violent incidents from to in Campina Grande, a Brazilian city located in the Northeastern region. The urban area has two public universities, many private colleges, and a large commercial and industrial presence. The study area was home to residents in [ 17 ] and is one of the largest cities in Northeastern Brazil, excluding the state capitals.

The urban area is divided into north, south, east, and west zones.

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There are many informal settlements that are unrecognised by the local government. Officially, the city comprised 49 neighbourhoods at the time of this study. This Forensic Center is a Scientific Civil Police Service wherein the victims of violence are examined by a trauma physician. The reports are then used to assist with criminal proceedings.

Before being admitted to the Forensic Center for examination, a victim must file a police report. Victims who do not file a report are therefore not included in this study, as is unfortunately common in studies of interpersonal violence. Data extraction was conducted by manually reading trauma reports and subsequently obtaining data regarding variables of interest.

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Two researchers conducted these procedures following a training session, through which we sought to standardize the search phase. Thereafter, we completed a pilot study to validate the data extraction and digitization protocols. Based on 30 reports from the year which were not included in this study , we identified some between-examiner error in event description, and therefore updated and delivered a new training program.

The second-phase intra-examiner difference 50 reports from , which were included in this study resulted in a Kappa score of 0. Two members of the research team manually digitised paper reports, corresponding to the total number of violence-related cases between and Statistical analyses were performed using SPSS v.

We elected to use an alpha threshold of 0. Chi-square, binary- and multiple logistic regression were used to assess the association among sociodemographic, temporal, incident characteristics and domestic violence.

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The variables that were statistically associated with domestic violence were maintained in the final model. The education and location of occurrence were excluded from the multivariable analysis due to the high percentage of missing data. Hotspots are areas with the highest concentration of violence victims, which appear as an intense red color in the maps.

Each household was mapped as a point using ArcGIS v. A total of cases were successfully mapped This technique is commonly used to identify clusters of point locations, and has been applied and validated in studies of violent trauma [ 11 , 19 , 20 ]. The purpose of the density analysis was to highlight absolute concentrations of victim households, not rates per capita , because resource allocation e.

A kernel bandwidth of metres was selected, as this parameter was found to best represent the apparent spatial pattern of points while also approximating the radius of the average neighbourhood in the study area. An output cell size of 10 metres was selected, as this represented the approximate geographical precision of injury points, as evaluated visually and with local knowledge of the study area.

To correlate the number of victims and the local population we calculated violent injury rates per square kilometer using census tract populations. The Brazilian census tract is smaller than a neighborhood, which included many census tracts. We also conducted a descriptive analysis of the hotspots, focussing on victim age and sex, aggressor sex, type of violence, and average family income per census tract Brazilian census, [ 18 ] in which the victims were residing at the time of the incident. Sociodemographic, temporal, and incident characteristics of victims were explored, as reported in Table 1 , and Figs 1 and 2.

The majority of victims were young working adults, single, with primary school completed. Temporally, we observed a peak of occurrence on Sundays and evenings.

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Most incident data were related to bodily injury and affected more than one anatomical region. Fig 1 shows a great number of female victims of domestic violence, while male aggressors represent the majority of community violence incidents. In domestic violence, the aggression by an intimate partner was very high. In community violence, the aggression perpetrated by a person unknown to the victim was higher for male victims compared to female Fig 2.

Odds ratios representing the chance for domestic violence were shown in Table 2. The final logistic model included the following significant variables: victim sex; marital status; mechanism of injury; and aggressor sex. A small number of domestic violence cases involved firearms. These associations were independent of the age of the victims.

The use of GIS facilitated an exploration of violence and potential demographic covariates through a spatial lens. By mapping the place of residence for victims, we were able to delineate the areas of highest density, as shown in Fig 3. Seven prominent hotspots were identified: the East Zone, a large informal neighbourhood, and five distinct residential areas.

The highest density of cases was found in the East Zone, while the West Zone and South Zone featured no prominent hotspots. The seven most prominent clusters are numbered. Domestic violence is tightly concentrated in the East Zone, while community violence tended to be more dispersed or scattered throughout the city, and in the informal settlements in the city centre Figs 4 and 5.

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The spatial distribution of male victim households were concentrated in hotspot 2 near downtown , while female victim hotspots were more numerous, and particularly prominent in the East Zone. In Table 3 , we highlight several variables of interest in the clusters and the non-hotspot area. The type of violence between clusters indicated a predominance of domestic violence, except for clusters 5 and 6.

Clusters 1, 5, 6, and 7 featured the lowest family incomes and smaller interquartile ranges. Cluster 1 had numerous outlier points and cluster number 2 showed the greatest income variation. This research focusses on both epidemiological and spatial characteristics of violence in an urban Brazilian population. This dual approach highlights socioeconomic drivers of injury and enabled us to differentiate between the spatial and aspatial characteristics of domestic and community violence.

Eight out of ten victims of domestic violence were women and the proportion of female victims was 3.

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This number is consistent with data from the Ministry of Health for the study area since , when the country began to report an increase in violence against women [ 21 ]. Our results are consistent with the global trend of high lifetime prevalence of domestic violence against women victims [ 23 — 26 ]. The WHO study of domestic violence against women in ten countries, including Brazil, also revealed that the prevalence of physical violence in low- and middle-income countries was very high for both urban and rural areas [ 27 ]. Schraiber et al. Sixty percent of the study population was between 19 and 39 years old, a cohort with 1.

This may correspond with a previous National study identifying a spike in the rates of youth death by homicide [ 29 ]. Those victims ages 19—39 were more likely to be victims of domestic violence and young under 18 were slightly more victims of community, which may run contrary to the common belief that children and adolescents are more often injured in a familial context.