DSpace Collection:https://rd.uffs.edu.br/handle/prefix/37112025-12-03T00:31:53Z2025-12-03T00:31:53ZRelatório de atividades de pós-doutorado 2022-2023Andrioli, Antônio Ináciohttps://rd.uffs.edu.br/handle/prefix/69482023-08-24T19:21:23Z2023-07-28T00:00:00ZTitle: Relatório de atividades de pós-doutorado 2022-2023
Author: Andrioli, Antônio Inácio
Publisher: Universidade de Hamburgo
Type: Relatório de Pesquisa2023-07-28T00:00:00ZRelatório final de estágio de pós-doutoramentoTrevisol, Joviles Vitóriohttps://rd.uffs.edu.br/handle/prefix/61872025-04-28T17:46:32Z2022-12-11T00:00:00ZTitle: Relatório final de estágio de pós-doutoramento
Author: Trevisol, Joviles Vitório
Publisher: Universiteit Leiden
Type: Relatório de Pesquisa2022-12-11T00:00:00ZA produção social e política dos homicídios: uma análise macrossocial da trajetória das taxas de homicídios em Santa Catarina (1992 a 2017)Monteiro, Felipe Mattoshttps://rd.uffs.edu.br/handle/prefix/37212020-09-08T12:38:47Z2019-01-01T00:00:00ZTitle: A produção social e política dos homicídios: uma análise macrossocial da trajetória das taxas de homicídios em Santa Catarina (1992 a 2017)
Author: Monteiro, Felipe Mattos
First advisor: Abreu, Sergio França Adorno de
Abstract: In recent decades, homicide rates tended to increase in Santa Catarina. Between 1992 and 2017
the rates increased from 8.0 to 17.0 deaths per thousand inhabitants, which means an increase
of 112.5%. A series of studies have been investigating both upward and downward trends of
homicide in different contexts. However, the majority of them focus their analysis on general
trends, which in turn disregards the existence of latent heterogeneity. Therefore, this thesis aims
at investigating the homicide rate trajectory in cities of Santa Catarina (1992 to 2017) in order
to answer three central questions: 1) in a state characterized by both important regional
differences and homicide rate increase, could there be a hidden heterogeneity in homicide rates?
In other words, the increasing trend in Santa Catarina state could hide different trajectories with
distinct characteristics and specificities? 2) Would it be possible to identify a typology of
homicide trends over time related to increase, stability or decrease? 3) What is more, once such
typology is registered, would it be possible to establish the grounds for such distinction, i.e.,
what would determine that a set of cities is settled in a certain group of high trajectory compared
to the low trajectory? To identify the existence of latent trajectory as well as groups of cities
with similar trajectories over time, a Group-Based Trajectory Modeling has been used. After
this work, we developed an index series, which shows the main arguments found in
macrosociological studies about homicides. By means of a binary and multinomial logistic
regression study, we established the grounds of the typological distinction, i.e., we point out
which situational, structural and political aspects can explain the inclusion of a city in a certain
trajectory group. To solve the problem of overestimated homicide rates in small-sized towns
where the risk of homicide is smaller, their homicide numbers were transformed into local
empirical Bayesian rates. Data were collected at two main sources: information available at the
Mortality Information System (SIM/Datasus) and at the Public Security Bureau in Santa
Catarina. Our results show that there is an underlying structure in the main homicide rate trend
in Santa Catarina. Four latent trajectories with heterogeneous trends between 1992 and 2017
were identified: intense increase, moderate increase, decrease and stability. Regarding the
mapping of distinct typologies, i.e., the reasons why a city belongs to a certain trajectory group,
we observed a complex relationship, which combines the effects of structural aspects, actions
of crime control and situational issues according to each trajectory characteristic.
Publisher: Universidade de São Paulo
Type: Tese2019-01-01T00:00:00Z