RESUMO
The COVID-19 contingency gave rise to multiple social interactions for which neither governments nor citizens were prepared. The restrictive measures on mobility imposed by the National Government produced a series of changes not only in social dynamics and legal transactions, but also in the criminal context. The purpose of this study is to understand the space-time behavior of theft in the metropolitan area of Pereira, Colombia, and to compare this behavior observed under normal conditions and in times of pandemic. Data were obtained by consulting the Siedco application for the city studied in the 2019-2021 time window. The spatial analysis was performed using the technique known as pattern identification for space-time event networks (Ipree). The empirical evidence observed allows us to conclude that there is a space-time configuration that defines the dynamics of thefts in the city of Pereira and these patterns can be explained from the theory of environmental munificence for crime.
La contingencia provocada por el COVID-19 dio lugar a múltiples interacciones sociales, para las cuales no estaba preparado ni los gobiernos, ni la ciudadanía. Las medidas restrictivas a la movilidad impuestas por el Gobierno Nacional, produjeron una serie de cambios no solo en las dinámicas sociales y en las transacciones legales, sino también en el contexto criminal. El objetivo de este estudio es entender el comportamiento espacio-temporal del hurto en el área metropolitana de Pereira, Colombia, y comparar este comportamiento en tiempos normales y en tiempos de pandemia. Se obtuvieron los datos por medio de la consulta del aplicativo Siedco para la ciudad estudiada en la ventana temporal 2019-2021. El análisis espacial se realizó utilizando la técnica conocida como "identificación de patrones para redes de eventos espaciotemporales (Ipree)." La evidencia empírica observada permite concluir que existe una configuración espaciotemporal que define la dinámica de los hurtos en la ciudad de Pereira y estos patrones se pueden explicar desde la teoría de los entornos generosos del crimen.
A contingência provocada pela COVID-19 deu origem a múltiplas interações sociais para as quais nem os governos nem os cidadãos estavam preparados. As medidas restritivas de mobilidade impostas pelo governo nacional produziram uma série de mudanças não apenas na dinâmica social e nas transações legais, mas também no contexto criminal. O objetivo deste estudo é compreen-der o comportamento espaço-temporal do roubo na área metropolitana de Pereira, Colômbia, e comparar este comportamento em tempos normais e em tempos de pandemia. Os dados foram obtidos consultando a aplicação Siedco para a cidade estudada na janela de tempo 2019-2021. A análise espacial foi realizada utilizando a técnica conhecida como "identificação de padrões para redes de eventos espaço-temporais (Ipree)." As evidências empíricas observadas nos permitem concluir que existe uma configuração espaço-temporal que define a dinâmica do roubo na cidade de Pereira e estes padrões podem ser explicados a partir da teoria dos ambientes de crime generoso.
Assuntos
Humanos , Roubo , Análise Espacial , Análise Espaço-Temporal , Colômbia , Crime , Criminosos , Pandemias , COVID-19RESUMO
This work studies the health status of two populations similar in most social and environmental interactions but one: the individuals from one population are victims of an internal armed conflict. Both populations are located in the Risaralda province, Colombia and the data for this study results from a combination of administrative records from the health system, between 2011 and 2016. We implemented a methodology based on graph theory that defines the system as a set of heterogeneous social actors, including individuals as well as organizations, embedded in a biological environment. The model of analysis uses the diagnoses in medical records to detect morbidity and mortality patterns for each individual (ego-networks), and assumes that these patterns contain relevant information about the effects of the actions of social actors, in a given environment, on the status of health. The analysis of the diagnoses and causes of specific mortality, following the Social Network Analysis framework, shows similar morbidity and mortality rates for both populations. However, the diagnoses' patterns show that victims portray broader interactions between diagnoses, including mental and behavioral disorders, due to the hardships of this population.
