Related Experiment Video
Updated: Mar 9, 2026
14:43
A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
13.7K
[Femicides in ethnic and racialized groups: syntheses]
Stela Nazareth Meneghel1, Betty Ruth Lozano Lerma2
1Programa de Pós-Graduação de Saúde Coletiva, Universidade, Universidade Federal do Rio Grande do Sul. R. São Manoel 963, Rio Branco. 90620-110 Porto Alegre RS Brasil.
Ciencia & Saude Coletiva
|January 12, 2017
Summary
Femicides disproportionately affect ethnic and racialized women, particularly in conflict zones. Understanding social and political determinants is crucial for developing effective interventions against this form of gender-based violence.
Area of Science:
- Social Sciences
- Public Health
- Gender Studies
Background:
- Femicides are a critical issue, especially within ethnic and racialized communities.
- Buenaventura, a strategic Colombian port, hosted a seminar discussing femicide's social and political determinants.
Purpose of the Study:
- To synthesize discussions on femicide determinants and interventions.
- To share insights on femicide in vulnerable ethnic and racialized groups with a Brazilian audience.
Main Methods:
- The study is based on discussions from a seminar.
- It synthesizes academic discourse, personal grievances, and artistic expressions related to femicide.
Main Results:
- Femicide was analyzed as a tactic of warfare against women.
- The seminar provided a platform for discussing social, political, and interpersonal violence.
Conclusions:
- Disseminating these findings is valuable for social and health workers in Brazil, given similar vulnerabilities.
- Addressing femicide requires understanding its complex determinants and implementing targeted actions.
Related Concept Videos
01:29Bias in Epidemiological Studies
1.5K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.5K
02:55Stereotypes, Prejudice, and Discrimination
95.9K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
95.9K
02:16Stereotype Content Model
15.6K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
15.6K
01:15Systematic Error: Methodological and Sampling Errors
11.2K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
11.2K
01:12Hazard Ratio
670
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
670
01:20Comparing the Survival Analysis of Two or More Groups
677
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
677