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Find video protocols related to scientific articles indexed in Pubmed.
[Notification of violence as a strategy for health surveillance: profile of a metropolis in Brazil].
Cien Saude Colet
PUBLISHED: 05-15-2013
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Violence is a serious public health problem and notification of incidents is fundamental for epidemic surveillance and for the definition of priorities and public politics of health prevention and promotion. The study sought to characterize the occurrence of domestic violence, sexual and other forms of violence, based on the information of the database of the Information System of Notification of Offences (Sinan), on the records of violence of the city of Belém in the state of Pará, in the period from January 2009 to December 2011. In this period 3,267 notifications were recorded, which represented an increase of 240% in the number of notifications of the year 2009 compared to 2011. In relation to the sex of the victims it was observed that, on average, 83.2% of cases against women and this proportion was similar in all three years analyzed. Sexual violence was the most prevalent with 41.8% of reported cases; followed by psychological violence at 26.3% and physical violence at 24%. The results show that notification is fundamental for understanding the profile of violence and for intervention and elaboration of integrated public politics that promote health and the quality of life in this area of Brazil.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.