The HIV/AIDS epidemics in Mexico has remained stable in terms of its slow growth during the last decade. Since the beginning of this century, efforts have been made to improve the epidemiological registration system. An important number of probability studies involving multiple geographic locations in Mexico and larger numbers of high-risk vulnerable populations have also been carried out, while continuing surveillance of volunteers for HIV testing. The analysis of recently obtained information and its comparison with that of the past century have unveiled the traces left by the new epidemics in its wake. The joint analysis of available information indicates that there are changes in transmission patterns of HIV/ AIDS that have modified the prevalence figures of previous decades. While transmission of blood-borne HIV infections have ceased, the number of HIV-seropositive drug users has increased, particularly in the northern of Mexico. In the population of men having sex with men (MSM) a decline in HIV prevalence has been noticed, excepting in the male sex working (MSW) group in whom a significant increase has been observed. The population with heterosexual practice clearly shows a steady growth of AIDS in women, particularly in young women from rural areas and in native women.
Related JoVE Video
Journal of Visualized Experiments
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.