In two days, December 1st, the media all over the world will be filled again with those pretty red ribbons, at the edge of a newspaper, on the corner of the TV screen, beside the logo of major websites. It is that special day of every year that many people see it, but don’t realize exactly what it means. Young children may even think that this means Christmas is near! Unfortunately, it is not so. I mean, yes, the Christmas is near, but not for the whole world. The “Red Ribbon” campaign was inspired some years ago as a motto for global awareness against HIV, a very special and very resilient virus that is haunting the medical community since the early ’80s.

In two days, December 1st, the media all over the world will be filled again with those pretty red ribbons, at the edge of a newspaper, on the corner of the TV screen, beside the logo of major websites. It is that special day of every year that many people see it, but don’t realize exactly what it means. Young children may even think that this means Christmas is near!

Unfortunately, it is not so. I mean, yes, the Christmas is near, but not for the whole world. The “Red Ribbon” campaign was inspired some years ago as a motto for global awareness against HIV, a very special and very resilient virus that is haunting the medical community since the early ’80s. Although the first incident of death from AIDS was recorded as the “the Congolese man” in 1959, the AIDS epidemic officially begun on the 5th of June 1981.

For a quick view of the epidemic's history, alleged origins and current status, as well as things you can do to help, take a look at the full article at the ReliefWeb blog and get involved in the red ribbon campaign.

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Harris Georgiou

BSc in Informatics, MSc in Digital Signal Processing & Computer Systems, PhD in Classifier Combination and Game-Theoretic methods for medical imaging. Currently working as a post-doc associate researcher in Machine Learning and Sparse Modeling with the Signal & Image Processing Lab (SIPL) at the Dept. of Informatics & Telecommunications (DIT), National Kapodistrian Univ. of Athens (NKUA/UoA). Areas of expertise: Signal processing, Medical Imaging, Image Processing, Image Analysis, Computer Vision, Pattern Recognition, Classifier Combination, Sparse Models.