A viral disease that causes painful inflammation of the skin and can cause fever, cough and other symptoms can also spread through sharing photos or videos of genital herpes, according to a new study.
The study was published in the Journal of Sexual Medicine, and the researchers describe how they developed an algorithm to automatically detect when a virus spread from one person to another.
They found that the virus could spread easily even if it was not spread via photos, videos or even written text.
“In fact, in one experiment, when one person used the virus to spread, another person spread the virus via video,” said study lead author Hao Feng, a professor of microbiology and immunology at the University of Michigan Medical School.
Feng and his team are now developing an algorithm that could detect whether the virus was spread from a single person to the next, or between two people who share similar photos or a shared video of genital HPV.
“If we have an algorithm for this to detect the virus, then we could potentially detect all types of viral infections,” Feng said.
For example, if a viral infection is spread from the person who shared the viral pictures or video to the person sharing the photo or video, then it could be detected by an algorithm, he said.
In a study published last month, Feng and his colleagues used an algorithm designed to detect HPV16 infections.
“That was really interesting to us because they were both infections caused by HPV16, so we had to figure out which was more important,” Feng told Reuters Health.
In the current study, Feng used a model of HPV16 that is based on previous work, but the team is using a new model to determine which HPV16-associated viruses are likely to be circulating and which are not.
The researchers found that a common type of virus called polysporin-2 was most likely to spread from person to person, while another type called poly-4 and poly-7, and also from person in the lab to a person in a hospital.
The models that they used also found that these types of viruses were more likely to infect people who shared photos of genital or oral mucosa, and vice versa, Feng said, because these photos and videos are often shared between people.
This model of viral spread is not yet perfect, Feng noted.
For example, it is not perfect because it doesn’t consider whether the photos were shared between two or more people.
However, he and his co-authors believe that the new model should be more reliable than the previous model.
“The model is very powerful, because it can predict whether it is a viral or not, and that is important,” he said, adding that the model can also be used to detect when new viral infections occur.
“And this model has a lot of information that we can use to identify new infections and help prevent them,” Feng added.
Fluent systems”When a virus is found in a photo or a video, the virus can spread easily between two different people,” he added.
“When someone shares a photo of their genitals, they are potentially spreading that virus, too.
We can actually test if that viral infection has spread from this person to someone else.”
This research is part of the Stanford University Center for Computational Health and the Human Genome Project, which is supported by the National Institutes of Health.
The Center for Genome-Wide Association Studies (CGW) was supported by Stanford Research Institute and the Howard Hughes Medical Institute.