Social programs could cut HIV spread by 29%, study finds

Researchers at the University of Massachusetts Amherst have quantified the impacts of a constellation of social factors on the spread of HIV. Their study, published in Health Care Management Science, found that a hypothetical 100% effective intervention addressing barriers to HIV treatment and care from depression, homelessness, individual and neighborhood poverty, education disparities, lack of insurance and unemployment could reduce the national HIV incidence by 29% over 10 years. The mathematical model, a novel integration of machine learning, probability theory and simulation, is positioned to be an important tool for decision-makers to optimize social programs and will have applications for other diseases.