What Should Health Departments Do with HIV Sequence Data?
Ethan Romero-SeversonArshan NasirThomas LeitnerPublished in: Viruses (2020)
Many countries and US states have mandatory statues that require reporting of HIV clinical data including genetic sequencing results to the public health departments. Because genetic sequencing is a part of routine care for HIV infected persons; health departments have extensive sequence collections spanning years and even decades of the HIV epidemic. How should these data be used (or not) in public health practice? This is a complex; multi-faceted question that weighs personal risks against public health benefit. The answer is neither straightforward nor universal. However; to make that judgement-of how genetic sequence data should be used in describing and combating the HIV epidemic-we need a clear image of what a phylogenetically enhanced HIV surveillance system can do and what benefit it might provide. In this paper, we present a positive case for how up-to-date analysis of HIV sequence databases managed by health departments can provide unique and actionable information of how HIV is spreading in local communities. We discuss this question broadly, with examples from the US, as it is globally relevant for all health authorities that collect HIV genetic data.
Keyphrases
- hiv infected
- public health
- antiretroviral therapy
- hiv positive
- hiv testing
- human immunodeficiency virus
- hepatitis c virus
- hiv aids
- healthcare
- men who have sex with men
- electronic health record
- big data
- genome wide
- health information
- mental health
- south africa
- primary care
- gene expression
- machine learning
- global health
- risk assessment
- emergency department
- human health
- clinical practice
- artificial intelligence
- quality improvement
- deep learning
- copy number
- data analysis