MeSH has produced a conference pathway for IAS 2018 to highlight key sessions on epidemiology, metrics, and the use of routine HIV data.
The first objective of the upcoming 22nd International AIDS Conference in Amsterdam is to present new research findings and advance knowledge on HIV. Key to the advancement of knowledge is data; robust data that support HIV prevention and care activities, inform advocacy, secure resources, and create an environment conducive to better rights.
Recognising we have entered a new phase with intensive data requirements, the MeSH Consortium, based at the London School of Hygiene and Tropical Medicine, is developing, testing and implementing innovative and efficient methods to routinely measure and monitor progress toward treating all and reducing the number of new HIV infections and AIDS-related deaths. We are driving a shift from using routine HIV data purely for descriptive purposes towards directly informing and improving clinical care and program performance.
With interest in efforts to improve the collection and use of quality HIV data increasing, MeSH has produced a Conference Pathway to highlight and promote sessions on epidemiology, metrics, and the use of routine HIV data. Travelling along this pathway takes you to a number of sessions where novel research taken forward by MeSH is to be presented. Key amongst these are two sessions on the Thursday afternoon (double-sided cascade & I want your sex). The Pathway also helpfully provides details on available resources for maximising the potential of data routinely collected through HIV surveillance and service delivery platforms.
Only by strengthening the collection, analysis and use of routine HIV data can we sustainably inform prevention and treatment monitoring and transform the insights we have into tracking HIV incidence decline. The sessions highlighted in the pathway will advance our knowledge on how best to leverage routine data so that they efficiently provide timely information at a local level to inform action, as well as provide information at scale with wide geographic coverage to strengthen estimation efforts