S Mancinelli

Evaluating Adherence to Highly Active Antiretroviral Therapy with Use of Pill Counts and Viral Load Measurement in the Drug Resources Enhancement against AIDS and Malnutrition Program in Mozambique

BACKGROUNDnMaintaining treatment adherence among the growing number of patients receiving antiretroviral treatment in Africa is a dramatic challenge. The objective of our study was to explore the results of a computerized pill count method and to test the validity, sensitivity, and specificity of this method with respect to viral load measurement in an African setting.nnnMETHODSnWe performed a prospective, observational study involving patients who received first-line highly active antiretroviral therapy in Mozambique from 1 April 2005 through 31 March 2006. Enrolled patients had received treatment for at least 3 months before the study. For defining treatment adherence levels, pill counts were used, and the results were analyzed with viral load measurements at the end of the observation period.nnnRESULTSnThe study involved 531 participants. During the 12 months of observation, 137 patients left the program or discontinued first-line therapy. Of the remaining 394 patients, 284 (72.1%) had >95% treatment adherence; of those 284 patients, 274 (96.5%) had a final viral load <1000 copies/mL. A Cox proportional hazards analysis revealed that the relationship between >95% treatment adherence and the final viral load was closer than that between >90% treatment adherence and viral load.nnnCONCLUSIONSnTreatment adherence >95% maximizes the results of the nonnucleoside reverse-transcriptase inhibitor-based regimen. The pill count method appears to be a reliable and economic tool for monitoring treatment adherence in resource-limited settings.

Numerical Analysis of Natural Outbreaks and Intentional Releases of Emerging and Re-emerging Pathogens: Preliminary Evidence

The outbreaks of emerging and re-emerging infectious diseases (related to natural, accidental, or intentional releases of pathogens) are a major concern for CBRNe experts. The aim of this work is to test two innovative approaches to simulate: (a) the natural diffusion of an outbreak of measles using the Spatiotemporal Epidemiological Modeler (STEM) software and (b) the intentional release of anthrax spores in confined environments using the computational fluid dynamics (CFD) COMSOL Multiphysics® Modeling Software. The two approaches were compared in order to verify their consistency with the scenarios for further analysis; the preliminary evidence from this work will be applied to the development of an interdisciplinary master’s thesis in medical biotechnology based on the merging of medicine, biology, and engineering.