Software to analyze multi-locus genotype data for entire populations is useful for estimating haplotype frequencies, deviation from Hardy-Weinberg equilibrium and patterns of linkage disequilibrium. These statistical results are important to both those interested in human genome variation and disease predisposition as well as evolutionary genetics. As part of the 13 th International Histocompatibility and Immunogenetics Working Group (IHWG), we have developed a software framework (PyPop). The primary novelty of this package is that it allows integration of statistics across large numbers of data-sets by heavily utilizing the XML file format and the R statistical package to view graphical output, while retaining the ability to inter-operate with existing software. Largely developed to address human population data, it can, however, be used for population based data for any organism.
Viral and host factors are known to play a role in the different patterns of AIDS progression. The cocirculation of HIV-1 subtypes B, F1, B, and BF1; the occasional detection of HIV-1 subtype D; and an increasing prevalence of subtype C and other recombinant forms have been described in Rio de Janeiro, Brazil. The aim of this study was to evaluate the potential association of HIV-1 subtypes circulating among HIV-1+ individuals in Rio de Janeiro with AIDS disease progression. For this purpose, 246 HIV-1 individuals under clinical and laboratory follow-up from 1986 to 2011 were classified according to their progression to AIDS in typical progressors (n = 133), rapid progressors (n = 95), and long-term nonprogressors (n = 18). The env-gp120 region was amplified and sequenced. Neighbor-joining phylogenetic inferences were performed in Mega 6 and bootscan analysis was performed in Simplot 3.5.1. The Kaplan-Meier method and Cox modeling were performed to determine the time until an AIDS-defining event based on the HIV-1 subtypes/variants. Similar AIDS progression rates were observed among individuals infected with HIV-1 subtype B and variant B. However, a direct association between more rapid AIDS progression and HIV-1 subtypes, D and BF1, was confirmed in the multivariate analysis, corroborating previous results. Our findings contribute to the investigation of the possible influence of HIV-1 subtypes in AIDS outcome.
BackgroundOpportunistic illnesses still account for a huge proportion of hospitalizations and deaths among HIV-infected patients in the post combination antiretroviral therapy (cART) era, particularly in middle- and low-income countries. The aim of this study was to assess predictors of the top four most incident opportunistic illnesses (tuberculosis, esophageal candidiasis, cerebral toxoplasmosis and Pneumocystis jiroveci pneumonia) in an HIV clinical cohort from a middle-income country in the post cART era.MethodsA total of 2835 HIV infected participants aged ≥ 18 years at enrollment were followed from January 2000 to December 2012 until the occurrence of their first opportunistic illness, death or end of study, whichever occurred first. Extended Cox proportional hazards regression models, stratified by use of cART, were fitted to assess predictors of opportunistic illness incidence during follow-up.ResultsThe incidence rates of tuberculosis, esophageal candidiasis, cerebral toxoplasmosis and Pneumocystis jiroveci pneumonia were 15.3, 8.6, 6.0, 4.8 per 1000 persons-year, respectively. Disease specific adjusted Cox models showed that presence of an opportunistic illness at enrollment significantly increased disease incidence while higher nadir CD4+ T lymphocyte count had a significant protective effect in patients not in use of cART. Duration of cART use also significantly reduced disease incidence.ConclusionsOur findings show that, still in the post-cART era, prevention of opportunistic infections can be achieved by preventing immune deterioration by instituting early use of cART. Interventions focusing on early diagnosis and linkage to care in addition to the prompt initiation of cART are essential to reduce the incidence of opportunistic illnesses among HIV infected patients in post-cART era.
This article aims at analyzing the factors which influence the staff of the Brazilian Air Force Information Technology Board-DTI in relation to the understanding of the application of the Information Security Management practices. This attempt was based on the hypothetical-deductive method and, as to its objective, it was descriptive in nature. As to the approach of the research problem, it was quantitative in nature. In order to achieve the proposed objective, an adaptation of the Theoretical Technology Acceptance Model-TAM, which allowed the analysis of the relation between sociodemographic profile, perceived ease of use, perceived usefulness, attitude and behavior of the users, and the level of understanding of the Information Security practices. The survey was conducted with 59 military servants and civilians which are part of the Brazilian Air Force Information Technology Board, to whom a questionnaire was applied, submitted and approved by the Committee of Ethics in Research (CAAE: 62636016.7.0000.5111), which was based on the precepts of ISO/IEC 27001 (2013) and 27002, which deal, respectively, with the Information Security Management system and with the code of practice for Information Security controls. Once the data were gathered, they were tabulated and statistically analyzed, which enabled the demonstration of the influence of sociodemographic and behavioral factors and of the precepts of the TAM in the perception of the Information Security practices by the DTI staff.
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