Seroprevalence of Treponema pallidum infection in Brazilian indigenous people: a cross-sectional study.

Indigenous communities in Brazil have a complex epidemiological profile, which increases their chances of contracting sexually transmitted diseases. However, limited data is available on Treponema pallidum infections in this population. We investigated the seroprevalence and risk factors associated with T. pallidum infection in an indigenous population of Dourados, Mato Grosso do Sul. Blood samples were collected from September 2017 to March 2020, and the participants were interviewed to obtain comprehensive data on demography and sexual behavior. Serological tests were performed to detect T. pallidum infection. Besides conducting descriptive analysis, we performed Chi-squared tests and determined the bivariate odds ratio. The data were also analyzed using logistic regression. Among the 2190 invited individuals, 1927 (88%) were included in this study. The seroprevalence of T. pallidum infection was 2.91%. The results of a multivariate analysis showed that individuals who were 30-39 years old, with up to 4 years of school education, living in households without piped water, with a history of genital lesions, multiple sexual partners, and having a history of STIs had the highest seroprevalence of T. pallidum. This study showed that behavioral, social, and economic factors play an important role in the transmission of T. pallidum within the indigenous population. Thus, targeted intervention, including imparting education in the native language, mass testing initiatives, and implementing public policies to improve socioeconomic indicators, is needed to reduce the cases of syphilis in this community.

Prevalence of HIV-1 infection and associated characteristics in a Brazilian indigenous population: a cross-sectional study.

Background: Despite significant progress in the areas of prevention, diagnosis, and treatment, HIV continues to result in a substantial number of fatalities on a global scale each year. Gaining insights from epidemiological data can prove instrumental in the development of health promotion strategies, particularly within vulnerable populations, such as indigenous groups. Consequently, our study aimed to investigate the prevalence of HIV infection within the indigenous population residing in the second-largest region of Brazil. Additionally, we sought to explore the subtypes of HIV-1 and detect any drug-resistance mutations present within this population. Methods: In this cross-sectional study, we aimed to evaluate the prevalence of HIV-1 infection and explore its associated characteristics within the indigenous population residing in the villages of Jaguapiru and Bororó, located in the Dourados area of Mato Grosso do Sul (MS), Brazil. Blood samples were collected for rapid HIV screening, serological tests, nucleic acid amplification, and HIV subtyping. Additionally, the HIV-1 viral load and CD4+ T lymphocyte count of the people living with HIV (PLHIV) were assessed at the time of recruitment and 24 weeks later. Findings: Out of the 2190 invited individuals, 1927 (88%) were included in this study. The average age of the participants was 34.2 (±13.8) years, with a majority of 74% being female. Moreover, 68.44% of the participants identified themselves as belonging to the Guarani-Kaiowa ethnic group. HIV seroprevalence was 0.93% (18/1927), and 73.22% (1411/1927) were unaware of their serological status. The prevalence of HIV-1 was higher in single indigenous people [10/617 (1.62%)], who received government benefits [14/1021 (1.37%)], had less than five years of formal education [11/685 (1.61%)], had sexual intercourse with users of injectable drugs [2/21 (9.52%)], with history of sexually transmitted infections (STIs) [10/62 (16.2%)] and incarceration [3/62 (4.84%)]. Of 18 positive samples, 44.4% (8/18) were successfully amplified, and HIV-1 subtype C was prevalent. Furthermore, we identified HIV-1 drug resistance mutations in four patients, specifically from the classes of Protease Inhibitor, Nucleoside Reverse Transcriptase Inhibitor, and Non-Nucleoside Reverse Transcriptase Inhibitor. Notably, three of these patients exhibited a high viral load even after 24 weeks of undergoing antiretroviral therapy. Out of the 18 PLHIV, 66.66% (12/18) had a viral load below 1000 copies/mL, while 50% (9/18) had a CD4+ T lymphocytes count greater than 350 cells/mL after 24 weeks of treatment. Interpretation: Despite the concerted efforts to control HIV infection, the prevalence observed in the indigenous population under study surpassed that reported in other Brazilian indigenous groups. This disparity highlights the disproportionate impact of the disease on this particular group. The detection of drug-resistance mutations further emphasizes the critical need to expand diagnostic coverage, closely monitor treatment strategies, and maintain ongoing molecular surveillance. These measures are imperative for enhancing HIV management within this vulnerable population. Funding: This study was partially funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Secretaria do Estado de Saúde (SES) of Governo do Estado de Mato Grosso do Sul, and Universidade Federal da Grande Dourados (UFGD).

Diagnostic Classification of Cases of Canine Leishmaniasis Using Machine Learning.

Proposal techniques that reduce financial costs in the diagnosis and treatment of animal diseases are welcome. This work uses some machine learning techniques to classify whether or not cases of canine visceral leishmaniasis are present by physical examinations. For validation of the method, four machine learning models were chosen: K-nearest neighbor, Naïve Bayes, support vector machine and logistic regression models. The tests were performed on three hundred and forty dogs, using eighteen characteristics of the animal and the ELISA (enzyme-linked immunosorbent assay) serological test as validation. Logistic regression achieved the best metrics: Accuracy of 75%, sensitivity of 84%, specificity of 67%, a positive likelihood ratio of 2.53 and a negative likelihood ratio of 0.23, showing a positive relationship in the evaluation between the true positives and rejecting the cases of false negatives.