ABSTRACT
Resumen Introducción: La fiebre de malta (brucelosis) es una infección zoonótica producida por cocobacilos gramnegativos, intracelulares facultativos, los cuales se transmiten por el consumo de productos animales no pasteurizados infectados, el contacto de la piel o las membranas mucosas con tejido animal infectado, fluidos animales infectados e inhalación de partículas aerosolizadas infectadas. Caso: Hombre de 34 años residente en zona rural, quien se dedicaba a la ganadería, ingreso a urgencias por presentar cuadro clínico de 15 días de evolución consistente en picos febriles no cuantificados asociados a escalofríos, astenia, adinamia y mialgias. Mediante la correlación clínico-patológica se llegó al diagnóstico de infección por Brucella Abortus. Conclusión : Esta patología es más frecuente en varones adultos. Dentro del cuadro clínico, Los estudios de serológicos (anticuerpos, aglutinación y ensayo inmunocromatográfico) tienen la mayor sensibilidad y especificidad diagnostica. El tratamiento se da con medicamentos que actúen en entornos intracelulares ácidos (tetraciclinas, aminoglucosidos, fluoroquinolonas), esto con el fin de controlar la enfermedad, prevenir las complicaciones y evitar las recaídas.
Abstract Introduction: Malta fever (brucellosis) is a zoonotic infection produced by intracellular gram-negative coccobacilli, which is transmitted by the consumption of infected unpasteurized animal products, skin contact or mucous membranes with infected animal tissues and fluids, and inhalation of infected aerosolized particles. Case: A 34-year-old man living in a rural area, who works in livestock, was admitted to the emergency department for presenting a clinical picture of 15 days of evolution of unquantified febrile peaks associated with symptoms such as chills, asthenia, adynamia and myalgia. The diagnosis of infection with Brucella Abortus was given through clinical-pathological correlation. Conclusion: This pathology is more frequent in adult males. Serological studies (antibodies, agglutination and immunochromatographic assay) prove to have the highest sensitivity and diagnostic specificity in the clinical picture. The treatment is given with medication that acts on intracellular acidic environment (tetracyclines, aminoglycosides, fluoroquinolones), this in order to control the disease, and prevent complications and relapses.
ABSTRACT
Objective: To determine the temporal patterns of cumulative incidence of brucellosis using autoregressive integrated moving average models. Methods: This cross-sectional study employed yearly and monthly data of 1 117 laboratory-confirmed human brucellosis cases from January 2013 to December 2018 using the Yazd brucellosis national surveillance system. The monthly incidences constructed a timeseries model. The trend of cumulative incidence was perceived by tracing a line plot, which displayed a seasonal trend with periodicity. Thus, the ARIMA models were selected. Thereafter, Akaike information criteria (AIC) and Bayesian information criterion (BIC) values among different models indicated a preferable model from models which were expanded by diverse lags [(3, 0, 3), (2, 0, 3), (3, 0, 2), (4, 0, 3) and (3, 0, 4)]. Then, the achieved ARIMA model was applied to the forecasting cumulative incidence of monthly brucellosis incidences. All analyses were performed using Stata, version 11.2. Results: For the ARIMA (3, 0, 4) model, MAPE value was 56.20% with standard error 0.009-0.016, and white noise diagnostic check (Q=19.79, P=0.975) for the residuals of the selected model showed that the data were completely modelled. The monthly incidences that were fitted by the ARIMA (3, 0, 4) model, with AIC (25.7) and BIC (43.35) with a similar pattern of actual cases from 2013 to 2018 and forecasting incidences from January 2019 to December 2019 were, respectively, 0.50, 0.44, 0.45, 0.49, 0.55, 0.58, 0.56, 0.51, 0.46, 0.44, 0.45 and 0.49 per 100 000 people. Conclusions: In summary, the study showed that the ARIMA (3, 0, 4) model can be applied to forecast human brucellosis patterns in Yazd province, supplementing present surveillance systems, and may be better for health policy-makers and planners.
ABSTRACT
Objective: To determine the temporal patterns of cumulative incidence of brucellosis using autoregressive integrated moving average models. Methods: This cross-sectional study employed yearly and monthly data of 1 117 laboratory-confirmed human brucellosis cases from January 2013 to December 2018 using the Yazd brucellosis national surveillance system. The monthly incidences constructed a timeseries model. The trend of cumulative incidence was perceived by tracing a line plot, which displayed a seasonal trend with periodicity. Thus, the ARIMA models were selected. Thereafter, Akaike information criteria (AIC) and Bayesian information criterion (BIC) values among different models indicated a preferable model from models which were expanded by diverse lags [(3, 0, 3), (2, 0, 3), (3, 0, 2), (4, 0, 3) and (3, 0, 4)]. Then, the achieved ARIMA model was applied to the forecasting cumulative incidence of monthly brucellosis incidences. All analyses were performed using Stata, version 11.2. Results: For the ARIMA (3, 0, 4) model, MAPE value was 56.20% with standard error 0.009-0.016, and white noise diagnostic check (Q=19.79, P=0.975) for the residuals of the selected model showed that the data were completely modelled. The monthly incidences that were fitted by the ARIMA (3, 0, 4) model, with AIC (25.7) and BIC (43.35) with a similar pattern of actual cases from 2013 to 2018 and forecasting incidences from January 2019 to December 2019 were, respectively, 0.50, 0.44, 0.45, 0.49, 0.55, 0.58, 0.56, 0.51, 0.46, 0.44, 0.45 and 0.49 per 100 000 people. Conclusions: In summary, the study showed that the ARIMA (3, 0, 4) model can be applied to forecast human brucellosis patterns in Yazd province, supplementing present surveillance systems, and may be better for health policy-makers and planners.
ABSTRACT
Brucellosis is an old, infectious and common zoonosis whose causative agents are Gramnegative bacteria from the Brucella genus. Brucellosis is transmitted through direct contact with infected animals or using unpasteurized dairy products of goats, pigs, camels, sheep, buffalo and cows. Brucellosis is still the most common zoonosis in the world, with most of cases occurring in developing countries. Today, an approach to traditional medicine and medicinal plants, especially with regards to the repeated recommendations of the World Health Organization, is a necessity. One-third of chemical drugs are produced by using plants and there is a high potential to produce more drugs from plants. Medicinal plants are helpful in the management of various conditions, especially bacterial diseases. Although there is not enough scientific evidence regarding the clinical effectiveness of herbal drugs for the treatment of brucellosis, there is strong evidence on the antimicrobial effects of herbal drugs to prevent infection. Therefore, this article seeks to describe the antibacterial effects of some plant-derived essential oils or extracts, so that they can serve as promising choices to develop new anti-Brucella medications, as suitable alternatives to conventional antibiotics for brucellosis, as much as possible, taking into account the benefits of these herbal drugs.