Bovine Brucellosis: An Epidemiological Study at Chittagong, Bangladesh

An epidemiological survey was conducted to identify probable risk factors and prevalence of brucellosis in commercial and backyard dairy cows at Chittagong, Bangladesh. A total of 500 milk samples were collected (250 commercial and 250 backyards) for Milk Ring Test (MRT). The MRT positive cows were subjected to sera collection and Rose Bengal Plate Test (RBPT) and indirect ELISA were done for confirmatory diagnosis. The overall seroprevalence of brucellosis in cattle was 5% (7.6% in commercial and 2.4% in backyard). Significantly higher (P<0.05) prevalence was found in the zero grazing (5.74%), pregnant cows (7.53%) and cows with history of retained placenta (7.89%) or abortion (5.88%) or both (11.76%) than non-pregnant (2.68%) and without any reproductive disorder (4.44%). A total of 420 farm attendants and owners were interviewed where 93.55 and 99.08% commercial and backyard personnel were found to have no knowledge of brucellosis and 9.67 and 87.77% consumed raw milk and yogurt respectively were highly vulnerable to zoonotic brucellosis. The results showed that brucellosis is widely distributed locally, underscoring the need for further studies including biovar determination

Avian Influenza Outbreaks in Chickens, Bangladesh

To determine the epidemiology of outbreaks of avian influenza A virus (subtypes H5N1, H9N2) in chickens in Bangladesh, we conducted surveys and examined virus isolates. The outbreak began in backyard chickens. Probable sources of infection included egg trays and vehicles from local live bird markets and larger live bird markets

Epidemiology and molecular detection of Anaplasma spp. in goats from Chattogram district, Bangladesh

Abstract Objectives Anaplasmosis is an economically important disease affecting cattle, buffalo, sheep, goat etc. The study was conducted to determine the prevalence, potential risk factors and molecular identification of circulating Anaplasma spp. in goats in Chattogram district, Bangladesh. Material and methods Four hundred blood samples were collected from goats of different ages, breeds, sex, coat color and body condition. These goats were selected based on some inclusion criteria through the period of July 2017 to June 2018. Samples were examined microscopically (Giemsa staining method) followed by polymerase chain reaction (PCR) and sequencing to identify of Anaplasma spp. Results The overall prevalences were estimated 5.75% (23/400) and 15.75% (63/400) by microscopy and PCR, respectively. Anaplasma ovis (A. ovis) and Anaplasma marginale (A. marginale) were identified with the prevalence of 14.75% (59/400) and 1.0% (4/400), respectively through PCR. Among different risk factors, jamnapari breed (p = 0.027), no use of acaricide (p = 0.025) and presence of tick (p < 0.01) were found to be significantly associated with anaplasmosis. Sequence analysis of msp4 gene revealed that, Anaplasma spp. detected in the present study were highly similar with those of China, Venezuela, Mongolia, Spain, Tunisia, Cyprus, Italy, Brazil, Argentina, Australia, Japan and Columbia. Conclusions In conclusion, strategic use of acaricide can control tick that ultimately will control the anaplasmosis in goats. Besides, rearing local goats in compare to cross and exotic breed are also recommended for the farmer to prevent the disease

Study on bacterial pathogens through multiplex polymerase chain reaction system and their antimicrobial resistance pattern in goats presumed with fever and/or diarrhea

Background and Aim: Goat is one of the major livestock species, plays an important role in the economy of Bangladesh. However, the outbreak of different infectious diseases in goats causes high mortality and economic losses due to lack of proper diagnosis and treatment. Conventional culture-based methods for detecting specific pathogens as confirmatory diagnosis are laborious as well as time-consuming in comparison to multiplex polymerase chain reaction (mPCR), by which multiple pathogens can be detected at a time. The present study was aimed to perform faster molecular identification of bacterial pathogens from goats presumed with fever and/or diarrhea and their antimicrobial resistance (AMR) pattern. Materials and Methods: A total of 200 blood samples were collected from goats at S. A. Quaderi Teaching Veterinary Hospital (SAQTVH) in Chattogram Veterinary and Animal Sciences University for the period of July 2017-April 2018. DNA was extracted and subsequently, mPCR assay was performed for the screening of several bacterial pathogens (Salmonella spp., Listeria monocytogenes, Bacillus cereus, Yersinia enterocolitica, Campylobacter jejuni, Campylobacter coli, Clostridium perfringens, Vibrio cholerae, and Staphylococcus aureus). An antimicrobial susceptibility test against ten antimicrobials for positive samples of each organism was conducted using the Kirby–Bauer Disk-Diffusion Method on selective media. Results: S. aureus, C. perfringens, L. monocytogenes, and Salmonella spp. were detected from collected samples and their overall prevalence was 11.5%, 3.5%, 1%, and 20.5%, respectively. The most common clinical signs were mild fever, nasal discharge, dyspnea, and coughing (39.1%) for S. aureus, diarrhea, convulsion, abdominal pain, and incoordination (57.1%) for C. perfringens, fever, protrusion of tongue, and incoordination (100%) for L. monocytogenes, and fever, anorexia, dehydration with mucous feces (36.6%) for Salmonella spp. infection in goats. Antimicrobial diagram of S. aureus showed resistance against Cefotaxime (74%), Cefixime (65%), and Tetracycline (65%); highly sensitive against Amoxicillin (48%), Ciprofloxacin (44%), and Gentamicin (44%). On the other hand, C. perfringens showed highly resistant against Ampicillin (71%), Gentamicin (71%), sensitive against Penicillin (57%), and Cefotaxime (57%). L. monocytogenes were found to be sensitive to Penicillin (100%) and Cefixime (100%) and Salmonella spp. showed resistance to Ampicillin (78%) and Amoxicillin (59%) but sensitive to Ciprofloxacin (54%). Conclusion: This study identified pathogens with their specific clinical signs in goats presumed fever and/or diarrhea through mPCR with their AMR pattern in SAQTVH, Chattogram. Potential risk factors, measuring the strength of association of disease caused by these particular pathogens, were also determined. mPCR may use as an effective tool for rapid detection of pathogens in animal

The evolution of aquatic agricultural systems in Southwest Bangladesh in response to salinity and other drivers of change

Aquatic agricultural systems (AAS) in coastal Southwest Bangladesh have evolved in response to a number of stimuli and constraints including improving market access, technological change, and salinization. Farming systems in the region are highly dynamic, and are characterized by the integration of varying combinations of freshwater prawns, rice, fish, vegetables, and brackish water shrimp. This paper examines the developmental history, productivity, and profitability of three distinct AAS: a low-salinity freshwater prawn-dominated system; an intermediate-salinity-mixed prawn and shrimp system, and a high-salinity shrimp-dominated system. Productivity, cropping intensity, and profitability are found to be highest in the diversified low- and intermediate-salinity systems, and lower in the high-salinity system, where cultivation of rice and vegetables is no longer possible. The paper concludes that more diverse integrated systems reduce risk and vulnerability for farming households. Salinization is found to be a double-edged sword – proving a stimulus to diversification at low levels, but reducing agro-biodiversity at higher salt concentrations. While the adaptation strategies in all systems have been successful in maintaining or improving most, though not all, system functions due to high levels of social resilience, support for effective community-based adaptation strategies will enable continued transformation and adaptation to future drivers of change

Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model

Islam MM, Alam M, Tariquzaman M, et al. Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model. BMC Public Health. 2013;13(1): 11.BACKGROUND: Malnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable. METHODS: The data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model. RESULTS: The GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance < mean) property. Our study also identify several significant predictors of the outcome variable namely mother's education, father's education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman. CONCLUSIONS: Consistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh