Consumption of milk contaminated with antibiotic residues above the maximum residue limit (MRL) causes toxicity to humans and the development of superbugs that leads to the failure of antibiotic therapy and threatens human life. Moreover, long-duration exposure might alter the nature of gut microflora, resulting in the enhancement of many diseases. Therefore, our study aims to find out the residues level of selected antibiotics in milk and assessments of humans health risks. We examined 300 raw and processed milk samples using thin-layer chromatography (TLC) and ultra-high-performance liquid chromatography (UHPLC) methods against five veterinary antibiotics and assessed the health risk for consumers in Chattogram, Bangladesh. Risk analysis was done by using a hazard quotient based on 165 ml per capita milk consumption. We found a total of 7 % prevalence of antibiotic residues in raw milk, which were higher (8 %) in individual milk samples than the pooled samples (4 %). However, we did not find any antibiotic residues in processed milk. The mean concentration of oxytetracycline residue was detected at 61.29 μg/l, and amoxicillin was 124 μg/l in individual milk samples. Risk analysis showed that, the hazard quotient values are 0.0056 for oxytetracycline and 0.0017 for amoxicillin residues. This result implied no significant health risks associated with the consumption of milk produced and marketed in the study area. Our study might fill up the gaps of knowledge in measuring the safety status of milk regarding public health issues.

Current evidence indicates that more than half of all antimicrobials are used in the animal food-producing sector, which is considered a significant risk factor for the development, spread, and existence of antimicrobial resistance (AMR) pathogens in animals, humans, and the environment. Among other factors, clinical etiology and the level of knowledge, attitudes, and practices (KAP) of veterinarians are thought to be responsible for inappropriate prescriptions in the animal-source protein production sector in lower-resource settings like Bangladesh. We performed this cross-sectional study to assess factors associated with veterinarians’ antimicrobial prescription behavior and their KAP on antimicrobial use (AMU) and AMR in Bangladesh. Exploratory and multivariate logistic models were used to describe an association between knowledge, attitudes, and practices of AMU and AMR and demographic characteristics of veterinarians. The results demonstrated that when selecting an antimicrobial, there was no to minimal influence of culture and susceptibility tests and patients’ AMU history but moderate to high influence of the farmer’s economic condition and drug instructions among the veterinarians. The results also demonstrated that more than half of the veterinarians had correct KAP regarding AMU and AMR, while the rest had moderate or lower levels of KAP. The factor score analysis revealed that age, level of education, years of experience, gender, and previous training on AMU and AMR were the key influencing factors in their level of KAP. Adjusted logistic regression analysis showed that respondents’ age, current workplace, and previous training on AMU and AMR had a positive association with increased KAP. Considering the results, it is imperative to include AMR issues on vet curricula, and to provide post-education training, awareness campaigns, easy access to, and dissemination of AMR resources. Increasing the veterinary services to the outreach areas of the country and motivating veterinarians to follow the national AMR guidelines could be some other potential solutions to tackle the over-prescriptions of antimicrobials.

Background: Studying the characteristics of Aedes mosquito habitats is essential to control the mosquito population. The objective of this study was to identify the breeding sites of Aedes larvae and their distribution in Chattogram, Bangladesh. We conducted an entomological survey in 12 different sub-districts (Thana) under Chattogram City, during the late monsoon (August to November) 2019. The presence of different wet containers along with their characteristics and immature mosquitoes was recorded in field survey data form. Larvae and/or pupae were collected and brought to the laboratory for identification. Results: Different indices like house index, container index, and the Breteau index were estimated. The multiple logistic regression analysis was applied to identify habitats that were more likely to be positive for Aedes larvae/pupae. A total of 704 wet containers of 37 different types from 216 properties were examined, where 52 (7.39%) were positive for Aedes larvae or pupae. Tire, plastic buckets, plastic drums, and coconut shells were the most prevalent container types. The plastic group possessed the highest container productivity (50%) whereas the vehicle and machinery group was found as most efficient (1.83) in terms of immature Aedes production. Among the total positive properties, 8% were infested with Aedes aegypti, 2% with Aedes albopictus, and 1% contained both species Ae. aegypti and A. albopictus. The overall house index was 17.35%, the container index was 7%, and the Breteau index was 24.49. Containers in multistoried houses had significantly lower positivity compared to independent houses. Binary logistic regression represented that containers having shade were 6.7 times more likely to be positive than the containers without shade (p< 0.01). Conclusions: These findings might assist the authorities to identify the properties, containers, and geographical areas with different degrees of risk for mosquito control interventions to prevent dengue and other Aedes-borne disease transmissions.

COVID-19 and its accompanying effects have severely affected an estimated 0.3 million dairy farms and 65–70 thousand commercial poultry farms in Bangladesh. Many of them closed down or halted productions due to the burden of continuous losses. Reports showed that about 12–15 million liters of milk have remained unsold, which has caused a daily loss of 570 million Bangladeshi Taka (6.7 million USD) in the dairy sector only. Furthermore, the poultry sector has also encountered a loss of a minimum of 115 billion Bangladeshi Taka (1.35 billion USD) within just two weeks from March 20 to April 4, 2020. The situation might accelerate the arising food crisis due to the collapse of the livestock sector during the COVID-19 pandemic and turn it into a humanitarian catastrophe. Hence, the government should retaliate through the provision of financial assistance to livestock farmers, and the proclamation of emergency veterinary services on the earliest basis. In addition to that, the government could develop long-term, sustainable strategies and projects through multi-sectoral engagement to ensure further capacity building of farmers and other stakeholders.

Background and Aims: Breast cancer is the second leading cause of cancer death in women worldwide. The significantly higher mortality rate has been considered due to poor knowledge of women, delay in diagnosis, and initiation of treatment. Therefore, this hospital‐based cross‐sectional study aimed to understand the knowledge and perception of women with breast cancer in Bangladesh.Methods: Data was collected using a questionnaire‐based interview from 357 women aged 15–49 years attending two tertiary care hospitals in Chattogram city of Bangladesh.Results: Neighbors (18.6%) and relatives (18.1%) were the leading sources of information on breast cancer. Among the total, 69.5% knew about breast cancer however, only 14% of them knew about screening tests and 61.5% were unaware of risk factors for developing breast cancer. Pain in the breast, painless lump, and nipple discharge were the most recognized clinical symptoms by the participants. Exercise and weight control, the practice of breastfeeding, and taking medicine were the three most known prevention practices. Women perceived wrong conceptions that Breast cancer is only found in older age (42.3%) and women (15.7%) and that it causes losing one's breast (3.1%). A significant correlation was found between the education level of participants and their knowledge of risk factors related to breast cancer.Conclusion: Although the majority of the participants have heard about breast cancer, they do not possess enough knowledge regarding the risk factor, symptoms, and preventive methods of breast cancer. We suggest interventions targeting a community‐based awareness program

In a tropical country like Bangladesh, where the climatic condition favors the growth of Aedes mosquito vectors, the success of dengue prevention depends largely on the proper identification and control of risk factors. Therefore this study was aimed to explore the potential risk factors and their association with dengue infection. A case-control study including 150 cases and 150 controls was conducted in Chattogram district of Bangladesh. Cases were confirmed dengue patients admitted in Chattogram medical college hospital and Bangladesh institute of tropical and infectious diseases during August and September 2019. On the other hand, controls were non-dengue patients admitted in other departments of the same hospitals through gender, age, and location matching. The questionnaire data were collected through telephone-based interviews, which included general demography, daily life activities, housing and surrounding environment of participants. Chi-square and binary logistic regression were performed to identify potential risk factors. The study found that travel history to the high incidence area, staying most of the daytime in office (AOR = 18.10), living in 21–40 years old houses (AOR = 9.74), and the temporary residency in the city (AOR = 10.20) were statistically significant risk factors for getting dengue infection. However, day time sleep, house type and structure, number of family members, morning and evening walk, plant in resident, and junk yard around 250 m of the house were also showed a significant effect in chi square test. Results strengthen our understanding regarding the role of factors associated with daily lifestyle and living environment of people in the development of dengue and hence support the dengue control program in Bangladesh. The study will provide a basis for future extended research covering different parts of the country.