A comprehensive review on the biomedical frontiers of nanowire applications.

This comprehensive review examines the immense capacity of nanowires, nanostructures characterized by unbounded dimensions, to profoundly transform the field of biomedicine. Nanowires, which are created by combining several materials using techniques such as electrospinning and vapor deposition, possess distinct mechanical, optical, and electrical properties. As a result, they are well-suited for use in nanoscale electronic devices, drug delivery systems, chemical sensors, and other applications. The utilization of techniques such as the vapor-liquid-solid (VLS) approach and template-assisted approaches enables the achievement of precision in synthesis. This precision allows for the customization of characteristics, which in turn enables the capability of intracellular sensing and accurate drug administration. Nanowires exhibit potential in biomedical imaging, neural interfacing, and tissue engineering, despite obstacles related to biocompatibility and scalable manufacturing. They possess multifunctional capabilities that have the potential to greatly influence the intersection of nanotechnology and healthcare. Surmounting present obstacles has the potential to unleash the complete capabilities of nanowires, leading to significant improvements in diagnostics, biosensing, regenerative medicine, and next-generation point-of-care medicines.

Satisfaction Levels in Doctors About Workplace Environment During the COVID-19 Pandemic: Experiences from Tertiary Hospitals in Dhaka, Bangladesh.

BACKGROUND: The satisfaction level of doctors regarding the workplace environment signifies both the psychological and physical environment. One of the many challenges to conquer was the adaptation to a steadily changing working environment and the development of a proper working environment during the COVID-19 pandemic. OBJECTIVES: The objective of this study was to evaluate the level of satisfaction of doctors regarding the workplace environment.  Methods: A cross-sectional study was conducted from January to December 2020. A total of 217 conveniently selected doctors working at selected tertiary hospitals in Dhaka city were interviewed using a pretested, structured questionnaire. The Minnesota Satisfaction Questionnaire (MSQ) was used to assess the level of job satisfaction on a 5-point Likert scale consisting of 20 items. The percentile score was used to categorize the respondents as highly satisfied (75 and above), averagely satisfied (26 to 74), and dissatisfied (below 25). Bivariate and multivariate analyses were performed.  Result: Among the 217 respondents, the total mean MSQ score was 3.62±0.23 regarding job satisfaction. About two-thirds of the respondents (63.1%) reported an average level of satisfaction. More than two-thirds of respondents (69.6%) expressed high satisfaction regarding the physical work environment, while the majority of respondents (93.1%) expressed high satisfaction with the psychosocial work environment. However, no significant association was found between outcome and input variables (p>0.05).  Conclusion: The study findings showed that satisfaction regarding the psychological environment was higher among the respondents than that of physical working conditions. Evidence-based measures are to be addressed in hospitals to achieve the optimum level of satisfaction among doctors during pandemics.

Megacities as drivers of national outbreaks: The 2017 chikungunya outbreak in Dhaka, Bangladesh.

BACKGROUND: Several large outbreaks of chikungunya have been reported in the Indian Ocean region in the last decade. In 2017, an outbreak occurred in Dhaka, Bangladesh, one of the largest and densest megacities in the world. Population mobility and fluctuations in population density are important drivers of epidemics. Measuring population mobility during outbreaks is challenging but is a particularly important goal in the context of rapidly growing and highly connected cities in low- and middle-income countries, which can act to amplify and spread local epidemics nationally and internationally. METHODS: We first describe the epidemiology of the 2017 chikungunya outbreak in Dhaka and estimate incidence using a mechanistic model of chikungunya transmission parametrized with epidemiological data from a household survey. We combine the modeled dynamics of chikungunya in Dhaka, with mobility estimates derived from mobile phone data for over 4 million subscribers, to understand the role of population mobility on the spatial spread of chikungunya within and outside Dhaka during the 2017 outbreak. RESULTS: We estimate a much higher incidence of chikungunya in Dhaka than suggested by official case counts. Vector abundance, local demographics, and population mobility were associated with spatial heterogeneities in incidence in Dhaka. The peak of the outbreak in Dhaka coincided with the annual Eid holidays, during which large numbers of people traveled from Dhaka to other parts of the country. We show that travel during Eid likely resulted in the spread of the infection to the rest of the country. CONCLUSIONS: Our results highlight the impact of large-scale population movements, for example during holidays, on the spread of infectious diseases. These dynamics are difficult to capture using traditional approaches, and we compare our results to a standard diffusion model, to highlight the value of real-time data from mobile phones for outbreak analysis, forecasting, and surveillance.