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Aim: This study aimed at exploring the perception and experiences with regard to the COVID-19 pandemic among Bangladeshi urban young adults. Subject and methods: Using a mixed-method approach, an online cross-sectional survey among 315 participants and in-depth interviews (IDI) among 20 young adults were conducted from May 1 to May 25, 2020. Descriptive statistics and chi-square tests were performed for quantitative data, along with the thematic analysis for qualitative data. Results: The mean (± SD) age of the participants was 26.54 (± 3.05), and the majority were male (54.9%). About 81.6% of the participants reported COVID-19 as a viral disease, transmitted through droplets of sneezing and coughing, and close contact with another person (90.8%). Nearly 40% of participants reported news channels as a reliable source of information for COVID-19. Participants who were male were less likely to be aware than females in terms of mode of transmission of COVID-19 such as going outside of the home (82.7% male vs 90.8% female; p <0.05). Male participants thought they were perfectly healthy and more reluctant to agree with maintaining social distance compared to female participants (72.8% male vs 90.1% female; p< 0.001). Participant’s satisfaction level with services provided by the government was also significantly different and higher among females than male participants (39.9% male vs 53.5% female; p< 0.05). The majority of the participants reported suffering due to financial uncertainty, psychological distress, and inadequate health facilities. Dissatisfaction was reported with the existing health services as creating several misconceptions, lacking testing facilities, and debasement by the health professionals. Conclusion: This study found a better perception regarding COVID-19 among the young adults, but they had poor preventive practices. Health education intervention with the rapid response should be implemented targeting this vulnerable group to improve their preventive practices.

Aim: This study aimed to assess knowledge, attitudes, and practices (KAP) toward COVID-19 among youth in Bangladesh. Subject and methods: A cross-sectional survey was conducted from 5 May to 25 May 2020. People aged between 18 and 35 years were approached via social media to complete an online questionnaire that consisted of socio-demographic information and KAP toward COVID-19. Descriptive statistics, t-tests, one-way analysis of variance (ANOVA), and logistic regression analyses were conducted. Results: Out of 707 survey participants, 57.1% were male, the majority were students (60.3%), aged 24-29 years (61.5%), having a bachelor’s degree (57%), having family income 25,000-50,000 BDT (40.5%) and living in urban areas (64.4%). Participants gathered information on COVID-19 mostly through social media (70.4%). Overall, 61.2% had adequate knowledge with 78.9% having a positive attitudes toward COVID-19 and only 51.6% had good practices. Most (86.8%) of the participants were confident that COVID-19 will be successfully controlled and Bangladesh was handling the COVID-19 health crisis well (84.2%). Only 75.2% of participants always washed their hands with soap or hand-sanitizer, and 70.6% wore a mask when going outside the home. Factors associated with adequate knowledge were being female, having a master’s degree and above, and living in an urban area (p< 0.05). Participants having adequate knowledge of COVID-19 had higher likelihood of positive attitudes (OR: 6.41, 95% CI = 2.34–25.56, p< 0.001) and good practices (OR: 8.93, 95% CI = 3.92–38.42, p< 0.001). Conclusion: The findings highlight the need for tailored education programs for COVID-19 which incorporates consideration of associated factors to improve the level of public knowledge, attitudes, and practices.

A Correction to this paper has been published: https://doi.org/10.1007/s10389-021-01488-z

Vertical stacking of multiple optical banyan networks is a novel scheme for building banyan-based nonblocking optical switches. The resulting network, namely vertically stacked optical banyan (VSOB) network, preserves the properties of small depth and absolutely loss uniformity but loses the nice self-routing capability of banyan networks. To guarantee a high switching speed, routing in VSOB network needs special attentions so that paths can be established as fast as possible. The best known global routing algorithm for an N× Nnonblocking VSOB network has the time complexity of O(Nlog N), which will introduce an unacceptable long delay in path establishment for a large size optical switch. In this paper, we propose two fast routing algorithms for the VSOB network based on the idea of inputs grouping. The two algorithms, namely plane fixed routing (PFR) algorithm and partially random routing (PRR) algorithm, have the time complexities of O(log N) and O( $$\sqrt N $$ ) respectively, and FR algorithm can actually turn a VSOB network into a self-routing one. Extensive simulation based on a network simulator indicates that for large VSOB networks our new algorithms can achieve a reasonably low blocking probability while guarantee a very high switching speed.