Knowledge and public health practices during lockdown towards COVID-19 in Bangladesh

The study aimed to assess the role of having knowledge and essential hygiene practices to prevent coronavirus pandemic and to find out the relationship between people’s knowledge and good hygiene practices with socio-demographic variables during coronavirus disease 2019 (COVID-19) pandemic situation. In this study, data were collected from 248 respondents for cross-sectional study using voluntary response sampling from April, 30 2020 to May, 30 2020, during lockdown situation in Bangladesh. Descriptive statistics were done to calculate the frequencies and percentages by using Stata SE 14.2 (StataCorp). Chi-square was performed at the significance level of 5% to find the factors which were associated with knowledge about COVID-19. After knowing about COVID-19, 86.29% respondents had taken preventive measures and 71.37% respondents had agreed to stay at home. Among the respondents, 47.98% were involved in services and were positively associated with good general knowledge of preventive practices. Our present findings indicated significant relationship between good general knowledge and practice of general people towards COVID-19 outbreak in Bangladesh. The findings of the study are helpful for the researchers and the population to follow all good promotional practices for preventive measures against coronavirus

Learning experience on career planning for community colleges in Malaysia

This study explored a learning experience in technical and vocational curriculum based on a career planning program. The aspect of career has always been ignored in the community college curriculum as it was considered less important in the education of students. Many studies showed that exposure to career since the early days of schooling are very effective in shaping the career maturity of students. This study has been conducted based on Backward Design curriculum model which used learning outcomes (graduation) as a tool to create a learning experience in the curriculum. This qualitative study was conducted on 15 respondents graduated from community college and are successful in their careers with a high income. Data was collected using Delphi techniques interview and each session had been transcribed. Thematic analysis has been conducted in 1st round Delphi techniques interview and Fuzzy Delphi Method (FDM) analysis has been used in second round of the Delphi Techniques. Findings indicate that there are three items learning experiences for pre-self-employment information (interests, self-efficacy, and intrinsic motivation) and four items of learning experiences for pre-employment career that influence the career planning. The item has been ranking base on priority for each items value of threshold (d) in FDM. Finally, in the conclusions and recommendations sectors the data identified by the research are described in detail and analyzed so that to ensure that the chain relationship of market research > curriculum design > vocational education and training will be effective and successful

A Novel Approach of Network Intrusion Detection using Deep Learning

Protecting computer systems and network against various types of attacks by malicious individual or system has become a vital challenge in recent time. Most or almost all the organizations/agencies maintain their regulatory and day-to-day activities using a connected intranet or internet and hence it becomes vital job to detect security breaches inside the organization’s network. An intelligent network intrusion detection system (NIDS) might play prominent role in surveillance for any possible attacks to the network infrastructures. Various Machine Learning techniques such as Neural Network, SVM, Naïve-Bayes (NB), Random Forests (RF), Decision Tree (DT) and many others already have been used to develop an NIDS. Many of these ML techniques show good prediction accuracy on known attacks, but demonstrate week response on new attacks. Deep Learning (DL) a new branch of Machine Learning has been emerged to show good out-of-sample accuracy since it can automatically learn the features well devising a multi-layered high dimensional space. There are very few works have done in security and in Intrusion detection using Deep Learning. In this work, I have built a novel system leveraging the various Deep Learning techniques such as Deep Autoencoder, Restricted Boltzman Machines and Deep Belief Network for detecting most of the possible attacks in a network infrastructure. This system can also find network attributes which mostly correlate or responsible for a new or old attack with ensuring very good predictive accuracy

Effectiveness of mobile short messaging services to improve parents’ knowledge, attitude and practices on drowning prevention in Charghat Upazila, Bangladesh

Introduction: Drowning contributes to injury and early death in many countries. Over 50% of global drowning deaths occur among children aged under 15 years old with children aged between 1 and 4 years of age being most at risk. Drowning is the third leading cause of death for children aged 0–4 years in many Asian countries, and is a serious but neglected health problem in low and middle-income countries (LMICs) like Bangladesh. In Bangladesh, drowning rates are 10 to 20 times more than those in other developed countries. The aim of the qualitative part of this study was to develop a mobile SMS (short messaging services) intervention to prevent children from drowning, while the quantitative part was to test the effectiveness of a mobile SMS intervention to improve the knowledge, attitude, and practices of parents of children aged under five concerning the prevention of drowning. Method: A mixed method was used. Qualitative part: Design: focus group discussions (FGDs) were conducted. Setting: a rural community in Bangladesh. Participants: Four FGDs were conducted with mothers and fathers of children aged under five years, and two group local community leaders. One FGD was conducted for each group. Out of 45 participants, 13 were women. Three in-depth interviews (IDIs) were conducted with parents who had children who had drowned, of which two were female. Quantitative part: Design: a cluster randomized community trial with 788 parents of children aged under five in a rural community of Bangladesh. Intervention: Mobile SMS intervention for parents of children under five years concerning the prevention of drowning. Outcome: differences in knowledge, attitude and practices of parents concerning the prevention of drowning between the baseline and immediate follow-up after the intervention, and after three months. Results: A total of 45 respondents participated in the qualitative part of this study, of which 32 (71.1%) were male, and 13 (28.8%) were female. The risk factors for drowning included the time (11:00am-2:00pm), gender, especially male, lack of swimming ability, parents who were not aware about childhood drowning, unwanted ditches that were not filled in, lack of medical facilities, and lack of information through mass media for the prevention of childhood drowning. There was a significant improvement in knowledge in the intervention group compared to the control group at different time points [baseline: F(1, 787) = 0.33, ρ-value = 0.56; immediately after intervention: F(1, 772) = 2989.25, ρ-value = 0.001; 3-months after intervention F(1, 761) = 4591.33, ρ-value = 0.001]. Similarly, there was an improvement in the positive attitude and good practices of parents on prevention of drowning. There were significant main effect for group [F(1, 379) = 5084.81, ρ-value = 0.001], time [F(1, 379) = 5786.11, ρ-value = 0.001], and group and time interaction [F(1, 331) = 2425.33, ρ-value = 0.001] in terms of the drowning prevention knowledge of parents. Similarly, the main effects for group, time, and group and time interaction for drowning prevention attitude and drowning prevention practices of parents were also significant. Conclusion: The mobile based SMS intervention developed was effective in improving the knowledge, attitude, and practices of parents of children aged under five concerning drowning prevention in a rural community of Bangladesh

Prevalence and Determinants of the Gender Differentials Risk Factors of Child Deaths in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey, 2011

<div><p>Background</p><p>The number of child deaths is a potential indicator to assess the health condition of a country, and represents a major health challenge in Bangladesh. Although the country has performed exceptionally well in decreasing the mortality rate among children under five over the last few decades, mortality still remains relatively high. The main objective of this study is to identify the prevalence and determinants of the risk factors of child mortality in Bangladesh.</p><p>Methods</p><p>The data were based on a cross-sectional study collected from the Bangladesh Demographic and Health Survey (BDHS), 2011. The women participants numbered 16,025 from seven divisions of Bangladesh – Rajshahi, Dhaka, Chittagong, Barisal, Khulna, Rangpur and Sylhet. The</p></div

Correlation Matrix with child deaths (girls) and socio-demographic variables, 2011 BDHS.

<p>Where,</p><p>X₁ = Respondents age,</p><p>X₂ = Place of residence,</p><p>X₃ = Educational level,</p><p>X₄ = Socioeconomic status,</p><p>X₅ = Total number of children ever born,</p><p>X₆ = Birth interval (Month),</p><p>X₇ = Mode of delivery and</p><p>X₈ = Size of child at last birth</p><p>Correlation Matrix with child deaths (girls) and socio-demographic variables, 2011 BDHS.</p