Detecting COVID-19 Pneumonia over Fuzzy Image Enhancement on Computed Tomography Images.

COVID-19 is the worst pandemic that has hit the globe in recent history, causing an increase in deaths. As a result of this pandemic, a number of research interests emerged in several fields such as medicine, health informatics, medical imaging, artificial intelligence and social sciences. Lung infection or pneumonia is the regular complication of COVID-19, and Reverse Transcription Polymerase Chain Reaction (RT-PCR) and computed tomography (CT) have played important roles to diagnose the disease. This research proposes an image enhancement method employing fuzzy expected value to improve the quality of the image for the detection of COVID-19 pneumonia. The principal objective of this research is to detect COVID-19 in patients using CT scan images collected from different sources, which include patients suffering from pneumonia and healthy people. The method is based on fuzzy histogram equalization and is organized with the improvement of the image contrast using fuzzy normalized histogram of the image. The effectiveness of the algorithm has been justified over several experiments on different features of CT images of lung for COVID-19 patients, like Ground-Glass Opacity (GGO), crazy paving, and consolidation. Experimental investigations indicate that among the 254 patients, 81.89% had features on both lungs; 9.5% on the left lung; and 10.24% on the right lung. The predominantly affected lobe was the right lower lobe (79.53%).

Caregivers' Compliance and Perception of Daycare Centers-A Community-Based Childhood Drowning Prevention Intervention Implemented in Rural Bangladesh.

Drowning was one of the most prevalent causes of death worldwide for children under five in 2020. Drowning was the second leading cause of death for children under five in Bangladesh, while 58% of all deaths in the 1-5 years old age group resulted from drowning. Adult supervision helps prevent child drowning in rural areas where water bodies are easily accessible and located very close to homes. This paper aims to assess caregivers' compliance and perception of community daycare centers in rural Bangladesh, piloted as a child drowning prevention intervention. In this longitudinal study, each child enrolled in the daycare intervention was visited and data on compliance and satisfaction with the daycare were collected. Descriptive statistics on daycare attendance, patterns of supervision, and caregivers' perceptions about daycare were reported. When inquired about daycare attendance (n = 226,552), a total of 77.4% of children (n = 175,321) were found to attend daycare. The distance from homes and an adult's unavailability to take the child to daycare were the most common reasons for not attending or discontinuing enrollment. The majority of children (76.4%) were supervised by their mothers during daycare closures. A total of 67.7% of respondents perceived daycare to be a safe place, where children also developed cognitive (51.7%) and social skills (50.6%). There were no incidences of drowning among children while attending daycare. Rural families were found to be compliant with the daycare and professed it to be a safe place protecting children from drowning and other injuries, while allowing them to focus on household chores or income-generating activities. These findings indicate a potential for the expansion of this intervention in rural Bangladesh and similar settings.

Compliance to playpen usages to enhance parental supervision of under-five children in rural community of Bangladesh.

INTRODUCTION: In Bangladesh, injury is one of the leading causes of death and morbidity in children. All children under 5 years of age are at high risk for drowning though the risks are highest when children first learn to walk and crawl while they do not understand the danger of water. The Centre for Injury Prevention and Research, Bangladesh (CIPRB) in collaboration with Johns Hopkins International Injury Research Unit (JH-IIRU) has been implementing two drowning prevention interventions, providing playpens and community day care centres (anchal), or both in three rural sub-districts of Bangladesh under Saving of Lives from Drowning (SoLiD) project in Bangladesh. In CIPRB intervention areas, wooden playpens were distributed among the children nine months to three years at household (HH) level. OBJECTIVE: The aim of this study was to explore and understand the acceptability and perceptions of parents towards playpen and its relevance for drowning and injury related mortality and morbidity prevention. METHODS: Anchal mothers ('anchal maa' in Bangla) distributed 30,553 playpens and collected compliance information at the HH level using a structured questionnaire. 1600 trained anchal maas collected data via face to face interviews from May 2014 to November 2015. Playpen compliance visits were conducted periodically on the second and seventh days and every two months after delivering the playpen. Data were entered using standard data entry formats and analyzed using SPSS software version 23. RESULTS: Parents reported that playpen is a safe place and protects children from drowning and other injuries. During compliance data collection, anchal maa founds that 71.8% of all children were using playpen and 93.7% (of 71.8%) children were playing inside the playpen while mothers were busy with their household chores like cooking, washing dishes and clothes, taking care of their poultry and domestic animals etc. 95.7% parents reported playpen is being used for keeping the child safe. On an average, the children were placed two to six times per day in a playpen. 99.1% of the children who reported using a playpen did not get any injuries (falls, cuts and bruises) while using the playpen. Satisfaction level with the playpen intervention among mothers was 90.5%. Some respondents suggested improving the playpen utilization by providing toys, adding wheels for ease of mobility, and increasing the height. CONCLUSION: The playpens were found to be well accepted and utilized for the children, especially when mothers were busy with their household chores.

Challenges in Preventive Practices and Risk Communication towards COVID-19: A Cross-Sectional Study in Bangladesh.

Bangladesh recently experienced a COVID-19 second wave, resulting in the highest number of new cases and deaths in a single day. This study aims to identify the challenges for COVID-19 preventive practices and risk communications and associated factors among Bangladeshi adults. A cross-sectional survey was conducted between December 2020 and January 2021 involving 1382 Bangladeshi adults (aged ≥ 18-years) in randomly selected urban and rural areas from all eight divisions in Bangladesh. Descriptive data analysis was conducted to highlight the challenges for preventive practices and risk communications for COVID-19. Multiple logistic regression analysis was used to determine the sociodemographic groups vulnerable to these challenges. Lack of availability of protective equipment (44.4%), crowded living situations/workspaces (36.8%), inadequate information on the proper use of protective measures (21.9%), inadequate handwashing and sanitation facilities (17.6%), and negative influences on family/friends (17.4%) were identified as barriers to COVID-19 preventive practices. It was also found that males (OR = 1.3, 95% CI = 1.01, 1.7), rural residents (OR = 1.5, 95% CI = 1.2, 2), respondents with a low level of education: no schooling vs. ≥higher secondary (OR = 3.5, 95% CI = 2.3, 5.2), primary vs. ≥higher secondary (OR = 2.5, 95% CI = 1.7, 3.8), respondents engaged in agricultural (OR = 1.7, 95% CI = 1.2, 2.4), laboring (OR = 3.2, 95% CI = 2, 5), and domestic works (OR = 1.6, 95% CI = 1.07, 2.5), and people with disabilities (OR = 1.7, 95% CI = 1.1, 2.6) were all likely to have difficulty in practicing effective COVID-19 protective behaviors. Respondents' education and occupation were significant predictors of inadequate understanding of COVID-19 risk communications and was identified as a problem among 17.4% of the respondents. A substantial percentage of Bangladeshi adults have difficulty practising COVID-19 protective behaviours and have poor comprehension of risk communications, particularly in rural areas and among those with low education. This research can aid policymakers in developing tailored COVID-19 risk communications and mitigation strategies to help prevent future waves of the pandemic.

A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic.

The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic's dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges.

Predictors of non-fatal violence or assault among adolescents in rural Bangladesh: cross-sectional study.

OBJECTIVE: To determine the predictors of non-fatal violence or assault among adolescents in rural Bangladesh to inform evidence-based interventions. DESIGN: Cross-sectional study. SETTING: Household survey and national census in 51 unions of rural Bangladesh. PARTICIPANTS METHODS AND MAIN OUTCOME: 213 782 adolescents aged 11-19 years who reported violence during a population-based survey in 2013. We used logistic regression to determine the prevalence of factors that predict non-fatal forms of violence or assaults among adolescents. Assault or violence was defined as all injuries inflicted directly by another person or resulting from collateral impact over a 6-month recall period. RESULTS: 457 (0.21%) cases of violence or assault were reported. The adjusted prevalence ratio (PR) of violence was lower among female adolescents compared with males (PR: 0.60, 95% CI 0.47 to 0.78, p<0.001). Compared with the lowest socioeconomic quintile, being in a higher quintile was associated with lower prevalence of violence, with a 39% decrease in the adjusted prevalence of violence among adolescents in highest compared with lowest socioeconomic index (PR: 0.61, 95% CI 0.44 to 0.84). The adjusted prevalence of violence in Chandpur and Comilla districts was 7.30 times and 7.27 times higher respectively than the prevalence of violence in Sirajganj (PR: 7.30, 95% CI 4.07 to 13.10 and PR: 7.27, 95% CI 3.56 to 14.84, respectively). There was no significant difference in the adjusted prevalence of violence occurring in school compared with home (PR: 1.19, 95% CI 0.85 to 1.69). CONCLUSION: Male adolescents may be at an increased risk of suffering violence, and socioeconomic factors and place (districts) are strong predictors of adolescent violence among a selected population in rural Bangladesh. These findings are important in guiding interventions to address the burden of violence among adolescents in communities with similar demographics as our study population. Further research is needed to identify the actual burden of violence among adolescents at national level and to establish an effective violence prevention programme across Bangladesh.

Oral Hygiene Awareness and Practices among a Sample of Primary School Children in Rural Bangladesh.

Inadequate oral health knowledge and awareness is more likely to cause oral diseases among all age groups, including children. Reports about the oral health awareness and oral hygiene practices of children in Bangladesh are insufficient. Therefore, the objective of this study was to evaluate the oral health awareness and practices of junior school children in Mathbaria upazila of Pirojpur District, Bangladesh. The study covered 150 children aged 5 to 12 years of age from three primary schools. The study reveals that the students have limited awareness about oral health and poor knowledge of oral hygiene habits. Oral health awareness and hygiene practices amongst the school going children was found to be very poor and create a much-needed niche for implementing school-based oral health awareness and education projects/programs.

Transfer between pose and illumination training in face recognition.

The relationship between pose and illumination learning in face recognition was examined in a yes-no recognition paradigm. The authors assessed whether pose training can transfer to a new illumination or vice versa. Results show that an extensive level of pose training through a face-name association task was able to generalize to a new illumination (Experiments 1 and 3), but an equal level of illumination training failed to generalize to a new pose (Experiment 2). The transfer of pose training was likely to depend on a relatively extensive level of training because the same faces with reduced level of exposure (Experiment 4) were unable to reproduce the transfer effect. The findings suggest that generalization of pose training may be extended to different types of image variation, whereas generalization of illumination training may be confined within the trained type of variation.

Animal-related injuries and fatalities: evidence from a large-scale population-based cross-sectional survey in rural Bangladesh.

OBJECTIVE: This study determines the magnitude and pattern of animal-related injury mortalities and morbidities in rural Bangladesh. DESIGN AND SETTING: A cross-sectional survey was conducted in 51 Unions of 7 subdistricts of Bangladesh from June 2013 to September 2013. PARTICIPANTS: A total of approximately 1.17 million individuals across all age and gender profiles were included in the survey. The participants had to be residents of the seven subdistricts and have provided consent to participate in the study. PRIMARY AND SECONDARY OUTCOME MEASURES: Animal-related injury characteristics and demographic information was collected in the study. Frequency, proportion and 95% CIs of variables such as type of animal, type of animal attack, activity of the person prior to attack and the seasonality of the injury were reported. Data was then statistically analysed for associations between injury and sociodemographic characteristics. RESULTS: The incidence rate of fatal and non-fatal animal-related injuries across all ages were 0.7 (95% CI 0.4 to 1.4) and 1635.3 (95% CI 1612.0 to 1658.0) per 100 000 populations, respectively. Non-fatal animal-related injury rates were highest among adults 18 years and older (1820.6 per 100 000 population (1777.2 to 1865.1)), and in males across all age groups. The most common animal injury was wasp/hornet/bee sting (49%), followed by cow/buffalo (25%), dog bite (9%) and snake bites (9%). CONCLUSIONS: Animal-related injuries are an important public health issue in rural Bangladesh. The incidence of animal-related morbidities was found high in the study area. Males, school-going and productive age groups were at high risk. Immediate attention should be given to prevent these events.

On fuzzy semantic similarity measure for DNA coding.

A coding measure scheme numerically translates the DNA sequence to a time domain signal for protein coding regions identification. A number of coding measure schemes based on numerology, geometry, fixed mapping, statistical characteristics and chemical attributes of nucleotides have been proposed in recent decades. Such coding measure schemes lack the biologically meaningful aspects of nucleotide data and hence do not significantly discriminate coding regions from non-coding regions. This paper presents a novel fuzzy semantic similarity measure (FSSM) coding scheme centering on FSSM codons׳ clustering and genetic code context of nucleotides. Certain natural characteristics of nucleotides i.e. appearance as a unique combination of triplets, preserving special structure and occurrence, and ability to own and share density distributions in codons have been exploited in FSSM. The nucleotides׳ fuzzy behaviors, semantic similarities and defuzzification based on the center of gravity of nucleotides revealed a strong correlation between nucleotides in codons. The proposed FSSM coding scheme attains a significant enhancement in coding regions identification i.e. 36-133% as compared to other existing coding measure schemes tested over more than 250 benchmarked and randomly taken DNA datasets of different organisms.