Background. Most maternal deaths occur during childbirth and after childbirth. This study was aimed at determining the trends of health facilities during delivery in Bangladesh, as well as their ...influencing factors. Methods. This study used secondary data from three Bangladesh Multiple Indicator Cluster Surveys (MICSs) in 2006, 2012–13, and 2019. The study’s target sample was those women who gave birth in the last two years of the survey. A two-level logistic regression was applied to determine the effects on health facility delivery separately in these two survey points (MICSs 2012–13 and 2019). Results. The results show that the delivery of health facilities has increased by almost 37.4% in Bangladesh, from 16% in 2006 to 53.4% in 2019. The results of two-level logistic regression show that the total variation in health facility delivery across the community has decreased over recent years. After adding community variables, various individual-level factors such as women with secondary education (OR=0.55 in 2012-13 vs. OR =0.60 in 2019), women from middle wealth status (OR=0.49 in 2012-13 vs. OR=0.65 in 2019), religion, and child ever born showed a strong relationship with health facility delivery in both survey years. At the community level, residents showed significant association only in the 2012-13 survey and indicated a 43% (OR=1.43 for 2012-13) greater availability of health facilities in urban residences than in rural residences. Using media showed a highly significant connection with health facility delivery in both years as well as an increasing trend over the years in Bangladesh (OR=1.19 in 2012-13 vs. OR=1.38 in 2019). However, division, prenatal care, and skilled services all contribute greatly to increasing the delivery of health facilities in Bangladesh. Conclusions. The results of this study suggest that policymakers need to pay attention to individual and community-level factors, especially women’s education, poverty reduction, and adequate prenatal care provided by well-trained caregivers.
The outbreak of COVID-19 is a global problem today, and, to reduce infectious cases and increase recovered cases, it is relevant to estimate the future movement and pattern of the disease. To ...identify the hotspot for COVID-19 in Bangladesh, we performed a cluster analysis based on the hierarchical k-means approach. A well-known epidemiological model named “susceptible-infectious-recovered (SIR)” and an additive regression model named “Facebook PROPHET Procedure” were used to predict the future direction of COVID-19 using data from IEDCR. Here we compare the results of the optimized SIR model and a well-known machine learning algorithm (PROPHET algorithm) for the forecasting trend of the COVID-19 pandemic. The result of the cluster analysis demonstrates that Dhaka city is now a hotspot for the COVID-19 pandemic. The basic reproduction ratio value was 2.1, which indicates that the infection rate would be greater than the recovery rate. In terms of the SIR model, the result showed that the virus might be slightly under control only after August 2022. Furthermore, the PROPHET algorithm observed an altered result from SIR, implying that all confirmed, death, and recovered cases in Bangladesh are increasing on a daily basis. As a result, it appears that the PROPHET algorithm is appropriate for pandemic data with a growing trend. Based on the findings, the study recommended that the pandemic is not under control and ensured that if Bangladesh continues the current pattern of infectious rate, the spread of the pandemic in Bangladesh next year will increase.
Introduction: The purpose of this research was to predict mental illness among university students using various machine learning (ML) algorithms. Methods: A structured questionnaire-based online ...survey was conducted on 2121 university students (private and public) living in Bangladesh. After obtaining informed consent, the participants completed a web-based survey examining sociodemographic variables and behavioral tests (including the Patient Health Questionnaire (PHQ-9) scale and the Generalized Anxiety Disorder Assessment-7 scale). This study applied six well-known ML algorithms, namely logistic regression, random forest (RF), support vector machine (SVM), linear discriminate analysis, K-nearest neighbors, Naïve Bayes, and which were used to predict mental illness among university students from Dhaka city in Bangladesh. Results: Of the 2121 eligible respondents, 45% were male and 55% were female, and approximately 76.9% were 21–25 years old. The prevalence of severe depression and severe anxiety was higher for women than for men. Based on various performance parameters, the results of the accuracy assessment showed that RF outperformed other models for the prediction of depression (89% accuracy), while SVM provided the best result than other models for the prediction of anxiety (91.49% accuracy). Conclusion: Based on these findings, we recommend that the RF algorithm and the SVM algorithm were more moderate than any other ML algorithm used in this study to predict the mental health status of university students in Bangladesh (depression and anxiety, respectively). Finally, this study proposes to apply RF and SVM classification when the prediction of mental illness status is the core interest.
Early development is a vital phase in childhood life. The study aimed to identify factors that were associated with the early development of 36–59 months children in Bangladesh. The findings of this ...study will formulate the design of appropriate policy and programmed responses.
Utilizing Multiple Indicator Cluster Survey data, influencing components of child development status were evaluated for both rural and urban areas of Bangladesh. A total of 23,099 children under the age of five were included in this analysis. Chi-square analysis was conducted to assess the association between outcome variables and selected covariates. At the same time, this study uses two separate multivariate binary logistics regression models (respectively for urban areas and rural areas) to determine the risk factors that are primarily related to child development.
Our research estimates that more than 70 percent of children develop early throughout the country. The multivariate analysis on the determinants of child development index among children aged between 36 and 59 months old regarding residence discovered a significant impact on child age and sex, maternal education, child education, wealth status, reading children's books. The adjusted odds of child nutrition status, playthings, and maternal functional difficulties have had a major impact on early child development in rural Bangladesh.
Based on the findings, educational status, nutritional status, wealth-status, and some determinants of children care the most noteworthy findings in this study. Hence, policymakers should emphasize on such factors for improving children's development in residence.
Child development, Early school attend, Cognitive development, Nutrition.
Background
Natural restoratives from traditional medicinal plants are considered to be a convenient, potent, and risk-free substitute treatment for hyperglycaemia. Our objective was to explore the ...activity of the crude extract of
Heritiera fomes
on postprandial hyperglycaemia by assessing relative measurements in a laboratory animal model.
Methods
The Streptozotocin induced diabetic rat (n = 88, twenty-two per group) was used for the glucose tolerance test as an initial support for the study. BaSO4 was administered orally as a marker to measure gut motility after one hour of methanolic extract (500 mg/kg body weight) administration where, only purified water (10 ml/kg) was used to treat the control group (n = 12) and a dose (500 mg/kg) of
H. fomes
extract was used for the test group (n = 12 in each group). After 60 min of incubation of the mixture of extract and glucose with 10% (v/v) yeast cell suspension, the absorbance was measured to determine the capacity of glucose absorption by yeast cells. Sixty
Long Evans
rats (n = 12 in each group) were used to assess disaccharidase enzyme activity as µmol/mg protein per hour by Lowry’s protein estimation method. The carbohydrate absorption investigation was executed to evaluate the leftover sucrose content in the gastrointestinal system (n = 64).
Results
After oral administration of MHFL (71.84%), MHFB (71.41%), and MHFR (72.55%), GI motility (%) increased significantly (
p
< 0.001) compared to the control group (59.06%). A significant increase in glucose uptake and adsorption capacity measured by different concentrations of glucose ensures the decrease of glucose bound rate and a significant drop in blood glucose concentration. The significant (
p
< 0.001) decrease in intestinal disaccharidase activity of MHFL (1.40), MHFB (1.36), and MHFR (1.20) in comparison to the control group (1.50) indicates that the presence of
H. fomes
may reduce glucose absorption in the small bowel. Significant (
p
< 0.001 &
p
< 0.05) accumulation of sucrose content in the six different parts of the GI tract suggests the absorption of sucrose was decreased.
Conclusions
The findings of this study provide evidence on probable mechanisms for the anti-diabetic characteristics of
H. fomes
, and it is predicted that this plant will be studied further for the development of strong anti-hyperglycemic medicines.
Intended pregnancy is one of the significant indicators of women’s well-being. Globally, 74 million women become pregnant every year without planning. Unintended pregnancies account for 28% of all ...pregnancies among married women in Bangladesh. This study aimed to investigate the performance of six different machine learning (ML) algorithms applied to predict unintended pregnancies among married women in Bangladesh. From BDHS 2017-18, only 1129 pregnant women aged 15–49 were eligible for this study. An independent χ2 test had performed before we considered six popular ML algorithms, such as logistic regression (LR), random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), naïve Bayes (NB), and elastic net regression (ENR) to predict the unintended pregnancy. Accuracy, sensitivity, specificity, Cohen’s Kappa statistic, and area under curve (AUC) value were used as model evaluation. The bivariate analysis result showed that women aged 30–49 years, poor, not educated, and living in male-headed households had a higher percentage of unintended pregnancy. We found various performance parameters for the classification of unintended pregnancy: LR accuracy = 79.29%, LR AUC = 72.12%; RF accuracy = 77.81%, RF AUC = 72.17%; SVM accuracy = 76.92%, SVM AUC = 70.90%; KNN accuracy = 77.22%, KNN AUC = 70.27%; NB accuracy = 78%, NB AUC = 73.06%; and ENR accuracy = 77.51%, ENR AUC = 74.67%. Based on the AUC value, we can conclude that of all the ML algorithms we investigated, the ENR algorithm provides the most accurate classification for predicting unwanted pregnancy among Bangladeshi women. Our findings contribute to a better understanding of how to categorize pregnancy intentions among Bangladeshi women. As a result, the government can initiate an effective campaign to raise contraception awareness.
The global severity of COVID-19 remains high which results anxiety and other mental health problems, also it altered people's everyday lives, affected human connections and economic operations. The ...goal of this comprehensive review was to identify the effects of the linkage COVID-19 pandemic on the mental health of different groups and communities. This study compiled evidences of a link between anxiety rates and the COVID-19 pandemic. The evaluation period started in June’ 2022 and ended on August’2022, during this time, total four databases such as PubMed, Science Direct, Tailor & Francis Online, and Springer were used to search scientific literatures. A total 616 studies were identified from all four databases and 63 scientific literatures were selected based of predetermined criteria for review which were published in between 2020 to 2022. Three groups of population such as general population, students and healthcare professionals were taken for review the findings from the selected literatures. Gender, physical disorders, psychiatric disorders, COVID infection, infection rates in colleagues or family members, experience of frontline work & non-frontline work, close contact with infected patients, high exposure risk, quarantine experience, etc. were highly considered as factors associated with increased prevalence of anxiety among all three groups. During the COVID-19 pandemic, the general population, healthcare professionals, and students experienced an increase in the prevalence of mental diseases, whereas infected individuals had a decrease. Females were highly prevalent to anxiety than male. Our comprehensive review concluded significant co-relation between anxiety and COVID-19 but long-term study is needed to better understand which may define the population's mental condition in future.
Small interference RNA (siRNA) is a double-stranded RNA of 21~25 nucleotides. siRNA functions using a natural phenomenon known as RNA interference (RNAi), a gene silencing mechanism. Hypothetically, ...siRNA can target and regulate the expression of any disease-related gene in a sequence-specific manner. In 1993, this mechanism was noticed in a nematode Caenorhabditis elegans, later discovered in humans. After two decades, in 2018, the first siRNA therapeutics (Patisiran) were developed successfully and got approval from USFDA. Followed by three more siRNA drugs (Givosiran, Lumasiran, and Inclisiran) approved in consecutive years to treat rare, inherited genetic disorders. Recently approved one is Vutisiran with a similar indication of patisiran. Limitation of conventional therapies, this new & standard pharmacotherapy opens a new era of changing the treatment options of human diseases. Six siRNA candidates are in phase III clinical trials and are hoped to enter the pharmaceutical market soon. Challenges faced during the development of these novel therapies were off-target effects, target-specific delivery, cellular uptake, recognition by the innate immune system, limited efficacy, and others. However, chemical modification of the siRNA nucleotides in sugar, base, and phosphate moiety makes it successful in overcoming obstacles. In addition, a non-viral delivery carrier also helped in many aspects during formulation. This study is a narrative review and will summarize pharmacokinetic, pharmacodynamic, design approaches, and other attributes faced during the development of marketed siRNA products.
Aims: Because of various traditional uses of Tridax procumbens leaves, the authors choose the plant for investigating the numerous biological activities. The main objective for this study is to ...search antioxidant activity, hypoglycemic activity and antibacterial activities with initial phytochemical investigations of the leaves of Tridax procumbens.
Methodology: The phytochemical purposes were achieved by using two different chromatographic techniques thin layer chromatography (TLC), vacuum liquid chromatography (VLC). DPPH test, glucose uptake activity of yeast cells and agar plate diffusion technique were performed to evaluate the antioxidant capacity, hypoglycemic activity and anti-bacterial properties respectively of different fraction obtained from VLC by using different solvent systems such as dichloromethane, butanol, ethyl acetate and methanol. 31.25 µg/ml, 62.5 µg/ml, 125 µg/ml, 250 µg/ml and 500 µg/ml sample were used from each fraction to investigate antioxidant and hypoglycemic activity where vitamin C tablet and metformin were used as standard respectively. Antibacterial capacity was measured by measuring zone of inhibition resulted by the fractions where ciprofloxacin was taken as reference drug.
Results: Some visible spots were identified in the TLC plate which confirms the presence of different compounds in the fractions obtained from the methanolic extract of the leaves of Tridax procumbens. Butanol and ethyl acetate fractions showed the highest antidiabetic activity. In addition to, ethyl acetate, butanol and methanol fractions exerted more than 80% antioxidant capacity in DPPH assay. Furthermore, butanol fraction gives maximum zone of inhibition up to 21 mm against Staphylocuccos aureas which ensure anti-bacterial properties of the leaves of Tridax procumbens especially against Staphylocuccos aureas and its strains.
Conclusion: Notwithstanding the all the research, the leaves had anti-inflammatory properties, which may have been generated by their antioxidant activity. As a result, if more therapeutic research is done, the separated compounds in those fractions may be employed as future therapeutic strategies.
Background Natural restoratives from traditional medicinal plants are considered to be a convenient, potent, and risk-free substitute treatment for hyperglycaemia. Our objective was to explore the ...activity of the crude extract of Heritiera fomes on postprandial hyperglycaemia by assessing relative measurements in a laboratory animal model. Methods The Streptozotocin induced diabetic rat (n = 88, twenty-two per group) was used for the glucose tolerance test as an initial support for the study. BaSO4 was administered orally as a marker to measure gut motility after one hour of methanolic extract (500 mg/kg body weight) administration where, only purified water (10 ml/kg) was used to treat the control group (n = 12) and a dose (500 mg/kg) of H. fomes extract was used for the test group (n = 12 in each group). After 60 min of incubation of the mixture of extract and glucose with 10% (v/v) yeast cell suspension, the absorbance was measured to determine the capacity of glucose absorption by yeast cells. Sixty Long Evans rats (n = 12 in each group) were used to assess disaccharidase enzyme activity as micromol/mg protein per hour by Lowry's protein estimation method. The carbohydrate absorption investigation was executed to evaluate the leftover sucrose content in the gastrointestinal system (n = 64). Results After oral administration of MHFL (71.84%), MHFB (71.41%), and MHFR (72.55%), GI motility (%) increased significantly (p < 0.001) compared to the control group (59.06%). A significant increase in glucose uptake and adsorption capacity measured by different concentrations of glucose ensures the decrease of glucose bound rate and a significant drop in blood glucose concentration. The significant (p < 0.001) decrease in intestinal disaccharidase activity of MHFL (1.40), MHFB (1.36), and MHFR (1.20) in comparison to the control group (1.50) indicates that the presence of H. fomes may reduce glucose absorption in the small bowel. Significant (p < 0.001 & p < 0.05) accumulation of sucrose content in the six different parts of the GI tract suggests the absorption of sucrose was decreased. Conclusions The findings of this study provide evidence on probable mechanisms for the anti-diabetic characteristics of H. fomes, and it is predicted that this plant will be studied further for the development of strong anti-hyperglycemic medicines. Keywords: Antidiabetic, Carbohydrate, Disaccharidase, Gastrointestinal motility, Glucose, Heritiera fomes
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