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BackgroundMaternal and child health remains a critical public health challenge in developing countries. Annually, an estimated 250 000–280 000 maternal deaths occur, with up to 95% attributed to inadequate access to timely, effective and quality healthcare. While digital health interventions have demonstrated significant potential in improving maternal health services, education and support in high-income settings, their effectiveness, feasibility and broader impact in resource-limited contexts remain understudied.Methods and analysisThis systematic review will assess the effectiveness, feasibility and impact of digital health interventions for pregnant women and new mothers in resource-limited settings across developing countries. We will conduct a comprehensive search of MEDLINE (via PubMed), Embase, Scopus, Google Scholar and grey literature sources to identify randomised controlled trials, quasi-experimental studies and observational studies published in any language. The quality of included studies will be assessed using the Cochrane‘s risk of bias tools, RoB 2 for randomised trials and the ROBINS-I tool for non-randomised studies. A standardised data extraction form will be developed, piloted and used to systematically collect study data. We will employ the web-based CADIMA platform to facilitate screening, data extraction and evidence synthesis while minimising bias. Data will be synthesised narratively by summarising study characteristics and, where appropriate, through meta-analysis using random-effects models to calculate pooled effect sizes. Finally, we will evaluate the strength of the evidence for each outcome using the Grading of Recommendations Assessment, Development and Evaluation approach to assess confidence in the findings.Ethics and disseminationNo ethical approval was required for this systematic review, as it uses only previously published data. The findings will be submitted for publication in a peer-reviewed journal and presented at relevant international conferences to disseminate them to the broader academic community. To ensure practical application of our results, we will develop a policy brief summarising key findings and recommendations.PROSPERO registration numberThis protocol is registered to PROSPERO, and the registration number is CRD42025631164.

Purpose-The purpose of this study is to critically analyze the Financial Compensation Funds being accumulated by Islamic Banks of Bangladesh in credit-based transactions. In this connection, due to the evolved liquidity crisis amidst the COVID-19, industry opinions are observed that suggest including the compensations or the donation funds directly into the bank's income account. But the Sharīʿah does not permit it. Such alternative proposals of using compensation or donation fund during crises are scrutinized under Sharīʿah principles to come to a logical conclusion. Design/methodology/approach-The approach followed in the study is textual and discourse analysis through descriptions of ideal Sharīʿah-compliant methods for handling late payment of credit and comparison with the industry practices. Findings-It is observed that there are conceptual gaps in the industry as is reflected in the Islamic Banking Guideline of Bangladesh. The funds collected from the debtor due to late payment are named as compensation (Ta‘wīḍ) whereas the nature of the transaction is a donation (Tabarru'). The misconception can lead to various Sharīʿah non-compliant activities later with the funds. The proposals brought out in the industry to use such compensation/donation funds during a crisis are a consequence of this. The proposals of using such funds for banks' purposes in any situation are not supported by Sharīʿah principles and are against the Islamic banking philosophy. Originality/value-The study is very relevant to the current crisis of COVID-19 in the domestic Islamic Banking Industry and also instrumental for the future guidance to stick to the Sharīʿah principles in managing compensation or donation funds by the Islamic Banks

The recently developed Fear of COVID-19 Scale (FCV-19S) is a seven-item uni-dimensional scale that assesses the severity of fears of COVID-19. Given the rapid increase of COVID-19 cases in Bangladesh, we aimed to translate and validate the FCV-19S in Bangla. The forward-backward translation method was used to translate the English version of the questionnaire into Bangla. The reliability and validity properties of the Bangla FCV-19S were rigorously psychometrically evaluated (utilizing both confirmatory factor analysis and Rasch analysis) in relation to socio-demographic variables, national lockdown variables, and response to the Bangla Health Patient Questionnaire. The sample comprised 8550 Bangladeshi participants. The Cronbach α value for the Bangla FCV-19S was 0.871 indicating very good internal reliability. The results of the confirmatory factor analysis showed that the uni-dimensional factor structure of the FCV-19S fitted well with the data. The FCV-19S was significantly correlated with the nine-item Bangla Patient Health Questionnaire (PHQ-90) ( r  = 0.406, p  < 0.001). FCV-19S scores were significantly associated with higher worries concerning lockdown. Measurement invariance of the FCV-19S showed no differences with respect to age or gender. The Bangla version of FCV-19S is a valid and reliable tool with robust psychometric properties which will be useful for researchers carrying out studies among the Bangla speaking population in assessing the psychological impact of fear from COVID-19 infection during this pandemic.

Over the last few decades, Bangladesh has made significant progress towards achieving targets for the Millennium Development Goals (MDGs) and women empowerment. This study is aimed at identifying the levels and patterns of women empowerment in relation to health seeking behavior in Bangladesh. We conducted a cross-sectional study among 200 rural married women in Cox's Bazar district in Bangladesh using multi stage sampling technique and face-to-face interview. Data was collected on socio-economic characteristics, proxy indicators for women empowerment in mobility and health seeking behavior related decision making. Bivariate and multivariate regression analyses were performed to identify associations between women empowerment in relation to health seeking behavior on mobility and decision making, controlling the effect of other independent variables. The results showed that only 12% women were empowered to decide on their own about seeking healthcare and 8.5% in healthcare seeking for their children. In multivariate analysis women empowerment in health seeking behavior was higher among age group 25-34 years (OR 1.76, [CI = 0.82-3.21]), women's education, husband's education, age at marriage > 18 years (OR 6.38, [CI = 0.98-4.21]) and women's working status (OR 16.44, [CI = 0.79-2.71]). Women empowerment enhances their decision-making authority regarding health seeking behavior. Acknowledging and adopting the implications of these findings are essential for an integrated health and development strategy for Bangladesh and achieving the MDGs.

Dengue, the mosquito borne disease has become a growing public health threat in Bangladesh due to its gradual increasing morbidity and mortality since 2000. In 2019, the country witnessed the worst ever dengue outbreak. The present study was conducted to characterize the socio-economic factors and knowledge, attitude and practice (KAP) status towards dengue among the people of Bangladesh. A cross-sectional study was conducted with 1,010 randomly selected respondents from nine different administrative regions of Bangladesh between July and November 2019. Although majority (93.8%) of the respondents had heard about dengue, however, they had still misconceptions about Aedes breeding habitat. Around half of the study population (45.7%) had mistaken belief that Aedes can breed in dirty water and 43.1% knew that Aedes mosquito usually bites around sunrise and sunset. Fever indication was found in 36.6% of people which is the most common symptom of dengue. Among the socio-demographic variables, the level of education of the respondents was identified as an independent predictor for both knowledge (p<0.05) and awareness (p<0.05) of dengue. The preventive practice level was moderately less than the knowledge level though there was a significant association (p<0.05) existed between knowledge and preventive practices. Our study noted that TV/Radio is an effective predominant source of information about dengue fever. As dengue is emerging in Bangladesh, there is an urgent need to increase health promotion activities through campaigns for eliminating the misconception and considerable knowledge gaps about dengue.

High blood pressure is a major risk factor for premature death. Leisure-time physical activities have been recommended to control hypertension. Studies examining how leisure-time physical activity affects blood pressure have found mixed results. We aimed to conduct a systematic review examining the effect of leisure-time physical activity (LTPA) on lowering blood pressure among adults living with hypertension. We searched studies in Embase, Medline/PubMed, Web of Science, Physical Education Index, Scopus and CENTRAL (the Cochrane Library). The primary outcome variables were systolic blood pressure (SBP) and diastolic blood pressure (DBP). This systematic review is registered on PROSPERO (CRD42021260751). We included 17 studies out of 12,046 screened articles in this review. Moderate-intensity LTPA (all types) reduced SBP compared to the non-intervention control group (MD −5.35 mm Hg, 95% CI −8.06 to −2.65, nine trials, n = 531, low certainty of the evidence). Mean DBP was reduced by −4.76 mm Hg (95% CI −8.35 to −1.17, nine trials, n = 531, low certainty of the evidence) in all types of LTPA (moderate intensity) group compared to the non-intervention control group. Leisure-time walking reduced mean SBP by −8.36 mmHg, 95% CI −13.39 to −3.32, three trials, n = 128, low certainty of the evidence). Walking during leisure time reduced −5.03 mmHg mean DBP, 95% CI −8.23 to −1.84, three trials, n = 128, low certainty of the evidence). Performing physical activity during free time probably reduces SBP and DBP (low certainty of the evidence) among adults with hypertension.

Smoking is one of the leading causes of premature deaths worldwide. The cigarette is the commonest form of tobacco smoking. This study investigated the factors associated with cigarette smoking among men in five South Asian countries. We analyzed nationally representative cross-sectional study (Demographic and Health Survey) data conducted in Afghanistan, India, Maldives, Nepal, and Pakistan from 2015–2018. Our study population was men aged between 15 and 49 years. The outcome variable was the prevalence of cigarette smoking. We performed both pooled and country-specific analyses using multivariable logistic regression. The prevalence of cigarette smoking among men is the highest (41.2%) in the Maldives and the lowest (20.1%) in Pakistan. Our pooled analysis found that higher age, lower education, lower wealth status, and involvement in any occupations were strongly associated with cigarette smoking ( p -value <0.001). However, we did not find a significant association between age and wealth status in Afghanistan, occupations in Nepal and Pakistan, and education in Pakistan with cigarette smoking when country-specific analyses were performed. In this study, socioeconomic position, age, and urban area are strongly associated with cigarette smoking in South Asian countries. The country-specific circumstances should be considered in planning and designing national smoking control strategies and interventions. However, improving access to smoking cessation services could be an effective intervention for all studied countries, Afghanistan, India, Maldives, Nepal, and Pakistan.

Caesarean delivery (C-section) has been increasing worldwide; however, many women from developing countries in Sub-Saharan Africa are deprived of these lifesaving services. This study aimed to explore the impact of certain socioeconomic factors, including respondent’s education, husband’s education, place of residence, and wealth index, on C-section delivery for women in Sub-Saharan Africa. We used pooled data from 36 demographic and health surveys (DHS) in Sub-Saharan Africa. Married women aged 15–49 years who have at least one child in the last five years were considered in this survey. After inclusion and excluding criteria, 234,660 participants were eligible for final analysis. Binary logistic regression was executed to determine the effects of selected socioeconomic factors. The countries were assembled into four sub-regions (Southern Africa, West Africa, East Africa, and Central Africa), and a meta-analysis was conducted. We performed random-effects model estimation for meta-analysis to assess the overall effects and consistency between covariates and utilization of C-section delivery as substantial heterogeneity was identified (I 2  > 50%). Furthermore, the meta-regression was carried out to explain the additional amount of heterogeneity by country levels. We performed a sensitivity analysis to examine the effects of outliers in this study. Findings suggest that less than 15% of women in many Sub-Saharan African countries had C-section delivery. Maternal education (OR 4.12; CI 3.75, 4.51), wealth index (OR 2.05; CI 1.94, 2.17), paternal education (OR 1.71; CI 1.57, 1.86), and place of residence (OR 1.51; CI 1.44, 1.58) were significantly associated with the utilization of C-section delivery. These results were also consistent in sub-regional meta-analyses. The meta-regression suggests that the total percentage of births attended by skilled health staff (TPBASHS) has a significant inverse association with C-section utilization regarding educational attainment (respondent & husband), place of residence, and wealth index. The data structure was restricted to define the distinction between elective and emergency c-sections. It is essential to provide an appropriate lifesaving mechanism, such as C-section delivery opportunities, through proper facilities for rural, uneducated, impoverished Sub-Saharan African women to minimize both maternal and infant mortality.

COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classification performance on image datasets. To date, it appears that COVID computer-aided diagnosis systems based on CNNs and clinical information have not yet been analysed or explored. We propose a novel method, named the CNN-AE, to predict the survival chance of COVID-19 patients using a CNN trained with clinical information. Notably, the required resources to prepare CT images are expensive and limited compared to those required to collect clinical data, such as blood pressure, liver disease, etc. We evaluated our method using a publicly available clinical dataset that we collected. The dataset properties were carefully analysed to extract important features and compute the correlations of features. A data augmentation procedure based on autoencoders (AEs) was proposed to balance the dataset. The experimental results revealed that the average accuracy of the CNN-AE (96.05%) was higher than that of the CNN (92.49%). To demonstrate the generality of our augmentation method, we trained some existing mortality risk prediction methods on our dataset (with and without data augmentation) and compared their performances. We also evaluated our method using another dataset for further generality verification. To show that clinical data can be used for COVID-19 survival chance prediction, the CNN-AE was compared with multiple pre-trained deep models that were tuned based on CT images.

Antibiotic-free broiler meat production is becoming increasingly popular worldwide due to consumer perception that it is superior to conventional broiler meat. Globally, broiler farming impacts the income generation of low-income households, helping to alleviate poverty and secure food in the countryside and in semi-municipal societies. For decades, antibiotics have been utilized in the poultry industry to prevent and treat diseases and promote growth. This practice contributes to the development of drug-resistant bacteria in livestock, including poultry, and humans through the food chain, posing a global public health threat. Additionally, consumer demand for antibiotic-free broiler meat is increasing. However, there are many challenges that need to be overcome by adopting suitable strategies to produce antibiotic-free broiler meat with regards to food safety and chicken welfare issues. Herein, we focus on the importance and current scenario of antibiotic use, prospects, and challenges in the production of sustainable antibiotic-free broiler meat, emphasizing broiler farming in the context of Bangladesh. Moreover, we also discuss the need for and challenges of antibiotic alternatives and provide a future outlook for antibiotic-free broiler meat production.