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150 result(s) for "Hossain, Moazzem"
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The impact of coronavirus pandemic shutdowns on immunization completion in Hadeetha, Anbar, Iraq: A case-study of vaccine completion in a recovering healthcare system
The SARS-COV2 pandemic caused significant disruptions in immunization delivery. Baseline deficit gaps in immunization completion exacerbated ongoing disparities in immunization coverage in low- and middle-income. Emerging reports focused on global strategies for return to routine immunization schedules. Currently, there are no studies that examined the dual challenge of returning to normal immunization in a conflict-recovery setting, such as the ISIS (Islamic State of Iraq and Syria) occupation of Iraq post-COVID-19 pandemic. The objective of this study was to estimate the number of children in Hadeetha, Iraq from 12 to 24 months of age who continued to be lost to the routine immunization schedule due to the COVID-19 pandemic shutdowns. Random sampling occurred from a compiled district health facility registrar of all children in the target birth cohort who had a 12-month immunization scheduled during the 2020 lockdown and were lost to the immunization schedule. A total of 171 households from the sampling frame were included in the final sample. In this cross-sectional study, survey data was collected on the head of the household, the caregiver and the child. Additional questions assessed vaccine hesitancy, vaccine information trusted sources and COVID-19 impact on healthcare access. A risk factor analysis was applied to assess using Chi-square (Χ2) for predictors of lack of DTP3 (Diphtheria, Tetanus and Polio) third dose completion. Of children in the study, 67.3 % did not complete the 6-antigen series at 12-months of age and 46.2 % were missing DTP3 for vaccines to be completed during the pandemic shutdown. Specific risk factors for lack of immunization for the DTP3 vaccine included area of residence, age and caregiver knowledge of vaccines. Respondents indicated a dependence on mass vaccination campaigns but also indicated a willingness to receive phone reminders and television campaigns about vaccination schedules.
Combining State-of-the-Art Pre-Trained Deep Learning Models: A Noble Approach for Skin Cancer Detection Using Max Voting Ensemble
Skin cancer poses a significant healthcare challenge, requiring precise and prompt diagnosis for effective treatment. While recent advances in deep learning have dramatically improved medical image analysis, including skin cancer classification, ensemble methods offer a pathway for further enhancing diagnostic accuracy. This study introduces a cutting-edge approach employing the Max Voting Ensemble Technique for robust skin cancer classification on ISIC 2018: Task 1-2 dataset. We incorporate a range of cutting-edge, pre-trained deep neural networks, including MobileNetV2, AlexNet, VGG16, ResNet50, DenseNet201, DenseNet121, InceptionV3, ResNet50V2, InceptionResNetV2, and Xception. These models have been extensively trained on skin cancer datasets, achieving individual accuracies ranging from 77.20% to 91.90%. Our method leverages the synergistic capabilities of these models by combining their complementary features to elevate classification performance further. In our approach, input images undergo preprocessing for model compatibility. The ensemble integrates the pre-trained models with their architectures and weights preserved. For each skin lesion image under examination, every model produces a prediction. These are subsequently aggregated using the max voting ensemble technique to yield the final classification, with the majority-voted class serving as the conclusive prediction. Through comprehensive testing on a diverse dataset, our ensemble outperformed individual models, attaining an accuracy of 93.18% and an AUC score of 0.9320, thus demonstrating superior diagnostic reliability and accuracy. We evaluated the effectiveness of our proposed method on the HAM10000 dataset to ensure its generalizability. Our ensemble method delivers a robust, reliable, and effective tool for the classification of skin cancer. By utilizing the power of advanced deep neural networks, we aim to assist healthcare professionals in achieving timely and accurate diagnoses, ultimately reducing mortality rates and enhancing patient outcomes.
Suicidal behaviors among Bangladeshi university students: Prevalence and risk factors
Bangladeshi university students are considered to be highly suicide-prone compared to other populations and cohorts. However, no prior epidemiological studies have assessed the suicidality (i.e., past-year suicidal ideation [SI], lifetime suicide plan [SP], and lifetime suicide attempt [SA]) among Bangladeshi students, including the variables such as past-year stressful life events and family mental health history. This is arguably a major knowledge gap in the country. Therefore, the present study investigated the prevalence and associated risk factors for suicidal behaviors among Bangladeshi university students. A cross-sectional study was conducted utilizing a convenience sampling method among a total of 1844 university students between October and November 2019. Data were collected based on the information related to socio-demographics, perceived health-related questions, past-year stressful life events, family mental health history, and suicidal behaviors (i.e., SI, SP, and SA). Chi-square tests and binary logistic regressions were used to analyze the data utilizing SPSS statistical software. The prevalence of past-year suicidal ideation, lifetime suicide plans, and suicide attempts were 13.4%, 6.0%, and 4.4%, respectively. Females reported significantly higher suicidal behavior than males (i.e., 20.6% vs.10.2% SI; 9% vs. 4.6% SP; and 6.4% vs.3.6% SA). Risk factors for SI were being female, year of academic study, residing in an urban area, using psychoactive substances, experiencing both past year physical and mental illness, experiencing any type of stressful past-year life events, experiencing campus ragging (i.e., senior students abusing, humiliating and/or harassing freshers or more junior students), experiencing family mental illness history, and having family suicide attempt history. SP was associated with several factors including being female, year of academic study, using psychoactive substance, experiencing both past-year physical and mental illness, and experiencing any type of stressful past-year life events. Risk factors for SA were being female, year of academic study, using psychoactive substances, experiencing past-year mental illness, experiencing any type of stressful past-year life events, and having family suicide attempt history. University students appear to be a vulnerable group for experiencing suicidal behaviors. The present findings warrant rigorous action and early intervention programs such as counseling and other mental health professional services by university authorities. Longitudinal studies are highly recommended involving countrywide representative samples.
Resilience of health systems in conflict affected governorates of Iraq, 2014–2018
Objectives The objective of this study was to assess the resilience of health systems in four governorates affected by conflict from 2014 to 2018, and to convey recommendations. Methods Health managers from Al Anbar, Ninawa, Salah al-Din, and Kirkuk governorates discussed resilience factors of Primary Health Care services affected by the 2014–2017 ISIS insurgency in focus groups, and general discussions. Additional information was gathered from key informants and a UNICEF health facility survey. Three specific aspects were examined: (1) meeting health needs in the immediate crisis response, (2) adaptation of services, (3) restructuring and recovery measures. Data from a MoH/UNICEF national health facility survey in 2017 were analyzed for functionality. Results There were many common themes across the four governorates, with local variations. (1) Absorption The shock to the public sector health services by the ISIS invasion caught health services in the four governorates unprepared, with limited abilities to continue to provide services. Private pharmacies and private clinics in some places withstood the initial shock better than the public sector. (2) Adaptation After the initial shock, many health facilities adapted by focusing on urgent needs for injury and communicable disease care. In most locations, maternal, neonatal, and child health (MNCH) preventive and promotive PHC services stopped. Ill persons would sometimes consult health workers in their houses at night for security reasons. (3) Restructuring or transformative activities In most areas, health services recovery was continuing in 2020. Some heavily damaged facilities are still functioning, but below pre-crisis level. Rebuilding lost community trust in the public sector is proving difficult. Conclusion Health services generally had little preparation for and limited resilience to the ISIS influx. Governorates are still restructuring services after the liberation from ISIS in 2017. Disaster planning was identified by all participants as a missing component, as everyone anticipated future similar emergencies.
Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network
The ample amount of information from hyperspectral image (HSI) bands allows the non-destructive detection and recognition of earth objects. However, dimensionality reduction (DR) of hyperspectral images (HSI) is required before classification as the classifier may suffer from the curse of dimensionality. Therefore, dimensionality reduction plays a significant role in HSI data analysis (e.g., effective processing and seamless interpretation). In this article, a sophisticated technique established as t-Distributed Stochastic Neighbor Embedding (tSNE) following the dimension reduction along with a blended CNN was implemented to improve the visualization and characterization of HSI. In the procedure, first, we employed principal component analysis (PCA) to reduce the HSI dimensions and remove non-linear consistency features between the wavelengths to project them to a smaller scale. Then we proposed tSNE to preserve the local and global pixel relationships and check the HSI information visually and experimentally. Lastly, it yielded two-dimensional data, improving the visualization and classification accuracy compared to other standard dimensionality-reduction algorithms. Finally, we employed deep-learning-based CNN to classify the reduced and improved HSI intra- and inter-band relationship-feature vector. The evaluation performance of 95.21% accuracy and 6.2% test loss proved the superiority of the proposed model compared to other state-of-the-art DR reduction algorithms.
Barriers to the hospital treatment among Bede snake charmers in Bangladesh with special reference to venomous snakebite
Snakebite envenoming is a potentially life-threatening global public health issue with Bangladesh having one of the highest rates of snakebite cases. The Bede, a nomadic ethnic group in Bangladesh, traditionally engages in snake-related business such as snake charming. The Bede relies on their own ethnomedicinal practitioners for snakebite treatment while there is a lack of concrete evidence on the effectiveness of such ethnomedicinal treatment. To identify the barriers to the utilization of biomedical treatment for snakebite we conducted interviews with 38 Bede snake charmers, who have experienced snakebite, and six family members of those who died of snakebite. Our results show that four critical barriers, Accessibility, Affordability, Availability, and Acceptability (4As), prevented some of the Bede from seeking biomedical treatment. Moreover, we found that a few Bede died of a snakebite every year. There are survivors of snakebite who were able to receive biomedical treatment by overcoming all of the 4As. Our results provide insights into the current state of snakebite treatment in Bangladesh and can inform the development of more effective and accessible treatment options for those affected. Partnership between the public sector and the Bede community has the potential to make a significant impact in reducing snakebite morbidity and mortality in Bangladesh.
Water, sanitation, hygiene and waste disposal practices as COVID-19 response strategy: insights from Bangladesh
The COVID-19 pandemic has caused a global emergence, and the absence of a proven vaccine or medicine has led to the implementation of measures to prevent and control the spread of the virus. Wearing protective equipment like mask and gloves, washing hands via soap, frequent use of antiseptic solution and maintaining social distance are being applied globally to reduce the transmission rate. Therefore, this study was intended to investigate water, sanitation and hygienic (WASH) behaviour, protective equipment use and their disposal practices among Bangladeshi residents amid the COVID-19 pandemic. Based on the study aims, data were collected mainly via an online survey and analysed through a set of statistical tools including T test, one-way ANOVA and principal component analysis (PCA). This study found that almost 89.80% of the respondents reported to know about the COVID-19 and its preventive measures. WASH status of the respondents is found quite good, where 94.60% stated to have available potable water, 99% have improved toilet facilities, 95% wash their hands via soap, and 79.80% clean their house and toilets by antiseptic solutions properly. Moreover, nearly 94.50% and 54.80% people reported to use face mask and hand gloves, respectively, but the disposal practice of these protective equipment is inappropriate. More than 50% of people reported disposing of their used mask, gloves and tissue with other household wastes, which is alarming for public health and environmental perspective. Moreover, the WASH and waste disposal practices of the marginal people were found very poor and not at a satisfactory level. The results of statistical analysis focused on WASH and waste disposal practices as well as the factors which influence these practices. It is found that gender, occupation, area of residence, and level of education of the participants mainly influence the WASH and waste disposal practices. It is expected that this study exposed the necessity to introduce proper infectious waste management policy and also the increase in awareness level among mass people regarding the preventive measures of COVID-19 infection to combat against disease transmission and environmental pollution.
Evaluation of dedicated COVID-19 hospitals in the pandemic response in Iraq: pandemic preparation within a recovering healthcare infrastructure
The purpose of this study is to evaluate Iraq’s health facility preparedness for the surge of hospitalised cases associated with the ongoing COVID-19 pandemic. In this article, we review pandemic preparedness at both general and tertiary hospitals throughout all districts of Iraq. COVID-19 pandemic preparedness, for the purpose of this review, is defined as: (1) staff to patient ratio, (2) personal protective equipment (PPE) to staff ratio, (3) infection control measures training and compliance and (4) laboratory and surveillance capacity. Despite the designation of facilities as COVID-19 referral hospitals, we did not find any increased preparedness with regard to staffing and PPE allocation. COVID-19 designated hospital reported an increased mean number of respiratory therapists as well as sufficient intensive care unit staff, but this did not reach significant levels. Non-COVID-19 facilities tended to have higher mean numbers of registered nurses, cleaning staff and laboratory staff, whereas the COVID-19 facilities were allocated additional N-95 masks (554.54 vs 147.76), gowns (226.72 vs 104.14) and boot coverings (170.48 vs 86.8) per 10 staff, but none of these differences were statistically significant. Though COVID-19 facilities were able to make increased requisitions for PPE supplies, all facility types reported unfulfilled requisitions, which is more likely a reflection of global storage rather than Iraq’s preparedness for the pandemic. Incorporating future pandemic preparedness into health system strengthening efforts across facilities, including supplies, staffing and training acquisition, retention and training, are critical to Iraq’s future success in mitigating the ongoing impact of the ongoing COVID-19 pandemic.
Nutritional situation among Syrian refugees hosted in Iraq, Jordan, and Lebanon: cross sectional surveys
Background Ongoing armed conflict in Syria has caused large scale displacement. Approximately half of the population of Syria have been displaced including the millions living as refugees in neighboring countries. We sought to assess the health and nutrition of Syrian refugees affected by the conflict. Methods Representative cross-sectional surveys of Syrian refugees were conducted between October 2 and November 30, 2013 in Lebanon, April 12 and May 1, 2014 in Jordan, and May 20 and 31, 2013 in Iraq. Surveys in Lebanon were organized in four geographical regions (North, South, Beirut/Mount Lebanon and Bekaa). In Jordan, independent surveys assessed refugees residing in Za’atri refugee camp and refugees residing among host community nationwide. In Iraq, refugees residing in Domiz refugee camp in the Kurdistan region were assessed. Data collected on children aged 6 to 59 months included anthropometric indicators, morbidity and feeding practices. In Jordan and Lebanon, data collection also included hemoglobin concentration for children and non-pregnant women aged 15 to 49 years, anthropometric indicators for both pregnant and non-pregnant women, and household level indicators such as access to safe water and sanitation. Results The prevalence of global acute malnutrition among children 6 to 59 months of age was less than 5 % in all samples (range 0.3–4.4 %). Prevalence of acute malnutrition among women 15 to 49 years of age, defined as mid-upper arm circumference less than 23.0 cm, was also relatively low in all surveys (range 3.5–6.5 %). For both children and non-pregnant women, anemia prevalence was highest in Za’atri camp in Jordan (48.4 % and 44.8 %, respectively). Most anemia was mild or moderate; prevalence of severe anemia was less than or equal to 1.1 % in all samples of children and women. Conclusions Despite the ongoing conflict, results from all surveys indicate that global acute malnutrition is relatively low in the assessed Syrian refugee populations. However, prevalence of anemia suggests a serious public health problem among women and children, especially in Za’atri camp. Based on these findings, nutrition partners in the region have reprioritized response interventions, focusing on activities to address micronutrient deficiencies such as food fortification.