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1.
Experimental Hematology ; 118:53-64.e1, 2023.
Article in English | EMBASE | ID: covidwho-2210281

ABSTRACT

The manifestation of coronavirus disease 2019 (COVID-19) severity and mortality has been associated with dysregulation of the immune response, often influenced by racial disparities and conferred by changes in hematologic and immunologic parameters. These biological and hematologic parameters as well as cytokine profiles were investigated in a cohort of 61 COVID-19-positive patients (categorized into mild, moderate, and severe groups) from Bangladesh using standard analytical methods. The data reported that the interleukin (IL)-4 and IL-6 levels were significantly increased, whereas the levels of interferon (IFN)-gamma were significantly reduced in patients with severe COVID-19 (p < 0.05) compared with those in patients with mild and/or moderate COVID-19. The extent of erythrocyte sedimentation rate (ESR);neutrophil count;and levels of ferritin, C-reactive protein (CRP), and D-dimer (p < 0.05) were found to be significantly increased, whereas the white blood cell (WBC), lymphocyte, eosinophil, and platelet counts (p < 0.05) were observed to be significantly reduced in patients with severe COVID-19 compared with those in the patients in other 2 groups. Our study exhibited a significantly higher IL-6-to-lymphocyte ratio in patients with severe COVID-19 than in those with mild and moderate COVID-19. The calculated neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and ferritin-to-ESR ratio were significantly increased in patients with severe COVID-19. The increase in the IL-4 and IL-6 levels along with CRP and D-dimer levels may envisage a hyperinflammatory environment and immune dysregulation, which contribute to prolonged viral persistence, leading to severe disease. However, the reduced level of IFN-gamma can be attributed to a less fatality toll in Bangladesh compared with that in the rest of the world. Copyright © 2022 ISEH - Society for Hematology and Stem Cells

2.
Discoveries ; 10(2):e148, 2022.
Article in English | MEDLINE | ID: covidwho-2204054

ABSTRACT

Almost one in every 20 pregnant women self-reports marijuana use during pregnancy. During the COVID-19 pandemic, this number has risen to 1 in 6 pregnant women. Some of the main factors associated with cannabis use during pregnancy and lactation are management of chronic conditions, sensation-seeking, dealing with stress, and other conditions related to pregnancy. The action of cannabis on endocannabinoid receptors might cause poor blastocyst implantation, inhibition of decidualization, compromised placentation, miscarriage and poor embryo development. The children born to mothers who used cannabis during pregnancy manifested higher aggression, anxiety, hyperactivity, and higher levels of the hormone cortisol, compared to children of non-cannabis users. In this review we summarize the effects of cannabis use on fetal development during the COVID-19 pandemic based on the existing published peer-reviewed scientific literature. The COVID-19 pandemic has served as an additional stimulus that has increased cannabis use among pregnant women. Prenatal cannabis use is associated with health risks for the mother and child. Cannabis use in pregnant mothers is associated with low infant birth weight and potential negative neurodevelopmental effects in the offspring. It remains unclear how long these changes will persist in the affected children. It is essential that clinicians educate pregnant women about the harm of prenatal cannabis use, improve strategies to support women at risk, and create new intervention strategies to help them stop using cannabis.

3.
International Journal of Interactive Multimedia and Artificial Intelligence ; 7(7):90-96, 2022.
Article in English | Scopus | ID: covidwho-2203529

ABSTRACT

The term work-life balance can be described as a path to manage stresses and burnouts in the workplace. In this Covid-19 pandemic, work-from-home practice includes both personal and professional spaces as employees, more often, stay digitally connected. As a result, personal life hardly can be separated, which will potentially create imbalanced life, which creates problems regarding physical and mental health of the employees. In such unprecedented situations, we are required to maintain and/or integrate balanced work-life. A balanced work-life gives employees a stress-free environment to work and improves employees' mental and physical health conditions and relationships. In this study, we focus on maintaining a proper work-life balance through a monitoring tool, the ‘Wheel of Life.' Considering the drastic changes in work culture (due to Covid-19, for example), we introduce an interactive interface based on ‘Wheel of life' concept. Our interface helps tune various important factors, such as business, creative, social, love and life purpose, and provides multiple recommendations. The purpose of the study is to assist web users to balance their work-life, improve psychological well-being and quality of life in this unforeseen situation. © 2022, Universidad Internacional de la Rioja. All rights reserved.

4.
Dis Model Mech ; 15(12), 2022.
Article in English | PubMed Central | ID: covidwho-2196731

ABSTRACT

Brain diseases are a major cause of death and disability worldwide and contribute significantly to years of potential life lost. Although there have been considerable advances in biological mechanisms associated with brain disorders as well as drug discovery paradigms in recent years, these have not been sufficiently translated into effective treatments. This Special Article expands on Keystone Symposia's pre- and post-pandemic panel discussions on translational neuroscience research. In the article, we discuss how lessons learned from the COVID-19 pandemic can catalyze critical progress in translational research, with efficient collaboration bridging the gap between basic discovery and clinical application. To achieve this, we must place patients at the center of the research paradigm. Furthermore, we need commitment from all collaborators to jointly mitigate the risk associated with the research process. This will require support from investors, the public sector and pharmaceutical companies to translate disease mechanisms into world-class drugs. We also discuss the role of scientific publishing in supporting these models of open innovation. Open science journals can now function as hubs to accelerate progress from discovery to treatments, in neuroscience in particular, making this process less tortuous by bringing scientists together and enabling them to exchange data, tools and knowledge effectively. As stakeholders from a broad range of scientific professions, we feel an urgency to advance brain disease therapies and encourage readers to work together in tackling this challenge.

5.
BMC Public Health ; 23(1):22, 2023.
Article in English | MEDLINE | ID: covidwho-2196197

ABSTRACT

INTRODUCTION: Lockdown restrictions due to the COVID-19 pandemic have reduced the number of injuries recorded. However, little is known about the impact of easing COVID-19 lockdown restrictions on the nature and outcome of injuries. This study aims to compare injury patterns prior to and after the easing of COVID-19 lockdown restrictions in Saudi Arabia.

6.
Medical Mycology ; 60(Supplement 1):234-235, 2022.
Article in English | EMBASE | ID: covidwho-2189372

ABSTRACT

Objectives: Mucormycosis is an aggressive, life-threatening infection caused by fungi in the order Mucorales. There was an explosion of new cases of rhino-sino-orbital mucormycosis following the COVID pandemic in India, and the need for easy and rapid diagnostics was felt. The current diagnosis of mucormycosis relies on mycological cultures, radiology, and histopathology. These methods lack sensitivity and are most definitive later in the course of infection, resulting in the failure of timely intervention. A real-time multiplex PCR platform is commercially available for the detection of Rhizopus spp., Mucor spp.Rhizomucor spp., Lichtheimia spp., and Cunninghamella spp. (PN-700, MucorGenius , PathoNostics , Maastricht, The Netherlands) This real-time PCR has been validated to identify these fungal pathogens from bronchoalveolar lavage, tissue, and serum samples. This study aimed to validate this PCR-based system to detect Mucorales from nasal swab samples and evaluate its utility in the detection of Mucorales from nasal cavities of high-risk patients developing signs and symptoms of mucormycosis. Method(s): A single-center cross-sectional observational study was conducted on 50 hospitalized adult patients with signs and symptoms of mucormycosis. Nasal swabs were taken for PCR analysis once there was a clinical suspicion and were com-pared with the results of the gold standard.The gold standard for the diagnosis of mucormycosis was the conventional method (KOHmountedmicroscopy/HPE).Demographicdetails andrisk factorsfor thesepatients wererecorded, andthe RTPCR-based test was run on the nasal swab samples of all these 50 patients. The workflow is depicted graphically in Fig. 1 (Created with BioRender.com). Result(s): The study population mean (SD) age was 50 (16) years and consisted of 32 (64%) males. A total of 39 (78%) patients were known cases of diabetes mellitus, 48 (96%) patients had amphotericin B intake, and 20 (40%) had posaconazole intake. In all, 21 (42%) patients had a past history of COVID-19 infection;14 patients had received steroids and 10 patients received oxygen support. PCR for Mucorales was positive in 15 (30%) patients while the KOH mount was positive in 4 (8%) patients. Conclusion(s): These results are not encouraging for the use of nasal swabs as the sample for diagnosis of mucormyco-sis. Though the PCR performed better on the swab samples than KOH preparation and culture techniques, it highlights the importance of using standard sampling methods.

7.
Journal of Interdisciplinary Mathematics ; 25(7):1951-1959, 2022.
Article in English | Web of Science | ID: covidwho-2187214

ABSTRACT

The educational sector of Bangladesh is severely affected due to the sudden outbreak of novel Corona virus (COVID-19). Bangladesh which is one of the densely populated countries has a significant improvement in the education sector along with the others in last some decades but this pandemic has played a serious setback to almost all the sectors of this small country. As all the educational institutes of Bangladesh are closed since 17th March 2020 till 30th June 14, 2021 and this may lead to many detrimental effects. To measure these, a survey was conducted and collected data was analyzed by SPSS Statistics v 25.0. This paper highlighted the mental stress, socio-economic crisis of the students that badly affected their education. It is observed in this study that around 80% of the students are going through mental stress particularly for internet facilities and financial crisis in pandemic period.

8.
13th International Conference on Language Resources and Evaluation Conference, LREC 2022 ; : 3220-3230, 2022.
Article in English | Scopus | ID: covidwho-2169176

ABSTRACT

The emergence of the COVID-19 pandemic and the first global infodemic have changed our lives in many different ways. We relied on social media to get the latest information about COVID-19 pandemic and at the same time to disseminate information. The content in social media consisted not only health related advise, plans, and informative news from policymakers, but also contains conspiracies and rumors. It became important to identify such information as soon as they are posted to make an actionable decision (e.g., debunking rumors, or taking certain measures for traveling). To address this challenge, we developed and publicly released the first largest manually annotated Arabic tweet dataset, ArCovidVac, for the COVID-19 vaccination campaign, covering many countries in the Arab region. The dataset is enriched with different layers of annotation, including, (i) Informativeness (more vs. less important tweets);(ii) fine-grained tweet content types (e.g., advice, rumors, restriction, authenticate news/information);and (iii) stance towards vaccination (pro-vaccination, neutral, anti-vaccination). Further, we performed in-depth analysis of the data, exploring the popularity of different vaccines, trending hashtags, topics and presence of offensiveness in the tweets. We studied the data for individual types of tweets and temporal changes in stance towards vaccine. We benchmarked the ArCovidVac dataset using transformer models for informativeness, content types, and stance detection. © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

9.
Mymensingh Medical Journal: MMJ ; 32(1):185-192, 2023.
Article in English | MEDLINE | ID: covidwho-2168474

ABSTRACT

As of August 15, 2020, Bangladesh lost 3591 lives since the first Coronavirus disease 2019 (COVID-19) case announced on March 8. The objective of the study was to report the clinical manifestation of both symptomatic and asymptomatic COVID-19-positive patients. An online-based cross-sectional survey was conducted for initial recruitment of participants with subsequent telephone interview by the three trained physicians in 237 adults with confirmed COVID-19 infection in Bangladesh. The study period was 27 April to 26th May 2020. Consent was ensured before commencing the interview. Collected data were entered in a pre-designed case record form and subsequently analyzed by SPSS 20.0. The mean+/-SD age at presentation was 41.59+/-13.73 years and most of the cases were male (73.0%). A total of 90.29% of patients reside in urban areas. Among the positive cases, 13.1% (n=31) were asymptomatic. Asymptomatic cases were significantly more common in households with 2 to 4 members (p=0.008). Both symptomatic and asymptomatic patients shared similar ages of presentation (p=0.23), gender differences (p=0.30) and co-morbidities (p=0.11). Only 5.3% of patients received ICU care during their treatment. The most frequent presentation was fever (88.3%), followed by cough (69.9%), chest pain (34.5%), body ache (31.1%), and sore throat (30.1%). Thirty-nine percent (n=92) of the patients had co-morbidities, with diabetes and hypertension being the most frequently observed. There has been an upsurge in COVID-19 cases in Bangladesh. Patients were mostly middle-aged and male. Typical presentations were fever and cough. Maintenance of social distancing and increased testing are required to meet the current public health challenge.

10.
PLoS Pathogens ; 18(12):e1010994, 2022.
Article in English | MEDLINE | ID: covidwho-2162605

ABSTRACT

The emergence of new variants of SARS-CoV-2 necessitates unremitting efforts to discover novel therapeutic monoclonal antibodies (mAbs). Here, we report an extremely potent mAb named P4A2 that can neutralize all the circulating variants of concern (VOCs) with high efficiency, including the highly transmissible Omicron. The crystal structure of the P4A2 Fab:RBD complex revealed that the residues of the RBD that interact with P4A2 are a part of the ACE2-receptor-binding motif and are not mutated in any of the VOCs. The pan coronavirus pseudotyped neutralization assay confirmed that the P4A2 mAb is specific for SARS-CoV-2 and its VOCs. Passive administration of P4A2 to K18-hACE2 transgenic mice conferred protection, both prophylactically and therapeutically, against challenge with VOCs. Overall, our data shows that, the P4A2 mAb has immense therapeutic potential to neutralize the current circulating VOCs. Due to the overlap between the P4A2 epitope and ACE2 binding site on Spike-RBD, P4A2 may also be highly effective against a number of future variants.

11.
BMJ Open Ophthalmology ; 7(1) (no pagination), 2022.
Article in English | EMBASE | ID: covidwho-2137803

ABSTRACT

Background During the COVID-19 pandemic, online education and entertainment have increased significantly due to strict isolation and frequent lockdowns. This study intended to explore the prevalence and potential factors associated with computer vision syndrome (CVS) among the postsecondary students of Bangladesh pursuing online education. Methods In total, there were 917 postsecondary students participated in this study. Information on sociodemographic variables, and CVS symptom-related variables were collected using a prevalidated self-administered questionnaire. The CVS questionnaire was used to assess an individual's CVS status. The bivariate association between CVS and other categorical variables was obtained using a chi 2 test. A multivariable logistic regression model was used to explore variables associated with the CVS. Results The overall prevalence of CVS was 68.16%. Most common symptoms were headache (42.4%), feeling of worsening eyesight (23.2%), and eye pain (23.2%). CVS was associated with educational status (p=0.03), family history of eye-related problems (p<0.001), personal history of eye-related problems (p<0.001), usage of eye accessories (p<0.001), type of device used for online education (p<0.01), average daily use (p<0.01), and usage pattern (p=0.02). After adjusting for confounders, CVS was significantly related to the use of mobile or tablet (adjusted OR, AOR 8.954, 95% CI 1.57 to 51.063), continuing online education for more than 12 hours/day without any break or insufficient break (AOR 7.654, 95% CI 1.625 to 36.053), and previous family (AOR 3.189, 95% CI 1.751 to 5.811) or personal history of eye problems or headaches, or insomnia (AOR 6.214, 95% CI 2.783 to 13.878). Conclusion A high prevalence of CVS was observed among the post-secondary students in Bangladesh. Since an extensive use of digital screens is somewhat unavoidable during unprecedented times, such as COVID-19, educators should include CVS awareness and prevention in their curricula. Copyright © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

12.
BMJ Innovations ; 8(4):247-254, 2022.
Article in English | EMBASE | ID: covidwho-2137664

ABSTRACT

Introduction The delay in seeking emergency obstetric care leads to significant maternal morbidity and mortality and can worsen during pandemics, especially in humanitarian conflict settings with low uptake of obstetric services. To mitigate the challenges related to the second delay caused by lack of transport in the COVID-19 pandemic, the organisation United Nations Population Fund implements a community-based referral project called Referral Hub in the Rohingya refugee population in Bangladesh. The objective of the paper is to describe the implementation process of the Referral hub and present clients' utilisation and perception of the service. Methods Findings from part of a larger mixed-method study, the analysis of the standard operating protocol of the intervention, secondary data of routine utilisation of the 12 referral hubs between January and August 2020, 21 key informant interviews and a community survey among 100 pregnant women are presented in this paper. Results The findings show an increasing trend in the referral hub utilisation and a strong recommendation of the service. Conclusion Due to a robust referral mechanism by collaborating with the community and engaging accessible and free of cost transport service, the intervention has high potential to improve access to facility care in low-resource and humanitarian contexts, especially during pandemics. Copyright ©

13.
2022 International Joint Conference on Neural Networks, IJCNN 2022 ; 2022-July, 2022.
Article in English | Scopus | ID: covidwho-2097615

ABSTRACT

The worldwide breakout of the novel COVID-19 has resulted in one of the worst epidemics in modern times since World War II. Although various vaccinations are being produced, their efficacy remains a considerable hurdle. This is especially true when new virus strains emerge. The main challenge to combating this pandemic is diagnosing and isolating COVID-19 positive cases as early as possible. As a result, COVID-19 needs to be detected early and accurately to prevent its spread. This paper proposes a computer-aided automated COVID-19 detection tool based on Computed Tomography (CT-scan) images of lungs. The proposed approach applies an ensemble technique based on Sugeno Fuzzy Integrals with convolutional neural networks (CNNs) as the base model. The lack of COVID-19 data makes it challenging to train a standard CNN from scratch, so we use a transfer learning approach instead of training the base classifiers, VGG-16, InceptionResnetV2, and Xception. We apply the gained knowledge in the target domain of small CT-scan data, considering ImageNet dataset as the source domain. We have also adapted image pre-processing techniques to remove noises so that the model can only focus on specific features. Our proposed framework achieves 98.99% accuracy on a publicly available dataset and outperforms the existing state-of-the-art methods. Experimental results and comparative analysis with baselines establish the need and effectiveness of our proposed model. © 2022 IEEE.

14.
2021 International Conference on Advances in Multi-Disciplinary Sciences and Engineering Research, ICAMSER 2021 ; 2451, 2022.
Article in English | Scopus | ID: covidwho-2096913

ABSTRACT

In this particular manuscript, an intensive study is done to synthesize the students’ perspective regarding transition from traditional to online teaching and learning mode for four different engineering subjects during the COVID-19 pandemic. A sudden switch was unexpected for the students and it deeply affected their epistemological beliefs, anticipations, assessment techniques and pedagogy of learning the subject. A sudden reliance on technology had its own responses and time management skills needed to be transformed. Since Engineering is practical oriented course and requires a lots of hand on practice, the students were skeptical to this change. An Online Teaching Survey was administered to the students and statistical tools were used to analyze student perceptions. Heterogeneous responses favoring traditional, hybrid and online mode were witnessed, although the emphasis was for traditional mode for the engineering subjects under study. This led to the amiable suggestion that the teaching mode is subject specific and this study would help us to support our teaching with the appropriate mode. © 2022 American Institute of Physics Inc.. All rights reserved.

15.
India Migration Report 2021: Migrants and Health ; : 223-245, 2022.
Article in English | Scopus | ID: covidwho-2066984

ABSTRACT

This chapter discusses some of the important issues of migrant population in the context of COVID-19 pandemic. Most of the unskilled/semi-skilled workers earn subsistence levels of wages, and no social protection is available. Central and state governments and society did not take any concrete measures to address their concerns related to livelihood and health, especially during the nationwide lockdown and phased unlocking period. This qualitative study was conducted to understand the impact of COVID-19 pandemic on their lives and livelihood. We also explored the common vulnerabilities that migrants faced across the states and the type of assistance they received from various stakeholders. Health care and health-seeking behaviour during COVID times were other important areas that we focused upon. © 2022 selection and editorial matter, S. Irudaya Rajan;individual chapters, the contributors.

16.
Handbook of Energy and Environmental Security ; : 207-229, 2022.
Article in English | Scopus | ID: covidwho-2048743

ABSTRACT

The COVID-19 outbreak has made us realize how important human experiences within built environments are to retain or enhance our physical and mental health and well-being. The environmental quality of physical spaces occupied by humans depends on personal judgments made through the spatial experiences that reflect their individual needs, desires, and expectations. Such spatial or environmental experiences influential in human activities and outcomes should be researched much further to sustain or improve the soundness of our society and economy under any circumstances of people's lives. The pandemic that first emerged in December 2019 had also been slowing down human activities over the following months. It unexpectedly contributed to reducing anthropogenic CO2 emissions that lead to global warming. According to the International Energy Agency, buildings account for 40% of global operational energy use. Built environments need to be delivered in a way that helps reduce or eliminate energy consumption, which negatively affects climate change. The built environment encompasses a system of energy and environment being occupied by the masses. To accommodate diverse needs and demands of individuals and societies, it needs to be customized or personalized. In parallel to studies on technological advancement, human-centric environmental experiences should be researched much further to ensure the delivery of socially, economically, environmentally, and humanly sustainable built environments that can be applied to privileged and unprivileged families, communities, and nations that are sharing our common future. In view of the global economic prospect, as well as the authors' expertise, this chapter selected China and Bangladesh as case studies to begin considering the emerging notion of environmental experience design and the research spectrum that impacts on the energy outlook and human well-being within built environments. © 2022 Elsevier Inc. All rights reserved.

17.
Med Mycol ; 60(Suppl 1), 2022.
Article in English | PMC | ID: covidwho-2042624

ABSTRACT

 : Poster session 3, September 23, 2022, 12:30 PM - 1:30 PM Objectives: Mucormycosis is an aggressive, life-threatening infection caused by fungi in the order Mucorales. There was an explosion of new cases of rhino-sino-orbital mucormycosis following the COVID pandemic in India, and the need for easy and rapid diagnostics was felt. The current diagnosis of mucormycosis relies on mycological cultures, radiology, and histopathology. These methods lack sensitivity and are most definitive later in the course of infection, resulting in the failure of timely intervention.A real-time multiplex PCR platform is commercially available for the detection of Rhizopus spp., Mucor spp. Rhizomucor spp., Lichtheimia spp., and Cunninghamella spp. (PN-700, MucorGenius®, PathoNostics®, Maastricht, The Netherlands) This real-time PCR has been validated to identify these fungal pathogens from bronchoalveolar lavage, tissue, and serum samples. This study aimed to validate this PCR-based system to detect Mucorales from nasal swab samples and evaluate its utility in the detection of Mucorales from nasal cavities of high-risk patients developing signs and symptoms of mucormycosis. Methods: A single-center cross-sectional observational study was conducted on 50 hospitalized adult patients with signs and symptoms of mucormycosis. Nasal swabs were taken for PCR analysis once there was a clinical suspicion and were compared with the results of the gold standard. The gold standard for the diagnosis of mucormycosis was the conventional method (KOH mounted microscopy/HPE). Demographic details and risk factors for these patients were recorded, and the RTPCR-based test was run on the nasal swab samples of all these 50 patients. The workflow is depicted graphically in Fig. 1 (Created with BioRender.com). Results: The study population mean (SD) age was 50 (16) years and consisted of 32 (64%) males. A total of 39 (78%) patients were known cases of diabetes mellitus, 48 (96%) patients had amphotericin B intake, and 20 (40%) had posaconazole intake. In all, 21 (42%) patients had a past history of COVID-19 infection;14 patients had received steroids and 10 patients received oxygen support. PCR for Mucorales was positive in 15 (30%) patients while the KOH mount was positive in 4 (8%) patients. Conclusion: These results are not encouraging for the use of nasal swabs as the sample for diagnosis of mucormycosis. Though the PCR performed better on the swab samples than KOH preparation and culture techniques, it highlights the importance of using standard sampling methods.

18.
Asia Pacific Journal of Health Management ; 16(4):89-95, 2021.
Article in English | Web of Science | ID: covidwho-2011623

ABSTRACT

PURPOSE: The purpose of this study is to present a better understanding of the specialized telehealth service in Bangladesh from the service provider and service recipients by aged people METHOD: Both quantitative and qualitative methods were used to collect data from Diabetes Mellitus (DM) patients. Data were collected by online telephone interviewing with an interview schedule. A total of 100 aged people with diabetes were selected purposively for a quantitative interview and 10 In-depth Interviews (IDIs) & Key Informant Interviews (KIIs) were conducted. RESULT: The majority of patients aged was between 61 to 68 years with a mean age of 63.6 +/- 7.01years. The difference of age of DM patients by sex was found statistically significant (x2 = 39.49, df = 31;Cramer's V = .032;P=<.003). The main source of information about digital health was: relatives (55%), neighbors (31%), television (12%), newspaper (10%), social media (9%), and healthcare providers (6%). Strong relationship was found between age of respondents and sources of information (x2= 77.08;Cramer's V= .032, df = 13;Sig;P= < .009). About 59% of DM patients were benefited from telehealth services during COVID-19, however;they encountered some difficulties like effective access to digital technology, cost, and diagnosis facilities. About 83% of respondents suggest formalizing community engagement programs to extend the digital health services during a health emergency. The common barriers to the engagement of community people in digital health care are lack of social awareness, lack of peer group support, and gender disparities. Poor counseling, language barrier, bad internet signal, and lack of family members' support were the key barriers during teleconsultation services. CONCLUSION: Telehealth has the potential to address critical health issues of aged people and effective community engagement may be the best option to reach older people with diabetes in Bangladesh during any health emergency.

19.
Cureus ; 14(6):e26428, 2022.
Article in English | MEDLINE | ID: covidwho-1975348

ABSTRACT

In this study, we present a unique instance of a patient who developed hemophagocytic lymphohistiocytosis secondary to a triple infection with coronavirus disease 2019 (COVID-19), HIV, and histoplasmosis. We emphasize the proinflammatory dysregulations driving the severity of COVID-19 infection in this setting and highlight the importance of early diagnosis and targeted therapy of underlying conditions as a method to increase the chance of survival.

20.
4th International Conference on Computational Intelligence, Communications and Business Analytics, CICBA 2022 ; 1579 CCIS:298-310, 2022.
Article in English | Scopus | ID: covidwho-1971565

ABSTRACT

Health monitoring by government in rural and Urban areas become very much challenging task as they require huge amount of technicians, doctors and funds to complete. In the time of COVID-19 pandemic, it is difficult to allow doctors to visit rural areas for monitoring the health of public, rather than allocate their duties in COVID-19 hospitals to save critical patients. But, it is also necessary to monitor health of public to vaccinate them priority wise in the scarcity of COVID-19 vaccines. In this paper we have proposed a novel UAV (Unmanned Aerial Vehicle) assisted health monitoring system which can be operated in any remote location to get required data about the health condition of the people. After collecting the desired data from the user, system saves them in memory. In the control room, UAV uploads the collected data to the server for analysis. From the analysed data the system can decide whom need to be vaccinated immediately. UAV system will analyse the data with respect to different parameters like age, co-morbidity, blood pressure and other attributes. From this analysed data using machine learning algorithm, system also predicts how many days might be taken to complete the whole vaccination process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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