Glucagon-like-peptide-1 receptor agonists and the management of type 2 diabetes-backwards and forwards.

This editorial is stimulated by the article by Alqifari et al published in the World Journal of Diabetes (2024). Alqifari et al focus on practical advice for the clinical use of glucagon-like-peptide-1 (GLP-1) receptor agonists (GLP-1RAs) in the management of type 2 diabetes and this editorial provides complementary information. We initially give a brief historical perspective of the development of GLP-1RAs stimulated by recognition of the 'incretin effect', the substantially greater insulin increase to enteral when compared to euglycaemic intravenous glucose, and the identification of the incretin hormones, GIP and GLP-1. In addition to stimulating insulin, GLP-1 reduces postprandial glucose levels by slowing gastric emptying. GLP-1RAs were developed because native GLP-1 has a very short plasma half-life. The majority of current GLP-1RAs are administered by subcutaneous injection once a week. They are potent in glucose lowering without leading to hypoglycaemia, stimulate weight loss in obese individuals and lead to cardiovascular and renal protection. The landscape in relation to GLP-1RAs is broadening rapidly, with different formulations and their combination with other peptides to facilitate both glucose lowering and weight loss. There is a need for more information relating to the effects of GLP-1RAs to induce gastrointestinal symptoms and slow gastric emptying which is likely to allow their use to become more effective and personalised.

Synthesis,Antidiabetic and Antitubercular Evaluation of Quinoline-pyrazolopyrimidine hybrids and Quinoline-4-Arylamines.

Two libraries of quinoline-based hybrids 1-(7-chloroquinolin-4-yl)-1H-pyrazolo[3,4-d]pyrimidin-4-amine and 7-chloro-N-phenylquinolin-4-amine were synthesized and evaluated for their α-glucosidase inhibitory and antioxidant properties. Compounds with 4-methylpiperidine and para-trifluoromethoxy groups, respectively, showed the most promising α-glucosidase inhibition activity with IC50 =46.70 and 40.84 µM, compared to the reference inhibitor, acarbose (IC50 =51.73 µM). Structure-activity relationship analysis suggested that the cyclic secondary amine pendants and para-phenyl substituents account for the variable enzyme inhibition. Antioxidant profiling further revealed that compounds with an N-methylpiperazine and N-ethylpiperazine ring, respectively, have good DPPH scavenging abilities with IC50 =0.18, 0.58 and 0.93 mM, as compared to ascorbic acid (IC50 =0.05 mM), while the best DPPH scavenger is NO2 -substituted compound (IC50 =0.08 mM). Also, compound with N-(2-hydroxyethyl)piperazine moiety emerged as the best NO radical scavenger with IC50 =0.28 mM. Molecular docking studies showed that the present compounds are orthosteric inhibitors with their quinoline, pyrimidine, and 4-amino units as crucial pharmacophores furnishing α-glucosidase binding at the catalytic site. Taken together, these compounds exhibit dual potentials; i. e., potent α-glucosidase inhibitors and excellent free radical scavengers. Hence, they may serve as structural templates in the search for agents to manage Type 2 diabetes mellitus. Finally, in preliminary assays investigating the anti-tubercular potential of these compounds, two pyrazolopyrimidine series compounds and a 7-chloro-N-phenylquinolin-4-amine hybrid showed sub-10 µM whole-cell activities against Mycobacterium tuberculosis.

Almond supplementation on appetite measures, body weight, and body composition in adults: A systematic review and dose-response meta-analysis of 37 randomized controlled trials.

BACKGROUND AND OBJECTIVE: Almond consumption has an inverse relationship with obesity and factors related to metabolic syndrome. However, the results of available clinical trials are inconsistent. Therefore, we analyzed the results of 37 randomized controlled trials (RCTs) and evaluated the association of almond consumption with subjective appetite scores and body compositions. METHODS: Net changes in bodyweight, body mass index (BMI), waist circumference (WC), fat mass (FM), body fat percent, fat-free mass (FFM), waist-to-hip ratio (WHR), visceral adipose tissue (VAT), and subjective appetite scores were used to calculate the effect size, which was reported as a weighted mean differences (WMD) and 95% confidence interval (CI). RESULTS: This meta-analysis was performed on 37 RCTs with 43 treatment arms. The certainty in the evidence was very low for appetite indices, body fat percent, FFM, VAT, and WHR, and moderate for other parameters as assessed by the GRADE evidence profiles. Pooled effect sizes indicated a significant reducing effect of almond consumption on body weight (WMD: -0.45 kg, 95% CI: -0.85, -0.05, p = 0.026), WC (WMD: -0.66 cm, 95% CI: -1.27, -0.04, p = 0.037), FM (WMD: -0.66 kg, 95% CI: -1.16, -0.17, p = 0.009), and hunger score (WMD: -1.15 mm, 95% CI: -1.98, -0.32, p = 0.006) compared with the control group. However, almond did not have a significant effect on BMI (WMD: -0.20 kg m-2, 95% CI: -0.46, 0.05, p = 0.122), body fat percent (WMD: -0.39%, 95% CI: -0.93, 0.14, p = 0.154), FFM (WMD: -0.06, 95% CI: -0.47, 0.34, p = 0.748), WHR (WMD: -0.04, 95% CI: -0.12, 0.02, p = 0.203), VAT (WMD: -0.33 cm, 95% CI: -0.99, 0.32), fullness (WMD: 0.46 mm, 95% CI: -0.95, 1.88), desire to eat (WMD: 0.98 mm, 95% CI: -4.13, 2.23), and prospective food consumption (WMD: 1.08 mm, 95% CI: -2.11, 4.28). Subgroup analyses indicated that consumption of ≥50 g almonds per day resulted in a significant and more favorable improvement in bodyweight, WC, FM, and hunger score. Body weight, WC, FM, body fat percent, and hunger scores were decreased significantly in the trials that lasted for ≥12 weeks and in the subjects with a BMI < 30 kg/m2. Furthermore, a significant reduction in body weight and WC was observed in those trials that used a nut-free diet as a control group, but not in those using snacks and other nuts. The results of our analysis suggest that almond consumption may significantly improve body composition indices and hunger scores when consumed at a dose of ≥50 g/day for ≥12 weeks by individuals with a BMI < 30 kg/m2. CONCLUSION: However, further well-constructed randomized clinical trials are needed in order ascertain the outcome of our analysis.

Finite element-based optimization procedure for an irregular domain with unstructured mesh.

At present, structural optimization is a highly demanding area of research in engineering. Engineers aim to minimize material in a body while maintaining its usability and safety at the same time. Developing a user-friendly program to optimize a structure using the finite element method (FEM) is the goal of the current study. With the advent of additive manufacturing, the production of complex-shaped designs is showing promise. A detailed optimization algorithm based on solid isotropic material with penalization (SIMP) is presented in this paper. UnTop2D: An object-oriented Python program with a graphical user interface (GUI) has been developed, which can be applied to structures with both structured and unstructured meshes. The mesh is not required to be topologically ball and can be imported from professional meshing software. Any selected element can be frozen to prevent its removal during optimization, and wall elements can also be frozen for real-world scenarios. The optimized structure can be exported as an Abaqus input file for structural analysis and STL file for 3D printing. This paper presents several examples to demonstrate the effectiveness of the proposed procedure.

Factors contributing to the variation in antibiotic prescribing among primary health care physicians: a systematic review.

BACKGROUND: Antibiotic resistance is growing globally. The practice of health professionals when prescribing antibiotics in primary health care settings significantly impacts antibiotic resistance. Antibiotic prescription is a complex process influenced by various internal and external factors. This systematic review aims to summarize the available evidence regarding factors contributing to the variation in antibiotic prescribing among physicians in primary healthcare settings. METHODS: This systematic review was conducted based on PRISMA guidelines. We included qualitative, quantitative and mixed methods studies that examined factors influencing prescription practice and variability among primary healthcare physicians. We excluded editorials, opinions, systematic reviews and studies published in languages other than English. We searched studies from electronic databases: PubMed, ProQuest Health and Medicine, Web Science, and Scopus. The quality of the included studies was appraised using the Mixed Methods Appraisal Tool (Version 2018). Narrative synthesis was employed to synthesize the result and incorporate quantitative studies. RESULTS: Of the 1816 identified studies, 49 studies spanning 2000-2023 were eligible for review. The factors influencing antibiotic prescription practice and variability were grouped into physician-related, patient-related, and healthcare system-related factors. Clinical guidelines, previous patient experience, physician experience, colleagues' prescribing practice, pharmaceutical pressure, time pressure, and financial considerations were found to be influencing factors of antibiotic prescribing practice. In addition, individual practice patterns, practice volume, and relationship with patients were also other factors for the variability of antibiotic prescription, especially for intra-physician prescription variability. CONCLUSION: Antibiotic prescription practice in primary health care is a complex practice, influenced by a combination of different factors and this may account for the variation. To address the factors that influence the variability of antibiotic prescription (intra- and inter-physician), interventions should aim to reduce diagnostic uncertainty and provide continuous medical education and training to promote patient-centred care.

Comparative metagenomics and microbial dynamics of jute retting environment.

Jute, eco-friendly natural fiber, depends on conventional water-based microbial retting process that suffers from the production of low-quality fiber, restricting its diversified applications. The efficiency of water retting of jute depends on plant polysaccharide fermenting pectinolytic microorganisms. Understanding the phase difference in retting microbial community composition is crucial to provide knowledge on the functions of each member of microbiota for the improvement of retting and fiber quality. The retting microbiota profiling of jute was commonly performed previously using only one retting phase with culture-dependent methods which has limited coverage and accuracy. Here, for the first we have analyzed jute retting water through WGS metagenome approach in three phases (pre-retting, aerobic retting, and anaerobic retting phases) and characterized the microbial communities both culturable and non-culturable along with their dynamics with the fluctuation of oxygen availability. Our analysis revealed a total of 25.99 × 104 unknown proteins (13.75%), 16.18 × 105 annotated proteins (86.08%), and 32.68 × 102 ribosomal RNA (0.17%) in the pre-retting phase, 15.12 × 104 unknown proteins (8.53%), 16.18 × 105 annotated proteins (91.25%), and 38.62 × 102 ribosomal RNA (0.22%) in the aerobic retting phase, and 22.68 × 102 ribosomal RNA and 80.14 × 104 (99.72%) annotated protein in the anaerobic retting phase. Taxonomically, we identified 53 different phylotypes in the retting environment, with Proteobacteria being the dominant taxa comprising over 60% of the population. We have identified 915 genera from Archaea, Viruses, Bacteria, and Eukaryota in the retting habitat, with anaerobic or facultative anaerobic pectinolytic microflora being enriched in the anoxic, nutrient-rich retting niche, such as Aeromonas (7%), Bacteroides (3%), Clostridium (6%), Desulfovibrio (4%), Acinetobacter (4%), Enterobacter (1%), Prevotella (2%), Acidovorax (3%), Bacillus (1%), Burkholderia (1%), Dechloromonas (2%), Caulobacter (1%) and Pseudomonas (7%). We observed an increase in the expression of 30 different KO functional level 3 pathways in the final retting stage compared to the middle and pre-retting stages. The main functional differences among the retting phases were found to be related to nutrient absorption and bacterial colonization. These findings reveal the bacterial groups that are involved in fiber retting different phases and will facilitate to develop future phase-specific microbial consortia for the improvement of jute retting process.

Capturing Acidic CO2 Using Surface-Active Difunctional Core-Shell Composite Polymer Particles via an Aqueous Medium.

Multifunctional surface-active polymeric composites are attractive materials for the adsorption of various small molecules. Herein, dual-functionalized micron-sized surface-active composite polymer particles were prepared by a three-step process for CO2 adsorption. First, polystyrene (PS) seed particles were prepared via the dispersion polymerization of styrene. PS/P(MMA-AAm-EGDMA) composite polymer particles were then synthesized by aqueous seeded copolymerization of methyl methacrylate (MMA) and acrylamide (AAm) in the presence of an ethylene glycol dimethacrylate (EGDMA) cross-linker. Finally, the amide moieties of PS/P(MMA-AAm-EGDMA) composite particles were converted into an amine-functionalized composite by using the Hofmann degradation reaction. The presence of primary amine groups on the surface of aminated composite particles was confirmed by some conventional chemical routes, such as diazotization and Schiff's base formation reactions. The formation and functionality of the PS seed, PS/P(MMA-AAm-EGDMA), and aminated PS/P(MMA-AAm-EGDMA) composite polymer particles were confirmed by Fourier transform infrared (FTIR) spectra analyses. Scanning electron microscopy (SEM) analysis revealed spherical shape, size, and surface morphologies of the PS seed, reference composite, and aminated composites. The elemental surface compositions, surface porosity, pore volume, pore diameter, and surface area of both composite particles were evaluated by energy-dispersive X-ray (EDX) mapping, X-ray photoelectron spectroscopy, and Brunauer-Emmett-Teller (BET) and Barrett-Joyner-Halenda (BJH) analyses. Dynamic light scattering (DLS) and ζ-potential measurements confirmed the pH-dependent surface properties of the functionalized particles. The amount of the adsorbed anionic emulsifier, sodium dodecyl sulfate (SDS), on the surface of aminated PS/P(MMA-AAm-EGDMA) is higher at pH 4 than that at pH 10. A vice versa result was found in the case of cationic surfactant, hexadecyltrimethylammonium bromide (HTABr), adsorption. Synthesized aminated composite particles were used as an adsorbent for CO2 adsorption via bubbling CO2 in an aqueous medium. The changes in dispersion pH were monitored continuously during the adsorption of CO2 under various conditions. The amount of CO2 adsorption by aminated composite particles was found to be 209 mg/g, which is almost double that of reference composite particles.

A systematic review of the direct and indirect COVID-19's impact on food security and its dimensions: pre-and post-comparative analysis.

BACKGROUND: Since its emergence, the COVID-19 pandemic has compromised the food security both directly by impacting food supply chain and indirectly by overwhelming the individual health and/or personal financial situation. The overarching aim of the current study is to assess aspects of the food security crisis that have arisen due to COVID-19 and to identify which, if any, food security dimensions were specifically compromised. METHODS: Primary research articles were initially identified through four online databases (Scopus, PubMed, Google Scholar, and Web of Science), with the references of each paper then also reviewed for additional article. The food security status of individuals and the wider community, both before and after the emergence of COVID-19, were examined. RESULTS: Of the 2,057 studies initially identified, a total of ten were included in the final review. The included studies confirmed that COVID-19 had substantially impacted food security, with individuals, households and the wider community experiencing food insecurity. Nine of the included studies aruged that the food accessibility dimension was the most compromised. CONCLUSION: To address the identified direct and indirect food security issues associated with COVID-19, it is proposed that a combination of prevention practices and proactive food security activities is required. Integrating food security interventions, supporting and facilitating food security resilience, and conducting further studies on the food security of COVID-19 are also recommended.

Prevalence and risk factors of physical and psychological health among readymade garment workers in Bangladesh.

Objective. Poor health outcomes of Bangladeshi readymade garment (RMG) workers tend to be associated with a variety of occupational factors. This study aimed to investigate the prevalence of, and risk factors associated with, the physical and psychological health outcomes of Bangladeshi RMG workers. Methods. Responses to a cross-sectional survey from a convenience sample of 411 adult Bangladeshi RMG workers (mean age = 26.24 years; SD 6.40 years; female = 80%) were analysed using bivariate and multivariate (logistic regression models) analyses. Results. More than half of the participants reported headaches (61.6%) and colds/flu (51.3%), followed by fever (37.2%), diarrhoea (32.8%), bodily pain (29.9%) and respiratory infections (20.9%). For psychological health, stress (69.1%), anxiety (66.2%) and boredom (64.5%) were most prevalent, followed by sleeplessness (51.3%), depression (48.2%) and fear (34.3%). RMG workers from the factories located in Chattogram (a peripheral region compared to Dhaka) reported poorer physical and psychological health outcomes than those working in factories in Dhaka (the capital city of Bangladesh). Overall, compared to males, female RMG workers were more likely to be vulnerable to both physical and psychological health outcomes. Conclusion. Improvement in workplace conditions and safety programmes is needed to safeguard the overall health outcomes of Bangladeshi RMG workers.

Recent therapeutic targets for the prevention and management of diabetic complications.

Diabetes and associated complications represent major global public health issues which are associated with impaired quality of life and premature death. Although some diabetic complications have decreased in the developed world, the majority are still prevalent, with an increasing trend in the developing world. Currently used therapies are mainly 'glucocentric', focusing on the optimization of glycemic control to prevent, delay or manage diabetes-associated complications- other common comorbidities, such as dyslipidemia and hypertension are often underestimated. Although a number of novel therapeutic approaches have been reported recently, some of them have not received comparable attention in relation to either further studies or potential clinical implementation. This editorial briefly discusses some recent therapeutic approaches to the prevention and management of diabetes and its associated complications, as well as potential directions for future research and development in this area.

Correction: Rashid et al. Natural Compounds of Lasia spinosa (L.) Stem Potentiate Antidiabetic Actions by Regulating Diabetes and Diabetes-Related Biochemical and Cellular Indexes. Pharmaceuticals 2022, 15, 1466.

In the published publication [...].

Roles of Marine Macroalgae or Seaweeds and Their Bioactive Compounds in Combating Overweight, Obesity and Diabetes: A Comprehensive Review.

Obesity and diabetes are matters of serious concern in the health sector due to their rapid increase in prevalence over the last three decades. Obesity is a severe metabolic problem that results in energy imbalance that is persistent over a long period of time, and it is characterized by insulin resistance, suggesting a strong association with type 2 diabetes (T2D). The available therapies for these diseases have side effects and some still need to be approved by the Food and Drug Administration (FDA), and they are expensive for underdeveloped countries. Hence, the need for natural anti-obesity and anti-diabetic drugs has increased in recent years due to their lower costs and having virtually no or negligible side effects. This review thoroughly examined the anti-obesity and anti-diabetic effects of various marine macroalgae or seaweeds and their bioactive compounds in different experimental settings. According to the findings of this review, seaweeds and their bioactive compounds have been shown to have strong potential to alleviate obesity and diabetes in both in vitro and in vivo or animal-model studies. However, the number of clinical trials in this regard is limited. Hence, further studies investigating the effects of marine algal extracts and their bioactive compounds in clinical settings are required for developing anti-obesity and anti-diabetic medicines with better efficacy but lower or no side effects.

Visual Diagnostics of Dental Caries through Deep Learning of Non-Standardised Photographs Using a Hybrid YOLO Ensemble and Transfer Learning Model.

BACKGROUND: Access to oral healthcare is not uniform globally, particularly in rural areas with limited resources, which limits the potential of automated diagnostics and advanced tele-dentistry applications. The use of digital caries detection and progression monitoring through photographic communication, is influenced by multiple variables that are difficult to standardize in such settings. The objective of this study was to develop a novel and cost-effective virtual computer vision AI system to predict dental cavitations from non-standardised photographs with reasonable clinical accuracy. METHODS: A set of 1703 augmented images was obtained from 233 de-identified teeth specimens. Images were acquired using a consumer smartphone, without any standardised apparatus applied. The study utilised state-of-the-art ensemble modeling, test-time augmentation, and transfer learning processes. The "you only look once" algorithm (YOLO) derivatives, v5s, v5m, v5l, and v5x, were independently evaluated, and an ensemble of the best results was augmented, and transfer learned with ResNet50, ResNet101, VGG16, AlexNet, and DenseNet. The outcomes were evaluated using precision, recall, and mean average precision (mAP). RESULTS: The YOLO model ensemble achieved a mean average precision (mAP) of 0.732, an accuracy of 0.789, and a recall of 0.701. When transferred to VGG16, the final model demonstrated a diagnostic accuracy of 86.96%, precision of 0.89, and recall of 0.88. This surpassed all other base methods of object detection from free-hand non-standardised smartphone photographs. CONCLUSION: A virtual computer vision AI system, blending a model ensemble, test-time augmentation, and transferred deep learning processes, was developed to predict dental cavitations from non-standardised photographs with reasonable clinical accuracy. This model can improve access to oral healthcare in rural areas with limited resources, and has the potential to aid in automated diagnostics and advanced tele-dentistry applications.

A systematic review to identify the challenges to achieving effective patient flow in public hospitals.

This systematic review aims to uncover the challenges related to patient flow from a whole public hospital perspective and identify strategies to overcome these challenges. A search in Medline, Emcare and PubMed was conducted and 24 articles published in English, from 2015 to 2020, were selected in relation to patient flow challenges and strategies. Analysis of the articles was completed using a thematic approach to identify common themes in relation to the area of focus. Strategies from the literature were then aligned with the challenges to inform areas of potential improvement in relation to patient flow. The themes generated included Teamwork, Collaboration and Communication; Public Hospitals as complex systems; Timely discharge; Policy, Process and Decision-making; and Resources-capacity and demand. The key finding is that a whole system approach is required to improve patient flow in public hospitals. When effective patient flow is achieved, demand and capacity are matched, increasing patient access to the health service and enabling the resources required to provide high quality patient care. The findings will create a better understanding of improving patient flow in public hospitals.

An exploration of the concept of mental health recovery: Insights from practitioners and trainees.

BACKGROUND: Recovery concepts were conceived by, and for, people living with mental health issues. Practitioners are key in translating recovery principles into action. Therefore, practitioners' perceptions should be routinely assessed to facilitate in-service training, professional development, and curriculum redesign. AIM: To explore practitioners' and trainees' current perspectives regarding the concept of recovery. METHODS: The study used a qualitative exploratory design with in-depth interviews to explore ten fully trained practitioners and eight trainees' perspectives on recovery. RESULTS: The findings revealed a shared understanding of recovery among practitioners and trainees. Many responses explained recovery as a process involving internal and external conditions, however, some revealed medically oriented perspectives and/or were unclear about recovery terminologies. CONCLUSIONS: There is convergence and growing acceptance of the recovery practice principles among practitioners and trainees. However, the results suggest that the recovery principles/terminologies have not yet been universally adopted. IMPLICATIONS FOR PRACTICE AND RESEARCH: Continuous training on recovery principles is needed, incorporating emerging terminologies and principles. Also, education providers are encouraged to continue to review their training to incorporate emerging issues and trends in recovery-oriented practice. Finally, research is needed to enhance the development and delivery of recovery-focused practice.

Factors Influencing Hospitals' Disaster Preparedness in the Eastern Province of Saudi Arabia.

OBJECTIVE: The study aimed to identify the factors that influence the disaster preparedness of hospitals and validate an evaluation framework to assess hospital disaster preparedness (HDP) capability in the Eastern Province of Saudi Arabia. METHODS: A cross-sectional survey of all hospitals (n = 72) in the Eastern Region of Saudi Arabia was conducted. A factor analysis method was used to identify common factors and validate the evaluation framework to assess HDP capacity. RESULTS: Sixty-three (63) hospitals responded to the survey. A 3-factor structure was identified as key predicators of HDP capacity. The first factor was the most highly weighted factor, which included education and training (0.849), monitoring and assessing HDP (0.723), disaster planning (0.721), and command and control (0.713). The second factor included surge capacity (0.708), triage system (0.844), post-disaster recovery (0.809), and communication (0.678). The third factor represented safety and security (0.638) as well as logistics, equipment, and supplies (0.766). CONCLUSION: The identified 3-factor structure provides an innovative approach to assist the operationalization of the concept of HDP capacity building and service improvement, as well as serve as a groundwork to further develop instrument for assessing HDP in future studies.

Disability-adjusted life years (DALYs) based COVID-19 health impact assessment: a systematic review.

BACKGROUND: The emergence of COVID-19 has resulted in health, socio-economic, and political crises. The overall health impact of this disease can be measured by disability-adjusted life years (DALYs) which is the sum of the life years lost due to disability (YLDs) and the years life lost due to premature death (YLLs). The overarching objective of this systematic review was to identify the health burdens of COVID-19 and summarise the literature that can aid health regulators to make evidence-based decisions on COVID-19 mitigation strategies. METHODS: This systematic review was conducted using the PRISMA 2020 guidelines. DALYs-based primary studies were collected from databases, manual searches, and included studies' references. The primary studies published in English language, conducted since the emergence of COVID-19, and using DALYs or its subsets (years life lost due to disability and/or years life lost due to premature death) as health impact metrics, were the inclusion criteria. The combined disability and mortality health impact of COVID-19 was measured in DALYs. The risk of bias due to literature selection, identification, and reporting processes was assessed using the Joanna Bridges Institute critical appraisal tool for cross-sectional studies, and the certainty of evidence was assessed using the GRADE Pro tool. RESULT: Of the 1459 identified studies, twelve of them were eligible for inclusion in the review. The years life lost due to COVID-19 related mortality was dominant over the years life lost due to COVID-19 related disability (disability times from the onset of COVID-19 to recovery, from diseases occurrence to mortality, and the long-term consequences of COVID-19) in all included studies. The long-term consequence disability time and the pre-death disability time were not assessed by most of the reviewed articles. CONCLUSION: The impact of COVID-19 on both the length and quality of life has been substantial and has been causing considerable health crises worldwide. The health burden of COVID-19 was greater than other infectious diseases. Further studies focussing on issues examining increasing preparedness for future pandemics, public sensitization, and multi-sectorial integration are recommended.