METHODS: We conducted a systematic review by searching PubMed, EMBASE, and Scopus to identify articles reporting epidemiological models in snakebite envenoming from database inception to 31st December 2023. A narrative synthesis was performed to summarise types of models, methodologies, input parameters, model outputs, and associating factors.
RESULTS: Thirty-nine modelling studies were included from 2426 retrieved articles, comprising statistical models (76.9%) and mathematical models (23.1%). Most of the studies were conducted in South Asia, (35.9%) and Latin America (35.9%), and only a few (5.1%) were a global burden estimation. The eligible studies constructed 42 epidemiological models, of which 33 were statistical models that included regression, (60.6%) geostatistical (21.2%), and time series, (18.2%) while 9 mathematical models comprised compartmental, (44.4%) agent-based, (22.2%) transmission dynamics, (11.1%) network, (11.1%) and a simple mathematical model (11.1%). The outputs of the models varied across the study objectives. Statistical models analysed the relationship between incidence, (83.3%) mortality, (33.3%) morbidity (16.7%) and prevalence (10.0%) and their associating factors (environmental, [80%] socio-demographic [33.3%] and therapeutic [10.0%]). Mathematical models estimated incidence, (100%) mortality (33.3%), and morbidity (22.2%). Five mathematical modelling studies considered associating factors, including environmental (60%) and socio-demographic factors (40%).
CONCLUSION: Mathematical and statistical models are crucial for estimating the burden of snakebite envenoming, offering insights into risk prediction and resource allocation. Current challenges include low-quality data and methodological heterogeneity. Modelling studies are needed, and their continued improvement is vital for meeting WHO goals. Future research should emphasise standardised methodologies, high-quality community data, and stakeholder engagement to create accurate, applicable models for prevention and resource optimization in high-burden regions, including Africa and Asia.
METHODS: Participants in this prospective interventional study at a rehabilitation institution for people aging with disabilities included learners, the chief executive officer of the institution, program auditors, and community members. A customized CBR curriculum was developed using systems thinking design. Thirty-five learners were trained through 36 instructional contact hours and 60 hours of guided self-directed learning. Learners completed pre-training self-reported questionnaires regarding knowledge and experience of CBR. During training, learners were evaluated continuously through observation, assignments, self-reported feedback questionnaires, and CBR projects. The chief executive officer was interviewed during the study. The program auditors were interviewed and wrote reports on the curriculum and observations regarding the CBR projects. Learners reported on community participation in these projects.
RESULTS: Thirty-three of 35 learners completed the program, 31 (94%) of whom had no prior knowledge of CBR. Learners implemented nine community engagement CBR projects, in which 1,293 community members participated. The auditors commended the curriculum content and its positive impact on learners and the community. The chief executive officer implemented inclusive community engagement at work. A CBR curriculum was dynamically developed for multidisciplinary rehabilitation team training to promote community engagement.
CONCLUSIONS: The custom-designed CBR curriculum enabled multidisciplinary teams to practice community engagement at work. Equipped with CBR knowledge and skills, teams engaged with multiple sectors of the community to enhance patients' rehabilitation potential and increase public awareness through the implemented projects.
METHODS: Using the Dimensions and Lens.org databases with Boolean operators combined the keywords a total of 40,046 peer-reviewed international publications were initially assessed. The article was selected from 2014 to December 2023. Through rigorous application of inclusion and exclusion criteria using an advanced search, a subset of 134 papers emerged to meet the high relevance standards. This subset, constituting a representative sample, was selected for in-depth bibliometric analysis.
RESULTS AND CONCLUSION: The result shows a clear upward trend in the number of publications, with a notable increase in 2018. After 2018, there is decrease in the number of publications, but it has an upward trend, reaching a peak of 215 in 2022. Chaitanya Nallan CSK leads the list of authors with four publications and a respectable total citation count of 12. Cairo University is the leading institution in this data set, with the 8 number of publications and 11 citations. The analysis revealed that at the top of the list is the "Egyptian Dental Journal" from Egypt, with six publications, four citations, and a link strength of two. In the second position is "BMC Oral Health" from the United Kingdom, with five publications, one citation, and a link strength of three. This study offers valuable insights for future research, clinical practice, and policy decisions.
METHODOLOGY: A triethylene glycol dimethacrylate (TEGDMA) and urethane dimethacrylate (UDMA)-based experimental resin infiltrate was prepared. Initial mixing was done manually for 1 h at room temperature, followed by another mix for 30 min on a magnetic stirrer. This prepared resin, called "PURE RESIN" was then further incorporated with three different types of bioactive glasses, i.e., Bioglass (45S5), boron-substituted (B-BG), and fluoride-substituted (F-BG). Initial manual mixing for 1 h, followed by ultrasonic mixing for 3 min and then proceeded for the final mixing on a magnetic stirrer for 24 h in a dark room at ambient temperature. Human-extracted teeth were demineralized, and the experimental resins were infiltrated on the demineralized surface. The surface area, pore size, and volume of the demineralized surface were measured. The microleakage and penetration depth were analyzed with the stereomicroscope and micro-CT, respectively. The samples were challenged with the pH cycle for 14 days, followed by a scanning electron microscope (SEM). Thermocycling (5,000 cycles) and chemical aging (4 weeks) were conducted, followed by microhardness, surface roughness, and SEM analyses. Statistical analyses were conducted after each test.
RESULTS: The F-BG group achieved the highest initial and day 14 penetration coefficients. There was a superior dye penetration with the microleakage analysis in the F-BG group. The 45S5 group had the highest average penetration depth via micro-CT analysis. After thermocycling and chemical aging, the micro-hardness was reduced (non-significantly) among all samples except the F-BG group in post-chemical aging analysis, whereas the surface roughness was significantly increased. SEM images showed the presence of micro-pits on the surfaces after the thermal and chemical aging.
CONCLUSION: The F-BG group achieved the highest initial and day 14 penetration coefficients. There was a superior dye penetration with the microleakage analysis in the F-BG group. The 45S5 group had the highest average penetration depth via micro-CT analysis. After thermocycling and chemical aging, the micro-hardness was reduced (non-significantly) among all samples except the F-BG group in post-chemical aging analysis, whereas the surface roughness was significantly increased. SEM images showed the presence of micro-pits on the surfaces after the thermal and chemical aging.