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This paper presents a dynamic system for estimating the spreading profile of COVID-19 in Thailand, taking into account the effects of vaccination and social distancing. For this purpose, a compartmental network is built in which the population is divided into nine mutually exclusive nodes, including susceptible, insusceptible, exposed, infected, vaccinated, recovered, quarantined, hospitalized, and dead. The weight of edges denotes the interaction between the nodes, modeled by a series of conversion rates. Next, the compartmental network and corresponding rates are incorporated into a system of fractional partial differential equations to define the model governing the problem concerned. The fractional degree corresponding to each compartment is considered the node weight in the proposed network. Next, a Monte Carlo-based optimization method is proposed to fit the fractional compartmental network to the actual COVID-19 data of Thailand collected from the World Health Organization. Further, a sensitivity analysis is conducted on the node weights, i.e., fractional orders, to reveal their effect on the accuracy of the fit and model predictions. The results show that the flexibility of the model to adapt to the observed data is markedly improved by lowering the order of the differential equations from unity to a fractional order. The final results show that, assuming the current pandemic situation, the number of infected, recovered, and dead cases in Thailand will, respectively, reach 4300, 4.5 × 10 6 , and 36,000 by the end of 2021.The pandemic being a health issue at its core is a multifaceted crisis encompassing both economic and epidemic factors in a twisted tale of challenges. In counteraction, we have proposed a combined epidemic-economic model that analyses system dynamics arising in the presence of an infectious disease (SARS-2-COVID-19 in our case). Dynamical analysis of the system has been performed in context to the equilibria along with local and global stability analysis of the system simultaneously visualizing the effect on capital stabilization. The global stability analysis has been performed using graph-theoretic method. Curve-Fit has been performed for the system using optimization algorithm. The relation between all the parameters and variables involved in the model has been explored by calculating sensitivity indices which gives us the proportion that a relative change in a parameter brings to the relative change in a variable. Colivelin Our findings reveal that (1) Vaccination instigates economic growth (with evidence of data obtained for 24 countries). (2) Complete vaccination leads to a considerable reduction in all infections (reduction up to 90%, as per current CDC study). (3) Excessive exposure to media can facilitate spike in infections. (4) Parameter sensitivity analysis can be of immense help in policy formation.

Increased rates of surgery, combined with concerns about high-risk pain medications, have highlighted the need for improved methods of meaningfully assessing pain. In response to lack of medical context and functional data in existing scales, the Activity-Based Checks (ABCs) was developed.

This prospective, cohort study was deployed at a single-institution, academic center. The primary outcome was to correlate the ABCs to the 0 - 10 numeric rating scale (NRS) in post-operative general surgery patients. Secondary outcomes included assessing the impact of patient factors and prescribing patterns on opioid consumption, in milligrams of morphine equivalents (MME), after discharge.

The function that correlated most to the NRS at discharge was "Out of Bed to Chair". Indicators of better mental health were correlated inversely with MME consumption. Interestingly, the largest predictor of MME taken was MME prescribed. Over 40% of prescribed opioids goes unused.

Functional pain scales, like the ABCs, may be useful adjuncts to evaluate pain. Individual functions, such as, "Out of Bed to Chair", may be of particular importance. Clinicians must be aware that the strongest predictor of MMEs taken by patients was MMEs prescribed, highlighting the importance of better pain assessments and opioid stewardship.

Functional pain scales, like the ABCs, may be useful adjuncts to evaluate pain. Individual functions, such as, "Out of Bed to Chair", may be of particular importance. Clinicians must be aware that the strongest predictor of MMEs taken by patients was MMEs prescribed, highlighting the importance of better pain assessments and opioid stewardship.

The primary purpose of this study was to determine if new recommendations for prenatal supplements of docosahexaenoic acid (DHA) and choline have been implemented into care by physicians who care for pregnant women in rural Kansas communities. Both nutrients are inadequate in the diet of most pregnant women in the U.S., and not all prenatal supplements provide DHA and choline.

A cross sectional web-based survey was developed and provided by the University of Kansas Medical Center (KUMC) students to 44 rural Kansas clinics believed to have physicians who provide obstetrical care. Questions about DHA and choline were embedded in a larger survey focused on prenatal care. A total of 29 surveys were returned, however, only 21 were completed by physicians who provided obstetrical care.

DHA (3/21) and choline (0/21) rarely were singled out for recommendation in contrast to folic acid (16/21) and iron (14/21). Participants stated that most women sought prenatal care during the first trimester of their pregnancy and indicated that they recommended prenatal vitamins at the first visit. Eleven gave patients a prescription for prenatal vitamins. The remaining patients either chose traditional over the counter prenatal vitamin capsules or less traditional chewable (gummy) vitamins, which provided lower concentrations of nutrients. Common barriers to nutritional counseling were limited resources and time constraints. Clinicians assessed their confidence and ability to provide nutritional counseling as moderate and competent, respectively.

New nutritional recommendations for DHA and choline have not been implemented into standard of care in rural Kansas.

New nutritional recommendations for DHA and choline have not been implemented into standard of care in rural Kansas.

Psychological distress affects up to 25% of pregnant women and contributes to poor birth outcomes. Screening with appropriate referral or treatment is critical, yet many women do not access services. This project aimed to identify knowledge of and barriers to mental health services in the perinatal period.

Interviews with low-income pregnant or postpartum women, primary care providers (PCPs), and mental health care providers were conducted in Sedgwick County, Kansas. Interviews were transcribed, independently reviewed using grounded theory, and stratified using a social-ecological model framework.

Thirty-three interviews were conducted with 12 (36%) pregnant or postpartum women, 15 (45%) PCPs, and 6 (18%) mental health care providers. Barriers were categorized into three levels individual, social, and society. Individual level barriers, including cost or lack of insurance and transportation, were consistent across groups, however, women identified barriers only at this level. Provider groups identified barriers at all levels, including lack of support, poor communication between providers, and Medicaid limitations.

Multi-level interventions are needed to improve access to mental health care for low-income women in the perinatal period.

Multi-level interventions are needed to improve access to mental health care for low-income women in the perinatal period.

During fracture osteosynthesis, traumatologists may remove screws which are too long, cut the excess length from the screw tip, then reinsert the cut screw (CS) to minimize implant waste. The purpose of this study was to determine if this practice influences screw purchase.

Using an axial-torsion load device, the maximal insertion torque (MIT) required to insert 3.5 mm stainless steel cortical screws into normal and osteoporotic bone models was measured. MIT was determined in three different test conditions (1) long screw (LS) insertion; (2) LS insertion, removal, and insertion of a normal-length screw (NS); and, (3) LS insertion, removal, cutting excess length from the screw tip, and reinserting the CS.

In the normal bone model, mean (± SD) MIT of LS insertion was 546 ± 6 Newton-centimeters (N-cm) compared to 496 ± 61 N-cm for NS reinsertion and 465 ± 69 N-cm for CS reinsertion. In the osteoporotic bone model, MIT of LS insertion was 110 ± 11 N-cm, whereas the values for NS and CS reinsertions were 98 ± 9 N-cm and 101 ± 12 N-cm, respectively. There was no significant difference in MIT between CS and NS reinsertions in the osteoporotic bone analog.

Cutting excess length from a 3.5 mm stainless steel cortical screw did not decrease its purchase regardless of bone density. During osteosynthesis, orthopaedists may remove screws which are too long, cut the screw tip, and reinsert the shortened screw as a cost-saving measure without compromising fracture fixation.

Cutting excess length from a 3.5 mm stainless steel cortical screw did not decrease its purchase regardless of bone density. During osteosynthesis, orthopaedists may remove screws which are too long, cut the screw tip, and reinsert the shortened screw as a cost-saving measure without compromising fracture fixation.

Coronavirus disease 2019 (COVID-19) is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and has spread rapidly throughout the world since its discovery in 2019. Three vaccines (Pfizer-BioNTech, Moderna/NIAID/BARDA, and Johnson & Johnson's Janssen) have been developed for use in the U.S. to aid in the fight against this virus, but have been scrutinized intensely for their efficacy and safety. It is important to understand and interpret the adverse events or reactions (AERs) associated with these vaccines in an objective and analytical manner. The goal of this descriptive study was to provide a resource outlining AERs associated with the three available vaccines in Kansas.

Reports were obtained from the Vaccine Adverse Event Reporting System (VAERS), representing AERs observed in Kansas from December 11, 2020 to May 13, 2021. All data were screened and coded, and descriptive statistics were used to describe AERs based on vaccine manufacturer, patient age and biological sex, and replable for those age groups, as well as reporting AERs for those who have received the vaccine after our study time period.

No reported AERs were unexpected compared to national data, and no VAERs report provided a causal relationship between vaccine administration and death. Vaccines are, and will continue to be, essential tools to fight COVID-19 in the quest to reach herd immunity. Providing a resource of potential AERs could aid in individual decisions to receive a vaccine and may help in the control of COVID-19. Future studies may include describing reported AERs for children under age 12 as the vaccines become available for those age groups, as well as reporting AERs for those who have received the vaccine after our study time period.

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