The Mathematical Model for searching the Shortest Route for TB Patients with the help of Dijkstra’s Algorithm

In this research paper, we have studied TB (Tuberculosis) patients who come from different traffic routes in order to seek medical help and treatment in Karachi, Sindh, Pakistan. In this research work, we have focused on the transportation problems of the TB patients. These TB patients can travel on the paths having minimum distance as found out in this paper using Dijktra’s Algorithm. People hope that they have better treatment opportunities and financial medical relief in the government and private hospitals in Karachi. There are many private hospitals in the city but unfortunately, they provide expensive treatments. As a consequence, people belonging to the poor or lower and middle classes approach government hospitals adequately. Among them, Nazimabad Chest Hospital for TB patients (under the supervision of Dow University of Health Sciences) is providing better facilities as compared to the other hospitals involved in providing medical treatments for the similar medical issues. Nazimabad Chest Hospital for TB patients is renowned for its high quality treatment of TB patients. The hospital is located inside Government Hospital Nazimabad (under the control of Dow University), Karachi. It has latest equipments, competent and qualified staff to treat TB patients. Patients have to visit the hospital on weekly basis from their homes and residences. They use several combinations of traffic routes to reach the hospital as these patients live in different areas like, Malir Cantt, Safari Park, Hassan Square, North-Nazimabad, North Karachi, Gulshan-e-Iqbal, etc. A path or road is required which takes the least amount of time and subsequently reduces the transportation charges. In this paper, an effort has been made to locate the shortest route for the convenience for these TB patients. In this paper, a mathematical model has been developed by using the method of Dijkstra’s algorithm to attain the desired objective.

Methodology of emergency medical logistics for multiple epidemic areas in public health emergency

Coronavirus disease 2019(COVID-19) has brought great disasters to humanity, and its influence continues to intensify. In response to the public health emergencies, prompt relief supplies are key to reduce the damage. This paper presents a method of emergency medical logistics to quick response to emergency epidemics. The methodology includes two recursive mechanisms: (1) the time-varying forecasting of medical relief demand according to a modified susceptible-exposed-infected- Asymptomatic- recovered (SEIAR) epidemic diffusion model, (2) the relief supplies distribution based on a multi-objective dynamic stochastic programming model. Specially, the distribution model addresses a hypothetical network of emergency medical logistics with considering emergency medical reserve centers (EMRCs), epidemic areas and e-commerce warehousing centers as the rescue points. Numerical studies are conducted. The results show that with the cooperation of different epidemic areas and e-commerce warehousing centers, the total cost is 6% lower than without considering cooperation of different epidemic areas, and 9.7% lower than without considering cooperation of e-commerce warehousing centers. Particularly, the total cost is 20% lower than without considering any cooperation. This study demonstrates the importance of cooperation in epidemic prevention, and provides the government with a new idea of emergency relief supplies dispatching, that the rescue efficiency can be improved by mutual rescue between epidemic areas in public health emergency.

Hidden patterns among the fatally injured pedestrians in an Iranian population: application of categorical principal component analysis (CATPCA)

Background Identifying hidden patterns and relationships among the features of the Fatal Pedestrian Road Traffic Injuries (FPRTI) can be effective in reducing pedestrian fatalities. This study is thus aimed to detect the patterns among the fatally injured pedestrians due to FPRTI in East Azerbaijan province, Iran. Methods This descriptive-analytic research was carried out based on the data of all 1782 FPRTI that occurred in East Azerbaijan, Iran from 2010 to 2019 collected by the forensic organization. Categorical Principal Component Analysis (CATPCA) was performed to recognize hidden patterns in the data by extracting principal components from the set of 13 features of FPRTI. The importance of each component was assessed by using the variance accounted for (VAF) index. Results The optimum number of components to fit the CATPCA model was six which explained 71.09% of the total variation. The first and most important component with VAF = 22.04% contained the demographic and socioeconomic characteristics of the killed pedestrians. The second-ranked component with VAF = 12.96% was related to the injury type. The third component with VAF = 10.56% was the severity of the injury. The fourth component with VAF = 9.07% was somehow related to the knowledge and observance of the traffic rules. The fifth component with VAF = 8.63% was about the quality of medical relief and finally, the sixth component with VAF = 7.82% dealt with environmental conditions. Conclusion CATPCA revealed hidden patterns among the fatally injured pedestrians in the form of six components. The revealed patterns showed that some interactions between correlated features led to a higher mortality rate.

Mixed Micelles with Galactose Ligands for the Oral Delivery of Berberine to Enhance Its Bioavailability and Hypoglycemic Effects

Diabetes mellitus (DM) has become an epidemic disorder that is an escalating public health risk. Currently, DM treatment is highly challenging due to temporary medical relief rather than a permanent cure. This article reports a ligand-anchored mixed micellar system formed by phospholipids and N -oleoyl-D-galactosamine aiming to enhance the oral bioavailability and hypoglycemic effects of berberine, an antidiabetic agent with poor absorption. Berberine-loaded mixed micelles (BBMMs) were prepared through a solvent diffusion technique. The resulting BB-MMs were characterized by particle size, potential, morphology, entrapment efficiency (EE) and in vitro release. The oral pharmacokinetics and hypoglycemic efficacy of BB-MMs were evaluated in rats and compared with a berberine suspension. As a result, BB-MMs prepared with the preferable formulation had a particle size of approximately 100 nm with an EE of over 85%. BB-MMs exhibited sustained drug release owing to the entrapment in the micelles. After oral administration, BB-MMs ameliorated the pharmacokinetic profile of berberine and significantly enhanced its oral bioavailability (317.17% relative to the suspension). The pharmacological effect (PE) of BB-MMs was approximately 3.44 times greater than that of the suspension. In addition, in situ single-pass intestinal perfusion and cellular testing results illustrated that BB-MMs had good intestinal permeability and cellular uptake. Our findings demonstrate that the oral bioavailability and hypoglycemic effects of berberine could be largely enhanced by encapsulation into mixed micelles with a galactose moiety. Thus, galactosylated micelles may be promising for developing berberine nanomedicines to fight DM.

Community Health Screening And Education Through Laboratory Science Workshop: Participant Evaluation Of The 2018 Pilot Program In Aco, Peru

Introduction/Objective Public health outreach initiatives underutilize laboratory medicine students and professionals. This poster will discuss a novel bilingual community health screening and education (CHS & E) through laboratory science service-learning (SL) study abroad (SA) program that could be utilized to improve community engagement and understanding of public health issues from a lab perspective. Methods In collaboration with The Foundation for International Medical Relief of Children (FIMRC), Texas State University faculty member, Joanna Ellis, and five CLS senior-level students traveled to Huancayo, Peru in June of 2018 for a CHS & E through lab science SL-SA program. Utilizing the self-powered Lab-in-a-Suitcase from International Aid, the group conducted four CHS & E through lab science events in four different communities. We conducted hemoglobin, urinalysis, glucose, cholesterol, and STI screenings on more than 160 people. The CUY Project was the most involved activity with six interactive stations for the families to learn about anemia, parasites, and nutrition through lab tests. Parents and children learned more about their conditions through interactive lab science activities and tests. Following the workshop, parent participants were given an anonymous survey about their knowledge before and after the workshop as well as their suggestions for its improvement. Results The lab-science based activities illustrated the biological impact of their lifestyle and dietary choices in a new and impactful way. Participants self-assessed that they learned significantly more about anemia and diabetes during the workshop. Participants learned more about hygiene than they knew before the workshop; however, the increase was not statistically significant. Parent participants surveyed (100%) stated that the workshop would help them make decisions in caring for their children and would help prevent future health problems. Conclusion Although the newest iteration of the workshop is entitled Health Education Advances with Lab Science (HEALS) this poster will describe the preparation, implementation, and first stage of evaluation of the CHS & E through laboratory science workshop in Peru. This poster session is an opportunity to discuss how laboratory professionals can interact with their community and showcase the value of the field in public health education initiatives.

Modi will look to philanthropists in COVID-19 fight

Subject Role of philanthropy in India. Significance India has seen a surge in philanthropic activity in response to COVID-19. Late last month, Prime Minister Narendra Modi launched a special fund to support people requiring medical relief or experiencing hardship because of the nationwide lockdown imposed by the government to prevent the spread of the disease. Impacts Individuals making large donations to COVID-19 relief efforts will aim to ensure their generosity receives maximum publicity. Companies hit financially by the shuttering of the economy could struggle to discharge corporate social responsibility. The central government faces pressure to offer more economic support to low-income people who have struggled through the COVID-19 lockdown.