A Comparative Analysis of Distribution and Allocation of Covid-19 Vaccines Between Two Administrations

The pandemic of COVID-19 is a life-threatening disease that entailed all governments but especially the U.S government, to quickly prevent methods of spreading the virus while strategically putting in place a plan for biological testing for a vaccine for immunity. The purpose was to determine how effective the formulation of a COVID-19 vaccine and the distribution would impact the mortality with efficacy rates. Besides, this research paper underlines the principles for ethical and equitable distribution for mass immunization. A comparative analysis between the Trump Administration and the Biden Administration will be presented regarding the funding stream, distribution of vaccinations, and prioritization efforts against morbidity and mortality. We will determine how the resources and funding were utilized to provide Covid-19 vaccines rapidly enough for mass immunization

Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach

Due to the high popularity of Twitter, spammers tend to favor its use in spreading their commercial messages. In the context of detecting twitter spams, different statistical and behavioral analysis approaches were proposed. However, these techniques suffer from many limitations due to (1) ongoing changes to Twitter\u2019s streaming API which constrains access to a user\u2019s list of followers/followees, (2) spammer\u2019s creativity in building diverse messages, (3) use of embedded links and new accounts, and (4) need for analyzing different characteristics about users without their consent. To address the aforementioned challenges, we propose a novel ontology-based approach for spam detection over Twitter during events by analyzing the relationship between ham user tweets vs. spams. Our approach relies solely on public tweet messages while performing the analysis and classification tasks. In this context, ontologies are derived and used to generate a dictionary that validates real tweet messages from random topics. Similarity ratio among the dictionary and tweets is used to reflect the legitimacy of the messages. Experiments conducted on real tweet data illustrate that message-to-message techniques achieved a low detection rate compared to our ontology based approach which outperforms them by approximately 200%, in addition to promising scalability for large data analysis

Pelvic trauma : WSES classification and guidelines

Complex pelvic injuries are among the most dangerous and deadly trauma related lesions. Different classification systems exist, some are based on the mechanism of injury, some on anatomic patterns and some are focusing on the resulting instability requiring operative fixation. The optimal treatment strategy, however, should keep into consideration the hemodynamic status, the anatomic impairment of pelvic ring function and the associated injuries. The management of pelvic trauma patients aims definitively to restore the homeostasis and the normal physiopathology associated to the mechanical stability of the pelvic ring. Thus the management of pelvic trauma must be multidisciplinary and should be ultimately based on the physiology of the patient and the anatomy of the injury. This paper presents the World Society of Emergency Surgery (WSES) classification of pelvic trauma and the management Guidelines.Peer reviewe

A Comparative Analysis of Distribution and Allocation of Covid-19 Vaccines Between Two Administrations

The pandemic of COVID-19 is a life-threatening disease that entailed all governments but especially the U.S government, to quickly prevent methods of spreading the virus while strategically putting in place a plan for biological testing for a vaccine for immunity. The purpose was to determine how effective the formulation of a COVID-19 vaccine and the distribution would impact the mortality with efficacy rates. Besides, this research paper underlines the principles for ethical and equitable distribution for mass immunization. A comparative analysis between the Trump Administration and the Biden Administration will be presented regarding the funding stream, distribution of vaccinations, and prioritization efforts against morbidity and mortality. We will determine how the resources and funding were utilized to provide Covid-19 vaccines rapidly enough for mass immunization

May Measurement Month 2019: an analysis of blood pressure screening results from Lebanon

Hypertension is an important public health concern of high prevalence among adults. It is associated with an increased mortality rate. The prevalence of hypertension in Lebanon has increased during the last decades, affecting around one-third of the Lebanese population. Since diagnosis and treatment of hypertension is associated with a better prognosis, annual screening and raising awareness about this 'silent killer' disease is of extreme value. We conducted a cross-sectional survey in various Lebanese cities in 2019. We recruited adults (≥18 years old) from different sites, through an opportunistic sampling method. For each participant, three blood pressure (BP) readings were recorded and the average of the last two was analysed. In addition, data on lifestyle factors and comorbidities were collected. Participants were considered hypertensive if they had at least one of the following: systolic or diastolic BP ≥140 and/or ≥90 mmHg, respectively, or taking antihypertensive medication. Blood pressure was measured in 7019 participants. The mean age was 46.0 (SD 16.6) years. In total, 2572 participants (36.6%) had hypertension among whom only 64.1% were aware of their disease and 62.3% were on treatment. Blood pressure was controlled in 62.6% of participants taking antihypertensive medications. This study is the largest on hypertension prevalence in Lebanon. The results demonstrated that around one-third of the hypertensive population were not aware of their disease, and that a high percentage was not being treated. These results suggest the need for rapid interventions aimed at raising awareness regarding hypertension in the Lebanese population