Study of the etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues and caries in children

The article discusses the results of the study of etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues, caries and their complications. The experimental study was carried out at the Department of Dentistry of the Tambov State University named after G.R. Derzhavin, Tambov, for the period from 2019 to 2021 based on the data obtained in the course of dental research of etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues, caries and their complications. The practical significance of the study lies in the fact that its theoretical provisions and the empirical results obtained can be used by dentists for further research in this area of dentistry. The relevance of the study of etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues, caries and their complications is beyond doubt in modern society. Thus, many aspects of the study of dentistry have found their place in the ontological field of dental problematic, revealing particular and special studies of etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues, caries and their complications. It can be concluded that the study of etiology, pathogenesis, epidemiology, methods of prevention, diagnosis and treatment of lesions of dental hard tissues, caries and their complications fell out of sight of researchers for a long time.

A SARS-CoV-2 overview for people in a hurry

SARS-CoV-2 is the etiologic agent of the current COVID-19 pandemic which has wreaked unprecedented economic and healthcare calamity. It is a deadly virus belonging to the Coronaviridae family, with high sequence similarity to the 2003 SARS epidemic coronavirus 1. The global race to produce vaccines to stem the disease-as well as the public health urgency-has spurred tremendous growth in the litany of literature which attempts to uncover the enigma of this deadly virus. Amidst this evergrowing list of literature , this paper seeks to concisely elaborate on key progresses made in the understanding of SARS-CoV-2 in the realms of its life cycle, epidemiology, methods for detection, and vaccine research into an easily assimilable paper for readers.

Stratifying Malaria Receptivity In Bangladesh Using Archived Rapid Diagnostic Tests

Background Surveillance on low-density infections and exposure to vectors is crucial to understand where malaria elimination might be feasible, and where the risk of outbreaks is high. Archived rapid diagnostic tests (RDTs), used by national malaria control and elimination programs for clinical diagnosis, present a valuable, yet rarely used resource for in-depth studies on malaria epidemiology. Methods We screened 1,022 RDTs from two sub-Districts in Bangladesh (Alikadam and Kamalganj) by qPCR for low-density Plasmodium falciparum and Plasmodium vivax infections, and by ELISA for Anopheles salivary gland antibodies as a marker for exposure to vectors. Results Concordance between RDT and qPCR was moderate. qPCR detected 31/1022 infections compared to 36/1022 diagnosed by RDT. Exposure to Anopheles was significantly higher in Kamalganj despite low transmission, which could be explained by low bed net use. Conclusions Archived RDTs present a valuable source of antibodies for serological studies on exposure to vectors. In contrast, the benefit of screening archived RDTs to obtain a better estimate of test positivity is moderate. Kamalganj could thus be prone to outbreaks.

Paediatric forearm refractures- management and outcome: a prospective study

<p class="abstract"><strong>Background:</strong> Forearm fractures are one of the commonest injuries accounting for 40% of paediatric fractures with a refracture rate of nearly 5%. Forearm refractures are increasing probably due to poor bone mineralization as a result of decreased physical activity, Vitamin D deficiency. These are treated by conservative measures with closed reduction and casting or by surgical fixation with flexible nails or plates. There are no definitive guidelines for management of forearm refracture and implant removal.</p><p class="abstract"><strong>Methods:</strong> The study is aimed at the epidemiology, methods and difficulties of management and functional outcome of forearm refracture treatment. A prospective study of all the cases of forearm refracture who presented to our institution from 2010 to 2016 with refractures treated either by conservative methods or by IMN. All cases were followed up for 2 years and functional outcome was assessed serially according to price et-al criteria.<strong></strong></p><p class="abstract"><strong>Results:</strong> Our study contained 17 males and 8 females between 6 years and 14 years. 76% refractures occurred before 16 weeks and majority had only tricortical union at this time. 42% patients underwent surgical fixation following refracture. Price et al criteria showed excellent results in 72% of patients.</p><p class="abstract"><strong>Conclusions:</strong> Forearm refractures in children can be treated both conservatively and surgically like a primary fracture depending on the indications but needs 2 to 3 more weeks of immobilization. A good functional outcome was obtained in majority of the cases. We suggest using splints till quadricortical union is achieved to prevent chances of refracture.</p>

PREPRINT: Using digital epidemiology methods to monitor influenza-like illness in the Netherlands in real-time: the 2017-2018 season

IntroductionDespite the early development of Google Flu Trends in 2009, digital epidemiology methods have not been adopted widely, with most research focusing on the USA. In this article we demonstrate the prediction of real-time trends in influenza-like illness (ILI) in the Netherlands using search engine query data.MethodsWe used flu-related search query data from Google Trends in combination with traditional surveillance data from 40 general sentinel practices to build our predictive models. We introduced an artificial 4-week delay in the use of GP data in the models, in order to test the predictive performance of the search engine data.Simulating the weekly use of a prediction model across the 2017/2018 flu season we used lasso regression to fit 52 prediction models (one for each week) for weekly ILI incidence. We used rolling forecast cross-validation for lambda optimization in each model, minimizing the maximum absolute error.ResultsThe models accurately predicted the number of ILI cases during the 2017/18 ILI epidemic in real time with a mean absolute error of 1.40 (per 10,000 population) and a maximum absolute error of 6.36. The model would also have identified the onset, peak, and end of the epidemic with reasonable accuracyThe number of predictors that were retained in the prediction models was small, ranging from 3 to 5, with a single keyword (‘Griep’ = ‘Flu’) having by far the most weight in all models.DiscussionThis study demonstrates the feasibility of accurate real-time ILI incidence predictions in the Netherlands using internet search query data. Digital ILI monitoring strategies may be useful in countries with poor surveillance systems, or for monitoring emergent diseases, including influenza pandemics. We hope that this transparent and accessible case study inspires and supports further developments in field of digital epidemiology in Europe and beyond.