ABSTRACT
Maintaining a microbial-free environment in healthcare facilities is more widely recognized as an essential component of therapies to minimize transmission of viruses associated with healthcare sector. The global spread of COVID-19 and recent outbreaks have presented humanity with previously unheard-of challenges. The development of autonomous disinfection robots seems to be necessary given the urgent need for constant sterilization in the face of a labor shortage. Due to their automated and perceived cost advantages by eliminating cleaning staff, these robots are being advertised more and more as an easy solution to immediately disinfect rooms and operating areas. The use of these services lowers the danger of infection, and expense of traditional cleaning and, most significantly, builds trust and security in medical facilities. Currently, routine (manual) cleaning is not replaced by disinfection robots; rather, they may support it. Additional hospital and device design alterations are necessary to address the overshadowing (visibility) issue allowing Ultraviolet disinfectant (UV-D) robots move freely in the medical environment. More technical developments and clinical studies in a variety of hospitals are needed to overcome the current challenges and find ways to integrate this unique technology into hospitals now and in the future. Thus, we present a review that includes detailing all elements required for it to function, as well as both its advantages and disadvantages. To the best of our knowledge, very limited studies have collected an in- depth data on the sterilization effect using a disinfection robot in the field of dentistry. We believe that this data will work as a foundation in more advanced uses at diverse sites that require disinfection and will highlight unsolved challenges and potential research avenues for UV robot operational concerns in dental hospitals. The goal of this work is to offer a comprehensive manual for UV-D robots covering pertinent information on traditional Ultraviolet germicidal irradiation (UVGI) system along with advancements in UV-D robots and thereby focusing on in-depth application in medical and dental facilities.
ABSTRACT
BACKGROUND: Dental malocclusion is common all over the world, and it is caused by a difference in arch length and tooth size. This necessitates mixed dentition analysis for early intervention treatment planning such as eruption guiding, serial extraction, space maintainer, space regainer, and jaw extension. The aim of the study is to comparatively evaluate three different regression equation based mixed dentition analysis of children for prediction of the mesiodistal width of permanent canine and premolars in population of Vidarbha region. METHODS: This study comprised of 300 patients aged 13 to 16 years old. The impressions of patients were poured, and the mesiodistal width of their teeth was measured and documented. Three independent analyses were performed using the Ling and Wong method (L&W), the Bernabe and Flores-Mir method (B&F), and the Tanaka and Johnston method (T&J), and the results were compared to the sum of permanent canine and premolar teeth (SPCP). ANOVA with post hoc analysis was used to compare the predicted mesiodistal diameter (MDD) by analysis to the SPCP observed on cast. RESULTS: The mesiodistal width of SPCP of maxilla and mandibular teeth had statistically significant difference (P<0.001) with the predicted width by Ling and Wong method, Bernabe and Flores method and Tanaka and Johnston method for patients of Vidarbha region. CONCLUSIONS: The study concluded that all the three analysis overestimated the mesiodistal width of the sum of permanent canine and premolar in the patients. Tananka and Johnston analysis method was better in predicting the SPCP of the children of Vidarbha region.