Nirzar Kulkarni
Photoplethysmography (PPG) is a simple optical measurement technique used for blood pressure and heart rate monitoring. PPG signal and its derivative contain important health-related data which is used for the detection and diagnosis of cardiovascular diseases. High blood pressure is a cause for various physiological changes and leads to the cause of death throughout the world. Heart Rate Variability (HRV) is also an important factor for diagnosing cardiac disorders and to analysis the physiological conditions of human body. The growth of signal processing techniques, has opened the door for the development of cuff less and continuous monitoring of heart rate variability and blood pressure from the PPG signal. This article describes some of the current developments and challenges of PPG-based heart rate variability and blood pressure monitoring technologies.
Dhirajkumar Mane*, Satish V. Kakade and Jayant Pawar
DOI: DOI: 10.37421/2155-6180.2022.13.106
Every new day come up with different challenges in healthcare sector in developing country like us. So this review article tells us the role of meta-analysis in current healthcare share and current health problems dealing with ‘evidence based medicine practices’. This article is the combination of healthcare practices and meta-analysis in the field of medicine. Consideration of current trends and scenario demonstrates a consistently increase in use of meta-analysis especially in randomized controlled trials and interventional studies. Meta-analyses look for new information in existing data. Comparing the results of meta-analyses with subsequent findings from large-scale, well-conducted, randomized controlled trials (so-called RCT’s) is one way to assess the validity of this new knowledge. Such comparisons have yielded mixed findings thus far, with good agreement in the majority of cases but notable inconsistencies in others. One such exercise, for example, resulted in the publication of a paper titled "Lessons from a "successful, safe, simple intervention" that wasn't" misleading meta-analysis (use of metformin after diabetes mellitus). The inadequacies in meta-analyses that have been later challenged by data from RCT’s can often be discovered with the benefit of hindsight. So this article directly or indirectly helps to researchers to adopt new knowledge in Meta-analysis especially for current healthcare practice. We can’t separate them as healthcare and meta-analysis both are the two sides of a same coin.
Yenew Alemu Mihret
Background: The World Health Organization defines diarrhea as the passage of three or loose, or watery stools within a day or unusual frequency of diarrhea episodes. The goal of the study was to evaluate the prevalence and factors associated with diarrhea among children of age under-five in Ethiopia.
Methods: Association between outcome and independent variables was done using Pearson’s chi-square test. To control for possible confounding, binary logistic regression was applied and analyzed using Stata version 14. This was asystematic literature review. A systemic search of articles was done on PubMed, TRIP, EPPI COVID Living Map, Web of Science, and medRxiv databases until 2020 using the keywords “COVID-19”, “SARS-CoV-2”, “coronavirus”, “hydroxychloroquine”, and “mortality”. Relevant articles were chosen for further evaluation based on a review of their titles and abstracts. In vivo and in vitro studies were included assessing the safety and effectiveness of Azithromycin and 4-aminoquinline for treatment of COVID-19 pregnant mothers.
Results: Based on this study, the prevalence of diarrhea was 15.5% of children under the age of five. The expected value of the prevalence of diarrhea among under-five children from Amhara, Oromia, and Southern nations, nationalities, and people’s region was 0.47, 0.77 and 0.72 times lower than the occurrence of diarrhea among the ages of under-five children in Tigray, respectively, controlling for the other variables in the model. When we look at the source of drinking water, the odds of the prevalence of diarrhea among under-five children were 0.78 times lower than children taking protected water as compared to unprotected water. In addition, the odds of the prevalence of diarrhea among under-five children from a child's lives with others were 5.95 times higher than the prevalence of diarrhea for a child who lives with the respondents.
Conclusion: Region, child living with whom and source of water are the significant factor of the prevalence of diarrhea among under-five children.
Anirban Goswami*, Faiyaz Ahmad, Mumtaz Ahmad, Md Ishtiyaque Alam, Shabana Khatoon, Rajesh and Md Manzar Alam
DOI: 10.37421/2155-6180.2023.14.131
In this study to identify the disease patterns using statistical methods on data of schedule castes of Patna, Vaishali and Nalanda districts of Bihar. Using model based clustering technique; the study is designed to determine the patterns and hidden relationships in dataset. Clustering is a valuable exploratory tool for data analysis that extracts information from a data set and transforms it into an intelligible structure for further applications. The objective of this study to provide profiling of patients, determine dominant disease and dominant month segment. In this regard, clustering is used to profile patients according to their month attended in OPD. The Bayesian Information Criterion (BIC) used to find out the optimum numbers of clusters in a dataset. Using this, a number of clusters are formed on the basis of type of disease acquired by patients, demographic socioeconomic and other characteristics beside that the patients are divided into several clusters based on the diseases they have.
Journal of Biometrics & Biostatistics received 2835 citations as per Google Scholar report
