Publications by authors named "R Jyothi R"
Objective: Asthma poses a significant health burden in South Asia, with increasing incidence and mortality despite a global decline in age-standardized prevalence rates. This study aims to analyze asthma trends from 1990 to 2021, focusing on prevalence, incidence, mortality, and disability-adjusted life years (DALYs) across South Asia. The study also assesses the impact of risk factors like high body mass index (BMI), smoking, and occupational exposures on asthma outcomes.
View Article and Find Full Text PDFBackground: The rapid rise of non-communicable diseases, particularly type 2 diabetes mellitus (T2DM), poses a significant global public health challenge, with South Asia experiencing an increasingly severe burden. This study aimed to analyse historical trends of T2DM across South Asia from 1990 to 2021 and forecast incidence through 2031.
Research Design And Methods: We carried out analysis based on the data from the 2021 Global burden of disease study.
Article Synopsis
- In Indian states, many public health programs are led by clinicians lacking formal leadership training, prompting Uttar Pradesh to launch a Public Health Management and Leadership program for mid-career medical officers to enhance their administrative skills.
- The training included essential skills such as leadership, communication, and problem-solving through in-person sessions and hands-on projects, with participant feedback measured via Kirkpatrick's model and statistical analyses showing notable but moderate improvements in learning outcomes.
- Despite high satisfaction with the program, participants struggled to apply management concepts due to contextual limitations and barriers like resource constraints and gender stereotypes, suggesting a need for additional training in finance and human resources.
Rosai-Dorfman disease (RDD) is a rare benign proliferative disorder. Lymph nodes are the usual and common sites of involvement. Involvement of the extranodal site is also documented in the literature.
View Article and Find Full Text PDFThe Model Reference Adaptive System (MRAS) is effective for speed control in sensorless Induction Motor (IM) drives, particularly at zero and very low speeds. This study enhances MRAS's resilience and dynamic performance by integrating an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller into sensorless vector-controlled IM drives. The research addresses challenges related to parameter uncertainties, load variations, and external disturbances through the combination of MRAS and ANFIS.
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