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      Ayurveda research: Emerging trends and mapping to sustainable development goals

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          Abstract

          Ayurveda is India's prominent traditional medical system. The World Health Organization has stated the need for more evidence and data from conventional medicine methods to inform policymakers, regulatory bodies, healthcare stakeholders, and the public about its safe, effective, and equitable use. This study aims to provide a comprehensive analysis of the emerging trends in Ayurveda research, mapping research to the UN Sustainable Development Goals (SDG) and examining the impact of COVID-19. Using bibliometric methods, the researchers analyzed a total of 11,773 publications between 1993 and 2022 to understand the temporal evolution of publications, open-access publications, patterns of author collaboration, top-performing countries, and co-citation networks. The keyword co-occurrence analysis identifies networks of concentrated studies on Ayurveda research themes relating to the four clusters, Alternative and Traditional Medicine, Bioactive Compounds and Biological Activities, Analytical Techniques and Herbal Standardization, and Herbal Medicines and Immunomodulation, reflecting the diverse research areas within Ayurveda. The last cluster included research related to the SARS-CoV-2 virus, suggesting research on herbal approaches to immune modulation in the context of COVID-19. The most prominent SDG among these research themes was Good Health and Well-being (SDG 3), emphasizing the potential of natural products and traditional medicine in promoting holistic health and combating antibiotic resistance.

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              Global, regional, and national causes of child mortality in 2000-13, with projections to inform post-2015 priorities: an updated systematic analysis.

              Trend data for causes of child death are crucial to inform priorities for improving child survival by and beyond 2015. We report child mortality by cause estimates in 2000-13, and cause-specific mortality scenarios to 2030 and 2035. We estimated the distributions of causes of child mortality separately for neonates and children aged 1-59 months. To generate cause-specific mortality fractions, we included new vital registration and verbal autopsy data. We used vital registration data in countries with adequate registration systems. We applied vital registration-based multicause models for countries with low under-5 mortality but inadequate vital registration, and updated verbal autopsy-based multicause models for high mortality countries. We used updated numbers of child deaths to derive numbers of deaths by causes. We applied two scenarios to derive cause-specific mortality in 2030 and 2035. Of the 6·3 million children who died before age 5 years in 2013, 51·8% (3·257 million) died of infectious causes and 44% (2·761 million) died in the neonatal period. The three leading causes are preterm birth complications (0·965 million [15·4%, uncertainty range (UR) 9·8-24·5]; UR 0·615-1·537 million), pneumonia (0·935 million [14·9%, 13·0-16·8]; 0·817-1·057 million), and intrapartum-related complications (0·662 million [10·5%, 6·7-16·8]; 0·421-1·054 million). Reductions in pneumonia, diarrhoea, and measles collectively were responsible for half of the 3·6 million fewer deaths recorded in 2013 versus 2000. Causes with the slowest progress were congenital, preterm, neonatal sepsis, injury, and other causes. If present trends continue, 4·4 million children younger than 5 years will still die in 2030. Furthermore, sub-Saharan Africa will have 33% of the births and 60% of the deaths in 2030, compared with 25% and 50% in 2013, respectively. Our projection results provide concrete examples of how the distribution of child causes of deaths could look in 15-20 years to inform priority setting in the post-2015 era. More evidence is needed about shifts in timing, causes, and places of under-5 deaths to inform child survival agendas by and beyond 2015, to end preventable child deaths in a generation, and to count and account for every newborn and every child. Bill & Melinda Gates Foundation. Copyright © 2015 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Journal
                J Ayurveda Integr Med
                J Ayurveda Integr Med
                Journal of Ayurveda and Integrative Medicine
                Elsevier
                0975-9476
                0976-2809
                11 October 2023
                Nov-Dec 2023
                11 October 2023
                : 14
                : 6
                : 100809
                Affiliations
                [a ]Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Amritapuri, Kerala, 690525, India
                [b ]Amrita Vishwa Vidyapeetham, Amrita School of Ayurveda, Amritapuri, Kerala, 690525, India
                [c ]Amrita Vishwa Vidyapeetham, Amrita School of Business, Amritapuri, Kerala, 690525, India
                [d ]Charité – Universitätsmedizin Charitépl. 1, 10117 Berlin, Germany
                [e ]Amrita Vishwa Vidyapeetham, Amrita School of Business, Amaravati, Andhra Pradesh, 522503, India
                Author notes
                []Corresponding author. raghu@ 123456amrita.edu
                Article
                S0975-9476(23)00125-0 100809
                10.1016/j.jaim.2023.100809
                10583085
                37832213
                79d52996-3bef-442e-b82d-511471482b55
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 7 December 2022
                : 26 July 2023
                : 12 September 2023
                Categories
                Original Research Article

                Complementary & Alternative medicine
                ayurveda,ethnomedicine,ethnopharmacology,bibliometrics,science mapping,covid-19,sustainable development

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