{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T15:56:38Z","timestamp":1774799798651,"version":"3.50.1"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Pers Commun"],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1007\/s11277-023-10751-3","type":"journal-article","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T13:01:49Z","timestamp":1697029309000},"page":"73-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Evaluating the Sustainable COVID-19 Vaccination Framework of India Using Recurrent Neural Networks"],"prefix":"10.1007","volume":"133","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0408-4072","authenticated-orcid":false,"given":"Anshul","family":"Gupta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunil K.","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brij B.","family":"Gupta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muskaan","family":"Chopra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shabeg Singh","family":"Gill","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,11]]},"reference":[{"key":"10751_CR1","unstructured":"Government, I. Coronavirus Cases in India. url=https:\/\/www.mygov.in\/covid-19; Retrieved from 21, December 2021. https:\/\/www.mygov.in\/covid-19"},{"key":"10751_CR2","unstructured":"Worldometer: Coronavirus Cases. Retrieved from 21, December 2021. https:\/\/www.worldometers.info\/coronavirus\/"},{"key":"10751_CR3","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/978-981-16-2877-1_24","volume-title":"Smart systems: Innovations in computing","author":"A Gupta","year":"2022","unstructured":"Gupta, A., Bansal, A., Mamgain, K., & Gupta, A. (2022). An exploratory analysis on the unfold of fake news during covid-19 pandemic. In A. K. Somani, A. Mundra, R. Doss, & S. Bhattacharya (Eds.), Smart systems: Innovations in computing (pp. 259\u2013272). Singapore: Springer."},{"key":"10751_CR4","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s41782-020-00097-2","volume":"4","author":"R Gupta","year":"2020","unstructured":"Gupta, R., Kumar, V. M., Tripathi, M., Datta, K., Narayana, M., Sarmah, K. R., Bhatia, M., Devnani, P., Das, S., Shrivastava, D., et al. (2020). Guidelines of the indian society for sleep research (ISSR) for practice of sleep medicine during covid-19. Sleep and Vigilance, Sleep and Vigilance, 4, 61\u201372.","journal-title":"Sleep and Vigilance, Sleep and Vigilance"},{"issue":"5","key":"10751_CR5","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1080\/20477724.2020.1778392","volume":"114","author":"SR Pandi-Perumal","year":"2020","unstructured":"Pandi-Perumal, S. R., Gulia, K. K., Gupta, D., & Kumar, V. M. (2020). Dealing with a pandemic: The kerala model of containment strategy for covid-19. Pathogens and Global Health, 114(5), 232\u2013233.","journal-title":"Pathogens and Global Health"},{"issue":"5","key":"10751_CR6","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1111\/psyg.12582","volume":"20","author":"KK Gulia","year":"2020","unstructured":"Gulia, K. K., & Kumar, V. M. (2020). Reverse quarantine in kerala: Managing the 2019 novel coronavirus in a state with a relatively large elderly population. Psychogeriatrics, 20(5), 794\u2013795.","journal-title":"Psychogeriatrics"},{"issue":"1","key":"10751_CR7","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s41782-020-00087-4","volume":"4","author":"KK Gulia","year":"2020","unstructured":"Gulia, K. K., & Kumar, V. M. (2020). Importance of sleep for health and wellbeing amidst covid-19 pandemic. Sleep Vigil, 4(1), 49\u201350.","journal-title":"Sleep Vigil"},{"issue":"2","key":"10751_CR8","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/s41782-020-00111-7","volume":"4","author":"DP Cardinali","year":"2020","unstructured":"Cardinali, D. P., Brown, G. M., Reiter, R. J., & Pandi-Perumal, S. R. (2020). Elderly as a high-risk group during covid-19 pandemic: Effect of circadian misalignment, sleep dysregulation and melatonin administration. Sleep and Vigilance, 4(2), 81\u201387.","journal-title":"Sleep and Vigilance"},{"issue":"1\u20132","key":"10751_CR9","doi-asserted-by":"publisher","first-page":"153","DOI":"10.4103\/ijmr.IJMR_3581_20","volume":"152","author":"I Gupta","year":"2020","unstructured":"Gupta, I., & Baru, R. (2020). Economics & ethics of the covid-19 vaccine: How prepared are we? The Indian Journal of Medical Research, 152(1\u20132), 153.","journal-title":"The Indian Journal of Medical Research"},{"key":"10751_CR10","doi-asserted-by":"publisher","first-page":"2570","DOI":"10.3389\/fimmu.2020.586781","volume":"11","author":"R Vignesh","year":"2020","unstructured":"Vignesh, R., Shankar, E. M., Velu, V., & Thyagarajan, S. P. (2020). Is herd immunity against sars-cov-2 a silver lining? Frontiers in Immunology, 11, 2570.","journal-title":"Frontiers in Immunology"},{"issue":"2","key":"10751_CR11","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/S1473-3099(20)30870-7","volume":"21","author":"N Bar-Zeev","year":"2021","unstructured":"Bar-Zeev, N., & Kochhar, S. (2021). Expecting the unexpected with covid-19 vaccines. The Lancet Infectious Diseases, 21(2), 150\u2013151. https:\/\/doi.org\/10.1016\/S1473-3099(20)30870-7","journal-title":"The Lancet Infectious Diseases"},{"issue":"2","key":"10751_CR12","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/S1473-3099(20)30843-4","volume":"21","author":"Y Zhang","year":"2021","unstructured":"Zhang, Y., Zeng, G., Pan, H., Li, C., Hu, Y., Chu, K., Han, W., Chen, Z., Tang, R., Yin, W., Chen, X., Hu, Y., Liu, X., Jiang, C., Li, J., Yang, M., Song, Y., Wang, X., Gao, Q., & Zhu, F. (2021). Safety, tolerability, and immunogenicity of an inactivated sars-cov-2 vaccine in healthy adults aged 18\u201359 years: A randomised, double-blind, placebo-controlled, phase 1\/2 clinical trial. The Lancet Infectious Diseases, 21(2), 181\u2013192. https:\/\/doi.org\/10.1016\/S1473-3099(20)30843-4","journal-title":"The Lancet Infectious Diseases"},{"issue":"10253","key":"10751_CR13","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1016\/S0140-6736(20)31821-3","volume":"396","author":"P Krause","year":"2020","unstructured":"Krause, P., Fleming, T. R., Longini, I., Henao-Restrepo, A. M., Peto, R., Dean, N., Halloran, M., Huang, Y., Fleming, T., & Gilbert, P. (2020). Covid-19 vaccine trials should seek worthwhile efficacy. The Lancet, 396(10253), 741\u2013743.","journal-title":"The Lancet"},{"issue":"40","key":"10751_CR14","doi-asserted-by":"publisher","first-page":"6194","DOI":"10.1016\/j.vaccine.2020.07.013","volume":"38","author":"S Kochhar","year":"2020","unstructured":"Kochhar, S., & Salmon, D. A. (2020). Planning for covid-19 vaccines safety surveillance. Vaccine, 38(40), 6194\u20136198.","journal-title":"Vaccine"},{"issue":"10","key":"10751_CR15","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1038\/d41573-020-00151-8","volume":"19","author":"TT Le","year":"2020","unstructured":"Le, T. T., Cramer, J. P., Chen, R., & Mayhew, S. (2020). Evolution of the covid-19 vaccine development landscape. Nature reviews. Drug Discovery, 19(10), 667\u2013668.","journal-title":"Drug Discovery"},{"key":"10751_CR16","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-7998-8413-2.ch004","author":"K Aggarwal","year":"2022","unstructured":"Aggarwal, K., Singh, S. K., Chopra, M., & Kumar, S. (2022). Role of social media in the COVID-19 pandemic: A literature review. Data mining approaches for big data and sentiment analysis in social media. https:\/\/doi.org\/10.4018\/978-1-7998-8413-2.ch004","journal-title":"Data mining approaches for big data and sentiment analysis in social media"},{"key":"10751_CR17","doi-asserted-by":"publisher","unstructured":"Health, M., Welfare, F. (2020). Covid-19 vaccine operational guidelines. In N. Delhi (Ed.), Ministry of Health and Family Welfare. Government of India. https:\/\/doi.org\/10.1016\/S1473-3099(20)30870-7","DOI":"10.1016\/S1473-3099(20)30870-7"},{"issue":"2","key":"10751_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.stae.2022.100012","volume":"1","author":"M Chopra","year":"2022","unstructured":"Chopra, M., Singh, S. K., Gupta, A., Aggarwal, K., Gupta, B. B., & Colace, F. (2022). Analysis & prognosis of sustainable development goals using big data-based approach during covid-19 pandemic (2022). Sustainable Technology and Entrepreneurship, 1(2), 100012. https:\/\/doi.org\/10.1016\/j.stae.2022.100012","journal-title":"Sustainable Technology and Entrepreneurship"},{"issue":"1s","key":"10751_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3421725","volume":"17","author":"MA Rahman","year":"2021","unstructured":"Rahman, M. A., Hossain, M. S., Alrajeh, N. A., & Gupta, B. B. (2021). A multimodal, multimedia point-of-care deep learning framework for COVID-19 diagnosis. ACM Transactions on Multimidia Computing Communications and Applications, 17(1s), 1\u201324. https:\/\/doi.org\/10.1145\/3421725","journal-title":"ACM Transactions on Multimidia Computing Communications and Applications"},{"key":"10751_CR20","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-7998-8413-2.ch004","author":"K Aggarwal","year":"2022","unstructured":"Aggarwal, K., Singh, S. K., Chopra, M., & Kumar, S. (2022). Role of social media in the COVID-19 pandemic. Data Mining Approaches for Big Data and Sentiment Analysis in Social Media. https:\/\/doi.org\/10.4018\/978-1-7998-8413-2.ch004","journal-title":"Data Mining Approaches for Big Data and Sentiment Analysis in Social Media"},{"key":"10751_CR21","volume-title":"Advances in Data Computing, Communication and Security.&nbsp; Lecture Notes on Data Engineering and Communications Technologies, vol 106.&nbsp; https:\/\/doi.org\/10.1007\/978-981-16-8403-6_20","author":"A Gupta","year":"2022","unstructured":"Gupta, A., Singh, S. K., & Chopra, M. (2022). An inquisitive prospect on the shift towards online form of digital media, before, during, and after the covid-19 pandemic: A technological analysis. In P. Verma, C. Charan, X. Fernando, & S. Ganesan (Eds.), Advances in data computing, communication and security. Springer.\u00a0","edition":"vol 106"},{"issue":"7","key":"10751_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0253925","volume":"16","author":"MR Davahli","year":"2021","unstructured":"Davahli, M. R., Karwowski, W., & Fiok, K. (2021). Optimizing covid-19 vaccine distribution across the united states using deterministic and stochastic recurrent neural networks. PLoS ONE, 16(7), 1\u201314. https:\/\/doi.org\/10.1371\/journal.pone.0253925","journal-title":"PLoS ONE"},{"key":"10751_CR23","doi-asserted-by":"publisher","unstructured":"Darapaneni, N., Jain, P., Khattar, R., Chawla, M., Vaish, R., & Paduri, A. R. (2020). Analysis and prediction of covid-19 pandemic in india. In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), pp. 291\u2013296 . https:\/\/doi.org\/10.1109\/ICACCCN51052.2020.9362817","DOI":"10.1109\/ICACCCN51052.2020.9362817"},{"key":"10751_CR24","doi-asserted-by":"publisher","unstructured":"Chopra, M., Singh, S.K., Aggarwal, K., & Gupta, A. (2022). Predicting catastrophic events using machine learning models for natural language processing. In Data Mining approaches for big data and sentiment analysis in social media. IGI Global. https:\/\/doi.org\/10.4018\/978-1-7998-8413-2.ch010.","DOI":"10.4018\/978-1-7998-8413-2.ch010"},{"issue":"21","key":"10751_CR25","doi-asserted-by":"publisher","first-page":"15694","DOI":"10.1109\/JIOT.2020.3047662","volume":"8","author":"M Masud","year":"2021","unstructured":"Masud, M., Gaba, G. S., Alqahtani, S., Muhammad, G., Gupta, B. B., Kumar, P., & Ghoneim, A. (2021). A lightweight and robust secure key establishment protocol for internet of medical things in covid-19 patients care. IEEE Internet of Things Journal, 8(21), 15694\u201315703. https:\/\/doi.org\/10.1109\/JIOT.2020.3047662","journal-title":"IEEE Internet of Things Journal"},{"key":"10751_CR26","unstructured":"India, C. url=https:\/\/data.covid19india.org\/; Retrieved from 20, July 2021. https:\/\/data.covid19india.org\/"},{"key":"10751_CR27","unstructured":"Ritchie, H., Mathieu, E., Rod\u00c3\u0192\u00c2\u00a9s-Guirao, L., Appel, C., Giattino, C., Ortiz-Ospina, E., Hasell, J., Macdonald, B., Beltekian, D. & Roser, M., Coronavirus pandemic (covid-19). Our World in Data (2020). https:\/\/ourworldindata.org\/coronavirus"},{"key":"10751_CR28","doi-asserted-by":"publisher","unstructured":"Yunpeng, L., Di, H., Junpeng, B., & Yong, Q (2017) Multi-step ahead time series forecasting for different data patterns based on lstm recurrent neural network. In: 2017 14th web information systems and applications conference (WISA), pp. 305\u2013310 . https:\/\/doi.org\/10.1109\/WISA.2017.25","DOI":"10.1109\/WISA.2017.25"},{"issue":"3","key":"10751_CR29","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1504\/IJHPCN.2019.102131","volume":"14","author":"W Zhong","year":"2019","unstructured":"Zhong, W., Zhuang, Y., Sun, J., & Gu, J. (2019). Load forecasting for cloud computing based on wavelet support vector machine. International Journal of High Performance Computing and Networking, 14(3), 315\u2013324. https:\/\/doi.org\/10.1504\/IJHPCN.2019.102131","journal-title":"International Journal of High Performance Computing and Networking"},{"key":"10751_CR30","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.physa.2018.11.061","volume":"519","author":"J Cao","year":"2019","unstructured":"Cao, J., Li, Z., & Li, J. (2019). Financial time series forecasting model based on ceemdan and lstm. Physica A: Statistical Mechanics and its Applications, 519, 127\u2013139. https:\/\/doi.org\/10.1016\/j.physa.2018.11.061","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"issue":"7","key":"10751_CR31","doi-asserted-by":"publisher","DOI":"10.1063\/5.0016240","volume":"30","author":"S Khajanchi","year":"2020","unstructured":"Khajanchi, S., & Sarkar, K. (2020). Forecasting the daily and cumulative number of cases for the COVID-19 pandemic in India. Chaos: An Interdisciplinary Journal of Nonlinear Science, 30(7), 071101. https:\/\/doi.org\/10.1063\/5.0016240","journal-title":"Chaos: An Interdisciplinary Journal of Nonlinear Science"},{"key":"10751_CR32","doi-asserted-by":"publisher","unstructured":"Alhirmizy, S., & Qader, B. (2019). Multivariate time series forecasting with lstm for madrid, spain pollution. In  2019 International Conference on Computing and Information Science and Technology and Their Applications (ICCISTA), pp. 1\u20135. https:\/\/doi.org\/10.1109\/ICCISTA.2019.8830667","DOI":"10.1109\/ICCISTA.2019.8830667"},{"key":"10751_CR33","doi-asserted-by":"publisher","DOI":"10.7287\/peerj.preprints.3190v2","author":"SJ Taylor","year":"2017","unstructured":"Taylor, S. J., & Letham, B. (2017). Forecasting at scale. The American Statisticia. https:\/\/doi.org\/10.7287\/peerj.preprints.3190v2","journal-title":"The American Statisticia"},{"issue":"2","key":"10751_CR34","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1002\/for.3980090203","volume":"9","author":"AC Harvey","year":"1990","unstructured":"Harvey, A. C., & Peters, S. (1990). Estimation procedures for structural time series models. Journal of Forecasting, 9(2), 89\u2013108. https:\/\/doi.org\/10.1002\/for.3980090203","journal-title":"Journal of Forecasting"},{"issue":"398","key":"10751_CR35","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1080\/01621459.1987.10478440","volume":"82","author":"T Hastie","year":"1987","unstructured":"Hastie, T., & Tibshirani, R. (1987). Generalized additive models: Some applications. Journal of the American Statistical Association, 82(398), 371\u2013386. https:\/\/doi.org\/10.1080\/01621459.1987.10478440","journal-title":"Journal of the American Statistical Association"},{"issue":"1","key":"10751_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/for.3980040103","volume":"4","author":"ES Gardner Jr","year":"1985","unstructured":"Gardner, E. S., Jr. (1985). Exponential smoothing: The state of the art. Journal of Forecasting, 4(1), 1\u201328. https:\/\/doi.org\/10.1002\/for.3980040103","journal-title":"Journal of Forecasting"},{"key":"10751_CR37","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1137\/0916069","volume":"16","author":"R Byrd","year":"1995","unstructured":"Byrd, R., Lu, P., Nocedal, J., & Zhu, C. (1995). A limited memory algorithm for bound constrained optimization. SIAM Journal of Scientific Computing, 16, 1190\u20131208. https:\/\/doi.org\/10.1137\/0916069","journal-title":"SIAM Journal of Scientific Computing"},{"issue":"4","key":"10751_CR38","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1016\/S0169-2070(00)00065-0","volume":"16","author":"LJ Tashman","year":"2000","unstructured":"Tashman, L. J. (2000). Out-of-sample tests of forecasting accuracy: An analysis and review. International Journal of Forecasting, 16(4), 437\u2013450.","journal-title":"International Journal of Forecasting"},{"issue":"3","key":"10751_CR39","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/j.ijforecast.2006.01.001","volume":"22","author":"JG De Gooijer","year":"2006","unstructured":"De Gooijer, J. G., & Hyndman, R. J. (2006). 25 years of time series forecasting. International Journal of Forecasting, 22(3), 443\u2013473. https:\/\/doi.org\/10.1016\/j.ijforecast.2006.01.001","journal-title":"International Journal of Forecasting"},{"key":"10751_CR40","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1016\/j.procs.2020.03.049","volume":"170","author":"A Moghar","year":"2020","unstructured":"Moghar, A., & Hamiche, M. (2020). Stock market prediction using lstm recurrent neural network. Procedia Computer Science, 170, 1168\u20131173. https:\/\/doi.org\/10.1016\/j.procs.2020.03.049","journal-title":"Procedia Computer Science"},{"key":"10751_CR41","doi-asserted-by":"crossref","unstructured":"Sak, H., Senior, A., & Beaufays, F. (2014). Long short-term memory recurrent neural network architectures for large scale acoustic modeling. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 338\u2013342","DOI":"10.21437\/Interspeech.2014-80"},{"key":"10751_CR42","unstructured":"Olah, C. Understanding LSTM Networks. Retrieved from 20, October 2021 (2015). http:\/\/colah.github.io\/posts\/2015-08-Understanding-LSTMs"},{"key":"10751_CR43","unstructured":"Application, C. W. (2021). Retrieved from 21, December, https:\/\/dashboard.cowin.gov.in\/"}],"container-title":["Wireless Personal Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10751-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11277-023-10751-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11277-023-10751-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T15:04:22Z","timestamp":1704294262000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11277-023-10751-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,11]]},"references-count":43,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["10751"],"URL":"https:\/\/doi.org\/10.1007\/s11277-023-10751-3","relation":{},"ISSN":["0929-6212","1572-834X"],"issn-type":[{"value":"0929-6212","type":"print"},{"value":"1572-834X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,11]]},"assertion":[{"value":"3 September 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 October 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there has not been any conflict amongst the authors in the work stated.External data that has been gathered during the course of this research is clearly stated in the article wherever required. The final datasets generated after cleaning are available from the corresponding author upon reasonable request.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}