{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T10:02:50Z","timestamp":1789380170409,"version":"build-2803163510"},"reference-count":39,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T00:00:00Z","timestamp":1783555200000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aim<\/jats:title>\n                    <jats:p>The world witnessed COVID\u201019 in 2025 yet again, a resurgence driven by LF.7 and NB.1.8.1 subvariants of JN.1. With Singapore, Hong Kong and Thailand as the epicenter this time, these variants demonstrated rapid geographic spread and temporal dominance across regions including India, the United States (US), the United Kingdom (UK), and China. Genomic surveillance highlighted a sharp peak due to JN.1, followed by rising trends due to LF.7 and NB.1.8.1. Thus, a perspective was assumed aiming to get insights into the shifting epidemiological and transmission dynamics of COVID\u201019, and how recent advanced technologies like AI\u2010ML could play a key role in deciphering the mutation trends of the novel virus, global genomic surveillance and vaccine research and development.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Literature on recent global COVID cases was sourced online using reliable dedicated search engines. The limited available data from sources was used to get insights. Data were further analyzed, primarily stressing on the molecular\u2010level interplay within the virus and the host, possible technological interventions to know the infectivity and predict the transmission patterns, and the role of artificial intelligence and machine learning integration as solutions for vaccine designing to strategize community health.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>India recorded over 3900 active cases in the year 2025 till early June. Kerala and Maharashtra contributed the majority of the fresh cases. Most reported cases were clinically mild, but isolated severe outcomes were witnessed, particularly among the high\u2010risk subjects. Despite successful mass vaccination drives, recent transmission suggested a dynamic interplay of the waning immunity, adaptability of the subvariants, and altered public behavioral patterns.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Integrated AI\u2010ML tools greatly enhanced the real\u2010time response and resource planning through genome surveillance, predictive modeling, and outbreak predictions. In silico cutting\u2010edge technologies are useful tools facilitating rapid assessment of the spread and strengthening decision\u2010making in public healthcare. Designing AI\u2010assisted strategies and continued monitoring were vital to mitigate threats of infectious diseases in the future.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.72792","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T06:59:58Z","timestamp":1783666798000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Emerging Novel SARS\u2010CoV\u20102 Subvariants and the Advantages of AI\u2010ML in Deciphering the Mutation Trends, Genomic Surveillance and Vaccine Development"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5055-2518","authenticated-orcid":false,"given":"Aurobinda","family":"Rout","sequence":"first","affiliation":[{"name":"School of Applied Sciences Kalinga Institute of Industrial Technology (Deemed to be University) Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7523-9795","authenticated-orcid":false,"given":"Kumarjit","family":"Das","sequence":"additional","affiliation":[{"name":"School of Biotechnology Kalinga Institute of Industrial Technology (Deemed to be University) Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashish K.","family":"Sarangi","sequence":"additional","affiliation":[{"name":"Department of Chemistry, School of Applied Sciences Centurion University of Technology and Management  Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2139-0075","authenticated-orcid":false,"given":"Snehasish","family":"Mishra","sequence":"additional","affiliation":[{"name":"School of Biotechnology Kalinga Institute of Industrial Technology (Deemed to be University) Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2107-141X","authenticated-orcid":false,"given":"Chandana","family":"Mohanty","sequence":"additional","affiliation":[{"name":"School of Applied Sciences Kalinga Institute of Industrial Technology (Deemed to be University) Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1424-7648","authenticated-orcid":false,"given":"Puneet K.","family":"Singh","sequence":"additional","affiliation":[{"name":"School of Biotechnology Kalinga Institute of Industrial Technology (Deemed to be University) Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2442-3633","authenticated-orcid":false,"given":"Swikrutee","family":"Rout","sequence":"additional","affiliation":[{"name":"Microbiology Division IMS &amp; Sum Hospital Bhubaneswar Odisha India"},{"name":"School of Pharmaceutical Sciences Siksha \u2018O\u2019 Anusandhan Deemed to be University Bhubaneswar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7623-3343","authenticated-orcid":false,"given":"Ranjan K.","family":"Mohapatra","sequence":"additional","affiliation":[{"name":"Department of Chemistry Government College of Engineering Keonjhar Odisha India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8695-2384","authenticated-orcid":false,"given":"Lawrence Sena","family":"Tuglo","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Dietetics, School of Allied Health Sciences University of Health and Allied Sciences  Ghana"},{"name":"Infectious Disease Epidemiology Research Group, Kumasi Centre for Collaborative Research in Tropical Medicine Kwame Nkrumah University of Science and Technology Kumasi Ghana"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,9]]},"reference":[{"key":"e_1_2_16_2_1","unstructured":"World Health Organization \u201cCOVID\u201019\u2014Global Situation \u201d published May 28 2025 https:\/\/www.who.int\/emergencies\/disease-outbreak-news\/item\/2025-DON572."},{"key":"e_1_2_16_3_1","unstructured":"R. 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