Respiratory Syncytial Virus Epidemiology and Clinical Burden in High-Risk and ≥ 50-Year-Old Adults in Low- to Middle-Income Countries: An Artificial-Intelligence-Enabled Systematic Literature Review.

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Title: Respiratory Syncytial Virus Epidemiology and Clinical Burden in High-Risk and ≥ 50-Year-Old Adults in Low- to Middle-Income Countries: An Artificial-Intelligence-Enabled Systematic Literature Review.
Authors: Guzman-Holst, Adriana1 (AUTHOR) adriana.x.guzman@gsk.com, Gupta, Digant2 (AUTHOR), Kaur, Amandeep2 (AUTHOR), Verma, Vikas2 (AUTHOR), Berzanskis, Arnas3 (AUTHOR), Penders, Yolanda1 (AUTHOR), Van Oorschot, Désirée A. M.1 (AUTHOR)
Source: Infectious Diseases & Therapy. Oct2025, Vol. 14 Issue 10, p2405-2427. 23p.
Database: Academic Search Ultimate
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  Data: Respiratory Syncytial Virus Epidemiology and Clinical Burden in High-Risk and ≥ 50-Year-Old Adults in Low- to Middle-Income Countries: An Artificial-Intelligence-Enabled Systematic Literature Review.
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  Data: <searchLink fieldCode="JN" term="%22Infectious+Diseases+%26+Therapy%22">Infectious Diseases & Therapy</searchLink>. Oct2025, Vol. 14 Issue 10, p2405-2427. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188353782
RecordInfo BibRecord:
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        Value: 10.1007/s40121-025-01220-4
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: Respiratory Syncytial Virus Epidemiology and Clinical Burden in High-Risk and ≥ 50-Year-Old Adults in Low- to Middle-Income Countries: An Artificial-Intelligence-Enabled Systematic Literature Review.
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            NameFull: Verma, Vikas
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              Text: Oct2025
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              Y: 2025
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