Código QR (código de barras bidimensional)

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

Abstract Introduction Limited data are available on the epidemiology and clinical burden of respiratory syncytial virus (RSV) among adults with underlying medical or immunocompromising conditions (“high-risk adults”) and ≥ 50-year-old adults in developing countries. Methods To better understand the...

Fuld beskrivelse

Na minha lista:
Principais autores: Adriana Guzman-Holst, Digant Gupta, Amandeep Kaur, Vikas Verma, Arnas Berzanskis, Yolanda Penders, Désirée A. M. Van Oorschot
Format: Artigo
Sprog:Inglês
Udgivet: Adis, Springer Healthcare 2025-09-01
Serier:Infectious Diseases and Therapy
Fag:
Artificial intelligence
Epidemiology
Respiratory syncytial virus
Online adgang:https://doi.org/10.1007/s40121-025-01220-4
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker