Forecasting diabetes and sepsis mortality trends using advanced time-series models in United States from 1999 to 2030.

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Title: Forecasting diabetes and sepsis mortality trends using advanced time-series models in United States from 1999 to 2030.
Authors: Volucke G; Department of Cardiology, University Hospitals Plymouth NHS Trust, Plymouth, UK., Ch'ng BX; South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK., Ahmad M; Department of Medicine, The Rotherham NHS Foundation Trust, Rotherham, UK., Hassnain SMA; Department of Medicine, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK., Ahmed T; Department of Cardiology, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK., Khan KK; Emergency department, Northumbria NHS foundation Trust, Cramlington, UK., Rahman OU; Department of Cardiology, Snadwell and West Birmingham NHS Trust, Birmingham, UK., George RR; Department of Cardiology, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK., Elhaj M; Acute Medicine Department, James Cook University Hospital, Middlesbrough, UK., Gardezi SA; Johns Hopkins Healthcare Aramco, Dhahran, Eastern Province Saudi Arabia., Khan MAW; Sunderland Royal Hospital, Sunderland, UK., Nashwan AJ; Nursing and Midwifery Research Department, Hamad Medical Corporation, Doha, Qatar., Zulfiqar E; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan., Ahmed M; Department of Medicine, Rawalpindi Medical University, Rawalpindi, Pakistan., Ahmed R; Academic Clinical Lecturer, Newcastle University, UK Sunderland University, Sunderland, UK.
Source: Journal of diabetes and metabolic disorders [J Diabetes Metab Disord] 2026 Mar 07; Vol. 25 (1), pp. 107. Date of Electronic Publication: 2026 Mar 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101590741 Publication Model: eCollection Cited Medium: Print ISSN: 2251-6581 (Print) Linking ISSN: 22516581 NLM ISO Abbreviation: J Diabetes Metab Disord Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2251-6581
DOI:10.1007/s40200-026-01874-y