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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
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  Data: Forecasting diabetes and sepsis mortality trends using advanced time-series models in United States from 1999 to 2030.
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  Data: <searchLink fieldCode="AU" term="%22Volucke+G%22">Volucke G</searchLink>; Department of Cardiology, University Hospitals Plymouth NHS Trust, Plymouth, UK.<br /><searchLink fieldCode="AU" term="%22Ch'ng+BX%22">Ch'ng BX</searchLink>; South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK.<br /><searchLink fieldCode="AU" term="%22Ahmad+M%22">Ahmad M</searchLink>; Department of Medicine, The Rotherham NHS Foundation Trust, Rotherham, UK.<br /><searchLink fieldCode="AU" term="%22Hassnain+SMA%22">Hassnain SMA</searchLink>; Department of Medicine, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK.<br /><searchLink fieldCode="AU" term="%22Ahmed+T%22">Ahmed T</searchLink>; Department of Cardiology, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK.<br /><searchLink fieldCode="AU" term="%22Khan+KK%22">Khan KK</searchLink>; Emergency department, Northumbria NHS foundation Trust, Cramlington, UK.<br /><searchLink fieldCode="AU" term="%22Rahman+OU%22">Rahman OU</searchLink>; Department of Cardiology, Snadwell and West Birmingham NHS Trust, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22George+RR%22">George RR</searchLink>; Department of Cardiology, South Tyneside and Sunderland NHS Foundation Trust, Sunderland, UK.<br /><searchLink fieldCode="AU" term="%22Elhaj+M%22">Elhaj M</searchLink>; Acute Medicine Department, James Cook University Hospital, Middlesbrough, UK.<br /><searchLink fieldCode="AU" term="%22Gardezi+SA%22">Gardezi SA</searchLink>; Johns Hopkins Healthcare Aramco, Dhahran, Eastern Province Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Khan+MAW%22">Khan MAW</searchLink>; Sunderland Royal Hospital, Sunderland, UK.<br /><searchLink fieldCode="AU" term="%22Nashwan+AJ%22">Nashwan AJ</searchLink>; Nursing and Midwifery Research Department, Hamad Medical Corporation, Doha, Qatar.<br /><searchLink fieldCode="AU" term="%22Zulfiqar+E%22">Zulfiqar E</searchLink>; Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan.<br /><searchLink fieldCode="AU" term="%22Ahmed+M%22">Ahmed M</searchLink>; Department of Medicine, Rawalpindi Medical University, Rawalpindi, Pakistan.<br /><searchLink fieldCode="AU" term="%22Ahmed+R%22">Ahmed R</searchLink>; Academic Clinical Lecturer, Newcastle University, UK Sunderland University, Sunderland, UK.
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  Data: <searchLink fieldCode="JN" term="%22101590741%22">Journal of diabetes and metabolic disorders</searchLink> [J Diabetes Metab Disord] 2026 Mar 07; Vol. 25 (1), pp. 107. <i>Date of Electronic Publication: </i>2026 Mar 07 (<i>Print Publication: </i>2026).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International+Publishing%22">Springer International Publishing </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101590741 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2251-6581 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222516581%22">22516581 </searchLink><i>NLM ISO Abbreviation: </i>J Diabetes Metab Disord <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1007/s40200-026-01874-y
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        Text: English
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            – D: 07
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              Text: 2026 Mar 07
              Type: published
              Y: 2026
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