Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states.

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Bibliographic Details
Title: Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states.
Authors: Rayguru C; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan. Electronic address: d610110001@tmu.edu.tw., Husnayain A; Department of Public Health, Monash University, Indonesia. Electronic address: Atina.Husnayain@monash.edu., Chiu HS; Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital Cancer Center, Houston, TX, USA. Electronic address: hchiu@bcm.edu., Sumazin P; Department of Pediatrics, Baylor College of Medicine, Texas Children's Hospital Cancer Center, Houston, TX, USA. Electronic address: sumazin@bcm.edu., Su EC; Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan; Institute of Biomedical Informatics, College of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address: emilysu@nycu.edu.tw.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Feb; Vol. 185, pp. 109493. Date of Electronic Publication: 2024 Dec 03.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2024.109493