Association between vaccination rates and COVID-19 health outcomes in the United States: a population-level statistical analysis

• Published in: BMC public health Vol. 24; no. 1; p. 220
• Main Authors: Du, Hongru, Saiyed, Samee, Gardner, Lauren M
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.01.2024; BioMed Central; BMC
• Subjects: Analysis; Care and treatment; Clinical trials; Cohort analysis; Comorbidity; Confounding (Statistics); COVID-19; COVID-19 - epidemiology; COVID-19 - prevention & control; COVID-19 vaccines; Critical components; Diagnosis; Disease control; Disease transmission; Expenditures; Fatalities; Government programs; Health care; Health policy; Herd immunity; Hospitalization; Humans; Infections; Medical care, Cost of; Mortality; mRNA vaccines; Outcome Assessment, Health Care; Pandemics; Population (statistical); Population-level; Public health; Public policy; Regression analysis; SARS-CoV-2; Severe acute respiratory syndrome coronavirus 2; Social factors; Statistical analysis; Surveillance; Time dependence; United States; United States - epidemiology; Vaccination; Vaccination rates; Vaccine efficacy; Vaccines; Variables; United States; United States > US; COVID-19; Statistical analysis; Population-level; United States; Vaccination rates

Population-level vaccine efficacy is a critical component of understanding COVID-19 risk, informing public health policy, and mitigating disease impacts. Unlike individual-level clinical trials, population-level analysis characterizes how well vaccines worked in the face of real-world challenges lik...