Kai Ding, Ozair H. Naqvi, R. Jackson Seeberger, Dale W. Bratzler, Aaron M. Wendelboe
{"title":"Spatiotemporal Ecologic Analysis of COVID-19 Vaccination Coverage and Outcomes, Oklahoma, USA, February 2020–December 2021","authors":"Kai Ding, Ozair H. Naqvi, R. Jackson Seeberger, Dale W. Bratzler, Aaron M. Wendelboe","doi":"10.3201/eid3011.231582","DOIUrl":null,"url":null,"abstract":"<p>Data on COVID-19 cases, deaths, hospitalizations, and vaccinations in Oklahoma, USA, have not been systematically described. The relationship between vaccination and COVID-19–related outcomes over time has not been investigated. We graphically described data collected during February 2020–December 2021 and conducted spatiotemporal modeling of monthly increases in COVID-19 cumulative death and hospitalization rates, adjusting for cumulative case rate, to explore the relationship. A 1 percentage point increase (absolute change) in the cumulative vaccination rate was associated with a 6.3% (95% CI 1.4%–10.9%) relative decrease in death outcome during April–June 2021, and a 1.9% (95% CI 1.1%–2.6%) relative decrease in death outcome and 1.1% (95% CI 0.5%–1.7%) relative decrease in hospitalization outcome during July–December 2021; the effect on hospitalizations was driven largely by data from urban counties. Our findings from Oklahoma suggest that increasing cumulative vaccination rates might reduce the increase in cumulative death and hospitalization rates from COVID-19. </p>","PeriodicalId":11595,"journal":{"name":"Emerging Infectious Diseases","volume":null,"pages":null},"PeriodicalIF":7.2000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerging Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3201/eid3011.231582","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Data on COVID-19 cases, deaths, hospitalizations, and vaccinations in Oklahoma, USA, have not been systematically described. The relationship between vaccination and COVID-19–related outcomes over time has not been investigated. We graphically described data collected during February 2020–December 2021 and conducted spatiotemporal modeling of monthly increases in COVID-19 cumulative death and hospitalization rates, adjusting for cumulative case rate, to explore the relationship. A 1 percentage point increase (absolute change) in the cumulative vaccination rate was associated with a 6.3% (95% CI 1.4%–10.9%) relative decrease in death outcome during April–June 2021, and a 1.9% (95% CI 1.1%–2.6%) relative decrease in death outcome and 1.1% (95% CI 0.5%–1.7%) relative decrease in hospitalization outcome during July–December 2021; the effect on hospitalizations was driven largely by data from urban counties. Our findings from Oklahoma suggest that increasing cumulative vaccination rates might reduce the increase in cumulative death and hospitalization rates from COVID-19.
期刊介绍:
Emerging Infectious Diseases is a monthly open access journal published by the Centers for Disease Control and Prevention. The primary goal of this peer-reviewed journal is to advance the global recognition of both new and reemerging infectious diseases, while also enhancing our understanding of the underlying factors that contribute to disease emergence, prevention, and elimination.
Targeted towards professionals in the field of infectious diseases and related sciences, the journal encourages diverse contributions from experts in academic research, industry, clinical practice, public health, as well as specialists in economics, social sciences, and other relevant disciplines. By fostering a collaborative approach, Emerging Infectious Diseases aims to facilitate interdisciplinary dialogue and address the multifaceted challenges posed by infectious diseases.