The background occurrence of selected clinical conditions prior to the start of an extensive national vaccination program in Japan

Author:

Sobue Tomotaka,Fukuda Haruhisa,Matsumoto Tetsuya,Lee Bennett,Ito ShuheiORCID,Iwata Satoshi

Abstract

Introduction The COVID-19 pandemic caused by SARS-CoV-2 has now affected tens of millions of people globally. It is the hope that vaccines against SARS-CoV-2 will deliver a comprehensive solution to this global pandemic; however, this will require extensive national vaccination programs. Ultimately, clinical conditions and even sudden unexplained death will occur around the time of vaccination, thus a distinction needs to be made between events that are causally related to the vaccine or temporally related to vaccination. This study aimed to estimate the background occurrence of 43 clinical conditions in the Japanese population. Methods A retrospective cohort study was conducted from 2013 to 2019 using data from two large healthcare claims databases (MDV and JMDC) in Japan. The estimated number of new cases and incidence were calculated based on the actual number of new cases identified in the databases. The PubMed and Ichushi-web databases, as well as grey literature such as guidelines and government statistics, were also searched to identify any publications related to incidence of these conditions in Japan. Results and conclusion The estimates of the number of total cases and incidence were similar for the MDV and JMDC databases for some diseases. In addition, some estimates were similar to those in the scientific literature. For example, from the MDV and JMDC databases, estimates of incidence of confirmed Bell’s palsy in 2019 were 41.7 and 47.9 cases per 100,000 population per year, respectively. These estimates were of the same order from the scientific publication. Determining whether clinical conditions occurring around the time of vaccination are causally or only temporally related to vaccination will be critical for public health decision makers as well as for the general public. Comparison of background occurrence at the population level may provide some additional objective evidence for the evaluation of temporality or causality.

Funder

Pfizer Japan

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference53 articles.

1. World Health Organization | Timeline: WHO’s COVID-19 response [27th Jan 2021]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/interactive-timeline#!%20%20Timeline%20of%20WHO%E2%80%99s%20response%20to%20pandemic%20from%2031December%202019_31%20Dec%202019%20Key%20action.

2. World Health Organization | Coronavirus disease (COVID-19) pandemic [30th June 2021]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019.

3. Vaccine Efficacy Needed for a COVID-19 Coronavirus Vaccine to Prevent or Stop an Epidemic as the Sole Intervention;SM Bartsch;Am J Prev Med,2020

4. Planning for a COVID-19 Vaccination Program;S Schaffer DeRoo;JAMA,2020

5. Vaccination greatly reduces disease, disability, death and inequity worldwide;FE Andre;Bull World Health Organ,2008

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3