Rotulo Arianna, Kondilis Elias, Thwe Thaint, Gautam Sanju, Torcu Özgün, Vera-Montoya Maira, Marjan Sharika, Gazi Md Ismail, Putri Alifa Syamantha, Hasan Rubyath Binte, Mone Fabia Hannan, Rodríguez-Castillo Kenya, Tabassum Arifa, Parcharidi Zoi, Sharma Beverly, Islam Fahmida, Amoo Babatunde, Lemke Lea, Gallo Valentina
Department of Sustainable Health, Campus Fryslân, University of Groningen, Leeuwarden, The Netherlands.
School of Medicine, Aristoteles University, Thessaloniki, Greece.
PLOS Glob Public Health. 2023 Apr 21;3(4):e0001148. doi: 10.1371/journal.pgph.0001148. eCollection 2023.
Data transparency has played a key role in this pandemic. The aim of this paper is to map COVID-19 data availability and accessibility, and to rate their transparency and credibility in selected countries, by the source of information. This is used to identify knowledge gaps, and to analyse policy implications. The availability of a number of COVID-19 metrics (incidence, mortality, number of people tested, test positive rate, number of patients hospitalised, number of patients discharged, the proportion of population who received at least one vaccine, the proportion of population fully vaccinated) was ascertained from selected countries for the full population, and for few of stratification variables (age, sex, ethnicity, socio-economic status) and subgroups (residents in nursing homes, inmates, students, healthcare and social workers, and residents in refugee camps). Nine countries were included: Bangladesh, Indonesia, Iran, Nigeria, Turkey, Panama, Greece, the UK, and the Netherlands. All countries reported periodically most of COVID-19 metrics on the total population. Data were more frequently broken down by age, sex, and region than by ethnic group or socio-economic status. Data on COVID-19 is partially available for special groups. This exercise highlighted the importance of a transparent and detailed reporting of COVID-19 related variables. The more data is publicly available the more transparency, accountability, and democratisation of the research process is enabled, allowing a sound evidence-based analysis of the consequences of health policies.
数据透明度在这场疫情中发挥了关键作用。本文旨在根据信息来源，梳理新冠疫情数据的可得性与可获取性，并对选定国家的数据透明度和可信度进行评级。这用于识别知识缺口，并分析政策影响。从选定国家获取了一些新冠疫情指标（发病率、死亡率、检测人数、检测阳性率、住院患者人数、出院患者人数、至少接种一剂疫苗的人口比例、完全接种疫苗的人口比例）在全体人口中的数据，以及部分分层变量（年龄、性别、种族、社会经济地位）和亚组（养老院居民、囚犯、学生、医护人员和社会工作者、难民营居民）的数据。研究纳入了九个国家：孟加拉国、印度尼西亚、伊朗、尼日利亚、土耳其、巴拿马、希腊、英国和荷兰。所有国家都定期报告了大部分关于全体人口的新冠疫情指标。按年龄、性别和地区细分的数据比按种族或社会经济地位细分的数据更为常见。针对特殊群体的新冠疫情数据仅部分可得。这项工作凸显了对新冠疫情相关变量进行透明且详细报告的重要性。公开的数据越多，研究过程的透明度、问责制和民主化程度就越高，从而能够对卫生政策的后果进行合理的循证分析。
