Mind the gap: Data availability, accessibility, transparency, and credibility during the COVID-19 pandemic, an international comparative appraisal

Arianna Rotulo, Elias Kondilis, Thaint Thwe, Sanju Gautam, Özgün Torcu, Maira Vera-Montoya, Sharika Marjan, Md Ismail Gazi, Alifa Syamantha Putri, Rubyath Binte Hasan, Fabia Hannan Mone, Kenya Rodríguez-Castillo, Arifa Tabassum, Zoi Parcharidi, Beverly Sharma, Fahmida Islam, Babatunde Amoo, Lea Lemke, Valentina Gallo

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
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Abstract

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.

Original languageEnglish
Article numbere0001148
JournalPLoS Global Public Health
Volume3
Issue number4
DOIs
Publication statusPublished - 21-Apr-2023

Keywords

  • COVID

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