Mind the gap: Data availability, accessibility, transparency, and credibility during the COVID-19 pandemic, an international comparative appraisal.
Arianna RotuloElias KondilisThaint ThweSanju GautamÖzgün TorcuMaira Vera-MontoyaSharika MarjanMd Ismail GaziAlifa Syamantha PutriRubyath Binte HasanFabia Hannan MoneKenya Rodríguez-CastilloArifa TabassumZoi ParcharidiBeverly SharmaFahmida IslamBabatunde Abiodun AmooLea LemkeValentina GalloPublished in: PLOS global public health (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.
Keyphrases
- coronavirus disease
- sars cov
- healthcare
- electronic health record
- public health
- big data
- end stage renal disease
- newly diagnosed
- risk factors
- ejection fraction
- data analysis
- mental health
- emergency department
- coronary artery disease
- high intensity
- chronic kidney disease
- body composition
- cardiovascular disease
- health information
- machine learning
- physical activity
- adverse drug