There has been an explosion of data and research on COVID-19 globally, with many entities involved in its production, collection and synthesis, albeit with duplication. For decision-makers, it is difficult to track what knowledge is being created, by whom, and for whom.

The Living Hub of COVID-19 Knowledge Hubs is an effort to address this challenge by pulling together all the major sources of COVID-19-related knowledge into one platform. This one-stop shop can support knowledge users – such as health- and social-system decision-makers – to rapidly identify the most relevant hubs and their associated resources to guide their COVID-19 response. It can also help knowledge creators to avoid duplication and enhance coordination. COVID-19 knowledge hubs are broadly defined as any publicly available platform whose main area of focus is to collate and share relevant data, research and other types of evidence related to the COVID-19 pandemic.

The living hub of hubs was developed through a systematic process of identification, screening and coding of hubs that met pre-defined eligibility criteria. Of the 288 hubs that were originally identified, 213 hubs met our eligibility criteria. For each included hub, information is available about:

  • geographical scope and classification, the type of resources available in the hub (e.g., recommendations, evidence syntheses, single studies, and government responses), and type of organization;
  • broad sectors covered and key topics addressed, such as whether the hub measures the evolution and spread of the pandemic, discusses the general characteristics of the virus, or measures the likely impact of the pandemic, and explores any options to manage the spread of the pandemic;
  • frequency of updates, language, format and accessibility of the resources, and any quality assessments of the resources; and
  • whether resources have been requested by policymakers.

Note that the current search prototype may not work as well for some Mac users.

For even richer detail, review the full dataset.

A joint evidence-informed decision-making effort by: