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Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Dec 02, 2024)

Date Submitted: Aug 7, 2023

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Developing digital learning to help reduce laboratory inequalities: a viral haemorrhagic fever case study

  • Matthew Andrew Knox; 
  • Collette Bromhead; 
  • Watta Anthony; 
  • Varney Kamara; 
  • Catherine Stevens; 
  • Fleur Connor-Douglas; 
  • David T. S. Hayman

ABSTRACT

Countries with the highest potential exposure to viral haemorrhagic fever viruses are also those with low expenditure on health services, limiting the capacity for surveillance and detection of these viruses, and effective treatment and outbreak containment. The COVID-19 pandemic further limited travel and in-person collaborative training opportunities for researchers, laboratory and public health professionals. Digital learning offers the prospect of addressing some of the shortfall in training needs. Here, we describe the development of laboratory training tools using effective digital learning methods. We describe the teaching methodology, list barriers to successful implementation and offer some potential solutions.


 Citation

Please cite as:

Knox MA, Bromhead C, Anthony W, Kamara V, Stevens C, Connor-Douglas F, Hayman DTS

Developing digital learning to help reduce laboratory inequalities: a viral haemorrhagic fever case study

JMIR Preprints. 07/08/2023:51639

DOI: 10.2196/preprints.51639

URL: https://preprints.jmir.org/preprint/51639

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