RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses.
Epidemics
; 39: 100569, 2022 06.
Article
em En
| MEDLINE
| ID: mdl-35597098
ABSTRACT
The effort for combating the COVID-19 pandemic around the world has resulted in a huge amount of data, e.g., from testing, contact tracing, modelling, treatment, vaccine trials, and more. In addition to numerous challenges in epidemiology, healthcare, biosciences, and social sciences, there has been an urgent need to develop and provide visualisation and visual analytics (VIS) capacities to support emergency responses under difficult operational conditions. In this paper, we report the experience of a group of VIS volunteers who have been working in a large research and development consortium and providing VIS support to various observational, analytical, model-developmental, and disseminative tasks. In particular, we describe our approaches to the challenges that we have encountered in requirements analysis, data acquisition, visual design, software design, system development, team organisation, and resource planning. By reflecting on our experience, we propose a set of recommendations as the first step towards a methodology for developing and providing rapid VIS capacities to support emergency responses.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
/
4_TD
Base de dados:
MEDLINE
Assunto principal:
COVID-19
Tipo de estudo:
Guideline
Limite:
Humans
Idioma:
En
Revista:
Epidemics
Ano de publicação:
2022
Tipo de documento:
Article