Project Details

Description

Together with Mona Geoinformatics (MGI) and the Sir Arthur Lewis Institute of Social and Economic Studies (SALISES) at the University of West Indies Mona, Jamaica, this project looked at the potential for new technologies to inform people and support agencies in order to optimize resources available to treat and limit the spread of Covid-19 in Jamaica.

Layman's description

This research will support current efforts from Jamaican authorities to preempt and mitigate impacts of a potential large-scale COVID-19 outbreak. Together with Mona Geoinformatics (MGI) and the Sir Arthur Lewis Institute of Social and Economic Studies (SALISES) at the University of West Indies, Mona, Jamaica, it will investigate the potential for new technologies to inform people and support agencies, and to optimize resources available to treat and limit the spread of the virus in the country. In countries largely affected by the virus, there have been many initiatives to develop technological applications to mitigate its spread and impact . While some technologies had a positive impact, many have not been adopted and some generated controversies regarding efficacy and issues of privacy and consent. Furthermore, the direct translation of such technologies into developing countries can be problematic and potentially exacerbate vulnerabilities and inequalities.

This project will investigate social and cultural aspects involved in the adoption of risk-mitigating technologies, proposing guidelines and recommendations that will feed into the development of a pilot application to be codesigned with local groups and later trialled by our Jamaican partners. This project will be integrated into the current collaboration of MGI with Jamaican authorities to use computer models to identify groups that are most at risk, and provide advice on distribution of resources. The aim is to support the development of crisis-response technologies that can ensure individual and regional autonomy, particularly taking into account local practices, social constructs and values.

Key findings

The research lead to the following outputs:

1) Data modelling and repository available on GitLab: we have integrated existing data models for population vulnerability for different communities in Jamaica with epidemiological models for Covid-19, generating data sets that represent the impact of different behaviours and mitigation measures on the different communities in Jamaica.

The data is currently available on: https://git.ecdf.ed.ac.uk/design-informatics/covid19-caribbean/covid19-caribbean-model

2) Mobile application: the project allowed us to develop an initial mobile application that has been tested with different communities in Jamaica. The prototype is available at:

https://covid-aware-pwa-testing.web.app

3) Data resulting from testing: The application testing has led to insights that have been recorded and transcribed and will be translated into a publication, as well as guidelines for further development of the application.

4) Grant applications. We submitted one follow on grant application and have been preparing another one to be submitted in early 2021.

Short titleCovid Aware
StatusFinished
Effective start/end date20/04/2031/08/20