Spatial and Temporal Data Visualisation for Mass Dissemination: Advances in the Era of COVID-19

Author:

Clements Archie C. A.12

Affiliation:

1. Peninsula Medical School, University of Plymouth, Plymouth PL4 8AA, UK

2. Telethon Kids Institute, Nedlands, Perth, WA 6009, Australia

Abstract

The COVID-19 pandemic is the first major pandemic of the digital age and has been characterised by unprecedented public consumption of spatial and temporal disease data, which can enable greater transparency and accountability of governments to the public for their public health decisions. A variety of state and non-state actors have collated and presented maps, charts, and plots of data related to the pandemic in both static and dynamic formats. In particular, there has been a proliferation of online dashboards presenting data related to the pandemic. The sources and types of information displayed have evolved rapidly during the pandemic, with a general trend towards providing more specialised information pertinent to specific aspects of epidemiology or disease control, as opposed simply to disease and death notifications. Limited evaluation of the quality of COVID-19 data visualisation tools has been conducted and significant effort now needs to be spent on standardisation and quality improvement of national and international data visualisation systems including developing common indicators, data quality assurance mechanisms and visualisation approaches, and building compatible electronic systems for data collection and sharing. The increasing availability of disease data for public consumption presents challenges and opportunities for government, media organisations, academic research institutions, and the general public. A key challenge is ensuring consistency and effectiveness of public health messaging to ensure a coordinated response and public trust in intervention strategies. Capitalising on opportunities for greater government accountability for public health decision-making, and more effective mobilisation of public health interventions, is predicated on the provision of accurate and timely information.

Publisher

MDPI AG

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology

Reference33 articles.

1. Spatial analysis and GIS in the study of COVID-19. A review;Napoletano;Sci. Total Environ.,2020

2. Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data;Koch;Patterns,2021

3. Complex Reporting of the COVID-19 Epidemic in the Czech Republic: Use of an Interactive Web-Based App in Practice;Komenda;J. Med. Internet Res.,2020

4. Onemocnění Aktuálně (2023, April 11). COVID-19: Overview of Current Situation in the Czech Republic. Available online: https://onemocneni-aktualne.mzcr.cz/covid-19.

5. The US COVID Atlas: A dynamic cyberinfrastructure surveillance system for interactive exploration of the pandemic;Kolak;Trans. GIS,2021

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