Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia

Field, Emma; Dyda, Amalie; Hewett, Micheal; Weng, Haotian; Shi, Jingjing; Curtis, Stephanie J.; Law, Charlee; McHugh, Lisa; Sheel, Meru; Moore, Jess; Furuya‐Kanamori, Luis; Pillai, Priyanka; Konings, Paul; Purcell, Michael; Stocks, Nigel; Williams, Graham J.; Lau, Colleen L

doi:10.3389/fpubh.2021.753493

Cited by 5 publications

(12 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The studies that used a map-style representation (79/114) adopted different strategies: static geographic 2D or 3D maps [14,15,19,20,22,31,33,36,38,[42][43][44]50,75,81,83,88,93,102,104,107,109,117,118,123], dynamic 2D maps [20][21][22]25,61,65,80,85,89,90,94,97], or choropleth maps [17,23,24,27,30,32,34,35,37,40,46,48,49,52,…”

Section: Q2: Which Techniques Are Most Frequently Used To Visualize E...mentioning

confidence: 99%

Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review

Kim,

Cánovas-Segura,

Campos

et al. 2024

Technologies

View full text Add to dashboard Cite

In recent years, the proliferation of health data sources due to computer technologies has prompted the use of visualization techniques to tackle epidemiological challenges. However, existing reviews lack a specific focus on the spatial and temporal analysis of epidemiological data using visualization tools. This study aims to address this gap by conducting a scoping review following the PRISMA-ScR guidelines, examining the literature from 2000 to 2024 on spatial–temporal visualization techniques when applied to epidemics, across five databases: PubMed, IEEE Xplore, Scopus, Google Scholar, and ACM Digital Library until 24 January 2024. Among 1312 papers reviewed, 114 were selected, emphasizing aggregate measures, web platform tools, and geospatial data representation, particularly favoring choropleth maps and extended charts. Visualization techniques were predominantly utilized for real-time data presentation, trend analysis, and predictions. Evaluation methods, categorized into standard methodology, user experience, task efficiency, and accuracy, were observed. Although various open-access datasets were available, only a few were commonly used, mainly those related to COVID-19. This study sheds light on the current trends in visualizing epidemiological data over the past 24 years, highlighting the gaps in standardized evaluation methodologies and the limited exploration of individual epidemiological data and diseases acquired in hospitals during epidemics.

show abstract

Section: Q2: Which Techniques Are Most Frequently Used To Visualize E...mentioning

confidence: 99%

Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review

Kim,

Cánovas-Segura,

Campos

et al. 2024

Technologies

View full text Add to dashboard Cite

show abstract

“…A small number of dashboards provided more specialised or contextual information. As the pandemic has progressed, spatial visualisation platforms have become more diverse and specialised, ranging from aggregate mapping of cases to the mapping of exposure sites [ 14 ], population mobility [ 15 ], urban environmental suitability for social distancing [ 1 ], morgue capacity [ 16 ], risk of outbreaks for events of different sizes [ 17 ], and personal risk of infection [ 18 ]. Dashboards have also utilised simple analytical approaches to provide estimates of risk including automated alerts for locations of interest [ 14 ] and cluster detection [ 5 ].…”

Section: Platforms For Information Displaymentioning

confidence: 99%

“…As the pandemic has progressed, spatial visualisation platforms have become more diverse and specialised, ranging from aggregate mapping of cases to the mapping of exposure sites [ 14 ], population mobility [ 15 ], urban environmental suitability for social distancing [ 1 ], morgue capacity [ 16 ], risk of outbreaks for events of different sizes [ 17 ], and personal risk of infection [ 18 ]. Dashboards have also utilised simple analytical approaches to provide estimates of risk including automated alerts for locations of interest [ 14 ] and cluster detection [ 5 ]. Following the discovery and distribution of vaccines, dashboards increasingly focussed on presenting data related to vaccination rollout and coverage, with health system variables being added to online platforms that initially focused on presenting epidemiological information [ 19 ].…”

Section: Platforms For Information Displaymentioning

confidence: 99%

“…Several data scraping toolsets linked to public dashboards have been reported including the COVID-19 European Regional Tracker [ 12 ], CRISPER from Australia [ 14 ], and the COVID-Scraper, which presents spatiotemporal data from 58 countries [ 21 ]. The COVID-Scraper is an open-source toolset for the extraction, processing, storage, and dissemination of spatiotemporal data related to the COVID-19 pandemic.…”

Section: Sources Of Datamentioning

confidence: 99%

“…Privacy is an important consideration in identifying the most appropriate minimum level of data aggregation [ 3 ]. Various approaches have been proposed for maintaining data privacy in COVID-19 dashboards, with differential privacy mechanisms (whereby small amounts of variation are added to key variables to obscure identifying information) being one such approach [ 14 ].…”

Section: Access Control For Data Visualisation Platformsmentioning

confidence: 99%

See 2 more Smart Citations

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

Clements

2023

TropicalMed

View full text Add to dashboard Cite

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.

show abstract

A review of wastewater-based epidemiology for antimicrobial resistance surveillance

Clarke,

O’Brien,

Murray

et al. 2024

J Environ Expo Assess

View full text Add to dashboard Cite

Antimicrobial resistance (AMR) is recognized as one of the most serious threats to public health. Unparalleled population growth and accelerated rates of AMR emergence and dissemination have resulted in both novel resistance in pathogenic organisms and the re-appearance of infections that were formerly under control. Consequently, this has led to an increased quantity of infectious diseases. One of the main drivers of antimicrobial overuse is inappropriate prescribing in human and veterinary medicine. The ability to rapidly survey the spread of antimicrobial resistance within human populations is key for its prevention, intervention, and control. However, many constraints are present for current clinical surveillance systems and their capacity to determine AMR dynamics in the microbiome of healthy individuals as well as in clinical pathogens causing infections. Wastewater-based epidemiology (WBE) is an emergent technique that has the capacity to act as a supplementary measure for current infectious disease surveillance systems and as an early warning system for infectious disease outbreaks. The development of disease outbreaks to the community level can be monitored in real time through the analysis of population pooled wastewater. This review provides an introduction to using wastewater-based epidemiology to monitor AMR bacteria, as well as an overview of wastewater-based epidemiology and its components.

show abstract

Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia

Cited by 5 publications

References 10 publications

Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review

Visualization of Spatial–Temporal Epidemiological Data: A Scoping Review

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

A review of wastewater-based epidemiology for antimicrobial resistance surveillance

Contact Info

Product

Resources

About