Your browser doesn't support javascript.
Development of the COVID-19 Real-Time Information System for Preparedness and Epidemic Response (CRISPER), Australia.
Field, Emma; Dyda, Amalie; Hewett, Michael; Weng, Haotian; Shi, Jingjing; Curtis, Stephanie; Law, Charlee; McHugh, Lisa; Sheel, Meru; Moore, Jess; Furuya-Kanamori, Luis; Pillai, Priyanka; Konings, Paul; Purcell, Michael; Stocks, Nigel; Williams, Graham; Lau, Colleen L.
  • Field E; National Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
  • Dyda A; Global and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
  • Hewett M; School of Public Health, University of Queensland, Herston, QLD, Australia.
  • Weng H; The National Centre for Geographic Resources & Analysis in Primary Health Care (GRAPHC), Research School of Population Health, Australian National University, Canberra, ACT, Australia.
  • Shi J; Software Innovation Institute, Australian National University, Canberra, ACT, Australia.
  • Curtis S; Software Innovation Institute, Australian National University, Canberra, ACT, Australia.
  • Law C; National Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
  • McHugh L; National Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
  • Sheel M; School of Public Health, University of Queensland, Herston, QLD, Australia.
  • Moore J; National Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
  • Furuya-Kanamori L; School of Computing, Australian National University, Canberra, ACT, Australia.
  • Pillai P; UQ Centre for Clinical Research, University of Queensland, Herston, QLD, Australia.
  • Konings P; Doherty Institute, Melbourne, VIC, Australia.
  • Purcell M; The National Centre for Geographic Resources & Analysis in Primary Health Care (GRAPHC), Research School of Population Health, Australian National University, Canberra, ACT, Australia.
  • Stocks N; Software Innovation Institute, Australian National University, Canberra, ACT, Australia.
  • Williams G; Discipline of General Practice, University of Adelaide, Adelaide, SA, Australia.
  • Lau CL; Australian Partnership for Preparedness Research on InfectiouS Disease Emergencies (APPRISE), The Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Front Public Health ; 9: 753493, 2021.
Article in English | MEDLINE | ID: covidwho-1551555
ABSTRACT
Accurate and current information has been highlighted across the globe as a critical requirement for the COVID-19 pandemic response. To address this need, many interactive dashboards providing a range of different information about COVID-19 have been developed. A similar tool in Australia containing current information about COVID-19 could assist general practitioners and public health responders in their pandemic response efforts. The COVID-19 Real-time Information System for Preparedness and Epidemic Response (CRISPER) has been developed to provide accurate and spatially explicit real-time information for COVID-19 cases, deaths, testing and contact tracing locations in Australia. Developed based on feedback from key users and stakeholders, the system comprises three main components (1) a data engine; (2) data visualization and interactive mapping tools; and (3) an automated alert system. This system provides integrated data from multiple sources in one platform which optimizes information sharing with public health responders, primary health care practitioners and the general public.
Subject(s)
Keywords
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Oceania Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.753493

Similar

MEDLINE
LILACS
LIS
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Oceania Language: English Journal: Front Public Health Year: 2021 Document Type: Article Affiliation country: Fpubh.2021.753493