Evidence map›Paper›PMID 34858930›Full record

ArticleFrontiers in public health2021

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

Emma Field, Amalie Dyda, Michael Hewett, Haotian Weng, Jingjing Shi, Stephanie Curtis, Charlee Law, Lisa McHugh, Meru Sheel, Jess Moore and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Emma FieldNational Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Amalie DydaSchool of Public Health, University of Queensland, Herston, QLD, Australia.
Michael HewettThe National Centre for Geographic Resources & Analysis in Primary Health Care (GRAPHC), Research School of Population Health, Australian National University, Canberra, ACT, Australia.
Haotian WengSoftware Innovation Institute, Australian National University, Canberra, ACT, Australia.
Jingjing ShiSoftware Innovation Institute, Australian National University, Canberra, ACT, Australia.
Stephanie CurtisNational Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Charlee LawNational Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Lisa McHughSchool of Public Health, University of Queensland, Herston, QLD, Australia.
Meru SheelNational Centre for Epidemiology and Population Health, Research School of Population Health, ANU College of Health and Medicine, Australian National University, Canberra, ACT, Australia.
Jess MooreSchool of Computing, Australian National University, Canberra, ACT, Australia.
Luis Furuya-KanamoriUQ Centre for Clinical Research, University of Queensland, Herston, QLD, Australia.
Priyanka PillaiDoherty Institute, Melbourne, VIC, Australia.
Paul KoningsThe National Centre for Geographic Resources & Analysis in Primary Health Care (GRAPHC), Research School of Population Health, Australian National University, Canberra, ACT, Australia.
Michael PurcellSoftware Innovation Institute, Australian National University, Canberra, ACT, Australia.
Nigel StocksDiscipline of General Practice, University of Adelaide, Adelaide, SA, Australia.
Graham WilliamsSoftware Innovation Institute, Australian National University, Canberra, ACT, Australia.
Colleen L LauSchool of Public Health, University of Queensland, Herston, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19PandemicsAustraliaHumansInformation SystemsSARS-CoV-2data visualizationepidemicsinfectious diseaseinformation managementinformation sources

Identifiers

PMID34858930
PMCPMC8631999

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.