Evidence map›Paper›PMID 33882602›Full record

ArticleYearbook of medical informatics2021

Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic.

Shinji Kobayashi, Luis Falcón, Hamish Fraser, Jørn Braa, Pamod Amarakoon, Alvin Marcelo, Chris Paton

Abstract read
In one paragraph

Article in Yearbook of medical informatics, 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

7 authors.

Shinji KobayashiNational Institute of Public Health, Saitama, Japan.
Luis FalcónGNU Solidario, GNU Health, Las Palmas de Gran Canaria, Spain.
Hamish FraserBrown Center for Biomedical Informatics, Brown University, Providence, USA.
Jørn BraaUniversity of Oslo, Oslo, Norway.
Pamod AmarakoonUniversity of Colombo, Colombo, Sri Lanka.
Alvin MarceloAsia eHealth Information Network, Manilla, Philippines.
Chris PatonNuffield Department of Medicine, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe emerging COVID-19 pandemic has caused one of the world's worst health disasters compounded by social confusion with misinformation, the so-called "Infodemic". In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic.

methodsIn response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic.

resultsFLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic.

conclusionFLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

Indexed as

COVID-19Information DisseminationSoftwareAccess to InformationHealth Information ExchangeHumans

Identifiers

PMID33882602
PMCPMC8416191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.