Evidence map›Paper›PMID 34574591›Full record

ArticleInternational journal of environmental research and public health2021

Digital Citizen Science for Responding to COVID-19 Crisis: Experiences from Iran.

Hossein Vahidi, Mohammad Taleai, Wanglin Yan, Rajib Shaw

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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

4 authors.

Hossein VahidiEcoGIS Lab, Graduate School of Media and Governance, Keio University, Fujisawa 252-0882, Kanagawa, Japan.ORCID 0000-0003-2781-3792
Mohammad TaleaiSpatial Decision Making & Smart Cities Lab, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran 15433-19967, Iran.ORCID 0000-0002-8419-4425
Wanglin YanEcoGIS Lab, Graduate School of Media and Governance, Keio University, Fujisawa 252-0882, Kanagawa, Japan.ORCID 0000-0001-9520-779X
Rajib ShawGlobal Resilience Innovation Laboratory, Graduate School of Media and Governance, Keio University, Fujisawa 252-0882, Kanagawa, Japan.ORCID 0000-0003-3153-1800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic has so far been the most severe global public health emergency in this century. Generally, citizen science can provide a complement to authoritative scientific practices for responding to this highly complex biological threat and its adverse consequences. Several citizen science projects have been designed and operationalized for responding to COVID-19 in Iran since the infection began. However, these projects have mostly been overlooked in the existing literature on citizen science. This research sheds light on the most significant online citizen science projects to respond to the COVID-19 crisis in Iran. Furthermore, it highlights some of the opportunities and challenges associated with the strengths and weaknesses of these projects. Moreover, this study captures and discusses some considerable insights and lessons learned from the failures and successes of these projects and provides solutions to overcome some recognized challenges and weaknesses of these projects. The outcomes of this synthesis provide potentially helpful directions for current and future citizen science projects-particularly those aiming to respond to biological disasters such as the COVID-19 pandemic.

Indexed as

Citizen ScienceCOVID-19HumansIranPandemicsSARS-CoV-2citizen sciencecoronavirus disease 2019 (COVID-19)crowdsourcingdigital contact tracingemergency managementmobile health (mHealth)public health monitoringpublic health promotionuser-generated content (UGC)volunteered geographic information (VGI)

Identifiers

PMID34574591
PMCPMC8472744

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.