Evidence map›Paper›PMID 34778507›Full record

ArticleSoftwareX2021

Covira: A COVID-19 risk assessment, visualization and communication tool.

Bhoj Raj Ghimire, Rishi Ram Parajuli, Bipin Khatiwada, Shobha Poudel, Kusum Sharma, Bhogendra Mishra

Abstract read
In one paragraph

Article in SoftwareX, 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

6 authors.

Bhoj Raj GhimireNepal Open University, Nepal.
Rishi Ram ParajuliScience Hub, Nepal.
Bipin KhatiwadaScience Hub, Nepal.
Shobha PoudelScience Hub, Nepal.
Kusum SharmaScience Hub, Nepal.
Bhogendra MishraScience Hub, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the possibility of Coronavirus infection and its risk on an individual's life, estimating the spatial transmission risk based on the dynamic condition of a particular place into consideration, and communicating the same to the public is crucial for minimizing the potential impact of COVID-19. With the increase in cases world-wide, new patterns are being unfolded. Nevertheless, an application for risk assessment will not only help the researcher to quickly verify the proof of concept but also is a powerful tool to bring into notice the results immediately as one of the perfect tools for risk communication. Covira (https://covira.info) is an open-source web-based software that captures the response, calculates personal as well as regional risk, and displays the result to the end-user in the form of maps and risk cards.

Indexed as

COVID-19CoviraPersonal riskRisk assessmentRisk communication toolSoftware

Identifiers

PMID34778507
PMCPMC8570635

What OpenQuestion holds

Textmetadata
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.