Evidence map›Paper›PMID 34803220›Full record

ArticleRobotics and autonomous systems2022

An analysis of international use of robots for COVID-19.

Robin R Murphy, Vignesh B M Gandudi, Trisha Amin, Angela Clendenin, Jason Moats

Abstract read
In one paragraph

Article in Robotics and autonomous systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A Retrospective Analysis of Indoor COSensors (Basel, Switzerland) · 2024
    Article
  2. UV Disinfection Robots: A Review.Robotics and autonomous systems · 2023
    Article
  3. Article
  4. 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

5 authors.

Robin R MurphyDepartment of Computer Science & Engineering, Texas A&M University, College Station, TX 77843-3112, United States of America.
Vignesh B M GandudiDepartment of Computer Science & Engineering, Texas A&M University, College Station, TX 77843-3112, United States of America.
Trisha AminSchool of Public Health, Texas A&M University, College Station, TX 77843-3112, United States of America.
Angela ClendeninDepartment of Epidemiology, Biostatistics, Texas A&M University, College Station, TX 77843-3112, United States of America.
Jason MoatsTexas A&M Engineering Extension Service, College Station, TX 77843-3112, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article analyses data collected from press reports, social media, and the scientific literature on 338 instances of robots used explicitly in response to COVID-19 from 24 Jan, 2020, to 23 Jan, 2021, in 48 countries. The analysis was guided by four overarching questions: (1) What were robots used for in the COVID-19 response? (2) When were they used? (3) How did different countries innovate? and 4) Did having a national policy on robotics influence a country's innovation and insertion of robotics for COVID-19? The findings indicate that robots were used for six different sociotechnical work domains and 29 discrete use cases. When robots were used varied greatly on the country; although many countries did report an increase at the beginning of their first surge. To understand the findings of how innovation occurred, the data was examined through the lens of the technology's maturity according to NASA's Technical Readiness Assessment metrics. Through this lens, findings note that existing robots were used for more than 78% of the instances; slightly modified robots made up 10%; and truly novel robots or novel use cases constituted 12% of the instances. The findings clearly indicate that countries with a national robotics initiative were more likely to use robotics more often and for broader purposes. Finally, the dataset and analysis produces a broad set of implications that warrant further study and investigation. The results from this analysis are expected to be of value to the robotics and robotics policy community in preparing robots for rapid insertion into future disasters.

Indexed as

Disaster roboticsField roboticsMedical roboticsRobotics and societyUnmanned systems

Identifiers

PMID34803220
PMCPMC8591979

What OpenQuestion holds

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Registered trials

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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.