Evidence map›Paper›PMID 34447515›Full record

ReviewInternational journal of preventive medicine2021

Hacking Covid-19 with Technology.

Bhavna Jain, Atif Khan, Neha Verma, Yogesh Bahurupi, Mahendra Singh, Pradeep Aggarwal

Abstract readReview
In one paragraph

Review in International journal of preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Bhavna JainDepartment of Anaesthesia, AIIMS, Rishikesh, Uttarakhand, India.
Atif KhanDepartment of Anaesthesia, AIIMS, Rishikesh, Uttarakhand, India.
Neha VermaDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Yogesh BahurupiDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Mahendra SinghDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.
Pradeep AggarwalDepartment of Community and Family Medicine, AIIMS, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development, implementation and advancement of technology solutions aimed at combating the COVID-19 outbreak are rapidly taking shape in India. Governments, Venture Capitalists, Academic Institutions, Incubators, Start-ups, and businesses large and small are all doing their part to deploy new innovative solutions as quickly as possible. Various databases were searched to look for different advancements in technology during the current coronavirus pandemic. It is seen that on one end nonpharmacological measure (social distancing, self-isolation, clean hands, and face masks) are time-tested and low-tech ways to help mitigate the viral spread. On the other end, Science and technology sector constituting of data science, machine learning, rapid diagnostic tests, mobile-first telehealth and computational simulation systems for drug development, artificial intelligence, virtual collaboration, and data tracking are complex ways of using the technology that have strengthened our pandemic response.

Indexed as

COVID-19Indiapandemicstechnology

Identifiers

PMID34447515
PMCPMC8356975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.