Evidence map›Paper›PMID 32287038›Full record

ArticleJMIR public health and surveillance2020

A Case for Participatory Disease Surveillance of the COVID-19 Pandemic in India.

Suneela Garg, Nidhi Bhatnagar, Navya Gangadharan

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  13. Tracking the COVID-19 outbreak in India through Twitter: Opportunities for social media based global pandemic surveillance.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2022
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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

3 authors.

Suneela Garg *Maulana Azad Medical College, Delhi University, Delhi, India.ORCID 0000-0002-2196-1607
Nidhi Bhatnagar *Maulana Azad Medical College, Delhi University, Delhi, India.ORCID 0000-0003-0024-194X
Navya Gangadharan *Maulana Azad Medical College, Delhi University, Delhi, India.ORCID 0000-0003-3892-544X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease pandemic requires the deployment of novel surveillance strategies to curtail further spread of the disease in the community. Participatory disease surveillance mechanisms have already been adopted in countries for the current pandemic. India, with scarce resources, good telecom support, and a not-so-robust heath care system, makes a strong case for introducing participatory disease surveillance for the prevention and control of the pandemic. India has just launched Aarogya Setu, which is a first-of-its-kind participatory disease surveillance initiative in India. This will supplement the existing Integrated Disease Surveillance Programme in India by finding missing cases and having faster aggregation, analysis of data, and prompt response measures. This newly created platform empowers communities with the right information and guidance, enabling protection from infection and reducing unnecessary contact with the overburdened health care system. However, caution needs to be exercised to address participation from digitally isolated populations, ensure the reliability of data, and consider ethical concerns such as maintaining individual privacy.

Indexed as

CoronavirusPublic Health SurveillanceBetacoronavirusCommunity-Based Participatory ResearchCoronavirus InfectionsCOVID-19Disease OutbreaksHumansIndiaPandemicsPneumonia, ViralPublic HealthSARS-CoV-2COVID-19Indiainfectious diseaseoutbreakpandemicparticipatorypublic healthsurveillance

Identifiers

PMID32287038
PMCPMC7164788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.