Evidence map›Paper›PMID 33521608›Full record

ArticleEClinicalMedicine2021

Descriptive epidemiology of SARS-CoV-2 infection in Karnataka state, South India: Transmission dynamics of symptomatic vs. asymptomatic infections.

Narendra Kumar, Shafeeq K Shahul Hameed, Giridhara R Babu, Manjunatha M Venkataswamy, Prameela Dinesh, Prakash Kumar Bg, Daisy A John, Anita Desai, Vasanthapuram Ravi

Abstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

41 citing papers in PubMed.

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  12. Observational
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  14. Modelling the first wave of COVID-19 in India.PLoS computational biology · 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

9 authors.

Narendra KumarDepartment of Neurovirology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bengaluru 560029, India.
Shafeeq K Shahul HameedDepartment of Neurovirology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bengaluru 560029, India.
Giridhara R BabuIndian Institute of Public Health, Public Health Foundation of India, Bengaluru, India.
Manjunatha M VenkataswamyDepartment of Neurovirology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bengaluru 560029, India.
Prameela DineshState Surveillance Unit, Directorate of Health and Family Welfare, Government of Karnataka, India.
Prakash Kumar BgState Surveillance Unit, Directorate of Health and Family Welfare, Government of Karnataka, India.
Daisy A JohnIndian Institute of Public Health, Public Health Foundation of India, Bengaluru, India.
Anita DesaiDepartment of Neurovirology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bengaluru 560029, India.
Vasanthapuram RaviDepartment of Neurovirology, National Institute of Mental Health And Neuro Sciences (NIMHANS), Hosur Road, Bengaluru 560029, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe huge surge in COVID-19 cases in Karnataka state, India, during early phase of the pandemic especially following return of residents from other states and countries required investigation with respect to transmission dynamics, clinical status, demographics, comorbidities and mortality. Knowledge on the role of symptomatic and asymptomatic cases in transmission of SARS-CoV-2 was not available.

methodsThe study included all the cases reported from March 8 - May 31, 2020. Individuals with a history of international or domestic travel from high burden states, Influenza-like Illness or Severe Acute Respiratory Illness and high-risk contacts of COVID-19 cases were included. Detailed analysis based on contact tracing data available from the line-list of state surveillance unit was performed using cluster network analysis software.

findingsAmongst the 3404 COVID-19 positive cases, 3096 (91%) were asymptomatic while 308 (9%) were symptomatic. Majority of asymptomatic cases were in the age range of 16 and 45 years while symptomatic cases were between 31 and 65 years. Mortality rate was especially higher among middle-aged and elderly cases with co-morbidities, 34/38 (89·4%). Cluster network analysis of 822 cases indicated that the secondary attack rate, size of the cluster and superspreading events were higher when the source case was symptomatic as compared to an asymptomatic.

interpretationOur findings indicate that both asymptomatic and symptomatic SARS-CoV-2 cases transmit the infection, although symptomatic cases were the main driving force within the state during the beginning of the pandemic. Considering the large proportion of asymptomatic cases, their ability to spread infection cannot be overlooked. Notwithstanding the limitations and bias in identifying asymptomatic cases, the findings have major implications for testing policies. Active search, early testing and treatment of symptomatic elderly patients with comorbidities should be prioritized for containing the spread of COVID-19 and reducing mortality.

fundingIntermediate Fellowship, Wellcome Trust-DBT India Alliance to Giridhara R Babu, Grant number: IA/CPHI/14/1/501499.

Indexed as

COVID-19EpidemiologyKarnatakaSARS-CoV-2 virusSymptomatic vs asymptomatic

Identifiers

PMID33521608
PMCPMC7831811

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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.