Evidence map›Paper›PMID 33154136›Full record

ArticleScience (New York, N.Y.)2020

Epidemiology and transmission dynamics of COVID-19 in two Indian states.

Ramanan Laxminarayan, Brian Wahl, Shankar Reddy Dudala, K Gopal, Chandra Mohan B, S Neelima, K S Jawahar Reddy, J Radhakrishnan, Joseph A Lewnard

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 269 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
269citing papers in PubMed, 8 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

269 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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209 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ramanan LaxminarayanCenter for Disease Dynamics, Economics and Policy, New Delhi, India.ORCID 0000-0002-1390-9016
Brian WahlDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Shankar Reddy DudalaDepartment of Community Medicine, Government Medical College, Kadapa, Andhra Pradesh, India.ORCID 0000-0003-0202-8798
K GopalAnimal Husbandry, Dairying and Fisheries Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
Chandra Mohan BBackward Classes, Most Backward Classes, and Minorities Welfare Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.ORCID 0000-0002-9236-093X
S NeelimaDepartment of Community Medicine, Guntur Medical College, Guntur, Andhra Pradesh, India.ORCID 0000-0003-2442-3780
K S Jawahar ReddyDepartment of Health, Family Welfare, and Medical Education, Government of Andhra Pradesh, Amaravati, Andhra Pradesh, India.ORCID 0000-0002-5565-5894
J RadhakrishnanHealth and Family Welfare Department, Government of Tamil Nadu, Chennai, Tamil Nadu, India.
Joseph A LewnardDivision of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA. jlewnard@berkeley.edu.ORCID 0000-0002-8505-8839

Funding

Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI JOSHUA R. GOLDSTEIN · 2019 to 2026
$2.9M
NICHD NIH HHS P2C HD073964
6 · The paper itself

Abstract

Although most cases of coronavirus disease 2019 (COVID-19) have occurred in low-resource countries, little is known about the epidemiology of the disease in such contexts. Data from the Indian states of Tamil Nadu and Andhra Pradesh provide a detailed view into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission pathways and mortality in a high-incidence setting. Reported cases and deaths have been concentrated in younger cohorts than would be expected from observations in higher-income countries, even after accounting for demographic differences across settings. Among 575,071 individuals exposed to 84,965 confirmed cases, infection probabilities ranged from 4.7 to 10.7% for low-risk and high-risk contact types, respectively. Same-age contacts were associated with the greatest infection risk. Case fatality ratios spanned 0.05% at ages of 5 to 17 years to 16.6% at ages of 85 years or more. Primary data from low-resource countries are urgently needed to guide control measures.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionBetacoronavirusChildChild, PreschoolContact TracingCoronavirus InfectionsCOVID-19FemaleHumansIncidenceIndiaInfant

Identifiers

PMID33154136
PMCPMC7857399

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.