Evidence map›Paper›PMID 38638332›Full record

ArticleFrontiers in epidemiology2022

COVID-19 in India: Epidemiological reflections from initial 170 million consecutive test results.

Rohan Lohia, Prabudh Goel, Jasmine Kaur, Sujeet Kumar, Minu Bajpai, Harpreet Singh

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2022. 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, top 85% of its field
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, 0 citations in OpenAlex.

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 at 3 institutions in 2 countries.

Rohan LohiaClinton Health Access Initiative, New Delhi, India.
Prabudh GoelDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi, India.
Jasmine KaurDepartment of Biomedical Informatics, Indian Council of Medical Research (ICMR), New Delhi, India.
Sujeet KumarCentre for Proteomics and Drug Discovery, Amity Institute of Biotechnology, Amity University, Mumbai, India.
Minu BajpaiDepartment of Pediatric Surgery, All India Institute of Medical Sciences, New Delhi, India.
Harpreet SinghDepartment of Biomedical Informatics, Indian Council of Medical Research (ICMR), New Delhi, India.
All India Institute of Medical Sciences · INIndian Council of Medical Research · INClinton Health Access Initiative · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Indian Council of Medical Research (ICMR) played a crucial role in streamlining testing and diagnosis, formulating guidelines, and devising management strategies during the COVID-19 pandemic. Additionally, ICMR designed and developed a comprehensive data management tool for collecting testing data in a standardized format from all laboratories across the country. The current report is a retrospective analysis of the testing data generated by the ICMR. The study's main objectives are to understand the probability of a person testing negative based on their age after an initial positive test and to assess the varied impact and duration of the disease in people of different age groups and genders. Methods: Anonymized data on the testing for COVID were analyzed. The P-to-P is the longest time interval between two consecutive positive tests for a patient without any negative test in between the positives. P-to-P Results: India conducted 170,914,170 tests during the study-period (until December 29, 2020). After excluding invalid test results and duplicates, there were 11,101,603 (6.5%) positive and 156,542,352 (93.5%) negative test-results performed upon 150,086,257 unique individuals. A negative-report following a positive-test was available in 12.69%. Nearly three-fourths of the cases (78.29%) belonged to the working-age group (18-60 years). The proportion of patients >50 years old has risen from 26.06 to 35.03%, with a steep rise beyond September 2020. Gender-ratio among the positives was 1.73:1 which was neutral in neonates < 7-days (age). The gender ratio was skewed in-favor-of males in the initial months with a reverse trend thereafter and with increasing age of patients. The mean P-to-P, P-to-P Conclusions: The current study has highlighted some vital aspects of COVID-19 epidemiology in India. This study will add to the current understanding of the virus in the absence of pre- existing information on the novel virus and the disease per se.

Indexed as

agecoronavirus – COVID-19COVID positivityepidemiological reflectionsgenderpandemic (COVID-19)

Identifiers

PMID38638332
PMCPMC11025532
OpenAlexW4306761765

What OpenQuestion holds

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LicenceCC BY
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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.