Evidence map›Paper›PMID 33786027›Full record

ArticleJournal of public affairs2021

Living with the virus: Infection and epidemiology of COVID-19 in hotspot area of India.

Rajat Giri, Ashish Kumar, Monika Saini, Rakesh Kumar Sharma

Abstract read
In one paragraph

Article in Journal of public affairs, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

4 authors.

Rajat GiriDepartment of Biosciences Manipal University Jaipur Jaipur India.
Ashish KumarDepartment of Mathematics and Statistics Manipal University Jaipur Jaipur India.ORCID https://orcid.org/0000-0001-9749-9140
Monika SainiDepartment of Mathematics and Statistics Manipal University Jaipur Jaipur India.
Rakesh Kumar SharmaDepartment of Biosciences Manipal University Jaipur Jaipur India.ORCID https://orcid.org/0000-0002-2826-1291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) has been identified as a pandemic and affected almost whole world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of this disease, is infecting Indian population since the last week of January 2020. The data were collected from January 30, 2020, to May 23, 2020, to analyze basic trend of COVID-19 cases in India targeting hotspot regions. To find the linear relationship between variables, that is, age, total positive cases, population, and population density data have been statistically analyzed. COVID-19 caused more than 5000 deaths till May 2020 in India. SARS-CoV-2 spread to several Indian cities with more than 100,000 positive cases. Total number of COVID-19 cases and total recovered cases followed the exponential distribution, while number of deaths showed linear behavior. Nearly 50% of the youth, that is, 20-40 years of age had been found to recover from the infection. As a lockdown cannot be a permanent solution, it is important to understand the nature of virus and learn "living with the virus" while minimizing its spreading at the same time.

Indexed as

COVID‐19hotspot regionsIndiarecoverySARS‐CoV‐2

Identifiers

PMID33786027
PMCPMC7994984

What OpenQuestion holds

Textmetadata
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.