Evidence map›Paper›PMID 35136789›Full record

ArticleJournal of family medicine and primary care2021

Spatial mapping and socio-demographic determinants of COVID-19 mortality in India.

Ashish W Khobragade, Dilip D Kadam

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Ashish W KhobragadeDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India.
Dilip D KadamDepartment of Community Medicine, Seth G.S. Medical College, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is caused by SARS-CoV-2. The first case of COVID-19 was detected in Wuhan city of China in December 2019. Geographic information system (GIS) mapping is important for the surveillance of infectious diseases.

objectivesThe objectives of the study are to map spatially total cases and case fatality rate of COVID-19 and to build a linear regression model for mortality based on socio-demographic variables. METHOLOGY: We plotted the epidemiological data of COVID-19 of Indian states as on 11

resultsAdjusted R-squared in linear regression model based on socio-demographic variables for COVID-19 deaths is 0.82.

conclusionsThere are spatial variations in COVID-19 cases and deaths.

Indexed as

COVID-19GISmortalityregressionsocio-demographicspatial

Identifiers

PMID35136789
PMCPMC8797067

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.