Evidence map›Paper›PMID 35789672›Full record

ArticleGeoJournal2023

Spatial variation of covid-19 morbidity status and identification of risk zone in Tamil Nadu (India) during first wave.

V Saravanabavan, V Emayavaramban, V Thangamani, I K Manonmani, R S Suja Rose, D Balaji, R Rahamath Nisha, K Kannadasan, S Vinothkanna, C Vinothini

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeoJournal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

V SaravanabavanDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.ORCID 0000-0003-2501-2756
V EmayavarambanDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
V ThangamaniDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
I K ManonmaniDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
R S Suja RoseEnvironmental Remote Sensing and Cartography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
D BalajiDepartment of Geography, School of Earth Sciences, Bharthidasan University, Thiruchirappalli, Tamilnadu 620024 India.
R Rahamath NishaDepartment of Geography, Sri Madurai Meenakshi College for Women, Madurai, Tamilnadu 625002 India.
K KannadasanDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
S VinothkannaDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
C VinothiniDepartment of Geography, School of Earth and Atmospheric Sciences, Madurai Kamaraj University, Madurai, Tamilnadu 624021 India.
Madurai Kamaraj University · INBharathidasan University · INMadurai Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a pandemic disease caused by severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). The study area, Tamilnadu, is a southern state in India. The present study demonstrates the significance of mapping in identifying the risk zones of COVID-19 disease by taking a study of COVID-19 cases in Tamilnadu state. The main objective of the study was to identify the risk zone of COVID-19 disease in the first wave of Tamilnadu through geospatial mapping. Data on COVID-19 cases collected during March 2020 to March 2021 month wise in all 37 districts (unit area) of Tamilnadu in two-month interval wise was analysed. The study is based on secondary sources from respective office in Tamilnadu. Z-score techniques were used for standardizing data. Correlation analysis provided a measure of correlation between COVID-19 and working population. Location Quotient analysis aided the identification of COVID-19 risk zones in Tamilnadu. Present study indicates tertiary workers are more vulnerable to COVID-19 disease.

Indexed as

CorrelationCOVID-19GISLQ analysisRisk zoneTamil NaduTertiary workersZ score

Identifiers

PMID35789672
PMCPMC9243987
OpenAlexW4283661232

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.