Evidence map›Paper›PMID 36699101›Full record

ArticleMedicine international

Assessment of fear among the general public of Kerala, India, following a surge of COVID-19 cases.

Beena Thazhackavayal Baby, Asha Anichuvattil Vilson, Jesil Mathew Aranjani, Safeeda Eespintakath, Arsha Peruvanthara Sudheer, Sam Thomarayil Mathew, Vipin Nair, Sindhu Puthenpurakkal Joseph

Abstract read
In one paragraph

Article in Medicine international. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Beena Thazhackavayal BabyDepartment of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Science, Manipal Academy of Higher Education, Udupi, Karnataka 576104, India.
Asha Anichuvattil VilsonSt. Theresa's College of Nursing, St. Theresa's Hospital, Bangalore, Karnataka 560010, India.
Jesil Mathew AranjaniDepartment of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Science, Manipal Academy of Higher Education, Udupi, Karnataka 576104, India.
Safeeda EespintakathCentre for Professional and Advanced Studies, Mahathma Gandhi University, Kottayam, Kerala 686008, India.
Arsha Peruvanthara SudheerCentre for Professional and Advanced Studies, Mahathma Gandhi University, Kottayam, Kerala 686008, India.
Sam Thomarayil MathewIndependent Medical Communications Expert, Bangalore, Karnataka 560076, India.
Vipin NairDepartment of Data Sciences, Manipal Academy of Higher Education, Udupi, Karnataka 576104, India.
Sindhu Puthenpurakkal JosephDepartment of Statistics, Mount Seena College of Arts and Science, Palakkad, Kerala 679302, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the initial stages of the coronavirus disease 2019 (COVID-19) pandemic, the community spread of the virus had efficiently been prevented in Kerala, India. The present study aimed to assess fear and its predictors among the general public following the unforeseen surge of COVID-19 cases in July, 2020 using a reliable and validated tool, the 'Fear of COVID-19 Scale', administered through social media. Of 1,100 responses, 1,046 responses were included in the analysis. The majority of the respondents expressed mild fear 44.6%; moderate fear was found in 39.4% of the respondents, severe fear in 13.6% and very severe fear in 2.4% of the respondents. The mean fear score was found to be 15.93±5.81. Statistically significant (P≤0.05) associations were found between fear and sociodemographic variables, such as age, sex, education and occupation, along with predictors, such as the district of residence, healthcare stakeholders in the family, and the presence of an infected individual in the family. Women and students were found to be the most affected. On the whole, the present study provides sufficient insight into the fear associated with COVID-19. The findings presented herein may enable authorities to take adequate measures to prevent the aftermath.

Indexed as

community spreadcoronavirus disease 2019feargeneral publicmental healthpandemic

Identifiers

PMID36699101
PMCPMC9829194

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.