Evidence map›Paper›PMID 35656237›Full record

ArticleIndian journal of dermatology

Online Information-Seeking Behavior for Allergies and its Association with COVID-19 Vaccine-Hesitancy in India: An Info-Epidemiologic Study.

Himel Mondal, Indrashis Podder, Shaikat Mondal

Abstract read
In one paragraph

Article in Indian journal of dermatology. 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. Review
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

3 authors.

Himel MondalDepartment of Physiology, Fakir Mohan Medical College and Hospital, Balasore, Odisha, India.
Indrashis PodderDepartment of Dermatology, College of Medicine and Sagore Dutta Hospital, Kolkata, West Bengal, India.
Shaikat MondalDepartment of Physiology, Raiganj Government Medical College and Hospital, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vaccine-hesitancy is an important obstacle to attain herd-immunity against COVID-19. Undue fears about adverse effects like allergic reactions may be an important reason for vaccine-hesitancy. Objectives: To assess the online information-seeking behavior of Indian internet users regarding 'allergies' and determine its association with COVID-19 vaccine-hesitancy. Methods: We conducted a Google trend analysis to obtain the relative search volume (RSV) for keywords-'skin allergy,' 'drug allergy,' 'food allergy,' 'vaccine allergy,' 'contact dermatitis,' and 'allergy' using a public domain https://trends.google.com/trends. We further obtained state-wise data and statistically analyzed it to assess any association with vaccine-hesitancy. Results: Higher RSV was found for 'vaccine allergy' after the advent of COVID-19 vaccines, showing the steepest peak. 'Skin allergy' showed two peaks. The first peak was after the advent of COVID-19 pandemic and second peak was after introduction of vaccines. RSV of 'contact dermatitis' remained unchanged. Eastern and North-Eastern states showed the highest RSV for 'skin' and 'vaccine' allergies. Literacy rate showed a significant positive correlation with vaccination, whereas vaccine-hesitancy was inversely proportional to RSV for 'allergy. Conclusion: Increased online information-seeking behavior is demonstrated by Indians regarding various 'allergies,' particularly after the advent of COVID-19 vaccines. Literacy was directly proportional to vaccination status, whereas vaccine-hesitancy was inversely proportional to search-volume for 'allergy.'

Indexed as

AllergyCOVID-19 vaccineinformation-seeking behavioronlinevaccine-hesitancy

Identifiers

PMID35656237
PMCPMC9154147

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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.