Evidence map›Paper›PMID 40146987›Full record

ArticleJMIR formative research2025

Exploring Public Sentiment on the Repurposing of Ivermectin for COVID-19 Treatment: Cross-Sectional Study Using Twitter Data.

Angga Prawira Kautsar, Rano Kurnia Sinuraya, Jurjen van der Schans, Maarten Jacobus Postma, Auliya A Suwantika

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Angga Prawira Kautsar *Unit of Global Health, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-6868-5286
Rano Kurnia Sinuraya *Unit of Global Health, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-6109-0482
Jurjen van der SchansUnit of Global Health, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0001-6170-1191
Maarten Jacobus PostmaUnit of Global Health, Department of Health Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.ORCID 0000-0002-6306-3653
Auliya A SuwantikaCenter of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia.ORCID 0000-0001-8671-2065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sentiment analysis of 5051 Twitter posts from January 2022 found that 53.4% of them expressed positive views on ivermectin as a COVID-19 treatment, 35.6% of them were neutral, and 11% of them were negative, highlighting the polarized public perception and the need for careful interpretation of social media data in health communication.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningIvermectinPublic OpinionSocial MediaCOVID-19Cross-Sectional StudiesHumansSARS-CoV-2IvermectinCOVID-19geolocation analysisivermectinmisinformationpublic healthsentiment analysissocial mediaTwitter

Identifiers

PMID40146987
PMCPMC11986376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.