Evidence map›Paper›PMID 40666628›Full record

ArticleDigital health

Patterns of Google search behavior for multiple sclerosis in the Philippines: An infodemiological study.

Kurt Joshua E Baladjay, Roland Dominic G Jamora

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

2 authors.

Kurt Joshua E BaladjayDivision of Adult Neurology, Department of Neurosciences, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.ORCID https://orcid.org/0000-0002-2618-5811
Roland Dominic G JamoraDivision of Adult Neurology, Department of Neurosciences, College of Medicine and Philippine General Hospital, University of the Philippines Manila, Manila, Philippines.ORCID https://orcid.org/0000-0001-5317-7369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple sclerosis (MS) is a chronic autoimmune disease caused by demyelination in the central nervous system primarily affecting younger adults leading to disability due to sensorimotor deficits and cognitive impairment. Online search volume index (SVI) can be used as a surrogate marker to explore interest and awareness for MS in the Philippines. Objectives: This study aimed to describe the online searching behavior and interest for MS in the Philippines and explored its implications in the current healthcare situation surrounding the disease in the country. Methods: Using Google Trends, the monthly SVI for the term "Multiple Sclerosis" from 1 January 2014 to 31 July 2024 in the Philippines was determined and its related queries. Philippine data was compared with worldwide data by using Spearman rank correlation, and MS SVI was compared with top neurologic diseases in the Philippines. Results: The SVI for MS generally remained in the same level over the last 10 years, with only two peaks, and no seasonal or annual variation observed. Worldwide SVI trends did not correlate with Philippine SVI trends. SVI for MS ranked the lowest in comparison to the top four neurologic diseases in the Philippines. Conclusion: SVI trends of MS in the Philippines mirrored its prevalence and incidence, current state of healthcare delivery, and research productivity in the country. This signals opportunities to increase awareness for MS and capacity of the healthcare system to adequately diagnose and treat said disease entity.

Indexed as

infodemiologyMultiple sclerosisPhilippinessearch volume index

Identifiers

PMID40666628
PMCPMC12260310

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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.