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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>Iran Medical Council</PublisherName>
				<JournalTitle>Journal of Iranian Medical Council</JournalTitle>
				<Issn>2645-338X</Issn>
				<Volume>9</Volume>
				<Issue>3</Issue>
				<PubDate PubStatus="epublish">
					<Year>2026</Year>
					<Month>07</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Forecasting Lice Infestation Trends in Iran: Impact of COVID-19 and Future Projections</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>776</FirstPage>
			<LastPage>780</LastPage>
			<ELocationID EIdType="pii">245116</ELocationID>
			
<ELocationID EIdType="doi">10.18502/jimc.v9i3.21839</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Jafarzadeh Esfehani</LastName>
<Affiliation>Blood Borne Infections Research Center, Academic Center for Education, Culture and Research (ACECR), Razavi Khorasan Branch, Mashhad, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hassan</FirstName>
					<LastName>Aelami</LastName>
<Affiliation>Infection Control &amp; Hand Hygiene Research Center, Mashhad University of Medical Sciences, Mashhad, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2025</Year>
					<Month>07</Month>
					<Day>04</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Background:&lt;/strong&gt; Lice infestation is a global public health issue, particularly among children, with the COVID-19 pandemic potentially altering its trends. This study assessed the pandemic’s impact on lice-related search activity in Iran and forecasted future trends using Google Trends data. &lt;br&gt;&lt;strong&gt;Methods:&lt;/strong&gt; While Google Trends has been used for other health conditions, this is the first study to apply this methodology to lice-related searches in Iran, capturing unique regional pandemic impacts. &lt;br&gt;&lt;strong&gt;Results:&lt;/strong&gt; Analyzing Persian search terms (2014–2024), a time-series analysis compared unadjusted and seasonally adjusted models. The seasonally adjusted model outperformed the unadjusted one, with higher stationary R-squared (0.846 vs. 0.669), lower MAPE (1.624 vs. 9.189), and reduced BIC (0.032 vs. 3.676). It predicted a 7.7% increase in lice-related searches from November 2024 to November 2026. &lt;br&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; These findings support using digital data for lice surveillance and underscore the need for context-specific public health strategies.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Lice Infestations</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Parasitic Diseases</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">SARS-CoV-2</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://www.jimc.ir/article_245116_5603ad817a03ded173b919c6c08ec18b.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
