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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Guilan</PublisherName>
				<JournalTitle>Journal of Mathematical Modeling</JournalTitle>
				<Issn>2345-394X</Issn>
				<Volume>9</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>12</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A stochastic model for HIV with the use of PrEP</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>537</FirstPage>
			<LastPage>553</LastPage>
			<ELocationID EIdType="pii">4627</ELocationID>
			
<ELocationID EIdType="doi">10.22124/jmm.2021.16870.1461</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Mozart Umba Nsuami</FirstName>
					<LastName>Nsuami</LastName>
<Affiliation>Department of Mathematics and Applied Mathematics,
University of the Western Cape, Private Bag X17, Bellville 7535, Republic of South Africa</Affiliation>

</Author>
<Author>
					<FirstName>Peter Joseph</FirstName>
					<LastName>Witbooi</LastName>
<Affiliation>Department of Mathematics and Applied Mathematics,
University of the Western Cape, Private Bag X17, Bellville 7535, Republic of South Africa</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2020</Year>
					<Month>06</Month>
					<Day>20</Day>
				</PubDate>
			</History>
		<Abstract>Pre-exposure prophylaxis (PrEP) has become a promising strategy used by uninfected individuals for the HIV prevention. The risk of infection with HIV after exposure to the virus can be understood through a stochastic framework. In this research we present a stochastic model for HIV/AIDS epidemic with the use of prophylaxis and we show that the model with random perturbation has a unique global positive solution. For a special case, we introduce an analogue, ${\cal R}_{\sigma}$, of the basic reproduction number. This invariant features in a theorem on almost sure exponential stability. Our results show that the disease goes extinct exponentially and almost surely whenever ${\cal R}_{\sigma}$ stays below unity. Simulations serve to illustrate various phenomena.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">HIV/AIDS stochastic model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">basic reproduction number</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">pre-exposure prophylaxis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">almost sure exponential stability</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">extinction</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jmm.guilan.ac.ir/article_4627_c0c66263d87aa9523fb2fa05bfdb0163.pdf</ArchiveCopySource>
</Article>
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