Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model
Hosts can activate a defensive response to clear the parasite once being infected. To explore how host survival and fecundity are affected by host-parasite coevolution for chronic parasitic diseases, in this paper, we proposed an age-structured epidemic model with infection age, in which the parasit...
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description | Hosts can activate a defensive response to clear the parasite once being infected. To explore how host survival and fecundity are affected by host-parasite coevolution for chronic parasitic diseases, in this paper, we proposed an age-structured epidemic model with infection age, in which the parasite transmission rate and parasite-induced mortality rate are structured by the infection age. By use of critical function analysis method, we obtained the existence of the host immune evolutionary singular strategy which is a continuous singular strategy (CSS). Assume that parasite-induced mortality begins at infection age
τ
and is constant
v
thereafter. We got that the value of the CSS,
c
∗
, monotonically decreases with respect to infection age
τ
(see Case (
I
)), while it is non-monotone if the constant
v
positively depends on the immune trait
c
(see Case (
II
)). This non-monotonicity is verified by numerical simulations and implies that the direction of immune evolution depends on the initial value of immune trait. Besides that, we adopted two special forms of the parasite transmission rate to study the parasite’s virulence evolution, by maximizing the basic reproduction ratio
R
0
. The values of the convergence stable parasite’s virulence evolutionary singular strategies
v
∗
and
k
∗
increase monotonically with respect to time lag
L
(i.e., the time lag between the onset of transmission and mortality). At the singular strategy
v
∗
and
k
∗
, we further obtained the expressions of the case mortalities
χ
∗
and how they are affected by the time lag
L
. Finally, we only presented some preliminary results about host and parasite coevolution dynamics, including a general condition under which the coevolutionary singular strategy
(
c
∗
,
v
∗
)
is evolutionarily stable. |
doi_str_mv | 10.1007/s11538-023-01131-w |
format | Article |
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τ
and is constant
v
thereafter. We got that the value of the CSS,
c
∗
, monotonically decreases with respect to infection age
τ
(see Case (
I
)), while it is non-monotone if the constant
v
positively depends on the immune trait
c
(see Case (
II
)). This non-monotonicity is verified by numerical simulations and implies that the direction of immune evolution depends on the initial value of immune trait. Besides that, we adopted two special forms of the parasite transmission rate to study the parasite’s virulence evolution, by maximizing the basic reproduction ratio
R
0
. The values of the convergence stable parasite’s virulence evolutionary singular strategies
v
∗
and
k
∗
increase monotonically with respect to time lag
L
(i.e., the time lag between the onset of transmission and mortality). At the singular strategy
v
∗
and
k
∗
, we further obtained the expressions of the case mortalities
χ
∗
and how they are affected by the time lag
L
. Finally, we only presented some preliminary results about host and parasite coevolution dynamics, including a general condition under which the coevolutionary singular strategy
(
c
∗
,
v
∗
)
is evolutionarily stable.</description><identifier>ISSN: 0092-8240</identifier><identifier>EISSN: 1522-9602</identifier><identifier>DOI: 10.1007/s11538-023-01131-w</identifier><identifier>PMID: 36853371</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Age ; Animals ; Basic converters ; Basic Reproduction Number ; Cell Biology ; Coevolution ; Defensive behavior ; Epidemic models ; Epidemics ; Evolution ; Fecundity ; Function analysis ; Infections ; Life Sciences ; Mathematical and Computational Biology ; Mathematical Concepts ; Mathematical models ; Mathematics ; Mathematics and Statistics ; Models, Biological ; Mortality ; Original Article ; Parasites ; Parasitic diseases ; Time lag ; Virulence</subject><ispartof>Bulletin of mathematical biology, 2023-04, Vol.85 (4), p.28-28, Article 28</ispartof><rights>The Author(s), under exclusive licence to Society for Mathematical Biology 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Society for Mathematical Biology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-dd2209c34c9b9f660153ede0428befa0046191a8a7f036f8757c4297e30fa9703</cites><orcidid>0000-0002-2472-8704</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11538-023-01131-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11538-023-01131-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36853371$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Duan, Xi-Chao</creatorcontrib><creatorcontrib>Zhao, Jiangyue</creatorcontrib><creatorcontrib>Martcheva, Maia</creatorcontrib><title>Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model</title><title>Bulletin of mathematical biology</title><addtitle>Bull Math Biol</addtitle><addtitle>Bull Math Biol</addtitle><description>Hosts can activate a defensive response to clear the parasite once being infected. To explore how host survival and fecundity are affected by host-parasite coevolution for chronic parasitic diseases, in this paper, we proposed an age-structured epidemic model with infection age, in which the parasite transmission rate and parasite-induced mortality rate are structured by the infection age. By use of critical function analysis method, we obtained the existence of the host immune evolutionary singular strategy which is a continuous singular strategy (CSS). Assume that parasite-induced mortality begins at infection age
τ
and is constant
v
thereafter. We got that the value of the CSS,
c
∗
, monotonically decreases with respect to infection age
τ
(see Case (
I
)), while it is non-monotone if the constant
v
positively depends on the immune trait
c
(see Case (
II
)). This non-monotonicity is verified by numerical simulations and implies that the direction of immune evolution depends on the initial value of immune trait. Besides that, we adopted two special forms of the parasite transmission rate to study the parasite’s virulence evolution, by maximizing the basic reproduction ratio
R
0
. The values of the convergence stable parasite’s virulence evolutionary singular strategies
v
∗
and
k
∗
increase monotonically with respect to time lag
L
(i.e., the time lag between the onset of transmission and mortality). At the singular strategy
v
∗
and
k
∗
, we further obtained the expressions of the case mortalities
χ
∗
and how they are affected by the time lag
L
. Finally, we only presented some preliminary results about host and parasite coevolution dynamics, including a general condition under which the coevolutionary singular strategy
(
c
∗
,
v
∗
)
is evolutionarily stable.</description><subject>Age</subject><subject>Animals</subject><subject>Basic converters</subject><subject>Basic Reproduction Number</subject><subject>Cell Biology</subject><subject>Coevolution</subject><subject>Defensive behavior</subject><subject>Epidemic models</subject><subject>Epidemics</subject><subject>Evolution</subject><subject>Fecundity</subject><subject>Function analysis</subject><subject>Infections</subject><subject>Life Sciences</subject><subject>Mathematical and Computational Biology</subject><subject>Mathematical Concepts</subject><subject>Mathematical models</subject><subject>Mathematics</subject><subject>Mathematics and Statistics</subject><subject>Models, Biological</subject><subject>Mortality</subject><subject>Original Article</subject><subject>Parasites</subject><subject>Parasitic diseases</subject><subject>Time lag</subject><subject>Virulence</subject><issn>0092-8240</issn><issn>1522-9602</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kU9v1DAQxS1ERZfCF-CALHHhYjq2Ezs-lm1pKxWBxJ-r5XUmq1SJvdhxq357TLdQqQdOI3l-7814HiFvOHzgAPo4c97KjoGQDDiXnN0-IyveCsGMAvGcrACMYJ1o4JC8zPkaqshI84IcStW1Umq-Itt1xJs4lWWMwaU7enoX3Dz6TONAL2Je6OU8l4DUhZ5-dcnlcUH6c0xlwuCRfnQZexpD7dOTLbJvSyp-Kak-nu3GHqsV_Rx7nF6Rg8FNGV8_1CPy49PZ9_UFu_pyfrk-uWJetGphfS8EGC8bbzZmUArqD7FHaES3wcEBNIob7jqnB5Bq6HSrfSOMRgmDMxrkEXm_992l-KtgXuw8Zo_T5ALGkq3QHWjVSKMr-u4Jeh1LCnW7e6qTSummUmJP-RRzTjjYXRrneirLwf6Jwe5jsDUGex-Dva2itw_WZTNj_0_y9-4VkHsg11bYYnqc_R_b302PkjM</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Duan, Xi-Chao</creator><creator>Zhao, Jiangyue</creator><creator>Martcheva, Maia</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SS</scope><scope>7TK</scope><scope>JQ2</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2472-8704</orcidid></search><sort><creationdate>20230401</creationdate><title>Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model</title><author>Duan, Xi-Chao ; Zhao, Jiangyue ; Martcheva, Maia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-dd2209c34c9b9f660153ede0428befa0046191a8a7f036f8757c4297e30fa9703</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Animals</topic><topic>Basic converters</topic><topic>Basic Reproduction Number</topic><topic>Cell Biology</topic><topic>Coevolution</topic><topic>Defensive behavior</topic><topic>Epidemic models</topic><topic>Epidemics</topic><topic>Evolution</topic><topic>Fecundity</topic><topic>Function analysis</topic><topic>Infections</topic><topic>Life Sciences</topic><topic>Mathematical and Computational Biology</topic><topic>Mathematical Concepts</topic><topic>Mathematical models</topic><topic>Mathematics</topic><topic>Mathematics and Statistics</topic><topic>Models, Biological</topic><topic>Mortality</topic><topic>Original Article</topic><topic>Parasites</topic><topic>Parasitic diseases</topic><topic>Time lag</topic><topic>Virulence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Duan, Xi-Chao</creatorcontrib><creatorcontrib>Zhao, Jiangyue</creatorcontrib><creatorcontrib>Martcheva, Maia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Bulletin of mathematical biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Duan, Xi-Chao</au><au>Zhao, Jiangyue</au><au>Martcheva, Maia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model</atitle><jtitle>Bulletin of mathematical biology</jtitle><stitle>Bull Math Biol</stitle><addtitle>Bull Math Biol</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>85</volume><issue>4</issue><spage>28</spage><epage>28</epage><pages>28-28</pages><artnum>28</artnum><issn>0092-8240</issn><eissn>1522-9602</eissn><abstract>Hosts can activate a defensive response to clear the parasite once being infected. To explore how host survival and fecundity are affected by host-parasite coevolution for chronic parasitic diseases, in this paper, we proposed an age-structured epidemic model with infection age, in which the parasite transmission rate and parasite-induced mortality rate are structured by the infection age. By use of critical function analysis method, we obtained the existence of the host immune evolutionary singular strategy which is a continuous singular strategy (CSS). Assume that parasite-induced mortality begins at infection age
τ
and is constant
v
thereafter. We got that the value of the CSS,
c
∗
, monotonically decreases with respect to infection age
τ
(see Case (
I
)), while it is non-monotone if the constant
v
positively depends on the immune trait
c
(see Case (
II
)). This non-monotonicity is verified by numerical simulations and implies that the direction of immune evolution depends on the initial value of immune trait. Besides that, we adopted two special forms of the parasite transmission rate to study the parasite’s virulence evolution, by maximizing the basic reproduction ratio
R
0
. The values of the convergence stable parasite’s virulence evolutionary singular strategies
v
∗
and
k
∗
increase monotonically with respect to time lag
L
(i.e., the time lag between the onset of transmission and mortality). At the singular strategy
v
∗
and
k
∗
, we further obtained the expressions of the case mortalities
χ
∗
and how they are affected by the time lag
L
. Finally, we only presented some preliminary results about host and parasite coevolution dynamics, including a general condition under which the coevolutionary singular strategy
(
c
∗
,
v
∗
)
is evolutionarily stable.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>36853371</pmid><doi>10.1007/s11538-023-01131-w</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2472-8704</orcidid></addata></record> |
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subjects | Age Animals Basic converters Basic Reproduction Number Cell Biology Coevolution Defensive behavior Epidemic models Epidemics Evolution Fecundity Function analysis Infections Life Sciences Mathematical and Computational Biology Mathematical Concepts Mathematical models Mathematics Mathematics and Statistics Models, Biological Mortality Original Article Parasites Parasitic diseases Time lag Virulence |
title | Coevolutionary Dynamics of Host Immune and Parasite Virulence Based on an Age-Structured Epidemic Model |
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