What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics?
Circular migrations are the periodic movement of individuals betweenmultiple locations, observed in parts of sub-SaharanAfrica. Relationships between circular migrations and HIV are complex,entailing interactions between migration frequency, partnershipstructure, and exposure to acute HIV infection....
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| Format: | Article |
| Language: | English |
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AIMS Press
2014-05-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1065 |
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| author | Aditya S. Khanna Dobromir T. Dimitrov Steven M. Goodreau |
| author_facet | Aditya S. Khanna Dobromir T. Dimitrov Steven M. Goodreau |
| author_sort | Aditya S. Khanna |
| collection | DOAJ |
| description | Circular migrations are the periodic movement of individuals betweenmultiple locations, observed in parts of sub-SaharanAfrica. Relationships between circular migrations and HIV are complex,entailing interactions between migration frequency, partnershipstructure, and exposure to acute HIV infection. Mathematical modelingis a useful tool for understanding these interactions. Two modeling classes have dominated the HIV epidemiology and policyliterature for the last decade: one a form of compartmental models,the other network models. We construct models from each class, usingordinary differential equations and exponential random graph models,respectively. Our analysis suggests that projected HIV prevalence is highlysensitive to the choice of modeling framework. Assuming initial equalHIV prevalence across locations, compartmental models show noassociation between migration frequency and HIV prevalence orincidence, while network models show that migrations at frequenciesshorter than the acute HIV period predict greater HIV incidence andprevalence compared to longer migration periods. These differences arestatistically significant when network models are extended toincorporate a requirement for migrant men's multiple partnerships tooccur in different locations. In settings with circular migrations,commonly-used forms of compartmental models appear to miss keycomponents of HIV epidemiology stemming from interactions ofrelational and viral dynamics. |
| format | Article |
| id | doaj-art-36c1a08c79f9494e9889dea893973cd4 |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2014-05-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-36c1a08c79f9494e9889dea893973cd42025-01-24T02:28:54ZengAIMS PressMathematical Biosciences and Engineering1551-00182014-05-011151065109010.3934/mbe.2014.11.1065What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics?Aditya S. Khanna0Dobromir T. Dimitrov1Steven M. Goodreau2Department of Global Health, University of Washington. Box 359927, 325 Ninth Ave Seattle WA 98104Fred Hutchinson Cancer Research Center, PO Box 19024, 1100 Fairview Ave. N. Seattle WA 98109Department of Anthropology, University of Washington, Campus Box 353100, Seattle WA 98195Circular migrations are the periodic movement of individuals betweenmultiple locations, observed in parts of sub-SaharanAfrica. Relationships between circular migrations and HIV are complex,entailing interactions between migration frequency, partnershipstructure, and exposure to acute HIV infection. Mathematical modelingis a useful tool for understanding these interactions. Two modeling classes have dominated the HIV epidemiology and policyliterature for the last decade: one a form of compartmental models,the other network models. We construct models from each class, usingordinary differential equations and exponential random graph models,respectively. Our analysis suggests that projected HIV prevalence is highlysensitive to the choice of modeling framework. Assuming initial equalHIV prevalence across locations, compartmental models show noassociation between migration frequency and HIV prevalence orincidence, while network models show that migrations at frequenciesshorter than the acute HIV period predict greater HIV incidence andprevalence compared to longer migration periods. These differences arestatistically significant when network models are extended toincorporate a requirement for migrant men's multiple partnerships tooccur in different locations. In settings with circular migrations,commonly-used forms of compartmental models appear to miss keycomponents of HIV epidemiology stemming from interactions ofrelational and viral dynamics.https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1065circular migrationsexponential random graph models (ergms).compartmental modelsnetwork modelshiv transmission modeling |
| spellingShingle | Aditya S. Khanna Dobromir T. Dimitrov Steven M. Goodreau What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? Mathematical Biosciences and Engineering circular migrations exponential random graph models (ergms). compartmental models network models hiv transmission modeling |
| title | What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? |
| title_full | What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? |
| title_fullStr | What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? |
| title_full_unstemmed | What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? |
| title_short | What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? |
| title_sort | what can mathematical models tell us about the relationship between circular migrations and hiv transmission dynamics |
| topic | circular migrations exponential random graph models (ergms). compartmental models network models hiv transmission modeling |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.1065 |
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