<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>7(8)</volume><submitter>Jansson J</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Advances in HIV antiretroviral therapy (ART) has reduced mortality in people living with HIV (PLHIV), resulting in an ageing population of PLHIV. Knowledge of demographic details such as age, geographical location and sex, will aid in the planning of training and resource allocation to effectively care for the future complex health needs of PLHIV.&lt;h4>Methods&lt;/h4>An agent-based, stochastic, geographical model was developed to determine the current and future demographic of PLHIV in Australia. Data and parameters were sourced from Australia's National HIV Registry and peer reviewed literature. Processes that were simulated include progression to AIDS, mortality and internal migration.&lt;h4>Findings&lt;/h4>The model estimates the mean age of PLHIV in Australia is increasing at a</pubmed_abstract><journal>PloS one</journal><pagination>e38334</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3415409</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Projected demographic profile of people living with HIV in Australia: planning for an older generation.</pubmed_title><pmcid>PMC3415409</pmcid><pubmed_authors>Jansson J</pubmed_authors><pubmed_authors>Wilson DP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Projected demographic profile of people living with HIV in Australia: planning for an older generation.</name><description>&lt;h4>Background&lt;/h4>Advances in HIV antiretroviral therapy (ART) has reduced mortality in people living with HIV (PLHIV), resulting in an ageing population of PLHIV. Knowledge of demographic details such as age, geographical location and sex, will aid in the planning of training and resource allocation to effectively care for the future complex health needs of PLHIV.&lt;h4>Methods&lt;/h4>An agent-based, stochastic, geographical model was developed to determine the current and future demographic of PLHIV in Australia. Data and parameters were sourced from Australia's National HIV Registry and peer reviewed literature. Processes that were simulated include progression to AIDS, mortality and internal migration.&lt;h4>Findings&lt;/h4>The model estimates the mean age of PLHIV in Australia is increasing at a</description><dates><release>2012-01-01T00:00:00Z</release><publication>2012</publication><modification>2026-05-29T19:13:24.969Z</modification><creation>2019-03-26T23:11:02Z</creation></dates><accession>S-EPMC3415409</accession><cross_references><pubmed>22912660</pubmed><doi>10.1371/journal.pone.0038334</doi></cross_references></HashMap>