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Several sociological and structural factors render general control strategies ineffective in these settings; instead, focused prevention, testing and treatment strategies which take into account the nature of survival sex work are required. Using a dynamic bipartite network model of sexual contacts, we investigate the optimal distribution of treatment and preventative resources among sex workers and their clients; specifically, we consider control strategies that randomly allocate antiretroviral therapy and pre-exposure prophylaxis within each subpopulation separately. Motivated by historical data from a South African mining community, three main asymmetries between sex workers and clients are considered in our model: relative population sizes, migration rates and partner distributions. We find that preventative interventions targeted at female sex workers are the lowest cost strategies for reducing HIV prevalence, since the sex workers form a smaller population and have, on average, more sexual contacts. However, the high migration rate among survival sex workers limits the extent to which prevalence can be reduced using this strategy. To achieve a further reduction in HIV prevalence, testing and treatment in the client population cannot be ignored.<\/jats:p>","DOI":"10.1098\/rsif.2019.0497","type":"journal-article","created":{"date-parts":[[2019,9,25]],"date-time":"2019-09-25T07:06:00Z","timestamp":1569395160000},"page":"20190497","update-policy":"https:\/\/doi.org\/10.1098\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["HIV control strategies for sex worker\u2013client contact networks"],"prefix":"10.1098","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1465-8001","authenticated-orcid":true,"given":"Nicola","family":"Mulberry","sequence":"first","affiliation":[{"name":"Department of Mathematics, Simon Fraser University, Burnaby, British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5661-2063","authenticated-orcid":true,"given":"Alexander R.","family":"Rutherford","sequence":"additional","affiliation":[{"name":"Department of Mathematics and SFU Big Data, Simon Fraser University, Burnaby, British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8724-8858","authenticated-orcid":true,"given":"Ralf W.","family":"Wittenberg","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Simon Fraser University, Burnaby, British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian G.","family":"Williams","sequence":"additional","affiliation":[{"name":"South African Centre for Epidemiological Modelling and Analysis, University of Stellenbosch, Stellenbosch, South Africa"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"175","published-online":{"date-parts":[[2019,9,25]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1596\/978-0-8213-9774-9"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(14)60933-8"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(12)70066-X"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(14)60800-X"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1097\/00002030-200011100-00015"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10461-011-9985-z"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2016.09.023"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.socscimed.2007.11.008"},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0277-9536(00)00315-4"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(14)60974-0"},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.1002\/jia2.25081"},{"key":"e_1_3_6_13_2","doi-asserted-by":"publisher","DOI":"10.1097\/COH.0000000000000215"},{"key":"e_1_3_6_14_2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0086200"},{"key":"e_1_3_6_15_2","first-page":"74","article-title":"The promise and peril of pre-exposure prophylaxis (PrEP): using social science to inform prep interventions among female sex workers","volume":"18","author":"Syvertsen JL","year":"2014","journal-title":"Afr. 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