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dc.contributor.authorAgusto, Folashade B.
dc.contributor.authorELmojtaba, Ibrahim M.
dc.date.accessioned2018-09-28T16:51:19Z
dc.date.available2018-09-28T16:51:19Z
dc.date.issued2017
dc.identifier.citationAgusto FB, ELmojtaba IM (2017) Optimal control and cost-effective analysis of malaria/visceral leishmaniasis co-infection. PLoS ONE 12(2): e0171102. doi:10.1371/journal.pone.0171102en_US
dc.identifier.urihttp://hdl.handle.net/1808/26769
dc.description.abstractIn this paper, a deterministic model involving the transmission dynamics of malaria/visceral leishmaniasis co-infection is presented and studied. Optimal control theory is then applied to investigate the optimal strategies for curtailing the spread of the diseases using the use of personal protection, indoor residual spraying and culling of infected reservoirs as the system control variables. Various combination strategies were examined so as to investigate the impact of the controls on the spread of the disease. And we investigated the most cost-effective strategy of all the control strategies using three approaches, the infection averted ratio (IAR), the average cost-effectiveness ratio (ACER) and incremental cost-effectiveness ratio (ICER). Our results show that the implementation of the strategy combining all the time dependent control variables is the most cost-effective control strategy. This result is further emphasized by using the results obtained from the cost objective functional, the ACER, and the ICERen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2017 Agusto, ELmojtaba. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleOptimal control and cost-effective analysis of malaria/visceral leishmaniasis co-infectionen_US
dc.typeArticleen_US
kusw.kuauthorAgusto, Folashade, B.
kusw.kudepartmentEcology & Evolutionary Biologyen_US
dc.identifier.doi10.1371/journal.pone.0171102en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2017 Agusto, ELmojtaba. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as: © 2017 Agusto, ELmojtaba. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.