Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93868
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dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorLuo, XFen_US
dc.creatorJin, Zen_US
dc.creatorHe, Den_US
dc.creatorLi, Len_US
dc.date.accessioned2022-08-03T01:24:01Z-
dc.date.available2022-08-03T01:24:01Z-
dc.identifier.issn0096-3003en_US
dc.identifier.urihttp://hdl.handle.net/10397/93868-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2020 Elsevier Inc. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Luo, X. F., Jin, Z., He, D., & Li, L. (2021). The impact of contact patterns of sexual networks on Zika virus spread: A case study in Costa Rica. Applied Mathematics and Computation, 393, 125765 is available at https://doi.org/10.1016/j.amc.2020.125765en_US
dc.subjectNetworken_US
dc.subjectSexual contact patternsen_US
dc.subjectTime threshold of deleting nodes with large degreeen_US
dc.subjectZika virusen_US
dc.titleThe impact of contact patterns of sexual networks on Zika virus spread : a case study in Costa Ricaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume393en_US
dc.identifier.doi10.1016/j.amc.2020.125765en_US
dcterms.abstractThe impact of Zika virus (ZIKV) is a global public health issue and its severity is ongoing. It is primarily transmitted via mosquitoes and sexual contacts. Sexual transmission experiences a longer period and strongly depends on the topological structure of sexual networks. However, relatively little work has been done to explore the characteristics of ZIKV infection in sexual networks, and further control ZIKV by changing contact patterns between individuals. In this paper, using the settings of Costa Rica as a case study, we developed a heterosexual network-based model, to study the effect of changing the degree heterogeneity by the measure of deleting the sexual contacts of individuals with small number but large degree in the sexually active places at different time, on ZIKV spread. We obtained a threshold time, which is later than the peak time of ZIKV infected cases. If applied prior to the threshold time, the measure will inhibit ZIKV infection and lower the final size; surprisingly if past the threshold time, the measure will boost ZIKV infection and increase the final size. In addition, our model yielded higher cumulative infection among females, which is in line with observations. Our results provide some guidelines for preventing and controlling mosquito-human and sexual transmissions against ZIKV, particularly for countries with a high rate of sexually transmitted infections.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationApplied mathematics and computation, 15 Mar. 2021, v. 393, 125765en_US
dcterms.isPartOfApplied mathematics and computationen_US
dcterms.issued2021-03-15-
dc.identifier.scopus2-s2.0-85096668159-
dc.identifier.eissn1873-5649en_US
dc.identifier.artn125765en_US
dc.description.validate202208 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberAMA-0064-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyUen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54044456-
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