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A Ross MacDonald based model for outbreak prediction of the Zika virus

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dc.contributor.advisor Esichaikul, Vatcharaporn
dc.contributor.author Chait, Ramy I.
dc.contributor.other Guha, Sumanta
dc.contributor.other N.Dailey, Matthew
dc.date.accessioned 2016-05-12T08:33:53Z
dc.date.available 2016-05-12T08:33:53Z
dc.date.issued 2016-05
dc.identifier.other AIT
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/819
dc.description 42 p en_US
dc.description.abstract Health is a major issue in today world, with a fast expansion of way of travel, disease a more efficient in spreading around the world. A relevant example is the Zika virus, indeed around May 2015 the zika virus was found in Brazil, many factors lead to a fast and unexpected epidemic. As the infamous dengue and chikungunya, zika virus is transmitted by a vector, mosquitoes, mostly from Aedes family which allows it to spread wildly since they can be found in Brazil, Latin America and even all around the world. This research study aims to illustrate how information management can be use in a health related problem, indeed the outbreak of Zika virus is rapidly becoming a public health crisis and it is necessary to control the epidemic by predicting with a mathematical model the spread of the virus in a targeting area, French Guiana. Indeed we focus on adapting a Ross Macdonald model by adding new way of transmission and including a strong temperature dependency in our vector to study the effect on the basic reproductive number. en_US
dc.description.sponsorship Telecom Sud Paris en_US
dc.language.iso en en_US
dc.publisher AIT en_US
dc.subject Ross MacDonald model, Zika Virus, Mosquitoes prediction en_US
dc.title A Ross MacDonald based model for outbreak prediction of the Zika virus en_US
dc.type Research report en_US


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