Optimization of Critical Threshold Values for Aedes Mosquitoes based on Breteau Index in Kandy District of Sri Lanka.

dc.contributor.authorUdayanga, N.W.B.A.L.
dc.contributor.authorGunathilaka, P.A.D.H.N.
dc.contributor.authorIqbal, M.C.M.
dc.contributor.authorKusumawathie, P.H.D.
dc.contributor.authorAbeyewickreme, W.
dc.date.accessioned2018-04-27T09:34:03Z
dc.date.available2018-04-27T09:34:03Z
dc.date.issued2017
dc.description.abstractMany countries, including Sri Lanka, mainly depend upon Stegomyia indices,such as Premise Index (PI), Breteau Index (BI),Container Index (CI), and Pupal Index (PI) for routine entomological surveillance of dengue. Among them, BI remain as the most widely used larval index for vector management prior to and during epidemic incidences. Properly defined threshold values for BI are of essence, to assist the prediction of dengue epidemics and as a leading indicator for vector control. However, Sri Lanka still lacks effective thresholds for BI to initiate and drive dengue vector management activities. Hence, the present study attempts to define threshold values for BI based on an empirical modelling approach for the Kandy District of Sri Lanka.en_US
dc.identifier.citationUdayanga, N.W.B.A.L., Gunathilaka, P.A.D.H.N., Iqbal, M.C.M., Kusumawathie, P.H.D. and Abeyewickreme, W. (2017). Optimization of Critical Threshold Values for Aedes Mosquitoes based on Breteau Index in Kandy District of Sri Lanka. In: Proceedings of the International Postgraduate Research Conference 2017 (IPRC – 2017), Faculty of Graduate Studies, University of Kelaniya, Sri Lanka. p.36.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/18669
dc.language.isoenen_US
dc.publisherIn: Proceedings of the International Postgraduate Research Conference 2017 (IPRC – 2017), Faculty of Graduate Studies, University of Kelaniya, Sri Lanka.en_US
dc.subjectBreteau Indexen_US
dc.subjectThreshold valuesen_US
dc.subjectAedesen_US
dc.subjectDengueen_US
dc.titleOptimization of Critical Threshold Values for Aedes Mosquitoes based on Breteau Index in Kandy District of Sri Lanka.en_US
dc.typeArticleen_US

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