Empirical optimization of risk thresholds for dengue: An approach towards entomological management of Aedes mosquitoes based on larval indices in the Kandy District of Sri Lanka

Regardless of the immense efforts taken by the Vector Controlling Entities (VCE), dengue is remaining as a major health risk in Sri Lanka. Limitations in vector management, community participation and awareness has become the potential issues for handling the threat of dengue. Even though, Sri Lanka is being using larval indices to guide vector surveillance and controlling activities for decades, risk thresholds have not been defined to ensure the proper timing of chemical based vector control activities. 

As a solution, this research article aims to determine the natural distribution of vector densities (in terms of larval indices) at the regional level and to establish threshold values for epidemic management based on an empirical modelling approach for the district of Kandy, Sri Lanka, which records the third highest dengue incidence in Sri Lanka. The defined targets are expected to assist responsible VCEs of Sri Lanka to assist community based activities for management of epidemic outbreaks and implement necessary precautions in order to minimize the risk of potential dengue outbreaks.

 

   

  L. Udayanga, P.A.D.H.N. Gunathilaka, M.C.M. Iqbal, M. M. M. Najim, K. Pahalagedara & W. Abeyewickreme

 Parasites & Vectors

Abstract :- https://doi.org/10.1186/s13071-018-2961-y

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