Mapping of Spatio-Temporal Distribution of Mosquito Vector Density in Sitheri Hills Using GIS Technology

Abstract

Rural remote villages located on top hills where lack of basic amenities including health and transportation facilities. Also vector control is a major task in tribal areas, because storage of water in different vessels are one of the essential practices in their lifestyle, So numbers of vector breeding sources are created by them due to poor awareness about vector borne diseases. In the present study involves mapping the spatio-temporal distribution and mosquito species in and around Sitheri hills located in Dharmapuri district of Tamil Nadu. For this study, the thematic maps like location, water storage sites, settlements, and spatio-temporal distribution of mosquitoes and potential mosquito breeding sites and its abundance map were prepared. Mosquitoes were collected from 10 villages in the study area using aspirator and resting bed net by indoor resting, outdoor landing and dusk collection for the years of 2012 and 2013. The spatio-temporal analysis was performed by the IDW interpolation techniques were used at GIS environment. The study provides information about density and spatial distribution of mosquito species record in the study area. The study concludes that the map of breeding sites and population density of mosquito vectors in Sitheri hills are essential for vector control and also useful for monitoring of Vector Borne Diseases (VBDs) in remote areas.

Spatial analyses of Plasmodium knowlesi vectors with reference to control interventions in Malaysia

“…Developing an interpolation map based on species distribution datasets can help identify vector-prone areas and plan effective vector control programs. Some entomological and vector studies have used interpolation techniques, such as the IDW method, to predict mosquito species abundance in non-sampled areas [ 66 – 70 ]. Despite limited data in some parts of the country, the interpolation map estimates vector abundance.…”

Relationship of Precipitation and Habitat to the Spatial and Temporal Abundance of Aedes Atlanticus and Aedes Infirmatus in St. Johns County, Florida

“…Previous studies have successfully utilized measurements of the life-cycle stages of eggs, larvae, or most commonly, adults, to create informative IDW models of mosquito distribution (Allen and Shellito 2008, Cleckner et al 2011, Sarfarz et al 2012, Sumaye et al 2010, Suganthi et al 2015, Dunphy et al 2019, Saffawati et al 2019, Kahamba et al 2020) which lends flexibility to some of the resource limitations that may inhibit a regional mosquito control district. A major strength of spatial maps is that they can be understandable to key stakeholders and are applicable to real-time mosquito control operations, especially in relation to management of vector-borne disease Lorenzo-Fuentes 2009, Eisen andEisen 2011).…”

“…Previous entomological and vector studies have employed interpolation techniques to estimate mosquito species abundance at non-sampled locations, particularly using the inverse distance weighted (IDW) method (Allen and Shellito 2008, Cleckner et al 2011, Sarfarz et al 2012, Sumaye et al 2012, Suganthi et al 2015, Dunphy et al 2019, Saffawati et al 2019. IDW was chosen for these analyses due to its low processing power, comprehensiveness, and simpli-fied interpolation that does not necessitate the more sophisticated math parameters of other methods.…”