Journal of Mosquito Research 2024, Vol.14, No.3, 161-171 http://emtoscipublisher.com/index.php/jmr 166 lack of standardized data collection methods can hinder the accuracy and reliability of GIS-based mosquito monitoring systems (Aldosery et al., 2021). Figure 1 Examples of sampling sites where anopheline larvae were found (Adopted from Stanton et al., 2020) Image caption: The top row indicates the precise GPS location captured using ODK (yellow circle), the expected sampling area based on these coordinates (1 m radius), and the expected accuracy of the coordinates (3 m radius), overlaid on top of the drone imagery. The middle row presents the classified imagery for these sites and the bottom row contains photographs of each site taken at the time of sampling (Adopted from Stanton et al., 2020) 6.2 Technical and financial constraints The implementation of GIS technology in mosquito monitoring also faces technical and financial constraints. High-resolution satellite imagery and advanced GIS software can be expensive, limiting their accessibility, especially in resource-constrained settings. The study on malaria control in Delhi and Gujarat, India, demonstrated the utility of remote sensing data in assessing mosquito abundance and malaria receptivity, but also underscored the need for significant financial investment in GIS infrastructure and training (Deleon et al., 2017). Additionally,
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