Browsing by Author "Pontiggia, Gianpaolo"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements
    (BMC, 2025-03-14) Mbuba, Emmanuel; Mañas‑Chavernas, Natalia; Moore, Sarah; Ruzige, Philipo; Kobe, Dickson; Moore, Jason; Philipo, Rose; Kisoka, Noela; Pontiggia, Gianpaolo; Chacky, Frank; Mwalimu, Charles; Cattin, Philippe; Wolleb, Julia; Sandkuehler, Robin; Ross, Amanda
    Background The physical integrity of insecticidal‑treated nets (ITNs) is important for creating a barrier against host seeking mosquitoes and, therefore, influences people’s perception of the net’s effectiveness and their willingness to use it. Monitoring the physical integrity of ITNs over time provides information for replenishment schedules and purchasing decisions. Currently, the assessment of physical integrity of ITNs is conducted by manually counting holes and estimating their size to class the net as functional or not. This approach is laborious to routinely conduct during field surveys of ITNs. Automated image analysis may provide a rapid assessment of the physical integrity of ITNs but it is not known if the images can capture sufficient information. As a first step, this study aimed to assess the agreement between estimated hole surface areas derived from (1) manually segmented images, (2) manual hole counting compared to (3) ground truth obtained by calibrated close‑up shots of individual holes. Methods The physical integrity of 75 ITNs purposely selected from an ongoing study was assessed by manual hole counting, image analysis and ground truth. For the image analysis, a graphical user interface was developed and used for the segmentation of holes visible in photographs taken from each side of the net. The hole surface area was then computed from this data. The agreement between the estimates from image analysis and manual hole counting was compared to the ground truth using the Bland–Altman method. Results There was substantial agreement between the manually segmented image analysis estimates and the ground truth hole surface areas. The overall bias was small, with a mean ratio of the hole surface area from image analysis to the ground truth of 0.70, and the 95% limits of agreement ranging from 0.35 to 1.38. Manual hole counting underestimated the hole surface area compared to the ground truth, particularly among nets with holes above 10 cm in diameter. Conclusion Images coupled with manual segmentation contain sufficient information to calculate hole surface area. This lays the groundwork for incorporating automatic hole detection, and then assessing whether this method will offer a fast and objective method for routine assessment of physical integrity of ITNs. While the WHO