| Autor: |
Jeffrey M. Switchenko, Sharon L. Roy, Fredy Muñoz, Gerard Lopez, Jose G. Rivera, Victoria M. Cuéllar, Patricia Juliao, Beatriz López, Andrew Thornton, Jaymin C. Patel, Maricruz Alvarez, Lissette Reyes, Gordana Derado, Wences Arvelo, Kim A. Lindblade |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Journal of Global Health Reports, Vol 5 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2399-1623 |
| DOI: |
10.29392/001c.24585 |
| Popis: |
# Background Aerial images are being used more often to map residential structures on the ground in a study area (the sample frame). However, non-coverage bias associated with overhead imagery has not been fully explored. Non-coverage occurs when residential structures are not included in a particular sampling frame. Our study aimed to evaluate non-coverage bias and sensitivity of an aerial photograph methodology in Nueva Santa Rosa, Guatemala, which was used to generate the sampling frame for a larger cross-sectional survey of sanitation, disease, and water quality. # Methods High-resolution aerial photographs of Nueva Santa Rosa were overlaid with a grid, and roof images were geo-located within randomly sampled cells, dichotomized by population as very high-density (VHD) or non-VHD. Roofs found on-site were compared to roofs found in photographs to evaluate the numbers and sizes of residences excluded from the sampling frame. Non-coverage proportions were estimated, and sensitivity and specificity were assessed. # Results There was no statistically significant difference (1.2%; 95% confidence interval, CI= -12.1-14.6) in non-coverage proportion between VHD segments (39.6%) and non-VHD cells (38.4%). Roof-size range sensitivity and specificity were 66.4% (95% CI=57.6–74.2) and 69.4% (95% CI=54.4–81.3). # Conclusions Approximately one-third of residential roofs were missed, perhaps due to outdated photographs. No substantial bias concerning population density appeared to influence our sampling frame. Further assessment of non-coverage bias, possibly expanding the roof size range to modify sensitivity and specificity, should be performed to generate geographically based best practices for overhead-image use. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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