Reconsidering indoor residual spraying coverage targets: A retrospective analysis of high-resolution programmatic malaria control data

• 成果类型: Article
• 署名作者: Galick, David S.; Vaz, Liberato Motobe; Ondo, Lucas; Iyanga, Marcos Mbulito; Bikie, Faustino Etoho Ebang; Avue, Restituto Mba Nguema; Donfack, Olivier Tresor; Eyono, Jeremias Nzamio Mba; Mifumu, Teresa Ayingono Ondo; Hergott, Dianna E. B.; Phiri, Wonder P.; Smith, David L.; Guerra, Carlos A.; Guerra, Guillermo A.; Hemingway, Janet
• 署名单位: Institute for Health Metrics & Evaluation; University of Washington; University of Washington Seattle
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13580
• 发表日期: 2025-04-22
• 关键词: doubly robust estimation; bioko island; transmission; insecticide; infection

摘要

Indoor residual spraying (IRS) is one of the core vector control interventions available to malaria control programs. Normative and scientific guidance has long held that very high IRS coverage (at least 80 to 85% houses sprayed) is necessary to provide community protection, but there is little evidence backing these recommendations, in large part due to the operational and ethical concerns that conducting appropriate trials of differing IRS coverage levels would raise. The present study leverages data from four years of targeted IRS implementation on Bioko Island, Equatorial Guinea, to estimate a dose-response curve of IRS coverage. Due to the observational nature of the data, a double robust causal inference technique was utilized. The results suggest that at all spatial scales examined a threshold providing community protection was reached at much lower coverage levels than previously assumed (30 to 50%). Sensitivity analysis corroborated this result across multiple methods, but there was less agreement on whether extremely high coverage (>= 85%) has additional benefit. A secondary analysis of the impact of changing operational coverage targets found that significantly reducing coverage targets (to 30 to 60%) could provide nearly the same protection as maintaining the existing 80% target in Bioko. While these findings are limited in strength by the observational nature of the data and may be specific to the context of Bioko Island, they raise important questions for further research on how IRS coverage impacts epidemiological outcomes and on how malaria control programs should set programmatic IRS coverage targets.