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

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 ([Formula: see text]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.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-04-14
DOI
https://doi.org/10.1073/pnas.2421531122
Citations
7
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
13.15

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article

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

Carlos A. Guerra, Liberato Motobe Vaz, David S. Galick, Restituto Mba Nguema Avue et al.
7 citations
Proceedings of the National Academy of Sciences
Malaria Research and Control
13.15
article

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

Carlos A. Guerra, Liberato Motobe Vaz, David S. Galick, Restituto Mba Nguema Avue, Dianna Hergott, Guillermo A. García, Jeremías Nzamío Mba Eyono, Olivier Trésor Donfack, Teresa Ayingono Ondo Mifumu, Marcos Mbulito Iyanga, Wonder P. Phiri, Lucas Ondo, David L. Smith, Faustino Etoho Ebang Bikie
article en
7 citations

Abstract

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 ([Formula: see text]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.

Proceedings of the National Academy of SciencesVol. 122(16)
University of Washington (US), Institute for Health Metrics and Evaluation (US), Medical Care Development International (US)
National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 1%
Malaria Research and Control
13.15
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