Evidence map›Paper›PMID 40228135›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

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

David S Galick, Liberato Motobe Vaz, Lucas Ondo, Marcos Mbulito Iyanga, Faustino Etoho Ebang Bikie, Restituto Mba Nguema Avue, Olivier Tresor Donfack, Jeremías Nzamío Mba Eyono, Teresa Ayingono Ondo Mifumu, Dianna E B Hergott and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Characterization ofInsects · 2025
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

David S GalickMCD Global Health, Malabo, Equatorial Guinea.ORCID 0009-0001-3028-7650
Liberato Motobe VazMCD Global Health, Malabo, Equatorial Guinea.
Lucas OndoMCD Global Health, Malabo, Equatorial Guinea.
Marcos Mbulito IyangaMCD Global Health, Malabo, Equatorial Guinea.
Faustino Etoho Ebang BikieMCD Global Health, Malabo, Equatorial Guinea.
Restituto Mba Nguema AvueMCD Global Health, Malabo, Equatorial Guinea.
Olivier Tresor DonfackMCD Global Health, Malabo, Equatorial Guinea.
Jeremías Nzamío Mba EyonoMCD Global Health, Malabo, Equatorial Guinea.
Teresa Ayingono Ondo MifumuMCD Global Health, Malabo, Equatorial Guinea.
Dianna E B HergottInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195.
Wonder P PhiriMCD Global Health, Malabo, Equatorial Guinea.
David L SmithInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA 98195.ORCID 0000-0003-4367-3849
Carlos A GuerraMCD Global Health, Silver Spring, MD 20910.ORCID 0000-0002-4069-9528
Guillermo A GarcíaMCD Global Health, Silver Spring, MD 20910.

Funding

Spatial Targeting and Adaptive Vector Control for Residual Transmission and Malaria Elimination in Urban African SettingsR01AI163398 · NIAID · UNIVERSITY OF WASHINGTON · PI SMITH, DAVID L. · 2021 to 2025
$3.2M
NIAID NIH HHS R01 AI163398
6 · The paper itself

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.

Indexed as

InsecticidesMalariaMosquito ControlAnimalsAnophelesEquatorial GuineaHumansMosquito VectorsRetrospective StudiesInsecticidesindoor residual sprayingmalariavector control

Identifiers

PMID40228135
PMCPMC12037036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.