Evidence map›Paper›PMID 37463785›Full record

Observational studyBMJ global health2023

Using routine health data to evaluate the impact of indoor residual spraying on malaria transmission in Madagascar.

Emily R Hilton, Saraha Rabeherisoa, Herizo Ramandimbiarijaona, Julie Rajaratnam, Allison Belemvire, Laurent Kapesa, Sarah Zohdy, Catherine Dentinger, Timothee Gandaho, Djenam Jacob and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Emily R HiltonPMI VectorLink Project, PATH, Seattle, Washington, USA ehilton@path.org.ORCID 0000-0001-9319-5203
Saraha RabeherisoaProgramme National de Lutte Contre le Paludisme, Ministère de la Santé Publique, Antananarivo, Madagascar.
Herizo RamandimbiarijaonaProgramme National de Lutte Contre le Paludisme, Ministère de la Santé Publique, Antananarivo, Madagascar.
Julie RajaratnamCenter for Digital and Data Excellence, PATH, Seattle, Washington, USA.
Allison BelemvireUS Agency for International Development, US President's Malaria Initiative, Washington, District of Columbia, USA.
Laurent KapesaUS Agency for International Development, US President's Malaria Initiative, Antananarivo, Madagascar.
Sarah ZohdyEntomology Branch, US Centers for Disease Control and Prevention, US President's Malaria Initiative, Atlanta, Georgia, USA.
Catherine DentingerEntomology Branch, US Centers for Disease Control and Prevention, US President's Malaria Initiative, Atlanta, Georgia, USA.
Timothee GandahoPMI VectorLink Project, Abt Associates, Rockville, Maryland, USA.
Djenam JacobPMI VectorLink Project, Abt Associates, Rockville, Maryland, USA.
Sarah BurnettPMI VectorLink Project, PATH, Washington, District of Columbia, USA.
Celestin RazafinjatoProgramme National de Lutte Contre le Paludisme, Ministère de la Santé Publique, Antananarivo, Madagascar.
Program for Appropriate Technology in Health · USCenters for Disease Control and Prevention · USU.S. President's Malaria Initiative · USVector (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIndoor residual spraying (IRS) and insecticide-treated bed nets (ITNs) are cornerstone malaria prevention methods in Madagascar. This retrospective observational study uses routine data to evaluate the impacts of IRS overall, sustained IRS exposure over multiple years and level of spray coverage (structures sprayed/found) in nine districts where non-pyrethroid IRS was deployed to complement standard pyrethroid ITNs from 2017 to 2020.

methodsMultilevel negative-binomial generalised linear models were fit to estimate the effects of IRS exposure overall, consecutive years of IRS exposure and spray coverage level on monthly all-ages population-adjusted malaria cases confirmed by rapid diagnostic test at the health facility level. The study period extended from July 2016 to June 2021. Facilities with missing data and non-geolocated communes were excluded. Facilities in IRS districts were matched with control facilities by propensity score analysis. Models were controlled for ITN survivorship, mass drug administration coverage, precipitation, enhanced vegetation index, seasonal effects and district. Predicted cases under a counterfactual

resultsExposure to IRS overall reduced case incidence by an estimated 30.3% from 165.8 cases per 1000 population (95% CI=139.7 to 196.7) under a counterfactual no IRS scenario, to 114.3 (95% CI=96.5 to 135.3) over 12 months post-IRS campaign in nine districts. A third year of IRS reduced malaria cases 30.9% more than a first year (incidence rate ratio (IRR)=0.578, 95% CI=0.578 to 0.825, p<0.001) and 26.7% more than a second year (IRR=0.733, 95% CI=0.611 to 0.878, p=0.001). There was no significant difference between the first and second year (p>0.05). Coverage of 86%-90% was associated with a 19.7% reduction in incidence (IRR=0.803, 95% CI=0.690 to 0.934, p=0.005) compared with coverage ≤85%, although these results were not robust to sensitivity analysis.

conclusionThis study demonstrates that non-pyrethroid IRS appears to substantially reduce malaria incidence in Madagascar and that sustained implementation of IRS over three years confers additional benefits.

Indexed as

InsecticidesMalariaHumansMadagascarMosquito ControlRetrospective StudiesInsecticidesEpidemiologyMalariaPublic Health

Identifiers

PMID37463785
PMCPMC10357738
OpenAlexW4384655747

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.