Evidence map›Paper›PMID 28719286›Full record

ArticleThe American journal of tropical medicine and hygiene2017

The Economic Value of Long-Lasting Insecticidal Nets and Indoor Residual Spraying Implementation in Mozambique.

Bruce Y Lee, Sarah M Bartsch, Nathan T B Stone, Shufang Zhang, Shawn T Brown, Chandrani Chatterjee, Jay V DePasse, Eli Zenkov, Olivier J T Briët, Chandana Mendis and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 6 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

13 authors at 8 institutions in 3 countries.

Bruce Y LeeJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Sarah M BartschJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Nathan T B StonePittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Shufang ZhangThe Global Fund to Fight AIDS, Tuberculosis, and Malaria, Geneva, Switzerland.
Shawn T BrownPittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Chandrani ChatterjeeThe Global Fund to Fight AIDS, Tuberculosis, and Malaria, Geneva, Switzerland.
Jay V DePassePittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Eli ZenkovPittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Olivier J T BriëtUniversity of Basel, Basel, Switzerland.
Chandana MendisWorld Vision International, Maputo, Mozambique.
Kirsi ViisainenThe Global Fund to Fight AIDS, Tuberculosis, and Malaria, Geneva, Switzerland.
Baltazar CandrinhoNational Malaria Control Program, Mozambique Ministry of Health, Maputo, Mozambique.
James ColbornPresident's Malaria Initiative, Centers for Disease Control and Prevention, Washington, District of Columbia.
Global Fund to Fight AIDS, Tuberculosis and Malaria · CHPittsburgh Supercomputing Center · USJohns Hopkins University · USCarnegie Mellon University · USMinistry of Health · MZOne World University · MZSwiss Tropical and Public Health Institute · CHU.S. President's Malaria Initiative · US

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI GITTELSOHN, JOEL · 2011 to 2016
$15.9M
Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity SolutionsU01HD086861 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2015 to 2019
$2.8M
AHRQ HHS R01 HS023317NICHD NIH HHS U01 HD086861NICHD NIH HHS U54 HD070725
6 · The paper itself

Abstract

AbstractMalaria-endemic countries have to decide how much of their limited resources for vector control to allocate toward implementing long-lasting insecticidal nets (LLINs) versus indoor residual spraying (IRS). To help the Mozambique Ministry of Health use an evidence-based approach to determine funding allocation toward various malaria control strategies, the Global Fund convened the Mozambique Modeling Working Group which then used JANUS, a software platform that includes integrated computational economic, operational, and clinical outcome models that can link with different transmission models (in this case, OpenMalaria) to determine the economic value of vector control strategies. Any increase in LLINs (from 80% baseline coverage) or IRS (from 80% baseline coverage) would be cost-effective (incremental cost-effectiveness ratios ≤ $114/disability-adjusted life year averted). However, LLIN coverage increases tend to be more cost-effective than similar IRS coverage increases, except where both pyrethroid resistance is high and LLIN usage is low. In high-transmission northern regions, increasing LLIN coverage would be more cost-effective than increasing IRS coverage. In medium-transmission central regions, changing from LLINs to IRS would be more costly and less effective. In low-transmission southern regions, LLINs were more costly and less effective than IRS, due to low LLIN usage. In regions where LLINs are more cost-effective than IRS, it is worth considering prioritizing LLIN coverage and use. However, IRS may have an important role in insecticide resistance management and epidemic control. Malaria intervention campaigns are not a one-size-fits-all solution, and tailored approaches are necessary to account for the heterogeneity of malaria epidemiology.

Indexed as

AnimalsAnophelesCost-Benefit AnalysisHumansInsecticide ResistanceInsecticidesInsecticide-Treated BednetsInsect VectorsMalariaMosquito ControlMozambiqueSensitivity and SpecificityInsecticides

Identifiers

PMID28719286
PMCPMC5462583
OpenAlexW2603983989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.