Evidence map›Paper›PMID 33036350›Full record

ArticleInternational journal of environmental research and public health2020

Process Evaluation of a Community-Based Microbial Larviciding Intervention for Malaria Control in Rural Tanzania.

Nina Berlin Rubin, Leonard E G Mboera, Adriane Lesser, Marie Lynn Miranda, Randall Kramer

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 14 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

5 authors at 4 institutions in 2 countries.

Nina Berlin RubinDepartment of Earth System Science, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0810-6155
Leonard E G MboeraSACIDS Foundation for One Health, Sokoine University of Agriculture, 3297 Morogoro, Tanzania.
Adriane LesserDuke Global Health Institute, Duke University, Durham, NC 27710, USA.
Marie Lynn MirandaDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.
Randall KramerDuke Global Health Institute, Duke University, Durham, NC 27710, USA.
Duke University · USSouthern African Centre for Infectious Disease Surveillance · TZStanford University · USUniversity of Notre Dame · US

Funding

Implementation Science to Optimize Malaria Vector Control and Disease ManagementR01AI088009 · NIAID · DUKE UNIVERSITY · PI KRAMER, RANDALL A · 2010 to 2013
$2.1M
National Institute of Allergy and Infectious Diseases R01AI088009
6 · The paper itself

Abstract

Microbial larviciding can be an effective component of integrated vector management malaria control schemes, although it is not commonly implemented. Moreover, quality control and evaluation of intervention activities are essential to evaluate the potential of community-based larviciding interventions. We conducted a process evaluation of a larval source management intervention in rural Tanzania where local staff were employed to apply microbial larvicide to mosquito breeding habitats with the aim of long-term reductions in malaria transmission. We developed a logic model to guide the process evaluation and then established quantitative indicators to measure intervention success. Quantitative analysis of intervention reach, exposure, and fidelity was performed to assess larvicide application, and interviews with larviciding staff were reviewed to provide context to quantitative results. Results indicate that the intervention was successful in terms of reach, as staff applied microbial larvicide at 80% of identified mosquito breeding habitats. However, the dosage of larvicide applied was sufficient to ensure larval elimination at only 26% of sites, which does not meet the standard set for intervention fidelity. We propose that insufficient training and protocol adaptation, environment and resource issues, and human error contributed to low larvicide application rates. This demonstrates how several small, context-specific details in sum can result in meaningful differences between intervention blueprint and execution. These findings may serve the design of other larval source management interventions by demonstrating the value of additional training, supervision, and measurement and evaluation of protocol adherence.

Indexed as

AnimalsCulicidaeHumansLarvaMalariaMosquito ControlMosquito VectorsPest Control, BiologicalRural PopulationTanzaniaimplementation assessmentlarval source managementmalariamicrobial larvicideprocess evaluationTanzaniavector control

Identifiers

PMID33036350
PMCPMC7579308
OpenAlexW3092064820

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.