Evidence map›Paper›PMID 41171830›Full record

ArticlePloS one2025

MALDI-TOF MS for malaria vector surveillance: A cost-comparison analysis using a decision-tree approach.

Jonathan Karisa, Cassidy Rist, Mercy Tuwei, Kelly Ominde, Brian Bartilol, Zedekiah Ondieki, Haron Musani, Caroline Wanjiku, Joseph Mwangangi, Charles Mbogo and 3 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jonathan KarisaKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0002-3383-6782
Cassidy RistVirginia-Maryland College of Veterinary Medicine at Virginia Tech 205 Duck Pond Drive Blacksburg, Virginia, United States of America.
Mercy TuweiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Kelly OmindeKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Brian BartilolKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Zedekiah OndiekiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Haron MusaniKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Caroline WanjikuKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-3861-4190
Joseph MwangangiKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Charles MbogoKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Martin RonoKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Philip BejonKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.
Marta MaiaKenya Medical Research Institute, Wellcome Trust Research Programme, Kilifi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of MALDI-TOF MS for mosquito identification and surveillance is routinely used in developed countries as an affordable alternative to molecular methods. However, in low- and middle-income countries (LMIC) where mosquito-borne diseases carry the greatest burden, the method is not commonly employed. Using the Kenyan national malaria program (NMCP) as a case study, we compared the costs of current methods used for malaria vector surveillance to those that would be incurred if MALDI-TOF MS were used instead.

methodsA deterministic decision tree analytic model was developed to systematically calculate the costs associated with materials and labour, and time-to-results for two workflows, i.e., current molecular methods versus MALDI-TOF MS. The analysis assumed an annual sample size of 15,000 mosquitoes (representing the average number of mosquitoes analysed annually by the Kenyan NMCP) processed at a local laboratory in Kenya.

findingsWe estimate that if the Kenyan national entomological surveillance program shifted sample processing completely to MALDI-TOF MS, it would result in 74.48% net time saving, up to 84% on material costs and 77% on labour costs, resulting in an overall direct cost savings of 83%.

interpretationAdoption of MALDI-TOF MS for malaria vector surveillance can result in substantial time and cost savings. The ease of performance, the rapid turn-around time, and the modest cost per sample may bring a paradigm shift in routine entomological surveillance in Africa.

Indexed as

MalariaMosquito VectorsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsCosts and Cost AnalysisDecision TreesHumansKenya

Identifiers

PMID41171830
PMCPMC12578255

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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.