Evidence map›Paper›PMID 37832159›Full record

SynthesisJournal of medical entomology2024

Relationships between water quality and mosquito presence and abundance: a systematic review and meta-analysis.

Marc Avramov, Abhinand Thaivalappil, Antoinette Ludwig, Lauren Miner, Catherine I Cullingham, Lisa Waddell, David R Lapen

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical entomology, 2024. 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
–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

14 citing papers in PubMed.

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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

7 authors.

Marc AvramovDepartment of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada.ORCID 0009-0008-3297-0091
Abhinand ThaivalappilDepartment of Population Medicine, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada.
Antoinette LudwigNational Microbiology Laboratory Branch, Public Health Agency of Canada, 3200 rue Sicotte, C.P. 5000, St. Hyacinthe, QC J2S 2M2, Canada.ORCID 0000-0003-3915-5766
Lauren MinerDepartment of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada.
Catherine I CullinghamDepartment of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, ON K1S 5B6, Canada.
Lisa WaddellNational Microbiology Laboratory Branch, Public Health Agency of Canada, 370 Speedvale Avenue West, Guelph, ON N1H 7M7, Canada.
David R LapenOttawa Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON K1A 0C6, Canada.

Funding

Agriculture and Agri-Food CanadaCarleton University
6 · The paper itself

Abstract

Mosquito-borne diseases (MBDs) are emerging in response to climate and land use changes. As mosquito (Diptera: Culicidae) habitat selection is often contingent on water availability for egg and larval development, studies have recognized water quality also influences larval habitats. However, underlying species-, genera-, and mosquito level preferences for water quality conditions are varied. This systematic review and meta-analysis aimed to identify, characterize, appraise, and synthesize available global data on the relationships between water quality and mosquito presence and abundance (MPA); with the goal to further our understanding of the geographic expansion of MBD risks. A systematic review was conducted to identify studies investigating the relationships between water quality properties and MPA. Where appropriate, random-effects meta-analyses were conducted to provide pooled estimates for the association between the most reported water quality properties and MPA. The most reported water quality parameters were pH (87%), nitrogen concentrations (56%), turbidity (56%), electrical conductivity (54%), dissolved oxygen (43%), phosphorus concentrations (30%), and alkalinity (10%). Overall, pH (P = 0.05), turbidity (P < 0.0001), electrical conductivity (P = 0.005), dissolved oxygen (P < 0.0001), nitrogen (P < 0.0001), and phosphorus (P < 0.0001) showed significantly positive pooled correlations with MPA, while alkalinity showed a nonsignificant null pooled correlation (P = 0.85). We observed high heterogeneity in most meta-analyses, and climate zonation was shown to influence the pooled estimates. Linkages between MPA and water quality properties will enhance our capacity to predict MBD risks under changing environmental and land use changes.

Indexed as

CulicidaeAnimalsEcosystemLarvaNitrogenOxygenPhosphorusWater QualityNitrogenOxygenPhosphorusclimatemeta-analysismosquitosystematic reviewwater quality

Identifiers

PMID37832159
PMCPMC10784781

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.