Evidence map›Paper›PMID 37798779›Full record

ArticleMalaria journal2023

Effect of predators on Anopheles arabiensis and Anopheles funestus larval survivorship in Homa Bay County Western Kenya.

Pauline Winnie Orondo, Guofa Zhou, Kevin O Ochwedo, Xiaoming Wang, Benyl M Ondeto, Ming-Chieh Lee, Steven G Nyanjom, Harrysone Atieli, Andrew K Githeko, James W Kazura and 1 more

Abstract read
In one paragraph

Article in Malaria journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

11 authors.

Pauline Winnie OrondoDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. paulineorondo@gmail.com.
Guofa ZhouProgram in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA, USA.
Kevin O OchwedoInternational Center of Excellence for Malaria Research, Tom Mboya University, College of Maseno University, Homa Bay, Kenya.
Xiaoming WangProgram in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA, USA.
Benyl M OndetoInternational Center of Excellence for Malaria Research, Tom Mboya University, College of Maseno University, Homa Bay, Kenya.
Ming-Chieh LeeProgram in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA, USA.
Steven G NyanjomDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Harrysone AtieliInternational Center of Excellence for Malaria Research, Tom Mboya University, College of Maseno University, Homa Bay, Kenya.
Andrew K GithekoCentre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya.
James W KazuraCenter for Global Health & Diseases, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Guiyun YanProgram in Public Health, College of Health Sciences, University of California at Irvine, Irvine, CA, USA. guiyuny@uci.edu.

Funding

Vector Biology of Invasive Anopheles stephensi in Rural to Urban Landscapes in EthiopiaU19AI129326 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2017 to 2026
$19.9M
Ecology of African Highland MalariaR01AI050243 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI YAN, GUIYUN · 2001 to 2018
$8.8M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
FIC NIH HHS D43 TW001505NIAID NIH HHS R01 AI050243NIAID NIH HHS U19 AI129326NIH HHS U19 AI129326, D43 TW001505, and R01 AI050243
6 · The paper itself

Abstract

backgroundThe rise of insecticide resistance against malaria vectors in sub-Saharan Africa has resulted in the need to consider other methods of vector control. The potential use of biological methods, including larvivorous fish, Bacillus thuringiensis israelensis (Bti) and plant shading, is sustainable and environmentally friendly options. This study examined the survivorship of Anopheles arabiensis and Anopheles funestus larvae and habitat productivity in four permanent habitat types in Homa Bay county, western Kenya.

methodsPredator densities were studied in a laboratory setup while habitat productivity and larval survivorship was studied in field setup.

resultsFish were observed as the most efficient predator (75.8% larval reduction rate) followed by water boatman (69%), and dragonfly nymph (69.5%) in predation rates. Lower predation rates were observed in backswimmers (31%), water beetles (14.9%), water spiders (12.2%), mayflies (7.3%), and tadpoles (6.9%). Increase in predator density in the field setup resulted in decreased Culex larval density. Larval and pupa age-specific distribution was determined and their survivorship curves constructed. Combined larvae (Stage I-IV) to pupa mortality was over 97% for An. arabiensis and 100% for An. funestus. The highest larval stage survival rate was from larval stages I to II and the lowest from larval stage IV to pupa. Stage-specific life tables indicated high mortality rates at every developmental stage, especially at the larval stage II and III.

conclusionDetermination of the efficiency of various larval predators and habitat productivity will help with the correct identification of productive habitats and selection of complementary vector control methods through environmental management and/or predator introduction (for instance fish) in the habitats.

Indexed as

AnophelesEphemeropteraOdonataAnimalsBaysEcosystemKenyaLarvaMosquito VectorsSurvivorshipWaterWaterAnophelesLarval controlPredation habitat

Identifiers

PMID37798779
PMCPMC10557226

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.