Evidence map›Paper›PMID 26142904›Full record

ArticleParasites & vectors2015

Assessment of mosquito larval productivity among different land use types for targeted malaria vector control in the western Kenya highlands.

Eliningaya J Kweka, Stephen Munga, Yousif Himeidan, Andrew K Githeko, Guyuin Yan

Abstract read
In one paragraph

Article in Parasites & vectors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  4. First detection ofbioRxiv : the preprint server for biology · 2023
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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.

Eliningaya J KwekaDivision of Livestock and Human Health Disease Vector Control, Tropical Pesticides Research Institute, P.O. Box 3024, Arusha, Tanzania. pat.kweka@gmail.com.
Stephen MungaCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya. munga_os@yahoo.com.
Yousif HimeidanPan African Mosquito Control Association (PAMCA), P.O. Box 9653, Dar es Salaam, Tanzania. yosifhimeidan@hotmail.com.
Andrew K GithekoCentre for Global Health Research, Kenya Medical Research Institute, P.O. Box 1578, Kisumu, Kenya. githeko@yahoo.com.
Guyuin YanProgram in Public Health, University of California, Irvine, CA, 92697, USA. guiyuny@uci.edu.

Funding

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 TW001505FIC NIH HHS D43 TW01505NIAID NIH HHS R01 AI050243PHS HHS R01 A150243
6 · The paper itself

Abstract

backgroundMosquito larval source management (LSM) is likely to be more effective when adequate information such as dominant species, seasonal abundance, type of productive habitat, and land use type are available for targeted sites. LSM has been an effective strategy for reducing malaria morbidity in both urban and rural areas in Africa where sufficient proportions of larval habitats can be targeted. In this study, we conducted longitudinal larval source surveillance in the western Kenya highlands, generating data which can be used to establish cost-effective targeted intervention tools.

methodsOne hundred and twenty-four (124) positive larval habitats were monitored weekly and sampled for mosquito larvae over the 85-week period from 28 July 2009 to 3 March 2011. Two villages in the western Kenya highlands, Mbale and Iguhu, were included in the study. After preliminary sampling, habitats were classified into four types: hoof prints (n = 21; 17 % of total), swamps (n = 32; 26%), abandoned goldmines (n = 35; 28%) and drainage ditches (n = 36; 29%). Positive habitats occurred in two land use types: farmland (66) and pasture (58). No positive larval habitats occurred in shrub land or forest.

resultsA total of 46,846 larvae were sampled, of which 44.1% (20,907) were from abandoned goldmines, 30.9% (14,469) from drainage ditches, 22.4% (10,499) from swamps and 2.1% (971) from hoof prints. In terms of land use types, 57.2% (26,799) of the sampled larvae were from pasture and 42.8% (20,047) were from farmland. Of the specimens identified morphologically, 24,583 (52.5%) were Anopheles gambiae s.l., 11,901 (25.4%) were Culex quinquefasciatus, 5628 (12%) were An. funestus s.l. and 4734 (10.1%) were other anopheline species (An. coustani, An. squamosus, An. ziemanni or An. implexus). Malaria vector dynamics varied seasonally, with An.gambiae s.s. dominating during wet season and An.arabiensis during dry season. An increased proportion of An. arabiensis was observed compared to previous studies.

conclusionThese results suggest that long-term monitoring of larval habitats can establish effective surveillance systems and tools. Additionally, the results suggest that larval control is most effective in the dry season due to habitat restriction, with abandoned goldmines, drainage ditches and swamps being the best habitats to target. Both farmland and pasture should be targeted for effective larval control. An increased proportion of An. arabiensis in the An. gambiae complex was noticed in this study for the very first time in the western Kenya highlands; hence, further control tools should be in place for effective control of An. arabiensis.

Indexed as

AnimalsCulicidaeEcosystemHuman ActivitiesInsect VectorsKenyaLarvaMalariaMosquito ControlPopulation Dynamics

Identifiers

PMID26142904
PMCPMC4491214

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Registered trials

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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.