Evidence map›Paper›PMID 32576188›Full record

ArticleMalaria journal2020

Identification and characterization of immature Anopheles and culicines (Diptera: Culicidae) at three sites of varying malaria transmission intensities in Uganda.

Alex K Musiime, David L Smith, Maxwell Kilama, Otto Geoffrey, Patrick Kyagamba, John Rek, Melissa D Conrad, Joaniter I Nankabirwa, Emmanuel Arinaitwe, Anne M Akol and 5 more

Abstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

15 authors.

Alex K MusiimeInfectious Diseases Research Collaboration, Kampala, Uganda. alexmedicare@yahoo.com.ORCID http://orcid.org/0000-0001-5978-109X
David L SmithDepartment of Health Metrics Sciences, University of Washington, Seattle, USA.
Maxwell KilamaInfectious Diseases Research Collaboration, Kampala, Uganda.
Otto GeoffreyInfectious Diseases Research Collaboration, Kampala, Uganda.
Patrick KyagambaInfectious Diseases Research Collaboration, Kampala, Uganda.
John RekInfectious Diseases Research Collaboration, Kampala, Uganda.
Melissa D ConradDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, USA.
Joaniter I NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Anne M AkolDepartment of Zoology, Entomology and Fisheries Sciences, College of Natural Sciences, Makerere University, Kampala, Uganda.
Moses R KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Grant DorseyDepartment of Medicine, San Francisco General Hospital, University of California, San Francisco, USA.
Sarah G StaedkeFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Chris DrakeleyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, UK.
Steve W LindsayDepartment of Biosciences, Durham University, Durham, UK.

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
Impact of malaria control interventions on the infectious reservoir, host immunity, and drug resistance in UgandaK43TW010365 · FIC · INFECTIOUS DISEASES RES COLLABORATION · PI NANKABIRWA, JOANITER IMMACULATE · 2017 to 2021
$514k
FIC NIH HHS D43 TW010526FIC NIH HHS K43 TW010365Fogarty International Center of the National Institutes of Health D43TW010526National Institute of Allergy and Infectious Diseases U19AI089674NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

backgroundOver the last two decades, there has been remarkable progress in malaria control in sub-Saharan Africa, due mainly to the massive deployment of long-lasting insecticidal nets and indoor residual spraying. Despite these gains, it is clear that in many situations, additional interventions are needed to further reduce malaria transmission. The World Health Organization (WHO) has promoted the Integrated Vector Management (IVM) approach through its Global Vector Control Response 2017-2030. However, prior roll-out of larval source management (LSM) as part of IVM, knowledge on ecology of larval aquatic habitats is required.

methodsAquatic habitats colonized by immature Anopheles and culicines vectors were characterized at three sites of low, medium and high malaria transmission in Uganda from October 2011 to June 2015. Larval surveys were conducted along transects in each site and aquatic habitats described according to type and size. Immature Anopheles, culicines and pupae from the described habitats were sampled using standard dipping methods to determine larval and pupae densities. Larvae were identified as anopheline or culicine, and counted. Pupae were not identified further. Binary logistic regression analysis was used to identify factors associated with the presence of immature Anopheles and culicines in each site.

resultsA total of 1205 larval aquatic habitats were surveyed and yielded a total of 17,028 anopheline larvae, 26,958 culicine larvae and 1189 pupae. Peaks in larval abundance occurred in all sites in March-May and August-October coinciding with the rainy seasons. Anopheles larvae were found in 52.4% (n = 251) of aquatic habitats in Tororo, a site of high transmission, 41.9% (n = 536) of habitats in Kanungu, a site with moderate malaria transmission, and 15.8% (n = 418) in Jinja, a site with low malaria transmission. The odds of finding larvae was highest in rice fields compared to pools in both Tororo (odds ratio, OR = 4.21, 95% CI 1.22-14.56, p = 0.02) and Kanungu (OR = 2.14, 95% CI 1.12-4.07, p = 0.02), while in Jinja the odd were highest in containers (OR = 4.55, 95% CI = 1.09-19.14, p = 0.03). In Kanungu, larvae were less likely to be found in containers compared to pools (OR = 0.26, 95% CI 0.09-0.66, p = 0.008) and river fringe (OR = 0.19, 95% CI 0.07-0.52, p = 0.001). Medium sized habitats were associated with high odds of finding larvae compared to small habitats (OR = 3.59, 95% CI 1.18-14.19, p = 0.039).

conclusionsThese findings show that immature Anopheles and culicines were common in areas of high and moderate transmission but were rare in areas of low transmission. Although immature Anopheles and culicines were found in all types of water bodies, they were most common in rice fields and less common in open drains and in river fringes. Methods are needed to reduce the aquatic stages of anopheline mosquitoes in human-made habitats, particularly rice fields.

Indexed as

Animal DistributionEcosystemAnimalsAnophelesCulicidaeLarvaMalariaMosquito VectorsPupaUgandaAnophelesAnophelineAquatic habitatsCulicineLarvaeMalariaPupaeUganda

Identifiers

PMID32576188
PMCPMC7313098

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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.