Evidence map›Paper›PMID 28859676›Full record

ArticleParasites & vectors2017

Abundance and distribution of sylvatic dengue virus vectors in three different land cover types in Sarawak, Malaysian Borneo.

Katherine I Young, Stephanie Mundis, Steven G Widen, Thomas G Wood, Robert B Tesh, Jane Cardosa, Nikos Vasilakis, David Perera, Kathryn A Hanley

Abstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
–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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

9 authors.

Katherine I YoungDepartment of Biology, New Mexico State University, Las Cruces, NM, USA. Kiy761@nmsu.edu.
Stephanie MundisDepartment of Biology, New Mexico State University, Las Cruces, NM, USA.
Steven G WidenDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Thomas G WoodDepartment of Biochemistry and Molecular Biology, University of Texas Medical Branch, Galveston, TX, USA.
Robert B TeshDepartment of Pathology and Center for Biodefense and Emerging Infectious Disease, Center for Tropical Diseases; Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
Jane CardosaSentinext Therapeutics, Penang, Malaysia.
Nikos VasilakisDepartment of Pathology and Center for Biodefense and Emerging Infectious Disease, Center for Tropical Diseases; Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
David PereraInstitute of Health & Community Medicine, Universiti Malaysia Sarawak, Kota Samarahan, Sarawak, Malaysia.
Kathryn A HanleyDepartment of Biology, New Mexico State University, Las Cruces, NM, USA.

Funding

World Reference Center for Emerging Viruses and Arboviruses (WRCEVA)R24AI120942 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI WEAVER, SCOTT C · 2016 to 2024
$8.5M
Mechanisms and Public Health Impact of Sylvatic Dengue Virus Emergence in BorneoU01AI115577 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI VASILAKIS, NIKOS · 2016 to 2019
$2.4M
NIAID NIH HHS R24 AI120942NIAID NIH HHS U01 AI115577
6 · The paper itself

Abstract

backgroundMosquito-borne dengue virus (DENV) is maintained in a sylvatic, enzootic cycle of transmission between canopy-dwelling non-human primates and Aedes mosquitoes in Borneo. Sylvatic DENV can spill over into humans living in proximity to forest foci of transmission, in some cases resulting in severe dengue disease. The most likely vectors of such spillover (bridge vectors) in Borneo are Ae. albopictus and Ae. niveus. Borneo is currently experiencing extensive forest clearance. To gauge the effect of this change in forest cover on the likelihood of sylvatic DENV spillover, it is first necessary to characterize the distribution of bridge vectors in different land cover types. In the current study, we hypothesized that Ae. niveus and Ae. albopictus would show significantly different distributions in different land cover types; specifically, we predicted that Ae. niveus would be most abundant in forests whereas Ae. albopictus would have a more even distribution in the landscape.

resultsMosquitoes were collected from a total of 15 sites using gravid traps and a backpack aspirator around Kampong Puruh Karu, Sarawak, Malaysian Borneo, where sylvatic DENV spillover has been documented. A total of 2447 mosquitoes comprising 10 genera and 4 species of Aedes, were collected over the three years, 2013, 2014 and 2016, in the three major land cover types in the area, homestead, agriculture and forest. Mosquitoes were identified morphologically, pooled by species and gender, homogenized, and subject to DNA barcoding of each Aedes species and to arbovirus screening. As predicted, Ae. niveus was found almost exclusively in forests whereas Ae. albopictus was collected in all land cover types. Aedes albopictus was significantly (P = 0.04) more abundant in agricultural fields than forests. Sylvatic DENV was not detected in any Aedes mosquito pools, however genomes of 14 viruses were detected using next generation sequencing.

conclusionsLand cover type affects the abundance and distribution of the most likely bridge vectors of sylvatic DENV in Malaysia Borneo. Conversion of forests to agriculture will likely decrease the range and abundance of Ae. niveus but enhance the abundance of Ae. albopictus.

Indexed as

AedesForestsInsect VectorsAnimal DistributionAnimalsBorneoDengueDengue VirusHigh-Throughput Nucleotide SequencingHumansLarvaMalaysiaPrimatesSevere DengueAedesArbovirusBorneoDengue virusLand coverMosquitoSpilloverSylvatic

Identifiers

PMID28859676
PMCPMC5580228

What OpenQuestion holds

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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.