Evidence map›Paper›PMID 27741235›Full record

ArticlePLoS neglected tropical diseases2016

Investigating the Contribution of Peri-domestic Transmission to Risk of Zoonotic Malaria Infection in Humans.

Benny O Manin, Heather M Ferguson, Indra Vythilingam, Kim Fornace, Timothy William, Steve J Torr, Chris Drakeley, Tock H Chua

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. The Role of Human Behavior inInternational journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Impact of environmental factors on the bionomics ofOne health (Amsterdam, Netherlands) · 2025
    Review
  7. Review
  8. Emerging malaria in Indonesia: An overview ofParasite epidemiology and control · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Generating Trust in Participatory Research onInternational journal of environmental research and public health · 2022
    Article
  16. Article
  17. Narrative Review of the Control and Prevention of Knowlesi Malaria.Tropical medicine and infectious disease · 2022
    Review
  18. Non-Human Primate Malaria Infections: A Review on the Epidemiology in Malaysia.International journal of environmental research and public health · 2022
    Review
  19. Article
  20. Review
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

8 authors.

Benny O ManinDepartment of Pathobiology and Medical Diagnostics, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
Heather M FergusonInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, United Kingdom.
Indra VythilingamParasitology Department, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Kim FornaceFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Timothy WilliamJesselton Medical Centre, Kota Kinabalu, Sabah, Malaysia.
Steve J TorrDepartment of Vector Biology, Liverpool School of Tropical Medicine, United Kingdom.
Chris DrakeleyFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Tock H ChuaDepartment of Pathobiology and Medical Diagnostics, Faculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the primate malaria Plasmodium knowlesi has emerged in human populations throughout South East Asia, with the largest hotspot being in Sabah, Malaysian Borneo. Control efforts are hindered by limited knowledge of where and when people get exposed to mosquito vectors. It is assumed that exposure occurs primarily when people are working in forest areas, but the role of other potential exposure routes (including domestic or peri-domestic transmission) has not been thoroughly investigated. METHODOLOGY/PRINCIPAL

findingsWe integrated entomological surveillance within a comprehensive case-control study occurring within a large hotspot of transmission in Sabah, Malaysia. Mosquitoes were collected at 28 pairs households composed of one where an occupant had a confirmed P. knowlesi infection within the preceding 3 weeks ("case") and an associated "control" where no infection was reported. Human landing catches were conducted to measure the number and diversity of mosquitoes host seeking inside houses and in the surrounding peri-domestic (outdoors but around the household) areas. The predominant malaria vector species was Anopheles balabacensis, most of which were caught outdoors in the early evening (6pm - 9pm). It was significantly more abundant in the peri-domestic area than inside houses (5.5-fold), and also higher at case than control households (0.28±0.194 vs 0.17±0.127, p<0.001). Ten out of 641 An. balabacensis tested were positive for simian malaria parasites, but none for P. knowlesi. CONCLUSIONS/SIGNIFICANCE: This study shows there is a possibility that humans can be exposed to P. knowlesi infection around their homes. The vector is highly exophagic and few were caught indoors indicating interventions using bednets inside households may have relatively little impact.

Indexed as

AnimalsAnophelesCase-Control StudiesHousingHumansInsect VectorsMalariaMalaysiaMosquito ControlPlasmodium knowlesiZoonoses

Identifiers

PMID27741235
PMCPMC5065189

What OpenQuestion holds

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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.