Evidence map›Paper›PMID 26817785›Full record

ReviewParasitology2016

Plasmodium knowlesi transmission: integrating quantitative approaches from epidemiology and ecology to understand malaria as a zoonosis.

P M Brock, K M Fornace, M Parmiter, J Cox, C J Drakeley, H M Ferguson, R R Kao

Open access · hybridAbstract readReview
In one paragraph

Review in Parasitology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Integrative genomics ofbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Updating estimates ofmedRxiv : the preprint server for health sciences · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Proposed Integrated Control of ZoonoticTropical medicine and infectious disease · 2020
    Review
  18. Review
  19. The problem of scale in the prediction and management of pathogen spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  20. 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

7 authors at 2 institutions in 1 country.

P M BrockInstitute of Biodiversity Animal Health and Comparative Medicine,College of Medical Veterinary and Life Sciences,University of Glasgow,Glasgow,UK.
K M FornaceLondon School of Hygiene and Tropical Medicine,London,UK.
M ParmiterInstitute of Biodiversity Animal Health and Comparative Medicine,College of Medical Veterinary and Life Sciences,University of Glasgow,Glasgow,UK.
J CoxLondon School of Hygiene and Tropical Medicine,London,UK.
C J DrakeleyLondon School of Hygiene and Tropical Medicine,London,UK.
H M FergusonInstitute of Biodiversity Animal Health and Comparative Medicine,College of Medical Veterinary and Life Sciences,University of Glasgow,Glasgow,UK.
R R KaoInstitute of Biodiversity Animal Health and Comparative Medicine,College of Medical Veterinary and Life Sciences,University of Glasgow,Glasgow,UK.
University of Glasgow · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G1100796
6 · The paper itself

Abstract

The public health threat posed by zoonotic Plasmodium knowlesi appears to be growing: it is increasingly reported across South East Asia, and is the leading cause of malaria in Malaysian Borneo. Plasmodium knowlesi threatens progress towards malaria elimination as aspects of its transmission, such as spillover from wildlife reservoirs and reliance on outdoor-biting vectors, may limit the effectiveness of conventional methods of malaria control. The development of new quantitative approaches that address the ecological complexity of P. knowlesi, particularly through a focus on its primary reservoir hosts, will be required to control it. Here, we review what is known about P. knowlesi transmission, identify key knowledge gaps in the context of current approaches to transmission modelling, and discuss the integration of these approaches with clinical parasitology and geostatistical analysis. We highlight the need to incorporate the influences of fine-scale spatial variation, rapid changes to the landscape, and reservoir population and transmission dynamics. The proposed integrated approach would address the unique challenges posed by malaria as a zoonosis, aid the identification of transmission hotspots, provide insight into the mechanistic links between incidence and land use change and support the design of appropriate interventions.

Indexed as

Plasmodium knowlesiAnimalsAsia, SoutheasternCulicidaeDemographyDisease ReservoirsEcologyHuman ActivitiesHumansInsect VectorsMacacaMalariaModels, BiologicalMonkey DiseasesRisk FactorsZoonosesinfectious disease transmissionmacaquemalariamathematical modelmosquitoPlasmodium knowlesiR 0reproduction numbervectorzoonosis

Identifiers

PMID26817785
PMCPMC4800714
OpenAlexW2195335829

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.