Evidence map›Paper›PMID 25566522›Full record

ArticleFrontiers in public health2014

Vector-borne disease intelligence: strategies to deal with disease burden and threats.

Marieta Braks, Jolyon M Medlock, Zdenek Hubalek, Marika Hjertqvist, Yvon Perrin, Renaud Lancelot, Els Duchyene, Guy Hendrickx, Arjan Stroo, Paul Heyman and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. VectorNet: Putting Vectors on the Map.Frontiers in public health · 2022
    Article
  12. Environment, vector, or host? Using machine learning to untangle the mechanisms driving arbovirus outbreaks.Ecological applications : a publication of the Ecological Society of America · 2021
    Article
  13. Pathogens (Basel, Switzerland) · 2021
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Evolutionary transition from blood feeding to obligate nonbiting in a mosquito.Proceedings of the National Academy of Sciences of the United States of America · 2018
    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

11 authors.

Marieta BraksCentre for Zoonoses and Environmental Microbiology, Netherlands National Institute for Public Health and the Environment (RIVM) , Bilthoven , Netherlands.
Jolyon M MedlockMedical Entomology Group, MRA, Emergency Response Department, Public Health England , Salisbury , UK.
Zdenek HubalekMedical Zoology Laboratory, Institute of Vertebrate Biology, Academy of Sciences, v.v.i. , Brno , Czech Republic ; Faculty of Science, Department of Experimental Biology, Masaryk University , Brno , Czech Republic.
Marika HjertqvistPublic Health Agency of Sweden (Folkhälsomyndigheten) , Solna , Sweden.
Yvon PerrinCentre National d'Expertise sur les Vecteurs, Centre IRD de Montpellier , Montpellier , France.
Renaud LancelotCIRAD, UMR CMAEE , Montpellier , France ; INRA, UMR CMAEE 1309 , Montpellier , France.
Els DuchyeneAvia-GIS , Zoersel , Belgium.
Guy HendrickxAvia-GIS , Zoersel , Belgium.
Arjan StrooCentre for Monitoring of Vectors, Netherlands Food and Consumer Product Safety Authority (NWVA) , Wageningen , Netherlands.
Paul HeymanResearch Laboratory for Vector-Borne Diseases, Queen Astrid Military Hospital , Brussels , Belgium.
Hein SprongCentre for Zoonoses and Environmental Microbiology, Netherlands National Institute for Public Health and the Environment (RIVM) , Bilthoven , Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the complex nature of vector-borne diseases (VBDs), whereby monitoring of human case patients does not suffice, public health authorities experience challenges in surveillance and control of VBDs. Knowledge on the presence and distribution of vectors and the pathogens that they transmit is vital to the risk assessment process to permit effective early warning, surveillance, and control of VBDs. Upon accepting this reality, public health authorities face an ever-increasing range of possible surveillance targets and an associated prioritization process. Here, we propose a comprehensive approach that integrates three surveillance strategies: population-based surveillance, disease-based surveillance, and context-based surveillance for EU member states to tailor the best surveillance strategy for control of VBDs in their geographic region. By classifying the surveillance structure into five different contexts, we hope to provide guidance in optimizing surveillance efforts. Contextual surveillance strategies for VBDs entail combining organization and data collection approaches that result in disease intelligence rather than a preset static structure.

Indexed as

disease burdenemerging diseasesone healthsurveillancethreatvector-borne diseases

Identifiers

PMID25566522
PMCPMC4273637

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.