Evidence map›Paper›PMID 37111443›Full record

ArticlePathogens (Basel, Switzerland)2023

Effective Methods of Estimation of Pathogen Prevalence in Pooled Ticks.

Gerardo Fracasso, Marika Grillini, Laura Grassi, Francesco Gradoni, Graziana da Rold, Michela Bertola

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Molecular detection ofOne health (Amsterdam, Netherlands) · 2026
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  4. Article
  5. Article
  6. Article
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  8. Article
  9. Multiplex PCR for the differentiation ofCurrent research in parasitology & vector-borne diseases · 2026
    Article
  10. Article
  11. Prevalence ofPathogens (Basel, Switzerland) · 2025
    Article
  12. Animals : an open access journal from MDPI · 2025
    Article
  13. Article
  14. Article
  15. Molecular detection and characterization ofInfection ecology & epidemiology · 2025
    Article
  16. Article
  17. Investigation of Tick-Borne Pathogens inAnimals : an open access journal from MDPI · 2024
    Article
  18. Article
  19. 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

6 authors at 3 institutions in 2 countries.

Gerardo FracassoEco-Epidemiology Group, Department of Biomedical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium.ORCID 0000-0003-3384-4472
Marika GrilliniDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, Italy.ORCID 0000-0001-7285-0141
Laura GrassiDepartment of Animal Medicine, Production and Health, University of Padua, 35020 Legnaro, Italy.
Francesco GradoniIstituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy.ORCID 0000-0003-3397-332X
Graziana da RoldIstituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy.ORCID 0000-0002-4935-0349
Michela BertolaIstituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy.ORCID 0000-0001-6600-7369
Istituto Zooprofilattico Sperimentale delle Venezie · ITUniversity of Padua · ITUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since tick-borne diseases (TBDs) incidence, both in human and animal populations, is increasing worldwide, there is the need to assess the presence, distribution and prevalence of tick-borne pathogens. Reliable estimates on tick-borne pathogens (TBPs) prevalence represent the public health foundation to create risk maps and take effective prevention and control actions against TBDs. Tick surveillance consists of collecting and testing (usually in pools) thousands of specimens. Construction and analysis of tick pools represent a challenge due to the complexity of tick-borne pathogens and tick-borne diseases ecology. The aim of this study is to provide a practical guideline on appropriate pooling strategies and statistical analysis of infection prevalence through: (i) reporting the different pooling strategies and statistical methodologies commonly used to calculate pathogen prevalence in tick populations and (ii) practical comparison between statistical methods utilising a real dataset of infection prevalence in ticks collected in Northern Italy. Reporting detailed information on tick pool composition and size is as important as the correct TBPs prevalence estimation. Among the prevalence indexes, we suggest using maximum-likelihood estimates of pooled prevalence instead of minimum infection rate or pool positivity rate given the merits of the method and availability of software.

Indexed as

EPPminimum infection rateMIRpooled prevalencepoolingpool positivity ratePPRtick-borne diseasestick-borne pathogens

Identifiers

PMID37111443
PMCPMC10146257
OpenAlexW4362671238

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.